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Systems biology of grape diseases Dario Cantu, Assistant Professor Viticulture and Enology Department, UC Davis GRCN July 10 2013 Davis, CA

Systems biology of grape diseases - NAES · Systems biology of grape diseases Dario Cantu, Assistant Professor! Viticulture and Enology Department, UC Davis! GRCN July 10 2013 Davis,

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Systems biology of grape diseases

Dario Cantu, Assistant Professor!Viticulture and Enology Department, UC Davis!

GRCN July 10 2013 Davis, CA

Nematodes

Bacteria

Viruses

Fungi

Grapevine diseases!

Oomyctes

Understanding grapevine diseases!

Planting density Moisture content Temperature Rain Wind Nutrient availability Other organisms

The host plant must be

susceptible to the pathogen

Environment

Disease The pathogen must be able to overcome

plant defenses

The environment must tip the balance in favor of the pathogen

Identification and characterization of novel sources of resistance!

Dissection of disease response molecular networks !

A systems biology approach!

Knowledge-based decisions to improve durability of resistance to diseases Integrating classical and systems biology approaches

Characterize mechanisms of pathogenicity and their evolution!

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density PHYLUM

AscomycotaBasidiomycota

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Basidiomycota (median=42.4Mb; N=427) Ascomycota (median=26.6Mb; N=1,106)

Fungal  Genome  Size  Database.  h5p://www.zbi.ee/fungal-­‐genomesize.

Genomics of fungal pathogenicity!

“small” eukaryotic genomes = more accessible genomes and affordable re-sequencing

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density PHYLUM

AscomycotaBasidiomycota

Plant pathogens

Pathogen-specific focused annotation 6  

A Fungal pathogen genome sequencing and assembly workflow

Isolation and taxonomic identification Shotgun sequencing

Illumina (HiSeq, MiSeq) PacBio RS

Quality control

Quality trimming/filtering Adapter removal Error correction K-mer analysis

De novo assembly

SOAPdenovo CLC Velvet SGA Mira …

Assembly QC

1. Contaminants

2. Assembly metric - Total length - N50 - L50 - Scaffold > 2Kb - Coverage

3. CEGMA

how many of the 248 Core eukaryotic genes are in the assembly?

Gene discovery

RNAseq

Repeat masker Maker (w/ snap) Augustus

[evidence-based and ab initio]

Quality control

Esca disease Phaeomoniella chlamydospora Phaeoacremonium spp. Togninia minima

Eutypa dieback Eutypa lata Eutypa leptolaca Diatrype prominens Diatrype stigma Diatrype whitemanensis Eutypella spp. …

Botryosphaeria canker Botryosphaeria spp. Neofusicoccum parvum

Grapevine trunk disease genomics

Esca disease Phaeomoniella chlamydospora Phaeoacremonium spp. Togninia minima

Eutypa dieback Eutypa lata Eutypa leptolaca Diatrype prominens Diatrype stigma Diatrype whitemanensis Eutypella spp. …

Botryosphaeria canker Botryosphaeria spp. Neofusicoccum parvum

Grapevine trunk disease genomics

Net income = Revenue – Expenses* *$60 per acre to remove diseased wood h%p://coststudies.ucdavis.edu/  

Cankers are the main cause of grapevine dieback

Esca disease Phaeomoniella chlamydospora Phaeoacremonium spp. Togninia minima

Eutypa dieback Eutypa lata Eutypa leptolaca Diatrype prominens Diatrype stigma Diatrype whitemanensis Eutypella spp. …

Botryosphaeria canker Botryosphaeria spp. Neofusicoccum parvum

Grapevine trunk disease genomics

Net income = Revenue – Expenses* *$60 per acre to remove diseased wood h%p://coststudies.ucdavis.edu/  

Cankers are the main cause of grapevine dieback

Esca disease Phaeomoniella chlamydospora Phaeoacremonium spp. Togninia minima

Eutypa dieback Eutypa lata Eutypa leptolaca Diatrype prominens Diatrype stigma Diatrype whitemanensis Eutypella spp. …

