University of Arkansas, Fayetteville University of Arkansas, Fayetteville
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Graduate Theses and Dissertations
8-2013
Study of Thermotolerance Mechanism in Gossypium Hirsutum Study of Thermotolerance Mechanism in Gossypium Hirsutum
Through Identification of Heat Stress Genes Through Identification of Heat Stress Genes
Jin Zhang University of Arkansas, Fayetteville
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Study of Thermotolerance Mechanism in Gossypium Hirsutum Through Identification of
Heat Stress Genes
STUDY OF THERMOTOLERANCE MECHANISM IN GOSSYPIUM HIRSUTUM
THROUGH IDENTIFICATION OF HEAT STRESS GENES
A thesis submitted in partial fulfillment
of the requirements for the degree of
Master of Science in Crop, Soil and Environmental Science
By
Jin Zhang
Shandong Agricultural University
Bachelor of Science in Bio-science, 2010
August 2013
University of Arkansas
This thesis is approved for recommendation to the Graduate Council
Dr. Vibha Srivastava Thesis Director
Dr. Craig S. Rothrock Dr. Kristofor Brye Committee Member Committee Member
Dr. Derrick M. Oosterhuis Committee Member
ABSTRACT
Heat stress causes major losses to cotton seed and lint yield. Introduction of heat stress
tolerance to Arkansas cotton varieties is highly desirable. However, very little is known about the
molecular basis of heat stress tolerance in cotton. The present study attempted to identify heat
stress tolerance genes in two heat-tolerant cotton cultivars, VH260 and MNH456, originating from
Pakistan. Towards this, the expression profile of the cotton orthologs of seven Arabidopsis heat
stress tolerance genes was studied in these two cultivars, and compared with the two
heat-susceptible cotton cultivars, ST213 and ST4288, originating from Mississippi Delta region.
In addition, physiological parameters such as membrane leakage and chlorophyll fluorescence in
the two set of varieties were studied to analyze the correlation between gene expression and
physiological data. The gene expression data indicated that both heat-tolerant cultivars highly
express heat-shock proteins and heat-shock transcription factors after heat treatment whereas
heat-susceptible cultivars show a lower expression. Similarly, Ascorbate Peroxidase I and
Annexin 8, the two general stress proteins are also highly induced in at least one of the heat
tolerant cultivars in response to heat treatment. No obvious differences were found in
photochemical efficiency of PSII in the four lines. However, heat susceptible cultivars show
greater membrane leakage after heat treatment as compared to the heat tolerant lines. This work
suggests that early induction of heat stress tolerance genes such as heat shock proteins and heat
shock factors play an important role in conferring heat stress on cotton varieties, VH260 and
MNH456.
ACKNOWLEDGEMENTS
I would like to express my gratitude and give credits to all the people that contribute to the
realization of this work. First and foremost, I would like to thank my previous advisor Dr. James
Mc. Stewart for giving me the opportunity doing research in the University of Arkansas and
providing assistantship needed to complete the project. I would also like to express my gratitude to
my advisor Dr. Vibha Srivastava for her guidance, support and active involvement of this research.
Her patience have been challenged but never outreached. I would like to thank Dr. Derrick M.
Oosterhuis for his guidance, research materials and growth chamber offered. Without his constant
support, I would not be able to complete the project. I would like to thank my advisory committee:
Dr. Kristofor Brye and Dr. Craig S. Rothrock for their advice, involvement in the project, and
critical review of my thesis. Also, big thanks to all the fellows in my lab: Aydin, Jamie, Gualab,
Soumen and Linh, and Dr. Oosterhuis’s lab: Toby, Tyson, Nguyen and Dimitra, many days were
spent with you working together and I learnt a lot from you guys.
My last thanks have to go to my parents for all their support through my college career.
Though they are not by my side, but they are always so understanding. Without their love I would
not have made it this far. Thanks for everything that everyone has done for me throughout the years
that helped me in my study and life, and thanks to all my friends (Cheng Li, Xiang Yan, Lei Huang,
Jack Xu and all my brothers and sisters in Fayetteville) to be with me at this great point in my life.
DEDICATION
This edition of the Study of Thermotolerance Mechanism in Gossypium Hirsutum Through
Identification of Heat Stress Genes is dedicated to all master and doctoral students at the
University of Arkansas.
TABLE OF CONTENTS
Study of Thermotolerance Mechanism in Gossypium hirsutum through Identification of
Heat Stress Genes
HYPOTHESIS AND OBJECTIVES ...................................................................................... 1
INTRODUCTION AND LITERATURE REVIEW
Cotton Taxonomy and Development ..................................................................................... 2
Heat Stress in Plants............................................................................................................... 3
Effects of Heat on Cotton Productivity .................................................................................. 4
Cotton in Arkansas ................................................................................................................. 6
Cotton Physiological Responses to High Temperature .......................................................... 7
Hormonal Changes under Heat Stress ................................................................................. 12
Oxidative Damage under High Temperature ....................................................................... 13
Mechanism of Heat Tolerance ............................................................................................. 14
Temperature Sensing and Signaling ..................................................................................... 18
Study of HSPs in Different Cotton Genotypes .................................................................... 20
Literature Cited .................................................................................................................... 22
CHAPTER 1
Comparison of the Physiological Responses to Heat Stress Between the Selected Heat
Tolerant and Heat Susceptible Genotypes of Cotton
Abstract ................................................................................................................................ 34
Introduction .......................................................................................................................... 35
Materials and Methods ......................................................................................................... 36
Statistical analysis ................................................................................................................ 38
Results and Discussion ........................................................................................................ 38
Acknowledgements .............................................................................................................. 41
References ............................................................................................................................ 42
Figure Legends..................................................................................................................... 44
CHAPTER 2
Identification of Cotton Orthologs of Arabidopsis Heat Tolerance Genes
Abstract ................................................................................................................................ 49
Introduction .......................................................................................................................... 50
Materials and Methods ......................................................................................................... 53
Result ................................................................................................................................... 54
References ............................................................................................................................ 59
CHAPTER 3
Study of the Gene Expression Pattern of Heat-Response Genes in the Cotton Cultivars
Exhibiting Heat Tolerance and Susceptibility
Abstract ................................................................................................................................ 63
Introduction .......................................................................................................................... 64
Materials and Methods:........................................................................................................ 66
Result and Discussion .......................................................................................................... 68
References ............................................................................................................................ 73
Figure Legends..................................................................................................................... 78
CONCLUSION ...................................................................................................................... 86
APPENDIX………………………………………………………………………………….87
1
HYPOTHESIS AND OBJECTIVES
Hypothesis
Arabidopsis has been used as a model plant in many molecular and genetic studies for
identifying genes associated with heat tolerance. Cotton orthologs of these Arabidopsis genes will
have the same function i.e. conferring heat tolerance in cotton.
Goal
To understand the thermotolerance mechanism and metabolic pathway involved in heat
stress tolerance in cotton by measuring the expression of cotton orthologs of heat-induced
Arabidopsis genes.
Towards this goal, following objectives were addressed:
1. To compare the physiological responses to heat stress between the selected heat tolerant
and heat susceptible genotypes of cotton.
2. To identify cotton orthologs of Arabidopsis heat tolerance genes
3. To study the gene expression pattern of heat-response genes in the cotton cultivars
exhibiting heat tolerance and susceptibility
2
INTRODUCTION AND LITERATURE REVIEW
Cotton Taxonomy and Development
Cotton is the world’s most important textile fiber and the second most important oil seed
crop. The genus Gossypium can be classified into 45 diploid and 5 allotetrapoid species (Fryxell,
1992). Among these species, four species of domesticated cotton are used for their seeds coats’
spinnable fibers (Lee, 1984). They are G. arboretum, G. herbaceum, G. barbadense, and G.
hirsutum (Brubaker et al., 1999). Though G. arboretum and G. herbaceum are still cultivated in
some parts of Africa and Asia, G. barbadense, and G. hirsutum are the dominant species in world
cotton production. Gossypium hirsutum, which is the indigenous species in Americas, is today the
most widely planted species of cotton in the world, constituting about 90% of production
worldwide (Brubaker et al., 1999).
Five stages of the growth and development of the cotton plant have been characterized:
germination and emergence, seedling establishment, leaf area and canopy development, flower
and boll development, and maturation. Seed germination usually takes 5-10 days for seedling to
emerge (Oosterhuis, 1990). Thirty five to forty days after emergence, the first observable floral
bud is recorded on the 6-9th
node (Beasley, 1975; Oosterhuis, 1990). It takes another 20-25 days
for the first square to anthesis (Beasley, 1975). During anthesis, white flowers open at dawn and
then within the following few hours, pollination occurs (Stewart, 1986; Oosterhuis, 1990).
However, it takes another 12 or more hours to finish fertilization since the pollen tube has to grow
3
down the style into the micropyle (Stewart, 1986). According to Walhood and McMeans (1964),
high successful fertilization rate positively influences the retention of the boll. Thus, cotton yield is
adversely affected when fertilization is adversely affected by environment or other factors
(Stewart, 1986).
Heat Stress in Plants
The global climate is changing fast over the decades. The world concentration of carbon
dioxide (CO2) has risen rapidly from around 350 mmol mol-1
in 1980 to 378 mmol mol-1
in 2007
(Singh et al., 2007). With the increasing human population and energy consumption from fossil
fuels, it is predicted that CO2 concentration will rise even faster in the future. This will directly
lead to the increase of the surface mean temperature. According to a report of the
Intergovernmental Panel on Climatic Change (IPCC), global mean temperature will rise 0.3℃
per decade (Jones et al., 1999) reaching approximately 1 and 3℃ above the present value by years
2025 and 2100. In addition, it is predicted that climate, in the future will have more frequent short
episodes of high temperature (Singh et al., 2007).
Heat shock or heat stress is defined as the increase in temperature that exceeds the level of
plant threshold temperature for a period of time, and causes irreversible damage to plant growth
and development (Wahid et al., 2007). Generally, heat shock or heat stress is caused at 10–15℃
higher than ambient temperature (Wahid et al., 2007). The definition of heat tolerance is the ability
4
of plant to grow and produce economically viable yield under higher temperatures (Peet and
Willits, 1998).
Heat stress due to high ambient temperatures is a worldwide problem that threatens crop
production (Hall, 2001). At extremely high temperatures, plant cells can be damaged or even killed
within minutes because of the catastrophic collapse of cellular organization (Schooffl et al., 1999).
At moderately high temperatures, long-term exposures can lead to the plant injuries or death. High
temperatures can cause direct injuries in the form of protein denaturation and aggregation, and
increased fluidity of membrane lipids. The denatured protein then loses enzyme activity in
chloroplasts and mitochondria, inhibits protein synthesis, induces protein degradation, and breaks
membrane integrity (Howarth, 2005). These injuries eventually lead to plant starvation, inhibition
of growth, reduced ion flux, production of toxic compounds and reactive oxygen species (ROS)
(Schooffl et al., 1999; Howarth, 2005). For example, sugarcane plants exhibit smaller internodes,
increased tillering, early senescence, and reduced total biomass under high temperatures (Ebrahim
et al., 1998).
Effects of Heat on Cotton Productivity
The production of cotton can be affected by many factors. Although yield is greatly affected
by genetics and management practices, the environment also plays an important role during plant
development, and affects plant potential yield. The current temperatures in most of the cotton
producing regions are already close to or above the optimum temperature for growth. All
5
vegetative and reproductive stages can be affected by high temperature. During the vegetative
stage, for example, high day temperature can damage leaf gas exchange properties. During
reproduction, a short period of heat stress can cause significant increases in the dropping of floral
buds and opened flowers (Wahid et al., 2007). Another study showed that high temperature can
not only influence planting seed by delaying germination or loss of vigor, which lead to the
reduction of emergence and seedling establishment (Weaich et al., 1996), but also influence
fertilization and boll retention during flowering and the boll growth period (Snider et al. 2010).
Since elevated temperatures are an important factor that causes impairment of pollen and anther
development (Peet et al., 1998; Sato et al., 2006), the increase in temperature or episodes of heat
stress during summer strongly decreased final yields (Wahid et al., 2007). For instance, a
simulation study with Gossypium hirsutum showed that enhanced CO2, high temperature, and
drought (predicted to occur concurrently) result in a projected 9% reduction in lint yield (Reddy et
al., 2002). Oosterhuis (2002) and Bibi et al. (2005) also found reduced yield when high
temperature occurred in Arkansas during reproductive development of cotton. A strong correlation
between temperature and cotton yield was found in which high temperature during flowering
resulted in lower yields (Oosterhuis, 2002).
