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Demography at different scales in the widespread tropical species Symphonia globulifera (Clusiaceae) Paloma TorrobaBalmori, Thomas L. Parchman, Katharina B. Budde, Katrin Heer, Santiago C. GonzálezMartínez, Caroline ScottiSaintagne, Christopher W. Dick, Myriam Heuertz

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Demography at different scales in the widespreadtropical species Symphonia globulifera (Clusiaceae)

Paloma Torroba‐Balmori, Thomas L. Parchman, Katharina B. Budde, KatrinHeer, Santiago C. González‐Martínez, Caroline Scotti‐Saintagne, Christopher W. Dick, Myriam Heuertz

Local genetic drift Gene dispersal abilitiesLocal selective processes

Fine‐scale SGS within populations 

Introduction

Non‐random distribution of genotypes:spatial genetic structure (SGS)

Demographic processes and divergence in populations

Barriers to gene flowDistanceAdaptation

Wide‐range SGS among populations

Maindrivers

Sampled distribution range in S. globulifera along different studies

The species Symphonia globulifera (Clusiaceae)

Cambium/latex

• Widespread late‐successional rainforest tree Afro‐ and Neotropics

• “Living fossil”: pollen fossils of 45 Ma in the Niger delta, fossils of at least 15‐18 Ma in Mesoamerica, 15 Ma in South America

• High ecological amplitude: rainfall of 650–2100 mm, 0 ‐ 2600 m a.s.l. 

• Hermaphroditic, fleshy drupes  animal pollination and seed dispersal

• Different morphotypes in several regions

America Africa

Markers: ‐ 6 Nuclear SSR:  SG03, SG10, SG18, SG19, SGC4, SG06‐ Plastid DNA‐Sequences (cpDNA intergenic spacer: psbA‐trnH)

The within‐population SGS

X‐coord

Y‐coord

different gene pools

gene

ticsim

ilarity

spatial distance0

0

Drift‐dispersal equilibrium?(genetic similarity decreases with distance, IBD theory)

Within‐population spatial discontinuities in allele 

frequencies?1. Is within‐population SGS significant? 

VS.

2. Are there any similarities in the strength and patterns of SGS in groups of populations due to common drivers?

Hypothesis

SGS Patterns

Topographic features

isolation by environment

assortative mating

behaviour of dispersers

secondary contact

mutual influence

SGS assessment

Markers:

SGS maternally inherited >> SGS biparentally inherited

Continents:

‐> Higher SGS in Africa: gene flow is more restricted

‐> Weaker SGS in America

AfricaAmerica

Sp SSR

0.00

00.

010

0.02

00.

030

Sp cpDNA

0.0

0.1

0.2

0.3

0.4

BCI

Yasuní

ItuberáParacou

São Tomé

Nkong

Mekak

Mbikiliki

America SSR Sp = 0.0116***Africa SSR Sp = 0.0223***

Sp = ‐b/(Fij(1)‐1) Sp statistic quantifies the SGS strength

(Vekemans & Hardy 2004) Sp cpDNA

Sp SSR

0

0.03

0

0.4

ns

ns

‐ Topography:  

altitudinal sampling range = 365‐1225 m complex relief

‐ Communities of dispersers:

Visitors Functionhummingbirds pollinatorperching birds pollinatorlepidoptera pollinatorbees pollinatorscatter‐hoarding rodents Seed disp.

nocturnal arboreal mammals Seed disp.monkeys Seed disp.tapirs Seed disp.bats Seed disp.

Similarities in groups of populations

‐ Topography:  

altitudinal sampling range = 25‐72 m

‐ Communities of dispersers:

wide‐range seed dispersers(several km)

America Africa

Visitors Functionsunbirds pollinatormonkeys Seed d.ruminants Seed d.hornbills Seed d.

A wider‐ranging seed dispersal in America:flat topography & long‐range dispersers (bats, tapirs)

Mbikiliki Nkong Mekak

Cytonucleardisequilibrium

STRUCTURE:

%pure ind (q>87%) when K>1:>50% in Africa<8% in America

FST(q≥0.5) among GP:America  <0 .08Africa >0.08

Africa

GP

GP

H

H

+

+

secondary contact

Bayesian clustering analysis 

Ituberá

Paracou

America

Yasuni

Distribution of ancestrycoefficients suggestscontinuous admixture

Absence of gene pools

No cytonuclear disequilibrium

Country Population Sample Size

Cameroon Mbikiliki 66Nkong Mekak 65Korup 20

Benin Porto Novo 20Gabon Ngounié 20São Tomé Island 42Brazil Ituberá 65

French Guiana Paracou 66Regina 20

Two morphotypes

Genotyping by sequencingProtocol in Parchman et al. (2012)

‐The “ novo assembly “‐ Assembly with the reference (5‐base mismatch)

‐ 1 SNP per contig

The wide‐range genetic structure between continents

Genotype probabilities:Number of reads

Presence of both alleles

4921 SNPs in 367 individuals huge divergence among gene 

pools

colonization history?

K=2

K=9

ENTROPY plots: similar to STRUCTURE

Benin & Sao Tomé:  GP influence from both

continents

Dispersal betweencontinents?

French Guiana: genetic diferentiationbetween morphotypes

Mbikiliki & Nkong Mekak(Cameroon, 48 km dist): the same GP

Gabon: admixture of GPs

AfricaAmerica

Paracou _ S. globuliferaRegina _ S. globuliferaAlternative morphotype

Benin

Sao Tome

Paracou

Regina

Itubera

Neighbour‐joining tree: genetic distance of Neis´s D

Genetic distance increases with geographic distance

Treemix

‐American lineagesmore recent

‐The alternative morphotype (French Guiana)Ituberá

Africa America

Africa

America

Paracou_Regina_alternative

Regina_Sglo

Paracou_Sglo

ItuberáSao Tomé

Benin

Korup

GabonNkong Mekak

Mbikiliki

Tree representing drift among populations from a rootBased on population allele frequencies

SNAPP

more related

Coalescence modelSpecies tree based on SNPs3 ind. / population

Detection of loci under selection:

19 Climate variables + lat/long/alt (4 PC): Worldclim data

15 Soil variables (4 PC): FAO data

Climate+soil variables (5 PC)

Significant loci: q‐value <0.05

Preliminary results:Bayescan 277 loci

Bayescenv 164 loci(161 already in Bayescan)

No. significant

loci

Next: LFMM software

Conclusions

SGS at fine scale : wide diversity of SGS patterns within S. globulifera populations

NO generalization of genetic structure patterns at fine scales from a limited number of populations in widespread species 

SGS at wide scale :deeper insight into the macroevolutionary process

promoting the current wide distribution of S. globulifera

Thank you!• Collaborators who helped with sampling• Plan Nacional I+D+i, Spain• FPU grant from Spanish goverment• EVOLTREE travel grant for the conference

• YOU for your attention

Paloma Torroba‐[email protected]