Genotype to Phenotype - Middle East Technical...

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Genotype to Phenotype Genomic Based Tools to Manage Forest Tree Populations in Response to Climate Change Genomic Based Tools to Manage Forest Tree Populations in Response to Climate Change

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Page 1: Genotype to Phenotype - Middle East Technical Universityusers.metu.edu.tr/biorare/Neale_BIORARE_May2010.pdf · Genotype to Phenotype Genomic Based Tools to Manage Forest Tree Populations

Genotype to PhenotypeGenomic Based Tools to Manage Forest Tree Populations in Response to Climate ChangeGenomic Based Tools to Manage Forest Tree Populations in Response to Climate Change

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“I like trees because they seem more resigned to the waythey have to live than other things do”

Willa Cather 1913~ Willa Cather 1913

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Potentilla glandulosa from three different elevations planted at three different elevationsat three different elevations

(from Clausen, Keck and Hiesey 1940)

e 0 m

Timbe

rlin

El.

3,03

0

to 0 m

T E

Nat

ive

Mat

her

El.

1,40

N

ford

5 m

dead

TimberlineStanford Mather

Stan

fEl

. 35

dead

Grown atEl. 3,030 mEl. 35 m El. 1,400 m

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Clinal Patterns of Adaptation in Balsam Fir

Estimated allele frequencies for eight allozyme loci in four subpopulations of balsam fir on Mt. Moosilauke, New

Hampshire

0,500

1,000

e Fr

eque

ncie

s 6-PgdPgmlGot1Got2Got3G i2

0,000

0,500

1464 1312 1159 854

Alle

le Gpi2Lap1Lap2

Relationship of temperature optimum for net photosynthetic CO2 uptake to elevational origin of

balsam fir seedlings. Points represent 1464 1312 1159 854

Elevation (Meters)

Neale DB, Adams WT (1985) Allozyme and mating-system variation in balsam fir across a continous

balsam fir seedlings. Points represent determinations on individual pots.

um (oC) 

2 up

take 

yelevational transect. Canadian Journal of Botany 63, 2448-2453.

ture optim

uynthetic CO2

Fryer JH, Ledig FT (1972) Microevolution of photosynthetic temperature optimum in

n (ft)

Tempe

rat

for ph

otosy

photosynthetic temperature optimum in relation to elevational complex. Canadian Journal of Botany 50, 1231-1235.

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Traits that are Controlled by Single Genes

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Genomic Approaches to Complex Trait Dissection

• Quantitative Trait Locus (QTL) Mapping • Association MappingAssociation Mapping

Pinus taeda Pseudotsuga menziesii Populus trichocarpa(loblolly pine) (Douglas-fir) (black cottonwood)

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Genecology of Phenology and Cold-hardinessin Coastal Douglas firin Coastal Douglas-fir

Trait h2Trait h2

Bud flush 0.87

Bud set 0.70

Second flushing 0.45

Fall hardiness 0.19

Winter hardiness 0.11

Spring hardiness 0.77

Spring frost damage 0.56

H t l 2003 C J B t 81Howe et al. 2003. Can. J. Bot. 81: 1247-1266.

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Phenology and Cold-hardiness QTLs in Douglas firgy g

Publication Phenotype No. QTLs

J t d t l (2001 B d fl h ti i 33Jermstad et al. (2001, TAG 102:1142-1151)

Bud flush timing 33

Jermstad et al. (2001, TAG 102:1152-1158)

fall/spring cold-hardiness 11/15)

Jermstad et al. (2003, Genetics 165:1489-1506)

many 4-11QTL x environment

Wheeler et al. (2005, Mol. spring cold-hardiness 10 ( ,Breed. 15:145-156)

p g(assoc. of 17 candidate genes to QTLs)

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Linkage versus Association

XX

A favourable mutation

several generations

XX

XX

X

X

N l l i (M i di Natural population (= multiple genetic backgrounds)