Upland cotton is vulnerable to heat stress during the summer. Burke and Oliver (1993)
reported that for various species, the thermal kinetic window (TKW) for enzyme activity strongly
correlates with optimal temperatures for general metabolism and growth. Cotton’s TKW is
6
between 23.5℃ to 32℃ (Burke et al., 1988). Since typical daily high temperatures during summer
are often above this range, heat is a limitation to cotton development and productivity. For instance,
Upland cotton grown under 40/30℃ day/night temperature regime showed 50% decrease of total
shoot biomass compared to cotton grown under optimal 30/20℃ day/night temperature (Reddy et
al., 1991). High temperature can also affect the cotton production through reducing fruit retention
and boll size (Brown, 2001). For example, with higher temperatures above 30℃ daily maximum
temperature, the number of bolls retained per plant declined substantially (Reddy et al., 1991;
Reddy et al., 1992; Reddy et al., 1995; Zhao et al., 2005). Other two studies showed high
temperature negatively impacted boll size: Reddy et al. and Pettigrew (1999, 2008) also found a
significant decline in boll mass under elevated temperatures. According to Pettigrew (2008)
decreased seed number under heat stress caused the decline of boll size and lint yield. And the seed
number is mainly decided by ovule fertilization, which may be strongly affected by high
temperature. In order to overcome negative effects of heat stress, it is important to identify and/or
develop heat‐tolerant cultivars (Wahid et al., 2007). At present, the major constraint for identifying
heat‐tolerant cultivars is the lack of efficient screening tools, such as molecular markers. Better
understanding of the impact of high‐temperature stress on physiological, morphological, and yield
processes is necessary, which would not only mitigate the adverse effects of high‐temperature
stress but also help develop reliable field‐screening tools (Wahid et al., 2007).
Cotton in Arkansas
7
Over 658,362 acres of cotton was planted in 2011 in Arkansas. The production area is mainly
focused in the east part of Arkansas. The Arkansas Delta region, which stretches from Mississippi
County to Chicot County, leads in cotton production. In addition, there are smaller amounts of
cotton produced in southwest Arkansas (Carter, 2012). In 2011, among 75 Arkansas counties,
cotton was grown in 26 of them (FSA, 2012). In Arkansas, cotton planting usually takes place
between mid-April and mid-May. Barber et.al (2012) recommended that it is better to have the
cotton planted before May 9th for northern cotton producers to avoid slight decrease in yield
potential, and planting after May 16th may cause potential yield decreases in both northern and
southern part of Arkansas. Eighty nine percent of cotton was irrigated in Arkansas in 2011.
According to Carter (2012), cotton, which is similar to corn, performs best on deep, well-drained,
medium to coarse textured soils. Cotton is a very important crop to the Arkansas’s economy, and it
ranks as the third highest valued agricultural crop, with a value of approximately $577 million
dollars in 2011 in Arkansas. This accounts for approximately 14% of the total cash receipts for
Arkansas crops, and ranks third among all cotton producing states (NASS, 2012).
During summer in Arkansas, excesses in radiation, drought, and high temperatures are often
the main factors that limit plant growth and crop yield (Guilioni et al., 1997). Heat stress has been
reported as one of the most important causes of reduction in yield and dry matter production in
cotton (Oosterhuis, 2002; Bibi et al., 2005).
Cotton Physiological Responses to High Temperature
8
As under drought stress, cotton plants under heat stress have a general tendency of showing
smaller cells, absence of stomata to reduce water loss, increased stomatal and trichomatous
densities, and greater xylem vessels of both root and shoot (Anon et al., 2004). At the
sub-cellular level, heat stress makes changes in chloroplasts, which strongly influences
photosynthesis. Research has shown that high temperatures curtailed photosynthesis by
modifying the thylakoid structure (Karim et al., 1997). Studies have also revealed that specific
effects of high temperatures on photosynthetic membranes result in the loss of grana stacking or
its swelling (Wahid et al., 2007). Since any constraint in photosynthesis can limit plant growth,
high temperatures negatively affect plant development. Researchers have suggested that the core
sites that can be injured by high temperatures are photochemical reactions in thylakoid lamellae
and carbon metabolism in the stroma (Wise et al., 2004). Furthermore, chlorophyll a and b
degradation was more obvious in developed leaves than developing leaves under high
temperatures (Karim et al., 1997, 1999). It is believed that the production of active oxygen species
is the factor that effects on chlorophyll or photosynthetic apparatus (Camejo et al., 2006; Guo et al.,
2006). High temperatures can also influence the photochemical efficiency of photosystem II
(PSII). PSII is highly sensitive to high temperature. Its activity is greatly decreased or even
partially stopped under heat stress (Bukhov et al., 1999; Camejo et al., 2005). This phenomenon
can be understood in the following two ways: First, because of the dissociation of oxygen
evolving complex (OEC) under heat stress, the imbalance occurs between the electron flows from
OEC toward the acceptor side of PSII (De Ronde et al., 2004). Second, heat stress causes
9
dissociation of manganese (Mn)-stabilizing 33-kDa protein and release of Mn atoms at PSII
reaction center complex (Yamane et al., 1998). Heat stress also impairs other parts of the reaction
center, like the D1 and/or the D2 proteins (De Las Rivas and Barber, 1997). This allows proline as
an alternative internal e- donor to donate electrons to PSII (Ronde et al. 2004).
High temperature influences plant photosynthetic capacity. It alters the energy distribution
and changes the activities of carbon metabolism enzymes, particularly the
ribulose-1,5-bisposphate carboxylase/oxygenase (rubisco) (Wahid et al., 2007). Arguments
existed whether high temperature inhibits photosynthesis through inactivation of rubisco or
ribulose-1,5-bisphosphate (RuBP) regeneration capacity. Feller et al. (1998) reported that rubisco
was inhibited at temperatures above 35℃ when upland cotton leaf tissue was exposed to
increasing temperature. However in field-grown Pima cotton, Wise et al. (2004) revealed that
under 39.4℃, leaf photosynthesis was functionally limited by the limitation of electron transport
and RuBP regeneration capacity. These researches suggested that electron transport and RuBP
regeneration were sensitive to short-term, moderately high temperature (Snider et al., 2010). Also,
high temperatures cause a decrease of biochemical reaction rate, and inactivation and denaturation
of enzymes, which result in severe reduction of photosynthesis (Nakamoto and Hiyama, 1999).
The imbalance between photosynthesis and respiration is another well-known outcome of
heat stress in plants. Generally, under high temperatures, with the decrease of photosynthesis rate,
dark- and photo-respiration rates increase considerably. For example, photorespiration in cotton at
10
moderately high temperature (35℃) has been shown to represent approximately 50% of
photosynthesis (Perry et al., 1983). Keys et al. (1977) also reported the increase in
photorespiration and decrease in photosynthesis in wheat under stress. The reason is attributed to
an increase in the oxygenase/carboxylase activity of rubisco under heat stress (Hall & Keys,
1983).
Dark respiration rates also highly increase under heat stress. For instance, research on bean
showed that respiration rate in beans exposed to high day/night temperature doubled than those
under the control temperature (Cowling and Sage, 1998). Also, according to Loka and Oosterhuis
(2012), high night temperatures caused a significant increase in respiration rates, which resulted
in a reduction of leaf energy levels and carbohydrate content. Since high respiration consumes
more carbohydrate, it will then decrease the carbon allocation to the sink organs. In cotton,
carbohydrate needs to be translocated from adjacent leaves to cotton bolls. The carbon
assimilation of the capsule wall also supports the development of cotton bolls (Wullschleger and
Oosterhuis, 1990; Wullschleger et al., 1991). Because high temperature increased respiratory
losses and decreased photosynthetic rates, it is expected to directly increase boll abscission rates.
According to Zhao et al. (2005) significantly higher abscission rates were observed in cotton
plants exposed to a higher day/night temperature regime (36/28℃) than those at optimal
temperature (30/22℃). Zhao et al. (2005) also claimed that significantly lower nonstructural
carbohydrate levels in the developing bolls is the main factor that contributes to boll abscission.
11
As a conclusion, carbohydrate limitation was the primary reason for fruit abscission. Under low
to moderate heat stress, a reduction in source and sink activities may occur leading to severe
reductions in growth, economic yield and harvest index (Wahid et al., 2007). Research showed that
even upland cotton exposed to a temperature of 40℃ for only 15 minutes had reduction of
translocation, which could be explained by the increased callose deposition on the sieve plates of
phloem cells (McNairn, 1972).
Cell membrane thermostability should also be taken into consideration under high
temperatures. Many processes including photosynthesis and respiration require a stable
environment and sustained function of cellular membranes (Blum, 1988). Heat stress accelerates
molecule movement across membranes, which result in loosening chemical bonds within
molecules (Wahid et al., 2007). Both denaturation of proteins and increase in unsaturated fatty
acids then result in more fluidity of the lipid bilayer of biological membranes (Savchenko et al.,
2002). Because the tertiary and quaternary structures of membrane proteins can be easily altered
under high temperature, the biological membranes are very vulnerable to heat stress. Such
alterations increase membrane permeability, leading to increased loss of electrolytes. Solute
leakage has been used as a measurement of heat-stress tolerance in diverse plant species, since it
could be an indication of decreased cell membrane thermostability (CMT) (Ashraf et al., 1994).
Research in Arabidopsis showed, total lipid content in membranes decreased 50% and the ratio of
unsaturated to saturated fatty acids decreased to 1/3 in those plants grown under high temperature
12
as compared to plants grown in normal temperature (Somerville and Browse, 1991).
Hormonal Changes under Heat Stress
Though the ability to tolerate specific stresses varies among species, it is well known that
plants can monitor and adapt to unfavorable environmental conditions. Hormones play an
important role in this process. Organisms have the ability to organize and identify different inputs
and respond appropriately through cross-talk in hormone signaling (Wahid et al., 2007). Heat
stress can alter hormones in many aspects including hormonal homeostasis, stability, content,
biosynthesis and compartmentalization (Maestri et al., 2002).
The stress hormone, abscisic acid (ABA), regulates many physiological properties. Like
other environmental stresses, heat stress can result in increased levels of ABA (Larkindale and
Huang, 2005). In the field, where heat stress is combined with drought stress, ABA induction
plays an important role in thermotolerance. It is suggested that ABA is involved in biochemical
pathways, which are indispensable for plants survival under heat and drought stress (Maestri et al.,
2002). One function of ABA is to modify gene expression. Analysis has been done on
ABA-responsive promoters, which includes several potential cis- and trans-acting regulatory
elements (Swamy and Smith, 1999). ABA can mediate up- or down-regulation of numerous genes
to help plant acclimate/adapt to dry environment (Xiong et al., 2002). Other researches also claim
that several heat shock proteins (HSPs) (e.g. HSP70) are also induced by ABA, which may be a
part of thermotolerance mechanism (Pareek et al., 1998). What’s more, heat shock transcription
13
factor 3 (HSF3) is ABA inducible as well (Rojas et al., 1999).
Salicylic acid (SA), another hormone, was also suggested to be responsive to heat-stress.
One function of SA is to clear the reactive oxygen species (ROS) and sugars at different plant
stages (Clarke et al., 2004; Frank et al., 2009; Larkindale and Huang, 2005). As a stress signaling
substrate, SA has been found to protect potato, mustard, tomato, bean, and Arabidopsis from heat
stress (Dat et al., 1998; Larkindale and Knight, 2002; Lopez- Delgado et al., 2009). SA can also
help heat shock transcription factors bind to the promoter of related genes (Wang and Li, 2006).SA
can also stabilize the trimers of heat shock transcription factors, which help them bind heat shock
elements to the promoter of related genes (Wang and Li, 2006).
Oxidative Damage under High Temperature
Heat stress can cause oxidative damage. Incomplete reduction of O2 from inefficient
photosynthetic or respiratory electron transport will result in reactive oxygen species (ROS)
accumulation (Iba, 2002; Agarwal et al., 2005). Generation of ROS due to high temperature leads
to cellular injury symptoms such as increasing of solute leakage and molecular damage (Liu and
Huang, 2000). ROS, which includes singlet oxygen (1O2), superoxide radical (O2−), hydrogen
peroxide (H2O2), and hydroxyl radical (OH−), can cause the autocatalytic peroxidation of
membrane lipids and pigments that results in the loss of membrane semi-permeability (Xu et al.,
2006).
14
Chloroplasts and mitochondria are the places where superoxide radicals are regularly
synthesized, as well as microbodies (Wahid et al., 2007). Superoxide dismutase (SOD), which
functions in eliminating O2−
produces H2O2 at the same time. H2O2 is then removed by ascorbate
peroxidase (APX) or catalase (CAT). While comparing with O2−
and, H2O2, OH− is more toxic.
OH− can cause damage to chlorophyll, proteins, DNA, lipids and other important macromolecules
that fatally affect plant metabolism, and finally lead to decrease in growth and yield (Sairam and
Tyagi, 2004).
Plants protect cells from oxidative damage through both enzymatic and non-enzymatic
detoxification mechanisms (Sairam and Tyagi, 2004). For instance, a number of physiological
changes occur upon overexpression of Superoxide dismutase (SOD) in plants. These changes
include removal of H2O2, oxidation of toxic reductants, biosynthesis and degradation of lignin in
cell walls, auxin catabolism, defensive responses to wounding, defense against pathogen or insect
attack, and some respiratory processes (Scandalios, 1993).