Botryosphaeria canker Botryosphaeria spp. Neofusicoccum parvum

Grapevine trunk disease genomics

Net income = Revenue – Expenses* *$60 per acre to remove diseased wood h%p://coststudies.ucdavis.edu/  

Cankers are the main cause of grapevine dieback

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Eutypa lata (Eutypa dieback)

Togninia minima (Esca)

Neofusicoccum parvum (Bot canker)

Genome assembly Fungal purification

Grapevine trunk disease genomics

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Comparative analysis of the predicted secretome

signalP targetP TM-HMM

Predicted proteome

Secretome

pfam Blast2go CAZy

GH43: hemicellulase; GH61: monoxygenase

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Multiple hosts

Multiple geographical locations

Different virulence strengths

Sampling genetic diversity (whole genome resequencing)

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Multiple hosts

Multiple geographical locations

Different virulence strengths

Sampling genetic diversity (whole genome resequencing)

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Stripe  rust  

Draft genome reference release

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Stripe  rust  

Draft genome reference release

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Cereal stripe rust genomics

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density PHYLUM

AscomycotaBasidiomycota

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“Difficult” genome: -  Dikaryon (2n, ~5 heterokaryotic SNPs / Kb) -  Large (expansion of intergenic repetitive regions). -  DNA not from axenic cultures (contamination)

Puccinia striiformis f.sp. tritici genomics

Whole-genome shotgun sequencing!

Puccinia striiformis f.sp. tritici!

Two lanes of Illumina GAII -> 95% reads assembled in 29,178 contigs covering approximately ~90% of the PST genome (59x coverage; estimated size 80Mb) !

N50: 5.1Kb!

Illumina GAII!

Puccinia striiformis f.sp. tritici genomics

http://www.plosone.org/article/info%3Adoi/10.1371/journal.pone.0024230

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Puccinia striiformis f.sp. tritici genomics

Gene space quality control by pathway completeness

Assembly QC -> colinearity with Puccinia graminis f.sp. tritici (PGT) of longest contigs

Total length: 1.8 Gbp (~ 22X) Average length: 2400.11 nt Median length: 1,988 nt Longest sequence: 23,062 nt

Puccinia striiformis f.sp. tritici genomics

Error correction Illumina reads

PacBio

Hybrid assembly

Scaffolding

Assembled  genomes  Sequencing  in  progress  DNA  being  collected  

Whole  Genome  resequencing  of  32  isolates  from  12  different  countries  in  4  conFnents)    

Illumina HiSeq2000

PacBio RS

Puccinia striiformis f.sp. tritici genomics

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Puccinia striiformis f.sp. tritici genomics

Dodds  &  Rathjen,  2010  

Effectoromics    

Effector  candidate  discovery    1.  Genome  analyses  2.  Transcriptome  profiling  3.  Effector  focused  annotaQon    

h%p://www.biomedcentral.com/1471-­‐2164/14/270  

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Puccinia striiformis f.sp. tritici genomics: 1. Genome analysis

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Haustoria transcripts

Puccinia striiformis f.sp. tritici genomics: 2. Transcriptome profiling

Haustoria isolation

Infected tissue

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Puccinia striiformis f.sp. tritici genomics: 3. Focused effector annotation

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Andy Walker (UCD), Kendra Baumgartner (USDA-ARS), Philippe Rolshausen (UCR), Caroline Roper (UCR), Andrew McElrone (USDA-ARS), Summaira Riaz (UCD), Ann Powell (UCD), Doug Gubler (UCD). Wheat rust:

Jorge Dubcovsky (UCD), Richard Michelmore (UCD), Cristobal Uauy (John Innes Centre), Sophien Kamoun (TSL), Diane Saunders (TSL), Xiaodong Wang (UCD), Xianming Chen (USDA-ARS).

Abraham Morales-Cruz

Aurelie Sastre

Barbara Blanco-Ulate

Eduardo Gutierrez Katherine

Harris Amrine Laura Jones

Our team

Collaborators

More  info:    h%p://cantulab.github.com