Literature DB >> 10670957

A simple method of removing the effect of a bottleneck and unequal population sizes on pairwise genetic distances.

O E Gaggiotti1, L Excoffier.   

Abstract

In this paper, we derive the expectation of two popular genetic distances under a model of pure population fission allowing for unequal population sizes. Under the model, we show that conventional genetic distances are not proportional to the divergence time and generally overestimate it due to unequal genetic drift and to a bottleneck effect at the divergence time. This bias cannot be totally removed even if the present population sizes are known. Instead, we present a method to estimate the divergence times between populations which is based on the average number of nucleotide differences within and between populations. The method simultaneously estimates the divergence time, the ancestral population size and the relative sizes of the derived populations. A simulation study revealed that this method is essentially unbiased and that it leads to better estimates than traditional approaches for a very wide range of parameter values. Simulations also indicated that moderate population growth after divergence has little effect on the estimates of all three estimated parameters. An application of our method to a comparison of humans and chimpanzee mitochondrial DNA diversity revealed that common chimpanzees have a significantly larger female population size than humans.

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Year:  2000        PMID: 10670957      PMCID: PMC1690496          DOI: 10.1098/rspb.2000.0970

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  24 in total

1.  Mitochondrial sequences show diverse evolutionary histories of African hominoids.

Authors:  P Gagneux; C Wills; U Gerloff; D Tautz; P A Morin; C Boesch; B Fruth; G Hohmann; O A Ryder; D S Woodruff
Journal:  Proc Natl Acad Sci U S A       Date:  1999-04-27       Impact factor: 11.205

2.  Effect of changes in population size on genetic microdifferentiation.

Authors:  J H Relethford
Journal:  Hum Biol       Date:  1991-10       Impact factor: 0.553

3.  Hierarchical analysis of nucleotide diversity in geographically structured populations.

Authors:  K E Holsinger; R J Mason-Gamer
Journal:  Genetics       Date:  1996-02       Impact factor: 4.562

4.  Estimating ancestral population parameters.

Authors:  J Wakeley; J Hey
Journal:  Genetics       Date:  1997-03       Impact factor: 4.562

5.  A measure of population subdivision based on microsatellite allele frequencies.

Authors:  M Slatkin
Journal:  Genetics       Date:  1995-01       Impact factor: 4.562

6.  Maximum likelihood estimation of the number of nucleotide substitutions from restriction sites data.

Authors:  M Nei; F Tajima
Journal:  Genetics       Date:  1983-09       Impact factor: 4.562

7.  Gene genealogy and variance of interpopulational nucleotide differences.

Authors:  N Takahata; M Nei
Journal:  Genetics       Date:  1985-06       Impact factor: 4.562

8.  How can we infer geography and history from gene frequencies?

Authors:  J Felsenstein
Journal:  J Theor Biol       Date:  1982-05-07       Impact factor: 2.691

9.  Substitution rate variation among sites in mitochondrial hypervariable region I of humans and chimpanzees.

Authors:  L Excoffier; Z Yang
Journal:  Mol Biol Evol       Date:  1999-10       Impact factor: 16.240

10.  Man's place in Hominoidea revealed by mitochondrial DNA genealogy.

Authors:  S Horai; Y Satta; K Hayasaka; R Kondo; T Inoue; T Ishida; S Hayashi; N Takahata
Journal:  J Mol Evol       Date:  1992-07       Impact factor: 2.395

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  12 in total

1.  Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach.

Authors:  P Beerli; J Felsenstein
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-03       Impact factor: 11.205

2.  Geographic range size and evolutionary age in birds.

Authors:  T J Webb; K J Gaston
Journal:  Proc Biol Sci       Date:  2000-09-22       Impact factor: 5.349

Review 3.  Computer simulations: tools for population and evolutionary genetics.

Authors:  Sean Hoban; Giorgio Bertorelle; Oscar E Gaggiotti
Journal:  Nat Rev Genet       Date:  2012-01-10       Impact factor: 53.242

4.  The herring gull complex is not a ring species.

Authors:  Dorit Liebers; Peter de Knijff; Andreas J Helbig
Journal:  Proc Biol Sci       Date:  2004-05-07       Impact factor: 5.349

5.  Phylogeography, genetic structure and population divergence time of cheetahs in Africa and Asia: evidence for long-term geographic isolates.

Authors:  P Charruau; C Fernandes; P Orozco-Terwengel; J Peters; L Hunter; H Ziaie; A Jourabchian; H Jowkar; G Schaller; S Ostrowski; P Vercammen; T Grange; C Schlötterer; A Kotze; E-M Geigl; C Walzer; P A Burger
Journal:  Mol Ecol       Date:  2011-01-08       Impact factor: 6.185

6.  Bottlenecks drive temporal and spatial genetic changes in alpine caddisfly metapopulations.

Authors:  Lisa N S Shama; Karen B Kubow; Jukka Jokela; Christopher T Robinson
Journal:  BMC Evol Biol       Date:  2011-09-27       Impact factor: 3.260

7.  Stratified dispersal and increasing genetic variation during the invasion of Central Europe by the western corn rootworm, Diabrotica virgifera virgifera.

Authors:  M Ciosi; N J Miller; S Toepfer; A Estoup; T Guillemaud
Journal:  Evol Appl       Date:  2010-06-07       Impact factor: 5.183

8.  Arlequin (version 3.0): an integrated software package for population genetics data analysis.

Authors:  Laurent Excoffier; Guillaume Laval; Stefan Schneider
Journal:  Evol Bioinform Online       Date:  2007-02-23       Impact factor: 1.625

9.  Composite likelihood estimation of demographic parameters.

Authors:  Daniel Garrigan
Journal:  BMC Genet       Date:  2009-11-12       Impact factor: 2.797

10.  Crater Lake Apoyo revisited--population genetics of an emerging species flock.

Authors:  Matthias F Geiger; Jeffrey K McCrary; Ulrich K Schliewen
Journal:  PLoS One       Date:  2013-09-23       Impact factor: 3.240

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