Mechanism of Heat Tolerance
In order to survive under high temperatures, plants have several different mechanisms
which include phenological and morphological adaptations, and avoidance or acclimation
mechanisms (Wahid et al., 2007). Changing leaf orientation, transpirational cooling, or alteration
of membrane lipid compositions, all belong to these mechanisms. Also, plants at different
developmental stages, and different tissues may have different thermotolerance mechanisms
15
(Queitsch et al., 2000). When stress occurs, stress signals, such as osmotic, ionic effects, changes in
temperature, and membrane fluidity, are created, which trigger downstream signaling processes.
The activation of stress-responsive mechanisms can help recover homeostasis and repair damaged
proteins and membranes (Wahid et al., 2007).
As a response to heat stress, plants undergo a series of molecular protective reactions. For
example, plants can change membrane composition to maintain functional integrity, and activate
oxidative defense systems, which are essential for cellular protection (Clarke et al., 2004;
Larkindale and Knight, 2002; Larkindale and Huang, 2005). Among these molecular protective
reactions, heat shock proteins (HSPs) play a crucial role. After plant is exposed to high
temperatures, changes occur at the molecular level. These changes include changing in expression
of genes and synthesis of stress-related proteins (Iba, 2002). HSPs, located in the cytoplasm and a
variety of cellular organelles, are evolutionarily conserved groups of molecules, and are
ubiquitous in all species (Iba, 2002; Vierling 1991). According to the difference of molecular
weights of HSPs, they are divided into five groups: HSP100s; HSP90s; HSP70s; HSP60s; and
small HSPs (sHSPs; 12–40 kDa) (Wang et al., 2004). It is widely accepted that HSPs function as
molecular chaperones to prevent aggregation and denaturing of cell proteins in response to high
temperature, and then to promote the appropriate refolding of denatured proteins (Frydman, 2001).
Specifically, HSPs help distorted proteins fold into normal shape and help shuttling old proteins to
“garbage disposals” (Wahid et al., 2007). For example, according to Sung et al. (2001) the
16
HSP70 group, one of the most conserved gene families, can promote the denatured protein
refolding under heat stress. Further, Su and Li (2008) confirmed the importance of plastid stromal
Hsp70s in basal thermotolerance of Arabidopsis. Involvement of HSPs as integral components of
acquired thermotolerance is well documented not only in plants but also in animals (Iba, 2002;
Vierling 1991). In addition, heat-shock transcription factors (HSFs), which bind heat-shock
promoter elements (HSEs) in the promoter regions, can regulate heat-inducible gene expression,
including that of HSP genes (Hsu et al., 2010).
Small HSPs can assemble heat shock granules (HSGs) and their disintegration. This will
benefit plant cells survival under continuous high temperature stress conditions (Miroshnichenko
et al., 2005). It was observed in a heat-tolerant line (ZPBL-304) of maize that under heat stress,
increased amount of chloroplast protein synthesis occurred as it is known that the presence of
HSPs can prevent protein denaturation caused by high temperature (Moriarty et al., 2002). The
conformational dynamism and aggregate state of small HSPs may be vitally important in
protecting plant cells from adverse effects of heat stress (Schooffl et al., 1999; Iba, 2002). For
example, Miroshnichenko et al. (2005) reported that: “small HSPs combined and formed into a
granular structure in the cytoplasm, which may function in protecting the protein biosynthesis
machinery in tomato plants under heat stress.” Several studies mentioned the involvement of
HSPs/chaperones in other stress-response mechanisms (Wang et al., 2004). The HSPs/chaperones
not only participate in regulating cellular redox state (Arrigo, 1998), but also in stress signal
17
transduction and gene activation (Nollen and Morimoto, 2002). HSPs can interact with the
stress-response mechanisms of osmolytes and antioxidant production as well (Wahid et al., 2007).
Besides HSPs, there are a number of other plant proteins that are involved in plant
thermotolerance mechanisms. Many researches have confirmed the expression of ubiquitin (Sun
and Callis, 1997), Pir proteins (Yun et al., 1997), late embryogenesis abundant (LEA) proteins
(Goyal et al., 2005) and dehydrins (Arora et al., 1998) under heat stress. It is also reported that
these proteins mainly function in protecting cellular and sub-cellular structures against oxidative
damage and dehydration forces.
Thermotolerance is the ability of an organism dealing with excessively high temperatures
(Wahid et al., 2007). It is well known that plants can acquire thermotolerance probably within
hours in order to survive under high temperatures (Vierling, 1991). It is an autonomous cellular
phenomenon, which can be acquired through exposure to a short but sublethal high temperature
as pretreatment. With the acquisition of high level of thermotolerance, a plant can protect its cells
from the subsequent lethal heat stress (Vierling, 1991). A number of processes are involved in the
acquisition of thermotolerance. Studies on Arabidopsis mutants have shown that not only heat
shock proteins (HSP32 and HSP101), but also ABA, ROS and SA pathways are involved in the
development and maintenance of the acquired thermotolerance (Larkindale and Huang, 2005;
Charng et al., 2006). According to Wahid et al. (2007), acquired thermotolerance is principally
related to the display of heat shock response, and accomplished by reprogramming of gene
18
expression, which allows plants to survive under heat stress. Since heat-stress responses in
plants are similar to other environmental stresses, such as cold and drought, the study of
acquired thermotolerance can provide useful information for general stress tolerance in
plants (Rizhsky et al., 2002).
Temperature Sensing and Signaling
The induction of the sensor of heat stress and transport of the generated thermal signal,
which can switch on adaptive response mechanisms, are important parts of stress tolerance.
Multiple stress perceptions and signaling pathways are involved in heat response mechanisms,
among these mechanisms, some are specific to heat response, while others are involved in
various steps in general stress responses (Chinnusamy et al., 2004). General response to stress
involves signaling of the stress via the redox system. Genomic re-programing was activated
by chemical signals such as ROS, Ca2+
and plant hormones via signaling cascades (Joyce et
al., 2003; Suzuki and Mittler, 2006).
Various signaling molecules, as well as ions are involved in temperature sensing and
signaling. When plants are under heat stress, cytosolic Ca2+ sharply rises (Larkindale and Knight,
2002). It seems that it is the increase of Ca2+ concentration in cytosol that transduces high
temperature induced signals to Mitogen Activated Protein Kinase (MAPK). MAPK cascades,
which have a crucial function in signal transduction pathways in plants, are considered to have a
prominent role in coping with many responses to external signals (Kaur and Gupta, 2005). Due
19
to the heat stress, significant changes appear in membrane fluidity, and cytoskeletal remodeling
triggers the activation of the heat-shock activated MAPK (HAMK) (Sangwan and Dhindsa, 2002).
On the other hand, the expression of HSPs also has close relation with Ca2+ influx and the action
of Ca-dependent protein kinases (CDPK) (Sangwan and Dhindsa, 2002). Even though some
former research claims that Ca2+ is not required for the production of HSPs in plants (Gong et al.,
1997), the later study proved that heat stress not only induces uptake of Ca2+
, but also induces
calmodulin (CaM) related genes. Since CaM can be active through binding Ca2+
, it can then
induce a cascade of regulatory events and regulation of many HSP genes (Liu et al., 2003). The
involvement of Ca2+ in the regulation of plant responses to various environmental stresses has also
been proven by several studies. Environmental injury could be alleviated during environmental
stresses through the increase of cytosolic Ca2+ content. However, according to Wang and Li (1999),
too much Ca2+ released or sustained high cytosolic Ca
2+ concentration might also be toxic to living
cells.
There are many potential signaling molecules including SA, ABA, CaCl2, H2O2, and ACC
that may have direct or indirect function in plant heat resistance. These molecules may alleviate
high temperature injury by reducing oxidative damage (Larkindale and Huang, 2004). A few
years ago, researchers showed more interest in the function of H2O2 and NO in plant cell
signaling under stressful situations (Dat et al., 2000). Another report suggested that MAPK
cascade is activated by H2O2. Also according to Liusia et al. Methyl-SA is involved in the
20
major signaling pathway in certain gene’s activation under heat stress (Llusia et al., 2005). As a
conclusion, Wahid et al. (2007) suggested that although numerous molecules including ROS,
hormones and ethylene have been identified for the perception of heat stress cues, Ca2+
seems to
play a special role in adaptive steps in coping with heat stress including sensing of high
temperature and induction of signaling cascades.
Accumulation of compatible osmolytes, which include salinity, water deficit and extreme
temperatures, is another necessary adaptive mechanism in many plants grown under abiotic
stresses. The accumulation of certain organic compounds of low molecular mass, is generally
referred to as compatible osmolytes (Hare et al., 1998; Sakamoto and Murata, 2002). When
environmental stress occurs, different plant species may accumulate different types of osmolytes
such as sugars and sugar alcohols (polyols), proline, tertiary and quaternary ammonium
compounds, and tertiary sulphonium compounds (Sairam and Tyagi, 2004). Accumulation of such
solutes may allow plants to cope with dehydration.
Study of HSPs in Different Cotton Genotypes
Heat shock proteins (HSPs) play a crucial role in thermotolerance mechanisms under high
temperature. Because of the existence of HSPs, plants can tolerate and survive under heat stress.
HSPs directly and indirectly improve many physiological phenomena including photosynthesis,
carbon assimilation and partitioning, water and nutrient use efficiency, and membrane stability
(Camejo et al., 2005; Ahn and Zimmerman, 2006; Momcilovic and Ristic, 2007). These
21
improvements allow and make it possible for plants to grow and develop under heat stress.
However, due to the difference between species, the heat tolerance ability varies. The tolerance
also varies between genotypes within a species. There exists tremendous variation within and
between species, making it possible for breeders to improve crop’s heat-stress tolerance through
genetic means. Some conventional plant breeding protocols have been successfully developed,
which aim at improving heat-tolerance of cotton (Ehlers and Hall, 1998; Camejo et al., 2005).
Molecular breeding and genetic engineering have become novel additional tools, which could be
applied in plant breeding to develop heat tolerant genotypes.
Up to now, only a few studies have been done on thermotolerance mechanisms in cotton.
Research at molecular level needs to be done to reveal the thermotolerance mechanisms in cotton.
Only a few genes have been identified that enhance drought and heat tolerance in upland cotton.
According to Maqbool et al. (2009), GHSP26 is a Gossypium arboreum alpha-crystalline heat
shock protein gene that enhances drought tolerance. In their research, real-time quantitative PCR
(qPCR) analysis was used to detect the expression level of GHSP26 in transgenic cottons under
stressed conditions. Results showed that GHSP26 overexpressed in transgenic upland cotton
plants under drought stress. Another research suggested that the ectopic expression of the SAP5
(AT3G12630) gene improved drought and heat tolerance in transgenic cotton
(Gossypium hirsutum) (Hozain et al., 2012). SAP5 gene is a member of the stress-associated
family of genes that encode proteins containing A20/AN1 zinc finger domains. Their research
22
suggested that through up-regulating the expression of endogenous stress-responsive genes, the
expression of SAP5 protected photosystem (PSII) complexes from photodamage after drought
stress. In addition, transgenic plants which contain SAP5 were significantly more heat tolerant
than wild-type plants (Hozain et al., 2012). There are still many genes related to heat tolerance yet
to be identified in cotton.
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homeostasis and antioxidant systems in young grape plants. Plant Sci. 170: 685–694.
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Plant Cell Environ. 27: 717–724.
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gene expression by LOS6/ABA1 locus in Arabidopsis. J. Biol. Chem. 277: 8588–8596.
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33
CHAPTER 1
Comparison of The Physiological Responses to Heat Stress Between the Selected Heat
Tolerant and Heat Susceptible Genotypes of Cotton
Jin Zhang
Department of Crop, Soil, and Environmental Sciences, University of Arkansas, 115 Plant Science
building, University of Arkansas, Fayetteville, AR, 72701, USA
34
Abstract
Heat stress causes major losses to cotton seed and lint yield. Introduction of heat stress
tolerance to Arkansas cotton varieties is highly desirable. Heat stress can negatively influence
plant photosynthesis. Chlorophyll fluorescence is a physiological parameter that has been shown
to correlate with photochemical efficiency. The increased solute leakage has also been used as an
indirect measurement of heat-stress in cotton. Heat stress would decrease photochemical
efficiency and membranes integrety of cotton leaves with genotypic variation. Four Gossypium
hirsutum cultivars (VH260, MNH456, ST213, and ST4288) were grown in a growth chamber
and exposed to optimal (32/24℃) and high day/night temperature (38/24℃) conditions during
both seedling development and flowering were analyzed for chlorophyll fluorescence and solute
leakage in the leaves. No significant differences of chlorophyll fluorescence were observed in
both seedling leaves and fully expanded leaves between heat-treated plants and control plants in
the four cultivars. An increase of solute leakage was observed in heat sensitive cultivars, but only
a slight increase occurred in heat tolerant cultivars after one week of heat treatment in both
seedling and flowering plants. This work suggests that cotton cultivars, VH260 and MNH456 are
more tolerant to heat stress than ST213 and ST4288.