Mapping pedigreeLG

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Association Genetics in Conifers

0 100 200 300 400 500 600 700 800 900 1000 1100

-41 622 725 813 1079

Association Genetics in Conifers

F1 R1A F2 R2-12 548 575 990

39

58

76

84

108

124

126

136

147

172

207

441

456

474

510

644

647

651

667

696

703

731

756

792

828

835

842

847

861

870

878

890

917

926

949

963

HAPLOTYPE

1 G T G T G C A G G A G G G C C T T G T T T A A A G A T C C A C G G C G C1 G T G T G C A G G A G G G C C T T G T T T A A A G A T C C A C G G C G C1 G T G T G C A G G A G G G C C T T G T T T A A A G A T C C A C G G C G C1 G T G T G C A G G A G G G C C T T G T T T A A A G A T C C A C G G C G C1 G T G T G C A G G A G G G C C T T G T T T A A A G A T C C A C G G C G C1 G T G T G C A G G A G G G C C T T G T T T A A A G A T C C A C G G C G C1 G T G T G C A G G A G G G C C T T G T T T A A A G A T C C A C G G C G C

2 G T G T C C A G G A A A G C C T T G T T T A A C G A T C C A C G G C G C2 G T G T C C A G G A A A G C C T T G T T T A A C G A T C C A C G G C G C2 G T G T C C A G G A A A G C C T T G T T T A A C G A T C C A C G G C G C

3 G T G T C C A G G A G G G C C T T G T T T A A A G A T C C A C G G C G C3 G T G T C C A G G A G G G C C T T G T T T A A A G A T C C A C G G C G C3 G T G T C C A G G A G G G C C T T G T T T A A A G A T C C A C G G C G C

4 G T G T G C A G G G G G G C C T T G T T T A A A G A T C C A C G G C G C

5 G T G T G C A G G A G A T C C C G G T G T A A C G A - C T T T G G C G C5 G T G T G C A G G A G A T C C C G G T G T A A C G A - C T T T G G C G C5 G T G T G C A G G A G A T C C C G G T G T A A C G A - C T T T G G C G C

1n2n

6 C T G T G C A G G A G A T C C C G G T G T A A C G A - C T T T G G C G C6 C T G T G C A G G A G A T C C C G G T G T A A C G A - C T T T G G C G C

7 C T G T G C A G G A G A T C C C G G T G T A G C G A - C T T T G G C G C8 C T C T G C A G G A G A T C C C G G T G T A A C G A - C T A T G G C G C

9 G A G T G C A G G A G G G C T T T C T T G A G C G G T T T A C T G A G T9 G A G T G C A G G A G G G C T T T C T T G A G C G G T T T A C T G A G T9 G A G T G C A G G A G G G C T T T C T T G A G C G G T T T A C T G A G T

10 G A G T G C A G G A G G G C T T T C T T G T G C G G T T T A C T G A G T11 G A G T G C A G G A G A G C T T T C T T G A G C G G T T T A C T G A G T12 G A G T G C A G G A G G G C T T T C T T G A A C G G T T T A C T G A G T

13 G A G T G C A G G A G G G T T T T C C T G A G C G G T T T A C T G A G T13 G A G T G C A G G A G G G T T T T C C T G A G C G G T T T A C T G A G T

14 G A G G A C A G G A G G G C C T T G T T T A A C G A T C C A C G G T G C

15 G A G T G C G A G A G G G C C T T G T T T A G C T G T T T A C G C C C T16 G A G T G G A G A A G G G C C T T G T T T A G C T G T T T A C G C C C T

1

0.4

0.6

0.8

r2

2

Large and Random Mating Population

0

0.2

0 500 1000 1500 2000 2500 3000

Distance between sites (bp)

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Cold induced Proteins in Douglas fir EST LibrariesCold-induced Proteins in Douglas-fir EST Libraries

• Candidate genes in Arabidopsis from Lee et al. (2005, Plant Cell 17: 3155-

939( ,3175)

