Literature DB >> 11209764

Perspective: gene divergence, population divergence, and the variance in coalescence time in phylogeographic studies.

S V Edwards1, P Beerli.   

Abstract

Molecular methods as applied to the biogeography of single species (phylogeography) or multiple codistributed species (comparative phylogeography) have been productively and extensively used to elucidate common historical features in the diversification of the Earth's biota. However, only recently have methods for estimating population divergence times or their confidence limits while taking into account the critical effects of genetic polymorphism in ancestral species become available, and earlier methods for doing so are underutilized. We review models that address the crucial distinction between the gene divergence, the parameter that is typically recovered in molecular phylogeographic studies, and the population divergence, which is in most cases the parameter of interest and will almost always postdate the gene divergence. Assuming that population sizes of ancestral species are distributed similarly to those of extant species, we show that phylogeographic studies in vertebrates suggest that divergence of alleles in ancestral species can comprise from less than 10% to over 50% of the total divergence between sister species, suggesting that the problem of ancestral polymorphism in dating population divergence can be substantial. The variance in the number of substitutions (among loci for a given species or among species for a given gene) resulting from the stochastic nature of DNA change is generally smaller than the variance due to substitutions along allelic lines whose coalescence times vary due to genetic drift in the ancestral population. Whereas the former variance can be reduced by further DNA sequencing at a single locus, the latter cannot. Contrary to phylogeographic intuition, dating population divergence times when allelic lines have achieved reciprocal monophyly is in some ways more challenging than when allelic lines have not achieved monophyly, because in the former case critical data on ancestral population size provided by residual ancestral polymorphism is lost. In the former case differences in coalescence time between species pairs can in principle be explained entirely by differences in ancestral population size without resorting to explanations involving differences in divergence time. Furthermore, the confidence limits on population divergence times are severely underestimated when those for number of substitutions per site in the DNA sequences examined are used as a proxy. This uncertainty highlights the importance of multilocus data in estimating population divergence times; multilocus data can in principle distinguish differences in coalescence time (T) resulting from differences in population divergence time and differences in T due to differences in ancestral population sizes and will reduce the confidence limits on the estimates. We analyze the contribution of ancestral population size (theta) to T and the effect of uncertainty in theta on estimates of population divergence (tau) for single loci under reciprocal monophyly using a simple Bayesian extension of Takahata and Satta's and Yang's recent coalescent methods. The confidence limits on tau decrease when the range over which ancestral population size theta is assumed to be distributed decreases and when tau increases; they generally exclude zero when tau/(4Ne) > 1. We also apply a maximum-likelihood method to several single and multilocus data sets. With multilocus data, the criterion for excluding tau = 0 is roughly that l tau/(4Ne) > 1, where l is the number of loci. Our analyses corroborate recent suggestions that increasing the number of loci is critical to decreasing the uncertainty in estimates of population divergence time.

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Year:  2000        PMID: 11209764     DOI: 10.1111/j.0014-3820.2000.tb01231.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  156 in total

1.  Reconciling paleodistribution models and comparative phylogeography in the Wet Tropics rainforest land snail Gnarosophia bellendenkerensis (Brazier 1875).

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Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-23       Impact factor: 11.205

2.  Bayesian analysis of genetic differentiation between populations.

Authors:  Jukka Corander; Patrik Waldmann; Mikko J Sillanpää
Journal:  Genetics       Date:  2003-01       Impact factor: 4.562

3.  Isolation-driven divergence: speciation in a widespread North American songbird (Aves: Certhiidae).

Authors:  Joseph D Manthey; John Klicka; Garth M Spellman
Journal:  Mol Ecol       Date:  2011-09-21       Impact factor: 6.185

4.  Bayes estimation of species divergence times and ancestral population sizes using DNA sequences from multiple loci.

Authors:  Bruce Rannala; Ziheng Yang
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

5.  Ice sheets promote speciation in boreal birds.

Authors:  Jason T Weir; Dolph Schluter
Journal:  Proc Biol Sci       Date:  2004-09-22       Impact factor: 5.349

6.  The tempo of avian diversification during the Quaternary.

Authors:  Robert M Zink; John Klicka; Brian R Barber
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-02-29       Impact factor: 6.237

7.  iGLASS: an improvement to the GLASS method for estimating species trees from gene trees.

Authors:  Ethan M Jewett; Noah A Rosenberg
Journal:  J Comput Biol       Date:  2012-01-04       Impact factor: 1.479

8.  Two pulses of diversification across the Isthmus of Tehuantepec in a montane Mexican bird fauna.

Authors:  B R Barber; J Klicka
Journal:  Proc Biol Sci       Date:  2010-04-21       Impact factor: 5.349

Review 9.  Evolving entities: towards a unified framework for understanding diversity at the species and higher levels.

Authors:  Timothy G Barraclough
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-06-12       Impact factor: 6.237

10.  Phylogeographic patterns of mtDNA variation revealed multiple glacial refugia for the frog species Feirana taihangnica endemic to the Qinling Mountains.

Authors:  Bin Wang; Jianping Jiang; Feng Xie; Cheng Li
Journal:  J Mol Evol       Date:  2013-02-05       Impact factor: 2.395

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