35
Introduction
Research has shown that high temperature curtails photosynthesis by modifying the
thylakoids structure (Karim et al., 1997). Studies have also revealed that specific effects of high
temperatures on photosynthetic membranes result in the loss of grana stacking or its swelling
(Wahid et al., 2007). Since constraints in photosynthesis can limit plant growth, high temperatures
negatively affect plant development. Researchers have suggested that the core sites that can be
injured by high temperatures are photochemical reactions in thylakoid lamellae and carbon
metabolism in the stroma (Wise et al., 2004). Alterations in various photosynthetic attributes are
good indicators of heat stress as they correlate with plant growth. Chlorophyll fluorescence, the
ratio of variable fluorescence to maximum fluorescence (Fv /Fm), and the base fluorescence (F0)
are physiological parameters has been used to correlate with photochemical efficiency and heat
stress (Yamada et al., 1996).
Cellular membranes are also sensitive to high temperature. Heat stress can alter the tertiary
and quaternary structures of membrane proteins, which enhance the permeability of membranes.
This was shown by the increased loss of electrolytes which has been used as an indirect measure
of heat-stress tolerance in cotton for a long time (Ashraf et al., 1994). Many factors can influence
electrolyte leakage including tissue age, organ, developmental stage, growing season, and degree
of hardening. Reports for maize suggest that heat stress can cause much less severe injuries to
plasmalemma in developing maize leaves than in mature leaves (Karim et al., 1997, 1999).
36
The objective of this study is to measure the effect of long-term (1 week) heat stress on
photosynthesis and membrane leakage of both seedling leaves and fully expanded leaves on the
day of anthesis to confirm the genotypic differences. We hypothesized that G. hirsutum cultivars
VH260 & MNH456 reported to have greater reproductive thermotolerance than conventional
cultivars would also have higher photosynthetic rates and lower biological membranes damage in
fully expanded leaves and seedling leaves.
Materials and Methods
Plant materials and temperature treatment
Two experiments were conducted to evaluate the effect of heat stress on both seedling and
flowering stages in Gossypium hirsutum. Experiments were started in July 2012. A total of four
genotypes were used in this research. Two heat tolerant cultivars VH260 and MNH456 and two
heat susceptible lines, ST213 and ST4288. Seeds were planted in two-liter pots containing
Sunshine Mix and placed in two growth chambers (E15 in Rosen Center, University of Arkansas,
and M3 chamber in Arkansas Agricultural Research and Extension Center, Fayetteville AR).
Day/night of 32/24℃ temperatures regimes and 14/10hr day/night photoperiod at a 500 μmol
m-2
s-1
photosynthetically active radiation (PAR) regimes were applied. Plants were irrigated with
deionized (DI) water until four days after germination, after that, quarter-strength Hoagland’s
solution was applied daily.
37
Two weeks after planting, half of the seedlings in the M3 chamber were randomly
transferred to another growth chamber with day/night temperature regime of 38/24℃ for one week
of heat treatment. For the flowering group plants, at approximately flowering time (six weeks after
germination), half of the plants in the E15 chamber were randomly transferred to another growth
chamber with day/night temperature regime of 38/24℃ for one week of heat treatment.
Chlorophyll fluorescence
Photochemical efficiency of photosynthesis II was estimated by obtaining fluorescence
transients from fully-expanded leaves in flowering cotton and from the first two true leaves in
seedling cotton in all four cultivars grown under optimal (32/24℃) or high (38/24℃)
temperatures with a portable fluorometer (Model OS1-FL, Opti-Sciences, Hudson, NH).
Measurements were taken between 12:00 to 1:00 pm in the growth chamber to keep the
temperature and light constant. The same position leaf was evaluated on each plant. For seedling
cotton, the second true leaves were selected, and for flowering cotton, the upper-most
fully-expanded main-stem leaves were measured. Three points (avoiding leaf veins) were
measured on each leaf. ETR (electron transport rate) and Actual Quantum Yield data were
recorded and converted to Micro-soft excel file.
Membrane leakage
The same leaves used for chlorophyll fluorescence were measured for membrane leakage.
38
Three leaf discs, avoiding leaf veins, were cut out with a cork borer and placed into a petri dish
filled with deionized water. Equal amounts (10ml) deionized H2O was added into each vial. Plastic
wrap was used to keep contaminants from getting into them. Samples were kept in the dark for 48h
and then measurements were taken with a single probe conductivity meter. The conductivity meter
was calibrated according to the manufacturer’s instructions and measurements were taken. After
measuring conductivity, samples were boiled in hot water (95℃) for 10 minutes and the
conductivity were measured again to calculate the relative injury.
Statistical analysis
The physiological parameters of these four cultivars grown under high and normal day/night
temperature regimes were compared (from different plants) using Student’s t -test (α = 0.05).
Statistical analysis was performed using JMP IN 7.0 software (SAS Institute, Cary, NC). Pictures
were performed using SIGMA PLOT 12.
Results and Discussion
Four G. hirsutum cultivars were used in this study. Among these, two cultivars, MNH456 and
VH260 maintain higher boll retention at 45℃ (personal communication, Dr. Saghir Ahmad, Vehari
Cotton Research Station in Vehari, Pakistan). It is reported that cultivar VH260 exhibited greater
photosynthetic thermotolerance than a conventional cultivar (G. hirsutum cv. ST4554 B2RF) due
to elevated pre-stress antioxidant enzyme activity of the subtending leaf (Snider et al., 2010), and
significantly higher fertilization efficiencies at 38℃ following long-term exposure to high-ambient
39
temperature conditions (Kurek et al., 2007, Snider et al., 2009). The two heat susceptible cultivars
used were ST213 and ST4288. ST213 is an obsolete cultivar that originated in Mississippi River
Delta (seed obtained from Dr. James Frelichowski), and ST4288 is a modern cultivar commonly
used in Mississippi River Delta (seed obtained from Dr. Oosterhuis).
Previous studies have shown that increased leaf temperatures correlated with decline in
maximum quantum yield (Fv/Fm). The cause of fluorescence decline during heat stress has been
related to malfunctioning of primary photochemical reactions, primarily involving inhibition of
PSII, located in the thylakoid membrane system (Berry and Bjorkman, 1980). In the present
study, actual quantum yield was measured in the leaves of both seedlings and flowering plants
after exposing to 38℃ day temperature for one week. No significant two-way interaction
between cultivars and growth temperature for actual quantum yield was observed in seedling
leaves (Fig. 1), and in the upper-most fully-expanded leaves for flowering plants (Fig. 2). The
average actual quantum yields in each line are all between 0.65-0.72 in seedlings (Fig. 1), and
between 0.7-0.79 in flowering plants (Fig. 2). According to Snider et al. (2009), quantum yield
was unaffected by high temperature in VH260. Combined with other parameters, they suggested
that VH260 has higher photosynthetic rates and photochemical efficiencies compared with a less
thermotolerant cultivar ST4554. Their results as similar to the result in this study that quantum
yield was unaffected by high temperature in both heat tolerant cultivars VH260 and MNH456.
However, the quantum yields in both heat susceptible cultivars ST213 and ST4288 were also
40
unaffected by high temperature, which contradicts the result of Snider et al (2009). In their
research, a slight decline (4.5% decline) of maximum quantum yield was observed in ST4554
under heat stress. Many studies have reported that PSII is relatively insensitive to leaf temperature
below 40℃ (Haldimann and Feller, 2004, 2005). This may be an explanation of why quantum
yield was unaffected in the four cultivars upon one week of heat treatment at 38℃ day
temperature. Also, with the limited growth chamber space, only five biological replicates in each
cultivar could be measured. This led to a small sample size and large SD values, which limited the
accuracy of the result.
The integrity of plasma membrane was analyzed by measuring electrolyte leakage, which
is a direct indicator of membrane injury. Relative injury to plasma membrane was calculated
for the four genotypes after exposure to heat stress. The electrolyte leakage was measured in the
leaves of both seedlings and flowering plants after exposing to 38℃ day temperature for one
week. There were genotypic differences in relative injury to the plasma membranes as indicated
by electrolyte leakage. High day temperature resulted in a significant increase in the relative
injury in all cultivars except VH260 (Fig. 3). The relative injury of membrane in seedling leaves
of VH260 was not significantly affected by high day temperature treatments (Fig. 3). The
electrolyte leakage of upper-most fully-expanded leaves in VH260 and MNH456 was not
affected by elevated temperature, whereas the average relative injury of membranes were
significantly higher in ST213 and ST4288 in both heat treated and untreated samples (Fig.4).
41
Further, significant increase of electrolyte leakage was observed in both ST213 and ST4288 after
one week of heat treatment under 38/24℃ day/night temperature regime (Fig. 4).
The results presented in Fig. 3 and 4 confirm that the heat tolerance cultivars VH260 and
MNH456 do not have changes in the membrane leakage between high and normal temperature.
According to Snider et al. (2010), VH260 expressed a greater photosynthetic thermotolerance
than a conventional cultivar ST4554. Cultivars MNH456 & VH260 were also confirmed by Dr.
Saghir Ahmad to maintain higher boll retention at 45℃ in Vehari, Pakistan (Personal
communication). The slight increase of electrolyte leakage in seedling leaves of MNH456 and
unaffected solute leakage in fully-expanded leaves during flowering of VH260 and MNH456
under heat stress is consistent with the two previous studies, which confirmed these two cultivars
as heat tolerant during high temperature. As commercial cultivars in the U.S.A, ST4288 are more
sensitive to heat stress. Previous study showed that ST213, an obsolete cultivar, expressed a lower
solute leakage and higher photochemical efficiency compared to modern cultivars under 38℃ for
one week (Brown and Oosterhuis, 2005). The significant increase of solute leakage in both
seedling leaves and fully-expanded leaves during flowering of ST213 and ST4288 under heat
stress is also consistent with the previous study, which confirmed these two cultivars as sensitive
to heat stress.
Acknowledgements
The author thanks University of Arkansas, Crop, Soil, & Environmental Science department
42
for assistantship funding of this research. Additionally, thanks M. Toby and D. Loka for their
assistance in the laboratory and D.M. Oosterhuis and S. Ahmad for providing kindly advice and the
G. hirsutum seeds used in this study.
References
Ashraf, M., Saeed, M.M., and Qureshi, M.J., 1994. Tolerance to high temperature in cotton
(Gossypium hirsutum L.) at initial growth stages. Environ. Exp. Bot. 34: 275–283.
Berry, J., Bjorkman. O., 1980. Photosynthetic response and adaptation to temperature in higher
plants. Annu Rev Plant Physiol. 31: 491–543
Brown, R.S., and Oosterhuis, D.M., 2005. High daytime temperature stress effects on the
physiology of modern versus obsolete cotton cultivars. AAES Research Series 533: 64
Haldimann, P., and Feller, U., 2004. Inhibition of photosynthesis by high temperature in oak
(Quercus pubescens L.) leaves grown undder natural conditions closely correlates with a
reversible heat-dependent reduction of the activation state of ribulose-1,5-bisphosphate
carboxylase/oxygenase. Plant Cell Environ. 27: 1169-1183
Haldimann, P., and Feller, U., 2005. Growth at moderately elevated temperature alters the
physiological response of the photosynthetic apparatus to heat stress in pea (Pisum sativum L.)
Plant Cell Environ. 27: 1169-1183
Karim, M.A., Fracheboud, Y., and Stamp, P., 1997. Heat tolerance of maize with reference of
some physiological characteristics. Ann. Bangladesh Agri. 7: 27–33.
Karim, M.A., Fracheboud, Y., and Stamp, P., 1999. Photosynthetic activity of devel- oping leavea
mays is less affected by heat stress than that of developed leaves. Physiol. Plant. 105: 685–
693.
Kurek, I., Chang, T.K., Bertain, S.M., Madrigal, A., Liu, L., Lassner, M.W., and Zhu, G., 2007.
Enhanced thermostability of Arabidopsis rubisco activase improves photosynthesis and
growth rates under moderate heat stress. Plant Cell. 19: 3230-3241.
43
Snider, J.L., Oosterhuis, D.M., and Kawakami, E.M., 2010. Genotypic differences in
thermotolerance are dependent upon pre-stress capacity for antioxidant protection of the
photosynthetic apparatus in Gossypium hirsutum. Physiol. Plant. 138: 268-277.
Snider, J.L., Oosterhuis, D.M., Skulman, B.W., and Kawakami, E.M., 2009. Heat stress-induced
limitations to reproductive success in Gossypium hirsutum. Physiol. Plant. 137: 125-138.
Wahid, A., Gelani, S., Ashraf, M., and Foolad, M.R., 2007. Heat tolerance in plants: An overview.
Environmental and Experimental Botany. 61: 199–223.