• Total with tBLASTx scores 553• Total with tBLASTx scores < e-10 from Douglas fir EST libraries

553

• Automated and manual primer design for Sanger

i

378resequencing

• Final selection121

Eckert et al. 2009. Genetics 183: 289-298

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Patterns of Linkage Disequilibrium

Intragenic LD:

1. Extends upwards of 1 kb

2. Higher than previously reported in other conifers

Intergenic LD:g

1. Prevalent among genes on the same linkage group.same linkage group.

2. Limited to proximal genes.

Eckert et al. 2009. Genetics 183: 289-298

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Candidate Genes Consistent with Selective SweepsCandidate Genes Consistent with Selective Sweeps

Gene Product ResultCompound DHEW test

GRAM-containing/ABA-responsive protein PD = 0 001 PH < 0 001 PEW = 0 080GRAM containing/ABA responsive protein PD 0.001, PH < 0.001, PEW 0.080cold-regulated plasma membrane protein PD = 0.009, PH = 0.050, PEW = 0.035

dehydrin-like protein PD = 0.072, PH = 0.083, PEW = 0.042luminal binding protein PD = 0.034, PH = 0.148, PEW = 0.076

Polymorphism-to-divergencecyclosporin A-binding protein k = 0.32

GRAM-containing/ABA-responsive protein k = 0.58transcription regulation protein k = 0 41transcription regulation protein k = 0.41

Ka/Ks

thaumatin-like protein Ka/Ks = 14.45auxin-responsive family protein Ka/Ks = 5.97p y p

bicoid-interacting 3 domain containing protein Ka/Ks = 4.94pentatricopeptide (PPR) containing protein Ka/Ks = 4.27

Eckert et al 2009 Genetics 183: 289-298Eckert et al. 2009. Genetics 183: 289 298

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SNP GenotypingSNP Genotyping

GTApplication SNPs n

GT(>0.25) CR CG

Linkage mapping 384 192 295 0.96 37

Association mapping 384 706 277 0.92 94

GT = 0.86

47 91 54

GT = 0.58GT 0.58

44 92 54

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Association Genetics

• 30 associations

12 did t

• SNP genotypes track environmental gradients in the same way as the phenotypes to which they are associated.

7 ith t ll l f diff ti ti• 12 candidate genes

• Mostly additive effects

• 7 genes with strong allele frequency differentiation across the Cascade Crest• Direct relation to phenotypes is confounded with structure

Eckert et al. 2009. Genetics 182: 1289-1302

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Patterns of Adaptive Molecular Genetic DiversityPatterns of Adaptive Molecular Genetic Diversity

Neutral Genotype Phenotype Non-neutral and associated with phenotype

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Resequencing and SNP di (7 424 )discovery (7,424 genes)

High-throughput computational solutions developed for bioinformatic SNP determination and sequence analysis

Phenotyping:W d Q litWood QualityDisease ResistanceDrought-ToleranceGene ExpressionMetabolites

Genotype 1-2 SNPs per Candidate Gene on a 7600 Illumina Infinium chip

Sequencing, Assembly, & Analysis of 10 BAC clones

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ADEPT2 SNP discovery

Materials and Methods• Range-wide diversity panel of 18 megagametophytes + 5 primer validation samples

i i i

• Sanger sequencing (Agencourt Biosciences)

• Sequence Analysis and SNP calling (PineSAP, cf. Wegrzyn et al. 2009, Bioinformatics)

Total number of EST ContigsF UGA d UMN l t i

40,000Total number of unique

EST ti

20,500Filter out contigs similar by

blast analysis to other sequences in this dataset

High throughput primer design pipeline

at Agencourt Biosciences

Bioinformatic assessment

From UGA and UMN clustering EST contigs

Number of EST contigs for whichPrimers were successfully designed

14,000

Number of validated

7,900Primer Validationby test squencing

and BLAST to EST Number of Candidate genes represented

7,850 ResequencingIn diversity panel

primer pairs contig databaseIn SNP discovery panel resequencing

Sequence analysis assessmentDescription Count OutgroupDescription Count OutgroupCore Set 4861 ----------Outgroup-1 2975 Radiata pine (P. radiata)g ( )Outgroup-2 719 Sugar pine (P. lambertiana)

