Literature DB >> 22319141

Resequencing data provide no evidence for a human bottleneck in Africa during the penultimate glacial period.

Per Sjödin1, Agnès E Sjöstrand, Mattias Jakobsson, Michael G B Blum.   

Abstract

Based on the accumulation of genetic, climatic, and fossil evidence, a central theory in paleoanthropology stipulates that a demographic bottleneck coincided with the origin of our species Homo Sapiens. This theory proposes that anatomically modern humans--which were only present in Africa at the time--experienced a drastic bottleneck during the penultimate glacial age (130-190 kya) when a cold and dry climate prevailed. Two scenarios have been proposed to describe the bottleneck, which involve either a fragmentation of the range occupied by humans or the survival of one small group of humans. Here, we analyze DNA sequence data from 61 nuclear loci sequenced in three African populations using Approximate Bayesian Computation and numerical simulations. In contrast to the bottleneck theory, we show that a simple model without any bottleneck during the penultimate ice age has the greatest statistical support compared with bottleneck models. Although the proposed bottleneck is ancient, occurring at least 130 kya, we can discard the possibility that it did not leave detectable footprints in the DNA sequence data except if the bottleneck involves a less than a 3-fold reduction in population size. Finally, we confirm that a simple model without a bottleneck is able to reproduce the main features of the observed patterns of genetic variation. We conclude that models of Pleistocene refugium for modern human origins now require substantial revision.

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Year:  2012        PMID: 22319141     DOI: 10.1093/molbev/mss061

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  7 in total

Review 1.  Inferring population size changes with sequence and SNP data: lessons from human bottlenecks.

Authors:  L M Gattepaille; M Jakobsson; M G B Blum
Journal:  Heredity (Edinb)       Date:  2013-02-20       Impact factor: 3.821

2.  Robust demographic inference from genomic and SNP data.

Authors:  Laurent Excoffier; Isabelle Dupanloup; Emilia Huerta-Sánchez; Vitor C Sousa; Matthieu Foll
Journal:  PLoS Genet       Date:  2013-10-24       Impact factor: 5.917

3.  Back to BaySICS: a user-friendly program for Bayesian Statistical Inference from Coalescent Simulations.

Authors:  Edson Sandoval-Castellanos; Eleftheria Palkopoulou; Love Dalén
Journal:  PLoS One       Date:  2014-05-27       Impact factor: 3.240

4.  Inferring Bottlenecks from Genome-Wide Samples of Short Sequence Blocks.

Authors:  Lynsey Bunnefeld; Laurent A F Frantz; Konrad Lohse
Journal:  Genetics       Date:  2015-09-03       Impact factor: 4.562

5.  X-linked MTMR8 diversity and evolutionary history of sub-Saharan populations.

Authors:  Damian Labuda; Vania Yotova; Jean-François Lefebvre; Claudia Moreau; Gerd Utermann; Scott M Williams
Journal:  PLoS One       Date:  2013-11-25       Impact factor: 3.240

6.  Genetic variation reveals large-scale population expansion and migration during the expansion of Bantu-speaking peoples.

Authors:  Sen Li; Carina Schlebusch; Mattias Jakobsson
Journal:  Proc Biol Sci       Date:  2014-09-10       Impact factor: 5.349

7.  Comparison of Single Genome and Allele Frequency Data Reveals Discordant Demographic Histories.

Authors:  Annabel C Beichman; Tanya N Phung; Kirk E Lohmueller
Journal:  G3 (Bethesda)       Date:  2017-11-06       Impact factor: 3.154

  7 in total

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