Wise, R.R., Olson, A.J., Schrader, S.M., and Sharkey, T.D., 2004. Electron transport is the
functional limitation of photosynthesis in field-grown Pima cotton plants at high temperature.
Plant Cell Environ. 27: 717–724.
Yamada, M., Hidaka, T., and Fukamachi, H., 1996. Heat tolerance in leaves of trop- ical fruit
crops as measured by chlorophyll fluorescence. Sci. Hortic. 67: 39–48.
44
Figure Legends
Fig. 1. Actual Quantum Yield of thermotolerant (VH260 & MNH456) and thermosensitive
(ST213 & ST43288) G. hirsutum of seedling first two true leaves exposed to optimal (32/24℃;
black vertical bar) and high (38/24℃; gray vertical bar) day temperatures. All values are means
± standard error (n=5). Error bars represent the SD for all experiments. Values not sharing a
common letter are significantly different (LSD; P < 0.1)
Fig. 2. Actual Quantum Yield of thermotolerant (VH260 & MNH456) and thermosensitive
(ST213 & ST43288) G. hirsutum of flowering fully expanded leaves exposed to optimal
(32/24℃; gray vertical bar) and high (38/24℃; black vertical bar) day temperatures. All values
are means ± standard error (n=5). Error bars represent the SD for all experiments. Values not
sharing a common letter are significantly different (LSD; P < 0.1)
Fig. 3. Relative membrane injury of thermotolerant (VH260 & MNH456) and
thermosensitive (ST213 & ST43288) G. hirsutum of seedling first two true leaves exposed to
optimal (32/24℃; black vertical bar) and high (38/24℃; gray vertical bar) day temperatures. All
values are means ± standard error (n=5). Error bars represent the SD for all experiments. Values
not sharing a common letter are significantly different (LSD; P < 0.1)
Fig. 4. Relative membrane injury of thermotolerant (VH260 & MNH456) and
thermosensitive (ST213 & ST43288) G. hirsutum of flowering fully expanded leaves exposed to
optimal (32/24℃; black vertical bar) and high (38/24℃; gray vertical bar) day temperatures. All
values are means ± standard error (n=5). Error bars represent the SD for all experiments. Values
45
not sharing a common letter are significantly different (LSD; P < 0.1)
46
Figure. 1 Actual quantum yield of seedling cotton samples
Figure. 2 Actual quantum yield of flowering cotton samples
47
Figure. 3 Relative membrane injury of seedling cotton samples
Figure. 4 Relative membrane injury of flowering cotton samples
48
CHAPTER 2
Identification of Cotton Orthologs of Arabidopsis Heat Tolerance Genes
Jin Zhang
Department of Crop, Soil, and Environmental Sciences, University of Arkansas, 115 Plant Science
building, University of Arkansas, Fayetteville, AR, 72701, USA
49
Abstract
The molecular basis of heat stress tolerance in cotton is not well studied, while many genes
associated with heat stress have been identified in Arabidopsis. The cotton orthologs of these
Arabidopsis genes are expected to have the same function i.e. to confer heat tolerance in cotton. In
this study, first the literature was searched to find heat tolerance genes mainly in Arabidopsis,
then homology between Arabidopsis genes and cotton ESTs (Expressed sequence Tags) were
analyzed to identify putative orthologs. As a result, six Arabidopsis genes and one G. barbadense
gene, were selected. These genes include heat shock protein genes, heat shock transcription factors,
drought tolerance gene, and two general stress protein genes. With the hypothesis that cotton
orthologs of these genes are involved in heat tolerance in cotton, primers were designed to carry
out for Real-time quantitative PCR (qRT-PCR) analysis.
50
Introduction
It is widely accepted that HSPs function as molecular chaperones to prevent aggregation
and denaturing of cell proteins in response to high temperature, and then to promote the
appropriate refolding of denatured proteins (Frydman, 2001). Previous studies have identified
some HSPs in different plant species. For instance, HSP101, which was identified in maize, is a
nucleus-localized protein. As a member of campylobacter invasion antigen B (CiaB) protein
sub-family, HSP101, which can promote the recovery of aggregated protein, is essential for the
induction of thermotolerance. When maize was expose to high temperature, levels of HSP101
increased, correspondingly. However the expression pattern of HSP101 varies in different organs
(Young et al., 2001).
HSP70 is another well studied heat tolerance gene. It is proposed to have a variety of
functions such as protein translation and translocation, proteolysis, protein folding or chaperoning,
suppressing aggregation, and reactivating denatured proteins (Zhang et al., 2005). Research
showed that those mutants which were unable to synthesize HSPs or the cells in which HSP70
synthesis is blocked or inactivated are more sensitive to heat stress (Burke, 2001).
Low Molecular Weight (LMW) HSPs may also play structural roles in maintaining cell
membrane integrity. For example, HSP22, which belongs to the plant small HSP super-family, is
highly expressed under continuous heat stress (Lund et al., 1998). Their function as protecting PSII,
especially in photosynthetic electron transport, from adverse effects of heat stress was also
51
confirmed by localization of LMW-HSPs in chloroplast membranes (Barua et al., 2003).
ABA also has function in modification of gene expression in response to environmental
stress. Analysis has been done on ABA-responsive promoters, which include several potential
cis- and trans-acting regulatory elements (Swamy and Smith, 1999). ABA can mediate up- or
down-regulation of numerous genes to help plants acclimate/adapt to dry environment (Xiong et
al., 2002). Other researchers claim that several HSPs (e.g. HSP70) are also induced by ABA,
which may be a part of thermotolerance mechanism (Pareek et al., 1998). What’s more, heat
shock transcription factor 3 (HSF3), functions synergistically with chimeric genes with a small
HSP promoter, is ABA inducible (Rojas et al., 1999).
The involvement of Ca2+ in the regulation of plant responses to various environmental
stresses has also been proven by several studies. Environmental injury could be alleviated during
environmental stresses through the increase of cytosolic Ca2+ content. However, according to
Wang and Li (1999), too much Ca2+ (released or sustained high cytosolic Ca
2+) concentration
might also be toxic to living cells. Annexin gene family, which generates calcium-binding
proteins, plays an important role in transporting calcium signals into adaptive responses.
ANNAT8, a member of annexin gene family, showed a positive response for salt stress in
Arabidopsis, which suggests the importance of annexin genes during salt stress (Cantero et al.,
2006).
52
Up to now, many investigations have been done on cotton to overcome heat stress problems.
Several cultivars of cotton that are heat tolerant or susceptible to heat have been identified.
However, only a few studies have been done on thermotolerance mechanisms in cotton. Research
at molecular level needs to be done to reveal the thermotolerance mechanisms in cotton. Only a
few genes have been identified that enhance drought and heat tolerance in upland cotton.
According to Maqbool et al. (2009), GHSP26 is a Gossypium arboreum alpha-crystalline heat
shock protein gene that enhances drought and heat tolerance. In their research, real-time
quantitative PCR (qPCR) analysis was used to detect the expression level of GHSP26 in
transgenic cottons under stressed conditions. Results showed that GHSP26 was overexpressed in
transgenic upland cotton plants under drought stress. Research also suggested that the ectopic
expression of the SAP5 (AT3G12630) gene improved drought and heat tolerance in transgenic
cotton (Gossypium hirsutum) (Hozain et al., 2012). SAP5 gene is a member of the
stress-associated family of genes that encode proteins containing A20/AN1 zinc finger domains.
Their research suggested that through up-regulating the expression of endogenous
stress-responsive genes, the expression of SAP5 protected photosystem (PS) II complexes from
photodamage after drought stress. In addition, transgenic plants, which contain SAP5, were
significantly more heat tolerance than wild-type plants (Hozain et.al., 2012). There are still many
genes related to heat tolerance yet to be identified in cotton.
Since Arabidopsis has been used as a model plant in many molecular and genetic studies for
identifying genes associated with heat tolerance, we hypothesized that cotton orthologs of
53
Arabidopsis genes will have the same function i.e. conferring heat tolerance in cotton. This study
is designed to understand the thermotolerance mechanism and metabolic pathway involved in heat
stress in cotton through measuring the expression level of Genes which are orthologue to
Arabidopsis heat tolerant genes. The objective of this chapter is to identify cotton orthologs of
Arabidopsis heat tolerance genes.
Materials and Methods
Searching and Selection of Heat Tolerant Genes
Literature related to plant heat tolerance genes were searched and reviewed. National
Center for Biotechnology Information (NCBI) database and The Arabidopsis Information
Resource (TAIR) were mainly used as the literature sources. Genes, mainly Arabidopsis and
cotton genes, that have been confirmed to enhance heat and drought tolerance were selected and
listed for further identification. The selected genes were first checked through Arabidopsis e-FP
Browser (e-FP), to see the gene expression pattern, including expression time, expression organ,
and gene expression quantity. Those highly expressed genes in seedling and open flowers were
sought out for further examination.
Identification of Cotton Orthologs
All the heat tolerant genes that were highly expressed in seedlings and open flowers were
then selected to look for similarities with cotton gene sequence by using NCBI and Cotton
54
Genome Database (Cotton DB) using Basic Local Alignment Search Tool (BLAST). The
corresponding protein sequences of heat tolerance genes were used to align with cotton Express
Sequence Tag (EST), since cotton genome sequencing is still not finished. E-value and identity
were main parameters that were considered when screening the selected heat tolerance genes.
Usually the genes, which have E-values lower than E-70 and Identity higher than 60%, were
considered to be good candidates. The cotton sequence coverage of selected genes was also
considered as a supplement parameter. After alignment, the related cotton ESTs sequence were
used to make alignment with corresponding genes nucleotide sequences to find the highly
conserved region. Short gene sequence (<500 bp) was not considered since it may be hard to
design primers.
Design of primers
Highly conserved sequence regions of each gene were selected for designing primer. The
primers used in qPCR for each gene were designed by using Primer 3
(http://frodo.wi.mit.edu/primer3/), and processed in Net Primer
(http://www.premierbiosoft.com/netprimer/index.html) in order to evaluate either self- and
cross-dimerization.
Result
In total, 7 heat tolerance genes in Arabidopsis and cotton were selected as listed below.
55
Form. 1
Category Genes Function Identity Reference
Heat stress
transcription
factors
HSFA2 Heat/drought tolerance 57% Nishizawa et al. (2006)
HSFA1b Heat response 81% Yoshida et al. (2011)
Heat shock
proteins
GHSP26 Heat/drought tolerance 82% Maqbool et al. (2009)
HSP101 Thermotolerance
90%
Hong and Vierling (2000,
2001)
HSC70-1 Heat stress response 93% Li et al. (2011)
Antioxidant
enzyme gene APX1 Ascorbate peroxidase 76% Shi et al. (2001)
Calcium
signaling ANNAT8
Induction of abiotic stress
tolerance pathway 61% Cantero et al. (2006)
Reference
gene GhPP2A1 Housekeeping 100% Artico et al. (2010)
Primers are listed below:
From. 2
Gene Primer Tm GC
content
Primer
Length
Sequence
length
HSFA2
FP: GAAGGAAGGGCTTAACGAGG
RP: GCTGACGAATGAAACTGGAGA
60.5C
60.1C
55%
45%
20bp
22bp
202bp
HSP101
FP: GGAAGTGGAATCTGCGATAGC
RP: GATTTTGTCCCACCACTCTTTG
61.2C
60.1C
52%
45%
21bp
22bp
200bp
GHSP26
FP: TCCTTTTGGTTTGTTGGACCC
RP: ACCTTCACATCCTCTTTCGTCA
59.5C
60.1C
48%
45%
21bp
22bp
213bp
HSP3 FP: AGAAAAGTTGACCCTGACCGC
RP:AACCTCCTCTTCGAGACCAAAC
61.2C
62.1C
52%
50%
21bp
22bp
186bp
APX1 FP: GGCACTCAGCTGGAACTTTTG
RP: AGCGTAGGTGAGGTTAGGGAA
61.2C 52% 21bp 163bp
56
HSC70-1 FP:TTGTTACCGTCCCTGCATACTT
RP: GACATCAAAAGTACCGCCACC
60.1C
61.2C
45%
52%
22bp
21bp
200bp
ANNAT8 FP:CAGGATCTTGAGTACAAGGAGCA
RP: GTAAGTGCATCCTCATCGGTTC
60.8C
60.9C
48%
50%
23bp
22bp
225bp
GhPP2A1
FP: GATCCTTGTGGAGGAGTGGA
RP: GCGAAACAGTTCGACGAGAT
60.5C
58.4C
55%
50%
20bp
20bp
100bp
Heat stress transcription factor HSFA2, which was reported by Nishizawa et al. (2006),
enhances heat and drought tolerance in Arabidopsis. This research suggests that the expression of
HsfA2 in Arabidopsis is strictly heat stress-dependent and this transcription factor represents a
regulator of a subset of stress response genes in Arabidopsis. They also found that HsfA2
expression is strongly heat stress-induced and it is a relatively stable protein that accumulates
like HSPs (Nishizawa et al., 2006). E-FP result showed that HSFA2 is highly expressed in
Arabidopsis flower organ after 1 hour heat treatment at 37℃. The protein BLAST result showed
that HSFA2 protein heat stress transcription factor A-2 (NP_180184.1) has 57% identity and
E-value of 4e-100 aligned with Gossypium hirsutum cDNA DT545429.