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Analysis tools Database and web tools

Pi SAP D SAM Di iTPineSAP DnaSAM DiversiTree

http://dendrome.ucdavis.edu/interface/

E k t t l 2010 M l E l RW t l 2009 Bi i f ti

Li kLoblolly pine BAC assemblies:10 BACs

Data sets

Eckert et al. 2010. Mol. Ecol. Res.Wegrzyn et al. 2009. Bioinformatics

Linkage maps:

(Pinus taeda)

10 BACsLengths: ~60000-150000 bpTotal Length: ~950000 bp

~1800 gene loci mapped

~1900 cM total map distance

~0.80 loci/cM (range 1-10+)

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Loblolly pine diversity and divergencey p y g

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Population structure in loblolly pine

Using genotypes at 3900 SNPs and 23 nuclear microsatellites for 907 range-wide collections g g yp gin combination with the Bayesian clustering algorithms (STRUCTURE) and PCA 3 main genetic clusters were identified:

Eckert et al. in press. Genetics.

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Deviations from neutrality in loblolly pine

Moderate levels of diversity

id d fRapid decay of LDLittle population differentiationdifferentiationSigns of selective sweeps:

• LG8• 5-10 genes. • Putative functions: abiotic and biotic stress response

Eckert et al. in press. Genetics.

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Molecular Basis of Adaptive GeneticMolecular Basis of Adaptive Genetic Diversityy

Which SNPs have unusual correlations to aridity gradients (i.e. ratio of precipitation to

t ti l t i ti )?potential evapotranspiration)?

Eckert et al. in press Genetics.

Which SNPs have unusual correlations to multivariatecorrelations to multivariate climate gradients corresponding to temperature, growing degree-to temperature, growing degreedays, precipitation and aridity? Eckert et al. in press. Mol. Ecol.

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Models Incorporating Population Structure Corrections

PCA – GLM: Bayesian GLMM:

Six highly significant associations (after Bonferroni corrections) to aridity Four

Core set of 48 SNPs correlated to temperature and precipitation with Bayes

Eckert et al. in press. Genetics. Eckert et al. in press. Mol. Ecol.

Bonferroni corrections) to aridity. Four are shown here. This is out of 3,938 SNPs tested.

temperature and precipitation with Bayes factors > 100. This is out of 1,730 tested.

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CRSP - Comparative Re-Sequencing inRe Sequencing in

Pinaceae

Scientific Name Common Name Genome Size(Mb) SNPs Identified InvestigatorsScientific Name Common Name Genome Size(Mb) SNPs Identified Investigators

Pinus ellottii Slash Pine 24,200 2,879 Dudley Huber (University of Florida)

Pinus radiata Monterey Pine 26,500 2,474 Shannon Dillon (CSIRO)

Pinus pinaster Maritime Pine 30,300 2,981 Santiago Gonzalez Martinez & DelphinePinus pinaster Maritime Pine 30,300 2,981 Santiago Gonzalez Martinez & Delphine Grivet (ICIFOR - INIA)

Pinus sylvestris Scots Pine 24,600 3,803 Outi Savolainen & Sonja Kujala (University of Oulu)

Pinus lambertiana Sugar Pine 33 500 4 238 Kathie Jermstad (IFG)Pinus lambertiana Sugar Pine 33,500 4,238 Kathie Jermstad (IFG)

Pseudotsuga menziesii Douglas Fir 18,700 2,491 Kathie Jermstad (IFG)

Picea abies Norway Spruce 18,200 3,417 Marta Scalfi (IASMA)

