Influence of late Quaternary climate change on present patterns of genetic variation in valley oak, Quercus lobata Née

Phylogeography and ecological niche models (ENMs) suggest that late Quaternary glacial cycles have played a prominent role in shaping present population genetic structure and diversity, but have not applied quantitative methods to dissect the relative contribution of past and present climate vs. oth...

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Published inMolecular ecology Vol. 22; no. 13; pp. 3598 - 3612
Main Authors Gugger, Paul F, Ikegami, Makihiko, Sork, Victoria L
Format Journal Article
LanguageEnglish
Published Oxford Blackwell Scientific Publications 01.07.2013
Blackwell Publishing Ltd
Blackwell
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Summary:Phylogeography and ecological niche models (ENMs) suggest that late Quaternary glacial cycles have played a prominent role in shaping present population genetic structure and diversity, but have not applied quantitative methods to dissect the relative contribution of past and present climate vs. other forces. We integrate multilocus phylogeography, climate‐based ENMs and multivariate statistical approaches to infer the effects of late Quaternary climate change on contemporary genetic variation of valley oak (Quercus lobata Née). ENMs indicated that valley oak maintained a stable distribution with local migration from the last interglacial period (~120 ka) to the Last Glacial Maximum (~21 ka, LGM) to the present compared with large‐scale range shifts for an eastern North American white oak (Quercus alba L.). Coast Range and Sierra Nevada foothill populations diverged in the late Pleistocene before the LGM [104 ka (28–1622)] and have occupied somewhat distinct climate niches, according to ENMs and coalescent analyses of divergence time. In accordance with neutral expectations for stable populations, nuclear microsatellite diversity positively correlated with niche stability from the LGM to present. Most strikingly, nuclear and chloroplast microsatellite variation significantly correlated with LGM climate, even after controlling for associations with geographic location and present climate using partial redundancy analyses. Variance partitioning showed that LGM climate uniquely explains a similar proportion of genetic variance as present climate (16% vs. 11–18%), and together, past and present climate explains more than geography (19%). Climate can influence local expansion–contraction dynamics, flowering phenology and thus gene flow, and/or impose selective pressures. These results highlight the lingering effect of past climate on genetic variation in species with stable distributions.
Bibliography:http://dx.doi.org/10.1111/mec.12317
Table S1 Correlation among independent variables used in general linear models to test the role of past niche suitability and stability on present genetic diversity. Table S2 Mean log likelihood (lnP(K)), its standard deviation (SD), and ΔK calculated from 10 replicates for each of 1-10 clusters (K) using a Bayesian clustering analysis implemented in structure. Table S3 Analyses of molecular variance based on Φ-statistics for nuclear microsatellite (nSSR) sample sites within structure clusters, chloroplast microsatellite (cpSSR) sites, and cpSSR baps clusters. Table S4 Percent contribution and permutation importance of each variable used to construct valley oak (Quercus lobata) ecological niche models in maxent. Table S5 Nuclear microsatellite (nSSR) allelic richness and heterozygosity, niche suitabilities, and niche stabilities by site for samples used in genetic analyses (additional sites were used to construct niche models). Fig. S1 Maps of genetic variation in valley oak showing haplotype distributions for (a) glyceraldehyde 3-phosphate dehydrogenase (g3pdh) and (b) elongation factor 1-α (ef1α). Fig. S2 Posterior distributions for per-locus mutation rate-scaled parameter estimates from the IMa2 run with the highest effective sample size. Fig. S3 Biplots of partial redundancy analyses of (a) nuclear microsatellite and (b) chloroplast microsatellite variation on Last Glacial Maximum (~21 ka) climate after controlling for present climate and geographic position.
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NSF-DEB - No. 0516529
ArticleID:MEC12317
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0962-1083
1365-294X
DOI:10.1111/mec.12317