Another heat stress transcription factor HSFA1b, which is also called HSF3, was
confirmed by Yoshida et al. (2011) that functions as the main positive regulators in heat
shock-responsive gene expression. E-FP results showed this gene is expressed in Arabidopsis dry
seed and seedlings after 1 hour heat treatment at 37℃. The protein BLAST result showed that
HSFA1b corresponding protein heat shock factor 3 (NP_850832.1) has 81% identity and E-value
of 3e-91 with Gossypium hirsutum cDNA DT559215.1.
GHSP26 is a Gossypium arboreum alpha-crystalline heat shock protein gene that enhances
57
drought tolerance (Maqbool et al., 2009). In their research, Real-time quantitative PCR analysis
was used to detect the expression level of GHSP26 in transgenic plants under stress conditions.
Results showed that compared to non-transgenic cotton, a significant overexpression (over
60-fold increase) of GHSP26 in transgenic cotton plants was observed under drought stress.
Searching from NCBI database we know that GHSP26 is expressed in cotton seedlings. The
nucleotide BLAST result showed that GHSP26 has 82% identity and E-value of 2e-72 with
Gossypium hirsutum DNA DN779846.1.
HSP101 has been proven to enhance heat tolerance by Hong and Vierling, (2000, 2001)
Loss-of-function mutants of Hsp101 in A. thaliana is unable to acquire thermotolerance. E-FP
result showed this gene is highly expressed in Arabidopsis dry seed and flower organ after 1 hour
heat treatment at 37℃. The protein BLAST result showed that HSP101 corresponding protein
heat shock protein 101 (NP_565083.1) has 90% identity and E-value of 5e-170 with Gossypium
hirsutum cDNA DT564565.1.
HSC70-1 responses to heat stress in transgenic tomato (Li et al., 2011). In this research
compared to non-transgenic seeds, transgenic tomato seeds which express Arabidopsis HSC70-1,
have higher germination rate, seedling height, and seedling fresh weight under heat stress. Also,
in Arabidopsis, plastid stromal cpHSC70-1 is confirmed to play an important role in the
thermotolerance of germinating seeds (Su and Li 2008). E-FP results showed HSC70-1 is a
common gene in Arabidopsis that is expressed all the time in every organ examined. During heat
58
treatment at 37℃, the gene expression level increases. The protein BLAST result showed that
HSC70-1 corresponding protein heat shock 70kDa protein 1/8 (NP_195870.1) has 93% identity
and E-value of zero with Gossypium hirsutum cDNA FJ415195.1.
APX1 and ANNAT8 are general stress genes that respond to many abiotic stresses. The
Barley HvAPX1 gene was introduced into A. thaliana, and the transgenic plants were
significantly more tolerant to heat stress as compared to the wild-type (Shi et al., 2001). E-FP
results showed this is a common gene in Arabidopsis that is expressed all the time in each organ
examined. During heat treatment at 37℃, the gene expression level increases. The protein
BLAST result showed that APX1 corresponding protein glyoxysomal ascorbate peroxidase
(EU244478.1) has 76% identity and E-value of 1e-128 aligned with Gossypium hirsutum cDNA
EF432582.1. Annexin 8 (ANNAT8), which functions in calcium-dependent phospholipid binding
and calcium ion binding, is responsive to many environmental stresses including water
deprivation, salt stress, cold, and heat stress (Cantero et al., 2006). E-FP result showed that
ANNAT8 is a common gene in Arabidopsis that is expressed all the time at every organ
examined. During heat treatment at 37℃, the gene expression level increases. The protein
BLAST result showed that ANNAT8 corresponding protein Annexin 8 (NM_121276.2) has 61%
identity and E-value of 4e-141 with Gossypium hirsutum cDNA ES813534.1.
Reference gene Ghpp2a1 DT545658 (Catalytic subunit of protein phosphatase 2A), which
is a cotton housekeeping gene and maintains stable and high expression level during all the
59
development stages in cotton all organs (Artico et al., 2010), was used for RNA expression
analysis.
References
Artico, S., Nardeli, S.M., Brilhante, O., Grossi-de-Sa, M.F., and Ferreira, M.A., 2010.
Identification and evaluation of new reference genes in Gossypium hirsutum for accurate
normalization of real-time quantitative RT-PCR data. BMC Plant Biology. 10: 49.
Barua, D., Downs, C.A., and Heckathorn, S.A., 2003. Variation in chloroplast small heat-shock
protein function is a major determinant of variation in thermotol- erance of photosynthetic
electron transport among ecotypes of Chenopodium album. Funct. Plant Biol. 30: 1071–1079.
Burke, J.J., 2001. Identification of genetic diversity and mutations in higher plant acquired
thermotolerance. Physiol. Plant. 112: 167–170.
Cantero, A., Barthakur, S., Bushart, T.J., Chou, S., Morgan, R.O., Fernandez, M.P., Clark, G.B.,
and Roux, S.J., 2006. Expression profiling of the Arabidopsis annexin gene family during
germination, de-etiolation and abiotic stress. Plant Physiology and Biochemistry. 44: 13–24.
Frydman, J., 2001. Folding of newly translated proteins in vivo: the role of molecular chaperones.
Annu Rev Biochem. 70: 603–47.
Hong, S.W. and Vierling, E. (2000) Mutants of Arabidopsis thaliana defective in the acquisition
of tolerance to high temperature stress. Proc. Natl Acad. Sci. USA, 97: 4392–4397.
Hong, S.W., and Vierling, E., 2001. Hsp101 is necessary for heat tolerance but dispensable for
development and germination in the absence of stress. Plant J. 27: 25–35.
Hozain, M., Abdelmageed, H., Lee, J., Kang, M., Fokar, M., Allen, R.D., and Holaday, A.S.,
2012. Expression of AtSAP5 in cotton up-regulates putative stress-responsive genes and
improves the tolerance to rapidly developing water deficit and moderate heat stress. J Plant
Physiol. Sep 1. 169(13): 1261-70.
Lund, A.A., Blum, P.H., Bhattramakki, D., and Elthon, T.E., 1998. Heat-stress response of maize
mitochondria. Int. J. Plant Sci. 159: 39–45.
60
Maqbool, A., Abbas, W., Rao, A.Q., Irfan, M., Zahur, M., Bakhsh, A., Riazuddin, S., and
Husnain, T., 2009. Gossypium arboreum GHSP26 enhances drought tolerance in Gossypium
hirsutum. Biotechnol Prog. Jan. 26(1): 21-5.
Nishizawa, A., Yabuta, Y., Yoshida, E., Maruta, T., Yoshimura, K., and Shigeoka, S., 2006.
Arabidopsis heat shock transcription factor A2 as a key regulator in response to several types
of environmental stress. Plant J. 48: 535–547.
Pareek, A., Singla, S.L., and Grover, A., 1998. Proteins alterations associated with salinity,
desiccation, high and low temperature stresses and abscisic acid application in seedlings of
Pusa 169, a high-yielding rice (Oryza sativa L.) cultivar. Curr. Sci. 75: 1023–1035.
Rojas, A., Almoguera, C., and Jordano, J., 1999. Transcriptional activation of a heat shock gene
promoters in sunflower embryos: synergism between ABI3 and heat shock factors. Plant J. 20:
601–610.
Shi, W. M., Muramoto, Y., Ueda, A., and Takabe, T., 2001. Cloning of peroxisomal ascorbate
peroxidase gene from barley and enhanced thermotolerance by overexpressing in Arabidopsis
thaliana. Gene. 273: 23–27.
Su, P., and Li, H., 2008. Arabidopsis stromal 70-kD heat shock proteins are essential for plant
development and important for thermotolerance of germinating seeds. Plant Physiol. 146:
1231–1241.
Swamy, P.M., and Smith, B.N., 1999. Role of abscisic acid in plant stress tolerance. Curr. Sci. 76:
1220–1227.
Wang, J.B., and Li, R.Q., 1999. Changes of Ca2+ distribution in mesophyll cells of pepper under
heat stress. Acta Hortic. Sin. 26: 57–58.
Wang, W., Vinocur, B., Shoseyov, O., and Altman, A., 2004. Role of plant heat-shock proteins
and molecular chaperones in the abiotic stress response. Trends Plant Sci. 9: 244–252.
Xiong, L., Lee, H., Ishitani, M., Zhu, and J.-K., 2002. Regulation of osmotic stress responsive
gene expression by LOS6/ABA1 locus in Arabidopsis. J. Biol. Chem. 277: 8588–8596.
Yoshida, T., Ohama, N., Nakajima, J., Kidokoro, S., Mizoi, J., Nakashima, K., Maruyama, K.,
Kim, J.M., Seki, M., Todaka, D., Osakabe, Y., Sakuma, Y., SchöZ, F., Shinozaki, K., and
Kazuko, Y.S., 2011. Arabidopsis HsfA1 transcription factors function as the main positive
61
regulators in heat shock-responsive gene expression. Mol. Genet. Genomics. 286: 321–332.
Young, T.E., Ling, J., Geisler-Lee, C.J., Tanguay, R.L., Caldwell, C., and Gallie, D.R., 2001.
Developmental and thermal regulation of maize heat shock protein, HSP101. Plant Physiol.
127: 777–791.
Zhang, J.-H., Huang, W.-D., Liu, Y.-P., Pan, and Q.-H., 2005. Effects of temperature acclimation
pretreatment on the ultrastructure of mesophyll cells in young grape plants (Vitis vinifera L. cv.
Jingxiu) under cross-temperature stresses. J. Integr. Plant Biol. 47: 959–970.
62
CHAPTER 3
Study of the Gene Expression Pattern of Heat-response Genes in the Cotton Cultivars
Exhibiting Heat Tolerance and Susceptibility
Jin Zhang
Department of Crop, Soil, and Environmental Sciences, University of Arkansas, 115 Plant Science
building, University of Arkansas, Fayetteville, AR, 72701, USA
63
Abstract
The present study attempted to identify heat stress tolerance genes in two heat-tolerant
cotton cultivars, VH260 and MNH456, originating from Pakistan. Towards this, the expression
profile of the cotton orthologs of seven Arabidopsis and cotton heat stress tolerance genes were
studied in these two cultivars, and compared with the two heat-susceptible cotton cultivars, ST213
and ST4288, originating from Mississippi River Delta region. The gene expression data indicated
that both heat-tolerant cultivars highly express heat-shock proteins and heat-shock transcription
factors after heat treatment, whereas heat-susceptible cultivars show lower expression. Similarly,
Ascorbate Peroxidase I and Annexin 8, the two general stress proteins are also highly induced in at
least one of the heat tolerant cultivars in response to heat treatment. This work suggests that early
induction of heat shock protein genes and heat shock factor genes plays an important role in
conferring heat stress tolerance on cotton cultivars, VH260 and MNH456.
64
Introduction
Changes in gene expression play a crucial role in thermotolerance. Heat stress can alter gene
expression patterns (Yang et al., 2006), which induces expression of the HSP, while inhibiting
expression of many other genes (Yost and Lindquist, 1986). It is well known that heat shock
proteins (HSPs) play a crucial role in thermotolerance mechanisms under high temperature. HSPs
directly and indirectly improve many physiological phenomena including photosynthesis, carbon
assimilate partitioning, water and nutrient use efficiency, and membrane stability (Camejo et al.,
2005; Ahn and Zimmerman, 2006; Momcilovic and Ristic, 2007). These improvements allow and
make it possible for plants to grow and develop under heat stress. However, heat tolerance varies
between species and genotypes within a species. This variation is important for breeders to improve
crop’s heat-stress tolerance through genetic means. Some conventional plant breeding protocols
have been successfully developed, which aim at improving heat-tolerance of cotton (Ehlers and
Hall, 1998; Camejo et al., 2005). Nowadays, molecular breeding and genetic engineering have
become additional tools, which could be applied in plant breeding to develop heat tolerant
genotypes.
Up to now, many investigations have been done on cotton to overcome heat stress problems.
Several cultivars of cotton that are heat tolerant or susceptible to heat have been identified.
However, only a few studies have been done on thermotolerance mechanisms in cotton. Especially,
research at the molecular level needs to be done to reveal the thermotolerance mechanisms in
65
cotton. Only a few genes have been identified that enhance drought and heat tolerance in upland
cotton. According to Maqbool et al. (2009), overexpression of GHSP26, a small HSP gene in
Gossypium arboretum in response to dehydration, was observed in transgenic upland cotton
plants under drought stress. Research also suggested that through up-regulating the expression of
endogenous stress-responsive genes, the ectopic expression of the AtSAP5 (AT3G12630) gene
improved drought and heat tolerance in transgenic cotton (Gossypium hirsutum) (Hozain et al.,
2012). There are still many genes related to heat tolerance yet to be identified in cotton.
