Distance from Sub-Saharan Africa Predicts Mutational Load in Diverse Human Genomes


Autoria(s): Henn, Brenna M.; Botigué, Laura R.; Peischl, Stephan; Duperret, Isabelle; Lipatov, Mikhail; Maples, Brian K.; Martin, Alicia R.; Musharoff, Shaila; Cann, Howard; Snyder, Michael P.; Excoffier, Laurent; Kidd, Jeffrey M.; Bustamante, Carlos D.
Data(s)

2016

Resumo

The Out-of-Africa (OOA) dispersal ∼50,000 y ago is characterized by a series of founder events as modern humans expanded into multiple continents. Population genetics theory predicts an increase of mutational load in populations undergoing serial founder effects during range expansions. To test this hypothesis, we have sequenced full genomes and high-coverage exomes from seven geographically divergent human populations from Namibia, Congo, Algeria, Pakistan, Cambodia, Siberia, and Mexico. We find that individual genomes vary modestly in the overall number of predicted deleterious alleles. We show via spatially explicit simulations that the observed distribution of deleterious allele frequencies is consistent with the OOA dispersal, particularly under a model where deleterious mutations are recessive. We conclude that there is a strong signal of purifying selection at conserved genomic positions within Africa, but that many predicted deleterious mutations have evolved as if they were neutral during the expansion out of Africa. Under a model where selection is inversely related to dominance, we show that OOA populations are likely to have a higher mutation load due to increased allele frequencies of nearly neutral variants that are recessive or partially recessive.

Formato

application/pdf

Identificador

http://boris.unibe.ch/79894/1/PNAS.pdf

Henn, Brenna M.; Botigué, Laura R.; Peischl, Stephan; Duperret, Isabelle; Lipatov, Mikhail; Maples, Brian K.; Martin, Alicia R.; Musharoff, Shaila; Cann, Howard; Snyder, Michael P.; Excoffier, Laurent; Kidd, Jeffrey M.; Bustamante, Carlos D. (2016). Distance from Sub-Saharan Africa Predicts Mutational Load in Diverse Human Genomes. Proceedings of the National Academy of Sciences of the United States of America - PNAS, 113(4), E440-E449. National Academy of Sciences NAS 10.1073/pnas.1510805112 <http://dx.doi.org/10.1073/pnas.1510805112>

doi:10.7892/boris.79894

info:doi:10.1073/pnas.1510805112

info:pmid:26712023

urn:issn:0027-8424

Idioma(s)

eng

Publicador

National Academy of Sciences NAS

Relação

http://boris.unibe.ch/79894/

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Henn, Brenna M.; Botigué, Laura R.; Peischl, Stephan; Duperret, Isabelle; Lipatov, Mikhail; Maples, Brian K.; Martin, Alicia R.; Musharoff, Shaila; Cann, Howard; Snyder, Michael P.; Excoffier, Laurent; Kidd, Jeffrey M.; Bustamante, Carlos D. (2016). Distance from Sub-Saharan Africa Predicts Mutational Load in Diverse Human Genomes. Proceedings of the National Academy of Sciences of the United States of America - PNAS, 113(4), E440-E449. National Academy of Sciences NAS 10.1073/pnas.1510805112 <http://dx.doi.org/10.1073/pnas.1510805112>

Palavras-Chave #570 Life sciences; biology
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

PeerReviewed