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Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago

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Presentation on theme: "Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago"— Presentation transcript:

1 Toward the genomics of Adaptation to seasonal environments in Arabidopsis thaliana Justin Borevitz Ecology & Evolution University of Chicago http://naturalvariation.org

2 Talk Outline Natural Variation/ QTL mapping Single Feature Polymorphisms (SFPs) eXtreme Array Mapping Potential deletions Haplotype analysis Patterns in gene Families Aquilegia

3 Light Affects the Entire Plant Life Cycle de-etiolation hypocotyl }

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6 Light Affects the Entire Plant Life Cycle Light response variation can be seen under constant conditions in the lab Natural Variation != Natural Selection

7 Seasons in the Growth Chamber Changing Day length Cycle Light Intensity Cycle Light Colors Cycle Temperature

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13 Quantitative Trait Loci

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16 QTL gene Confirmation Marker Identification Genotyping Genomics path Experimental Design Mapping population Phenotyping QTL Analysis Fine Mapping Candidate gene Polymorphisms gene expression loss of function QTL gene Confirmation Experimental Design Mapping population Phenotyping QTL Analysis Fine Mapping With the Aid of Genomics

17 Which arrays should be used? Spotted arrays Arizona 29,000 - 70mers ATH1, Affymetrix expression GeneChip 202,806 unique 25bp oligo nucleotides features AtTILE1, universal whole genome array every ~35bp, > 3Million PM features Re-sequencing array 120M*8bp –20 Accessions, Perlegen, –Max Planck (Weigel), USC (Nordborg) GeneChip

18 RNADNA Universal Whole Genome Array Transcriptome Atlas Expression levels Tissues specificity Transcriptome Atlas Expression levels Tissues specificity Gene Discovery Gene model correction Non-coding/ micro-RNA Antisense transcription Gene Discovery Gene model correction Non-coding/ micro-RNA Antisense transcription Alternative Splicing Comparative Genome Hybridization (CGH) Insertion/Deletions Comparative Genome Hybridization (CGH) Insertion/Deletions Methylation Chromatin Immunoprecipitation ChIP chip Chromatin Immunoprecipitation ChIP chip Polymorphism SFPs Discovery/Genotyping Polymorphism SFPs Discovery/Genotyping ~35 bp tile,non-repetitive regions, “good” binding oligos,evenly spaced

19 Potential Deletions

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21 False Discovery and Sensitivity PM only SAM threshold 5% FDR GeneChip SFPs nonSFPs Cereon marker accuracy 3806 89118 100% Sequence 817 121 696 Sensitivity Polymorphic 340 117 223 34% Non-polymorphic 477 4 473 False Discovery rate: 3% Test for independence of all factors: Chisq = 177.34, df = 1, p-value = 1.845e-40 SAM threshold 18% FDR GeneChip SFPs nonSFPs Cereon marker accuracy 10627 82297 100% Sequence 817 223 594 Sensitivity Polymorphic 340 195 145 57% Non-polymorphic 477 28 449 False Discovery rate: 13% Test for independence of all factors: Chisq = 265.13, df = 1, p-value = 1.309e-59 3/4 Cvi markers were also confirmed in PHYB 90%80%70% 41%53%85% 90%80%70% 67%85%100% Cereon may be a sequencing Error TIGR match is a match

22 Chip genotyping of a Recombinant Inbred Line 29kb interval Discovery 6 replicates X $500 12,000 SFPs = $0.25 Typing 1 replicate X $500 12,000 SFPs = $0.041

23 Map bibb 100 bibb mutant plants 100 wt mutant plants

24 bibb mapping ChipMap AS1 Bulk segregant Mapping using Chip hybridization bibb maps to Chromosome2 near ASYMETRIC LEAVES1

25 BIBB = ASYMETRIC LEAVES1 Sequenced AS1 coding region from bib-1 …found g -> a change that would introduce a stop codon in the MYB domain bibbas1-101 MYB bib-1 W49* as-101 Q107* as1 bibb AS1 (ASYMMETRIC LEAVES1) = MYB closely related to PHANTASTICA located at 64cM

26 Array Mapping Hazen et al Plant Physiology (in press) chr1 chr2 chr3 chr4 chr5

27 eXtreme Array Mapping 15 tallest RILs pooled vs 15 shortest RILs pooled

28 LOD eXtreme Array Mapping Allele frequencies determined by SFP genotyping. Thresholds set by simulations 0 4 8 12 16 020406080100 cM LOD Composite Interval Mapping RED2 QTL Chromosome 2 RED2 QTL 12cM Red light QTL RED2 from 100 Kas/ Col RILs (Wolyn et al Genetics 2004)

29 Potential Deletions Suggest Candidate Genes FLOWERING1 QTL Chr1 (bp) Flowering Time QTL caused by a natural deletion in FLM MAF1 FLM natural deletion (Werner et al PNAS 2005)

30 Fast Neutron deletions FKF1 80kb deletion CHR1cry2 10kb deletion CHR1 Het

31 Array Haplotyping What about Diversity/selection across the genome? A genome wide estimate of population genetics parameters, θ w, π, Tajima’D, ρ LD decay, Haplotype block size Deep population structure? Col, Lz, Bur, Ler, Bay, Shah, Cvi, Kas, C24, Est, Kin, Mt, Nd, Sorbo, Van, Ws2 Fl-1, Ita-0, Mr-0, St-0, Sah-0

32 Array Haplotyping Inbred lines Low effective recombination due to partial selfing Extensive LD blocks ColLerCviKasBayShahLzNd Chromosome1 ~500kb

33 SFPs for reverse genetics http://naturalvariation.org/sfp 14 Accessions 30,950 SFPs`

34 Chromosome Wide Diversity

35 Diversity 50kb windows

36 Tajima’s D like 50kb windows RPS4 unknown

37 R genes vs bHLH

38 Review Single Feature Polymorphisms (SFPs) can be used to Identify recombination breakpoints eXtreme Array Mapping Potential deletions (candidate genes) Haplotyping Diversity/Selection Association Mapping

39 Aquilegia (Columbines) Recent adaptive radiation, 350Mb genome

40 > 20k dbEST 11/14/2003 Animal lineage: good coverage Plant lineage: crop plant coverage

41 NSF Genome Complexity 45,000 ESTs 5’ and 3’ ends 350 arrays, RNA and genotyping –High density SFP Genetic Map Physical Map (BAC tiling path) –Physical assignment of ESTs QTL for pollinator preference –~400 RILs, map abiotic stress –QTL fine mapping/ LD mapping Develop transformation techniques Scott Hodges (UCSB) Elena Kramer (Harvard) Magnus Nordborg (USC) Justin Borevitz (U Chicago) Jeff Tompkins (Clemson)

42 NaturalVariation.org Salk Jon Werner Joanne Chory Joseph Ecker Max Planck Detlef Weigel UC San Diego Charles Berry Scripps Sam Hazen Elizabeth Winzeler Salk Jon Werner Joanne Chory Joseph Ecker Max Planck Detlef Weigel UC San Diego Charles Berry Scripps Sam Hazen Elizabeth Winzeler University of Chicago Xu Zhang Evadne Smith UC Davis Julin Maloof University of Guelph, Canada Dave Wolyn Sainsbury Laboratory Jonathan Jones University of Chicago Xu Zhang Evadne Smith UC Davis Julin Maloof University of Guelph, Canada Dave Wolyn Sainsbury Laboratory Jonathan Jones


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