Gene expression analysis is becoming more and more important in biological research.
Understanding patterns of expressed genes is crucial to provide insights into complex regulatory
networks that may lead to the identification of genes relevant to new biological processes
(Vandesompele et al., 2002). Reverse transcription real-time quantitative polymerase chain
reaction (qPCR) is a convenient method to study gene expression changes (Gachon and Charrier,
2004). There are also other experimental techniques used to evaluate gene expression levels,
such as Northern blot hybridization and reverse transcription-polymerase chain reaction
(RT-PCR). Compared to these techniques, qPCR has higher sensitivity, specificity, and broad
quantification range of up to seven orders of magnitude (Hong et al., 2008). Therefore, qPCR
analysis has become the most commonly used method for validating the whole-genome
microarray data or a smaller set of genes and molecular diagnostics (Jain et al., 2006).
Same plant materials mentioned in chapter 1 were used in this study. The study is designed to
66
understand the thermotolerance mechanism and metabolic pathway involved in heat stress in
cotton through measuring the expression level of genes which are orthologues of Arabidopsis heat
tolerance genes. The objective of this study is to prove the selected gene’s relation to heat stress
through measuring the gene expression level in different cultivars.
Materials and Methods:
Plant Materials and Temperature Treatment
Two experiments were conducted to evaluate the effect of heat stress on both seedling and
flowering stages in Gossypium hirsutum. Experiments were started in July 2011. A total of four
genotypes were used in this research which are two heat tolerance cultivars VH260 and MNH456,
and two heat susceptible cultivars ST213 and ST4288 which were mentioned in Chapter 1. The
growth environment mentioned in Chapter 1 was also continue used in this study.
After two weeks, the temperature of the M3 chamber was changed to 38℃ at midday for
three hours. The first two true leaves of cotton seedlings were collected at the following time point
0 hour, 1 hour, 2 hour, and 3 hours and stored at -80℃ for RNA isolation. At approximately
flowering time (six weeks after germination), 38/24℃ day/night temperature regime was applied
in the E15 chamber. The first day flowers were collected at 2 pm after 0, 1, 2, 3 days heat
treatment. Materials were stored at -80℃ for RNA isolation.
RNA Isolation
67
For Cotton seedling samples, total RNA was isolated and purified with the ‘Plant RNeasy
Mini Kit’ (Qiagen) from all the collected tissue according to the manufacturer’s protocol. For
cotton flower samples, the hot borate method (Pang et al., 2011) was used for RNA isolation. RNA
quality and concentration were tested using Nanodrop-1000. Samples that have OD 260/280 ratio
of 1.8 to 2 and OD 260/230 of 1.8 or greater, which means good quality RNA devoid of protein,
salt and solvents, were selected. Then RNA samples were diluted to 25ng/ul and stored at -20℃.
Quantitative RT-PCR
The expression profile of each selected cotton gene was obtained through qRT-PCR
reactions by using the SuperScript Ш Platinum SYBR Green One-Step qRT-PCR kit according to
the improved manufacturer protocols (Hendrix, 2006). The reaction mixtures contained 1.5μL of
diluted cDNA (25ng/ul), 0.2μL of each primer (10ng/ul), 0.2μL of Platinum Taq DNA
polymerase (Invitrogen), and 5.5μL of SYBR®Green Mix Buffer. 4.4μL of Rnase free water was
added to adjuste the final volume of 12μL. Polymerase chain reactions were carried out in an
optical 96-well plate with BIO-RAD CFX96 Touch™ Real-Time PCR Detection System.
Reaction mixtures were incubated for five minutes at 94°C, followed by 39 amplification cycles
of 15s at 94°C, 10s at 60°C and 15s at 72°C. Melting curve of amplification products was
conducted to examine the specificity of the reactions (Hendrix, 2006). The amplification products
which have melting curve peaks between 78-82°C were considered to be the right products. The
data was analyzed according to the methods by Peirson et al. (2003).
68
Data Analysis
The expression levels of genes were calculated according to the methods by Livak and
Schmittgen (2001). CT values were exported from BIO-RAD CFX96 Touch™ Real-Time PCR
Detection System for expression calculations with Microsoft Excel. Relative fold expression
changes were calculated using the comparative CT method, where fold change is calculated as 2–
ΔΔCT, in which ΔCT = CT of target gene – CT of reference gene, and ΔΔCT = ΔCT of heat treated
(38℃) sample – ΔCT of control (32℃) sample.
The physiological parameters of these four cultivars grown under high and normal day/night
temperature regimes were compared (from different plants) using a two-way ANOVA and LSD
post hoc analysis (α = 0.05). Statistical analysis was performed using JMP IN 7.0 software (SAS
Institute, Cary, NC). Pictures were performed using SIGMA PLOT 12.
Result and Discussion
In seedling samples, the gene expression of HSFA1b, GHSP26, HSP101, HSC70-1 and
APX1 under different heat treatment time periods were measured using RNA isolated from the
first two true leaves. HSFA1b was rapidly over expressed in VH260 and MNH456, which
increased thousands to over hundred thousand times after heat treatment in cotton seedlings.
However, in heat susceptible lines, only less than ten folds increase was observed in ST4288 and
expression even decreased in ST213 (Fig. 1). These results coincide with the result of Yoshida et
al. (2011), who observed that the HsfA1a, HsfA1b, and HsfA1d acted as the main positive
69
regulators of heat stress response, and function at the initiation of transcriptional cascade for heat
stress responsive genes. According to previous study by Yamaguchi-Shinozaki and Shinozaki
(2006) and Sakuma et al. (2006), in Arabidopsis, DREB2A is one of the transcription factors that
activates the expression of heat and drought stress responsive genes, and its expression is
induced by both drought and heat stresses. Yoshida et al. (2011) found that HsfA1a, HsfA1b, and
HsfA1d regulate the expression of DREB2A in response to heat stress. Their research also
suggests that most heat stress inducible genes are regulated by HsfA1a, HsfA1b, and HsfA1d.
More than hundreds of relative fold increases of GHSP26 were observed in VH260,
MNH456, and ST213, and less than 10 fold increase in ST4288 (Fig. 2). Maqbool et al. (2009)
observed that transgenic cotton plants over-expressing GHSP26 has higher ability to cope with
drought stress as compared to non-transgenic plants. According to Maqbool et al. (2007), GHSP26
protein sequence shares significantly high identity with Arabidopsis thaliana (CAA38036), Oryza
sativa (BAA78385), and Nicotiana tabacum (BAA29064). All these proteins comprise
alpha-crystalline-type HSPs, a family of small stress induced proteins ranging from 12 to 43 kDa,
which are ATP-independent chaperones that prevent proteins aggregation and are necessary in
refolding in combination with other HSPs (Jakob et al., 1993).
HSP101 was highly expressed in VH260 and MNH456, which increased ten to over
hundred times after heat treatment in cotton young leaves. However, in heat susceptible cultivars
ST213 and ST4288, significant decrease was observed in seedling leaves after two hours heat
70
stress (Fig. 3). The HSC-70 gene showed a 2 – 9 times increase in expression in VH260 and
MNH456, and no increase or even decrease in heat susceptible cultivars (Fig. 4). According to
previous studies, both HSP101 and HSP70 are very important heat shock proteins that function
as molecular chaperones to prevent aggregation and denaturation of cellular proteins in response
to high temperature (Frydman, 2001). When maize was exposed to high temperature, levels of
HSP101 increased correspondingly (Young et al., 2001). Burke (2001) had reported that those
mutants in Arabidopsis, which were unable to synthesize HSPs or in which HSP70 synthesis was
blocked or inactivated, were more sensitive to heat stress. Another result showed that plastid
stromal cpHSC70-1 is important for the thermotolerance of germinating seeds in Arabidopsis (Su
and Li 2008).
Only VH260 showed an obvious fold increase of APX1 with 3 – 9 fold increase in seedling
samples during hours of heat stress, while similar expression patterns were found in other three
cultivars i.e. the expression level decreased in seedling samples (Fig. 5). Previous study by
Davletova et al. (2005) had shown that APX1 is a central component of the reactive oxygen
network in Arabidopsis, and plays a key role in protection of adjacent compartments. This was
proved by oxidized proteins in chloroplastic, mitochondrial, and membrane in mutant plants.
Their research also suggested that HSFs are involved in the signal transduction pathway
controlling APX1 expression under environmental stress tests due to the result that HSF21 in
transgenic Arabidopsis plants prevented the accumulation of transcripts encoding of APX1
during light stress.
71
In flowering samples, the gene expression of HSFA2, ANNAT8, HSP101, HSC70-1 and
APX1 under different heat treatment time periods were measured using RNA isolated from ovary
tissue.
The study showed an increasing expression level of HSFA2 in all four cultivars after one to
three days of heat treatment. In heat tolerant cultivars (VH260 and MNH456) the expression
level increased ten to hundred times, whereas in heat susceptible cultivars (ST213 and ST4288)
only less than ten times increase was observed (Fig. 6). This result suggests that HSFA2 is highly
induced during heat stress in both types of cultivars, and its level of induction is much more in
heat tolerant lines. This result correlates with previous studies: according to Schramm et al.
(2006), expression of HsfA2 is strongly heat induced in Arabidopsis; and it is a relatively stable
protein, which accumulates like HSPs. Using microarray analysis, Busch et al. (2005) also found
that HsfA2 is strongly heat induced at transcriptional level. In the study of Schramm et al. (2006),
through Pearson correlation analysis, a core cluster of HSPs including Hsp26.5-P(r), Hsp25.3-P,
Hsp22.0-ER, Hsp18.1-CI, Hsp70b, and Hsp101-3 was identified to be affected by HSFA2.
EMSA (Electrophoretic Mobility Shift Assay) and transient reporter assays using promoter-GUS
fusions further confirmed the direct binding of HsfA2 to the promoters of these genes. With these
results, they concluded that expression of this subset of HSPs is regulated by HsfA2.
ANNAT8 increased 4 – 10 times in the heat tolerant lines, VH260 and MNH456, whereas
no obvious differences were observed in heat susceptible cultivars after heat treatment (Fig. 7).
72
These results match with the result of Cantero et al. (2006), who found that ANNAT8 is positively
affected by high temperature, dehydration and high NaCl. According to previous study, when
plants are under heat stress, cytosolic Ca2+ sharply rises (Larkindale and Knight, 2002). It seems
that it is the increase of Ca2+ concentration in cytosol transduces high temperature signal to
Mitogen Activated Protein Kinase (MAPK), which was considered to have a prominent role in
coping with many responses to external signals (Kaur and Gupta, 2005). ANNAT8 as a calcium
ion binding protein may function in transporting calcium signals into adaptive responses (Cantero
et al., 2006).
HSP101, a heat shock protein gene, was induced in VH260 and MNH456 to 4 – 9 times
upon heat treatment in cotton flowering plants. However, in heat susceptible lines, ST213 and
ST4288, less than two times increase were observed in ovary samples (Fig. 8). Another heat
shock protein gene, HSC-70, showed 2 – 10 times increase in expression in VH260 and
MNH456, and no increase or even decrease in expression in the heat susceptible cultivars (Fig.
9). Expression pattern of both HSP101 and HSC70 in flowering cottons is similar to that in
seedlings of the four lines.
Only VH260 showed a clear induction in APX1 gene expression in ovary upon heat
treatment with six fold increase after two days of heat stress. Other three cultivars showed only
a slight increase in APX1 expression level in the ovary (Fig. 10).
Also, the ΔΔCT values between the four genotypes in 32℃ of all 7 genes were compared to
73
see the expression differences.
Form. 3 Comparison of ΔΔCT values between the four genotypes in 32℃ of all 7 genes
Genes VH260 MNH456 ST213 ST4288
HSP101 (Seedling) 1 1.494849 781.4447 317.3652
HSP101 (Ovary) 1 2.084932 24.76104 9.849155
HSFA2 1 0.80107 17.14838 1.79005
HSFA1b 1 13.6421 1100708 1758.342
HSC70 (Seedling) 1 10.70342 7.674113 14.42001
HSC70 (Ovary) 1 4.594793 4.594793 14.6213
GHSP26 1 75.58353 2.675855 20.25211
APX1 (seedling) 1 9.986644 4.890561 14.12325
APX1 (Ovary) 1 1.505247 1.827663 2.329467
ANNAT8 1 0.517632 3.458149 3.138336
In our study, the expression pattern of the selected heat tolerance genes in four cultivars
can be explained as follows. Due to the genotypic difference, heat shock factors (HSF) and heat
shock proteins (HSP) are already highly expressed at 32℃ in heat susceptible lines, which have a
relative lower heat-threshold. Whereas, in heat tolerant lines, these genes are either silent or
expressed at very low levels. When the temperature rises to 38℃, HSFs and HSPs start to highly
express in heat tolerant lines, which represents a thousand-fold increase. However, in heat
susceptible lines, HSPs and HSFs are not sufficiently induced, thereby cellular proteins are not
protected from heat denaturation.