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WHISP - White Pine Re-Sequencing ProjectGoal: SNP Discovery in North American members of the white pines toinvestigate evolutionary relationships among eleven species

200 genes will be resequenced in the following white pines:

Pinus strobus Pinus albicaulis Pinus aristata Pinus ayacahuitePinus monticolaPinus strobiformisPinus strobus Pinus albicaulis Pinus aristata Pinus ayacahuitePinus monticolaPinus strobiformis

Pinus balfouriana Pinus flexilisPinus lambertianaPinus longaevaPinus monophylla

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Alpine Ecosystems in Changing Environments: Biodiversity Sensitivity and Adaptive Potentialod ve s ty Se s t v ty a d dapt ve ote t a

Pinus abies

Pinus cembraPinus cembra

Larix decidua

Pinus mugo

Abies alba

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Resequencing of the candidate genes - 4 species: p

Pinus cembra PICE Pinus mugoPIMG

Larix decidua LADE Abies albaABAL- 12 individuals per species (megagametophytes)- 735 genes assigned to 3 categories according to their putative function:

candidate control demographic- several locations across the species distribution in European PinusPinus cembracembra Pinus mugoPinus mugop pMountains

inusinus ce b ace b a us ugous ugo

LarixLarix deciduadecidua Abi lbAbi lbLarix Larix deciduadecidua Abies albaAbies alba

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All genes

ABAL LADE PICE PIMGGenes # 260 298 501 532

Polym. # 178 200 304 410

SNPs # 1044 1625 1748 3522

SNP freq. 106 79 118 63

Diversityy

Gene categories

ABAL LADE PICE PIMG

Candidate 196 192 317 335

Control 70 82 154 165

Demographic 21 24 30 42

Divergence

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Sampling across Alpine Mountains- 3 sampling levels: from geographic level to local onep g g g p- 5 species: Abies alba; Larix decidua;

Pinus cembra; Pinus mugo; Picea abies800 trees per species- 800 trees per species

- 2 gradients: altitudinalsoil type

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Clinal Patterns of Adaptation in Balsam Fir

Estimated allele frequencies for eight allozyme loci infour subpopulations of balsam fir on Mt. Moosilauke,New Hampshire

0,500

1,000

Freq

uenc

ies

Relationship of temperature optimum for net photosyntheticCO2 uptake to elevational origin of balsam fir seedlings.Points represent determinations on individual pots.

0,0001464 1312 1159 854

Alle

le

Neale DB, Adams WT (1985) Allozyme and mating-system variation in balsam fir across a continous elevational transect. Canadian Journal of Botany 63, 2448-2453.

p p

m (oC) 

2 up

take 

Elevation (Meters)

ture optim

umynthetic CO2

Elevation

Tempe

rat

for ph

otosy

Fryer JH, Ledig FT (1972) Microevolution of photosynthetic temperature optimum in relation to elevational complex. Canadian Journal of Botany 50, 1231-1235.

Elevation (ft)

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Barry Goldfarb

AcknowledgmentsSteve McKeand

David NealeJill Wegrzyn

Chuck LangleyKristian Stevens

Barry GoldfarbNick WheelerBialian LiPatrick Cumbie

Dana NelsonBrad St. Clair

S eve c e dRoss WhettenFikret IsikJB JettJill Wegrzyn

Andrew EckertKathleen JermstadJohn Liechty

Kristian Stevens Brad St. Clair

John LiechtyKatie TsangBen FigueroaElly Chen

Betty WolfWei Tao

Gary PeterJohn DavisM i KiJeff Deany

Alex Voong Marc RubenfieldKerri StelattoPatricia Harris

Carol LoopstraTom Byram

Matias KirstDudley HuberGeorge Cassela

Jeff Dean

Tom ByramKonstantin Krutovsky

Glenn HoweG e oweDavid HarryNick Wheeler

Chung-Jui Tsai Mark DavisBrian Stanton

Funding: