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Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

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Page 1: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Accurate Assembly of Maize BACs

Patrick S. SchnableSrinivas Aluru

Iowa State University

Page 2: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Motivation

• Maize genome is more complex than previously sequenced genomes– Many high-copy, long, highly conserved repeats– Genome contains many NIPs (Nearly Identical

Paralogs, low-copy genes that are expressed and >98% identical; Emrich et al., 2007) (= CNPs and CNV)

• Hence, assembling this genome presents new challenges

• Are existing assembly programs up to the task?

Page 3: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Evidence of Assembly Errors

• Wash U noticed examples of collapse of repeats

• ISU identified examples of NIP collapse

Page 4: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

A C

A T

G C

B73

Mo17

SNP: single nucleotide polymorphism between alleles of a single geneParamorphism (PM): a single nucleotide substitution between paralogs Nearly Identical Paralogs (NIPs): paralogous sequences with >99% identity

Terms

Page 5: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Paramorphisms Provide Evidence of NIPs

Page 6: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Frequency of NIPs

• Conservatively ~1% of maize genes have NIPs (Emrich et al., 2007)

• Inspection of assembled BACs reveals NIP clusters

• But in addition also detect examples of “NIP collapse”

• CNPs/CNV associated with adaptive evolution in humans (Perry et al., Nat. Genetics, 2007)

Page 7: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

BAC Assembly, Example 1

• MAGI3.1 ID: MAGI_18749 (Emrich et al., 2007)

• BAC ID: CH201-140C17

Paramorphic Sites: C/T (1,175), C/T (1,293), C/T (1,359)

CH201-140C17: gi|146322123|gb|AC203431.1 (152,054 bp)

GenBank

56,572 55,984589 bp

Page 8: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

BAC Assembly Example 1 - Site #1BAC ID: CH201-140C17GI: 146322123GB: AC203431.1152,054 bp

MAGI_18749

Paramorphic Site #1:C/T (1,175)

2 C vs 2 T

“Consensus Base”

Paramorphic Site #1

2/7 assembled BACs known to contain NIPs exhibitevidence of NIP collapse (conservative)

Page 9: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Traditional Assembly• Sequence alignments between

reads are identified

• Construct contigs– Start at a good alignment – Extend ends of contig one

sequence at a time

• Clone pair information is used to scaffold contigs after contig construction.

Page 10: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Our Approach• Integrate clone pair data into contig assembly process

• Model sequence alignments & clone pairs as a graph.First, construct an alignment graph

Sequence reads are nodesA black edge is drawn between a pair of nodes if there is a valid sequence alignment

Page 11: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Clone Pair Informed AssemblySecond, introduce two add’l types of edges into the graph

Clone pair edges (red)

Path edges (green)A path edge exists between two nodes if: • they are close together in the graph • AND their clone pairs are also close together

Identifies assembly-relevant sequence alignments

Page 12: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Repeat Example

Page 13: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Our Approach• Series of graph transformations to ensure black edges (sequence

alignments) represent correct genomic overlaps, and resolve entries into and exits out of repeats.– Use clone pairs to validate alignments in repeat regions if the

corresponding mate pairs are anchored to unique regions and exhibit alignment.

– Use paramorphisms to break spurious alignments due to NIPs.– Use clone pairs to match entries into and exits out of repeats.– Use clone pairs and validated alignments to guide contigs.– Use graph min-cuts to find correct assignment of reads to the

complementary strands.– Use graph reductions and visualization for further analysis.

Page 14: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Example: Use Paramorphisms to Break Spurious Alignments

GTCT A CAGGTCT A CAGGTCT A CAG

GTCT C CAGGTCT C CAGGTCT C CAGGTCT C CAG

GTCT A CAGGTCT A CAGGTCT A CAG

GTCT C CAGGTCT C CAGGTCT C CAGGTCT C CAG

Page 15: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Three Random “Stage 3” BACs

• Shotgun sequences extracted from Genbank and trimmed

Name Reads Post Trim Corrupt Quality Info

273D22 1402 1352 5

306N19 1396 1310 1

396H10 1391 1337 33

Page 16: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

273D22• Annotate paths via

walking through the graph.

• Make use of three levels of pointers:– Black edges: show

what steps are available

– Green edges: indicate the best path

– Red edges: indicate our final destination

Page 17: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

273D22: Incorrect Contiging

Contig 0

Contig 0

Conti

g 1

Contig 1 is a small contig inthe finished BAC that containssequences that shouldbe attached to the end of Contig 0.

Page 18: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

273D22: Missing Scaffold

Page 19: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

306N19: Mis-assembly

Contig 3

Contig 5

Contig 0

Conti

g 4

Conti

g 3

Page 20: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

306N19: Complex Repeat

Page 21: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

D396H10: Missed Scaffolding

Conti

g 6

Contig 8

Contig 5

Page 22: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

D396H10: Missed Scaffolding

Contig 7

Contig 2

Contig 3

Page 23: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Identifying Assembly Errors???

Page 24: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

273D22: Weak Link not Corroborated by Clone Pairs

Contig 3

Contig 3

Page 25: Accurate Assembly of Maize BACs Patrick S. Schnable Srinivas Aluru Iowa State University

Conclusions & Future Directions• Discovered misassembled regions in all three randomly chosen BACs

– Conclusions supported by multiple lines evidence (clone pair + overlap)– Mis-assemblies (e.g., repeat-induced “knots”; collapsed repeats & NIPs) and missed

scaffolding

• Benefits of our approach– Can provide better assemblies

• Can navigate through repeats• Can correctly assemble NIPs

– With development could output contigs and perform scaffolding in one step– Could provide refined finishing advice– Could include a community-accessible visualization of assembled BAC contigs and

supporting data (confidence levels)

• Longer term– Our assembly approach could be applied to whole genome assembly of maize and other

complex genomes– Could incorporate paired next generation sequencing data (e.g. 454, Solexa, Solid)

• Needed research– Random collection of finished BACs (“truth”)– Develop algorithms for navigating paths through the graph– Accurately construct final contigs that contain multiple copies of repeats– Create BAC re-assembly pipeline (inform finishing efforts in future sequencing projects)– Scale approach to whole genome level