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Figure Legends
Fig. 1. Relative fold difference of HSFA1b expression level in thermotolerant (VH260 &
MNH456) and thermosensitive (ST213 & ST43288) G. hirsutum seedling first two true leaves
exposed to optimal temperature (32/24℃; black vertical bar) and high temperature (38/24℃; gray
vertical bars) for 1, 2, and 3 hours. All values are means ± standard error (n=3).
Fig. 2. Relative fold difference of GHSP26 expression level in thermotolerant (VH260 &
MNH456) and thermosensitive (ST213 & ST43288) G. hirsutum seedling first two true leaves
exposed to optimal temperature (32/24℃; black vertical bar) and high temperature (38/24℃; gray
vertical bars) for 1, 2, and 3 hours. All values are means ± standard error (n=3).
Fig. 3. Relative fold difference of HSP101 expression level in thermotolerant (VH260 &
MNH456) and thermosensitive (ST213 & ST43288) G. hirsutum seedling first two true leaves
exposed to optimal temperature (32/24℃; black vertical bar) and high temperature (38/24℃; gray
vertical bars) for 1, 2, and 3 hours. All values are means ± standard error (n=3).
Fig. 4. Relative fold difference of HSC70 expression level in thermotolerant (VH260 &
MNH456) and thermosensitive (ST213 & ST43288) G. hirsutum seedling first two true leaves
exposed to optimal temperature (32/24℃; black vertical bar) and high temperature (38/24℃; gray
vertical bars) for 1, 2, and 3 hours. All values are means ± standard error (n=3).
Fig. 5. Relative fold difference of APX1 expression level in thermotolerant (VH260 &
MNH456) and thermosensitive (ST213 & ST43288) G. hirsutum seedling first two true leaves
exposed to optimal temperature (32/24℃; black vertical bar) and high temperature (38/24℃; gray
79
vertical bars) for 1, 2, and 3 hours. All values are means ± standard error (n=3).
Fig. 6. Relative fold difference of HSFA2 expression level in thermotolerant (VH260 &
MNH456) and thermosensitive (ST213 & ST43288) G. hirsutum first day opening flowers
exposed to optimal temperature (32/24℃; black vertical bar) and high temperature (38/24℃; gray
vertical bars) for 1, 2, and 3 days. All values are means ± standard error (n=3).
Fig. 7. Relative fold difference of ANNAT8 expression level in thermotolerant (VH260 &
MNH456) and thermosensitive (ST213 & ST43288) G. hirsutum first day opening flowers
exposed to optimal temperature (32/24℃; black vertical bar) and high temperature (38/24℃; gray
vertical bars) for 1, 2, and 3 days. All values are means ± standard error (n=3).
Fig. 8. Relative fold difference of HSP101 expression level in thermotolerant (VH260 &
MNH456) and thermosensitive (ST213 & ST43288) G. hirsutum first day opening flowers
exposed to optimal temperature (32/24℃; black vertical bar) and high temperature (38/24℃; gray
vertical bars) for 1, 2, and 3 days. All values are means ± standard error (n=3).
Fig. 9. Relative fold difference of HSC70 expression level in thermotolerant (VH260 &
MNH456) and thermosensitive (ST213 & ST43288) G. hirsutum first day opening flowers
exposed to optimal temperature (32/24℃; black vertical bar) and high temperature (38/24℃; gray
vertical bars) for 1, 2, and 3 days. All values are means ± standard error (n=3).
Fig. 10. Relative fold difference of APX1 expression level in thermotolerant (VH260 &
MNH456) and thermosensitive (ST213 & ST43288) G. hirsutum first day opening flowers
exposed to optimal temperature (32/24℃; black vertical bar) and high temperature (38/24℃; gray
80
vertical bars) for 1, 2, and 3 days. All values are means ± standard error (n=3).
81
Figure 1
Figure 2
82
Figure 3
Figure 4
83
Figure 5
Figure 6
84
Figure 7
Figure 8
85
Figure 9
Figure 10
86
CONCLUSION
No obvious differences were found in photochemical efficiency of PSII in both heat tolerant
and heat susceptible lines. Two heat susceptible cultivars show a significant increase in membrane
leakage after heat treatment as compared to the heat tolerant lines. These results suggest that
genotypic differences exist between heat tolerant cultivars VH260, MNH456 and heat
susceptible cultivars ST213 and ST4288.
Both heat-tolerant cultivars highly express heat-shock proteins and heat-shock factors after
heat treatment, whereas heat-susceptible cultivars show a lower expression. Ascorbate Peroxidase
I and Annexin 8, the two general stress proteins are also highly induced in at least one of the heat
tolerant cultivars upon heat treatment. These results suggest that early induction of heat-stress
response genes such as heat shock proteins and heat shock factors, and general stress gene such as
Annexin 8 play an important role in conferring heat stress tolerance in cotton varieties VH260 and
MNH456. Thus, the heat tolerance mechanism in cotton is similar to that of Arabidopsis.
87
APPENDIX
Table 1: Actual Quantum Yield of seedling first two true leaves of four cultivars exposed to
optimal and high day temperatures.
Sample
number
VH260 MNH456 ST213 ST4288
32℃ 38℃ 32℃ 38℃ 32℃ 38℃ 32℃ 38℃
1 0.705 0.728 0.597 0.635 0.698 0.628 0.678 0.648
2 0.701 0.766 0.643 0.665 0.683 0.634 0.704 0.607
3 0.692 0.682 0.589 0.699 0.688 0.701 0.677 0.66
4 0.586 0.651 0.681 0.648 0.623 0.713 0.769 0.59
5 0.704 0.723 0.627 0.638 0.636 0.685 0.72 0.731
6 0.591 0.631 0.673 0.659 0.68 0.682 0.717 0.645
7 0.679 0.678 0.719 0.651 0.673 0.691 0.728 0.678
8 0.67 0.707 0.665 0.706 0.666 0.714 0.683 0.673
9 0.612 0.638 0.675 0.611 0.621 0.652 0.763 0.739
10 0.613 0.640 0.685 0.652 0.649 0.663 0.726 0.741
11 -- -- 0.725 0.702 -- -- 0.694 0.678
12 -- -- 0.66 0.665 -- -- -- --
Table 2: Actual Quantum Yield of flowering upper most fully expanded leaves of four cultivars
exposed to optimal and high day temperatures.
Sample
number
VH260 MNH456 ST213 ST4288
32℃ 38℃ 32℃ 38℃ 32℃ 38℃ 32℃ 38℃
1 0.797 0.799 0.782 0.746 0.774 0.749 0.78 0.76
2 0.805 0.775 0.773 0.775 0.786 0.778 0.736 0.775
3 0.8 0.798 0.757 0.754 0.768 0.765 0.746 0.747
4 0.78 0.745 0.755 0.756 0.772 0.753 0.791 0.726
5 0.796 0.792 0.757 0.758 0.776 0.754 0.796 0.734
6 -- -- -- -- 0.780 0.739 0.769 0.787
88
Table 3: Relative membrane injury of seedling first two true leaves of four cultivars exposed to
optimal and high day temperatures.
Sample
number
VH260 MNH456 ST213 ST4288
32℃ 38℃ 32℃ 38℃ 32℃ 38℃ 32℃ 38℃
1 0.395 0.385 0.453 0.488 0.355 0.545 0.358 0.431
2 0.415 0.489 0.489 0.568 0.368 0.502 0.371 0.436
3 0.442 0.427 0.473 0.559 0.397 0.460 0.397 0.618
4 0.401 0.521 0.434 0.530 0.368 0.424 0.309 0.495
5 0.444 0.514 0.429 0.504 0.372 0.464 0.341 0.614
Table 4: Relative membrane injury of flowering upper most fully expanded leaves of four
cultivars exposed to optimal and high day temperatures.
Sample
number
VH260 MNH456 ST213 ST4288
32℃ 38℃ 32℃ 38℃ 32℃ 38℃ 32℃ 38℃
1 0.312 0.314 0.289 0.303 0.316 0.502 0.370 0.447
2 0.335 0.324 0.281 0.314 0.325 0.443 0.399 0.504
3 0.312 0.311 0.307 0.305 0.353 0.417 0.376 0.560
4 0.303 0.297 0.316 0.304 0.354 0.409 0.373 0.563
5 0.315 0.312 0.283 0.309 0.337 0.443 0.379 0.519
89
Table 5: Ct value of related gene expression level in seedling first two true leaves of four
cultivars exposed to optimal and high day temperatures.
Cultivar Sample:
hour-replicate
HSPP2A1
(Ct)
HSFA1b
(Ct)
GHSP26
(Ct)
HSP101
(Ct)
HSC70
(Ct)
APX1
(Ct)
VH260 0-2 20.57 38.95 27.72 25.07 18.9 20.05
1-1 20.7 22.86 18.43 17.55 17.35 18.06
1-3 20.78 21.59 17.5 17.01 16.49 16.78
2-1 20.59 28.33 13.97 19.62 17.71 18.01
2-2 22.02 27.55 15.71 22.42 19.44 20.56
3-1 21.23 36.57 17.13 22.39 18.51 19.3
3-3 20.73 34.03 16.22 20.41 18.59 19.56
MNH456 0-2 23.14 37.75 24.05 27.06 18.05 19.3
1-1 22.62 28.55 13.17 18.3 15.83 17.84
1-2 21.15 24.47 12.17 17.8 14.61 17.21
2-1 19.77 23.56 14.88 24.11 18.7 17.46
2-2 21.5 23.06 15.23 24.66 18.19 19.06
3-2 19.1 37.01 15.05 22.35 16.32 17.22
3-3 21.65 37.07 16.43 25.36 17.98 18.44
ST213 0-1 20.53 18.84 26.26 15.42 15.62 17.72
1-1 20.66 22.07 19.16 17.34 17.29 18.06
1-3 20.74 24.77 18.08 19.01 17.3 18.42
2-2 21.59 22.74 17.97 25.09 18.15 19.9
2-3 21.11 22.5 17.14 27.1 18.4 19.11
3-1 20.65 23.29 17.09 21.98 18.55 19.38
3-2 20.88 24.04 17.16 26.61 18.62 19.13
ST4288 0-1 21.18 28.78 23.99 17.37 15.66 16.84
1-2 22.01 29.43 23.06 17.8 17.11 18.38
1-3 22.87 29.05 22.86 21.63 17.81 19.2
2-1 22.52 27.62 23.99 24.56 19.67 19.99
2-2 22.05 27.17 22.52 27.62 19.52 18.45
3-1 20.89 26.23 21.38 26.81 20.23 20.09
3-2 20.69 26.52 21.84 26.7 19.15 20.14
90
Table 6: Ct value of related gene expression level in first day opening flowers of four cultivars
exposed to optimal and high day temperatures.
Cultivar Sample:
hour-replicate
HSPP2A1
(Ct)
HSFA2
(Ct)
ANNAT8
(Ct)
HSP101
(Ct)
HSC70
(Ct)
APX1
(Ct)
VH260 0-3 21.33 30.7 30.35 31.16 23.14 21.14
1-1 21.03 27.11 30.19 28.96 21.76 21.04
1-2 23.73 27.9 31.89 30.78 22.95 22.67
2-1 20.07 21.8 25.75 26.79 18.63 17.02
2-3 21.45 24.36 27.7 28.13 19.46 19.06
3-1 21.24 27.15 30.9 29.02 20.59 20.57
3-3 19.28 26.38 28.91 27.72 19.31 20.05
MNH456 0-3 20.67 30.36 30.64 29.44 20.28 19.89
1-1 19.37 22.48 27.53 25.56 17.64 17.17
1-3 19.48 22.69 26.08 25.6 18.47 18.16
2-1 22.16 25.04 30.34 28.8 21.83 20.33
2-3 21.2 24.83 29.18 28.49 20.61 19.57
3-2 21.21 25.53 28.66 28.84 20.07 20.44
3-3 18.08 21.58 24.11 25.04 17.88 16.43
ST213 0-3 21.08 26.35 28.31 26.28 20.69 20.02
1-1 22.14 25.58 28.8 28.91 21.03 20.64
1-3 22.13 25.29 29.41 28.82 21.05 21.14
2-2 22.28 27.41 29.87 28.84 21.08 20.35
2-3 23.35 28.36 31.38 30.34 22.31 21.92
3-1 22.3 25.46 29.26 26.03 21.3 20.87
3-2 19 21.97 26.18 24 18.3 17.09
ST4288 0-2 23.1 31.63 30.47 29.63 21.04 21.69
1-1 21.59 27.58 27.95 27.2 19.52 19.62
1-2 21.1 28.26 28.17 29.04 19.75 19.35
2-1 21.02 26 28.38 28.79 20.05 18.88
2-2 23.44 29.65 29.82 30.79 22.86 22.61
3-1 21.07 26.48 28.64 28.08 21.5 19.37
3-3 23.63 29.5 30.55 29.82 24.93 23.42