Cargando…
Sex-Biased Evolutionary Forces Shape Genomic Patterns of Human Diversity
Comparisons of levels of variability on the autosomes and X chromosome can be used to test hypotheses about factors influencing patterns of genomic variation. While a tremendous amount of nucleotide sequence data from across the genome is now available for multiple human populations, there has been...
Autores principales: | , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2538571/ https://www.ncbi.nlm.nih.gov/pubmed/18818765 http://dx.doi.org/10.1371/journal.pgen.1000202 |
_version_ | 1782159125927428096 |
---|---|
author | Hammer, Michael F. Mendez, Fernando L. Cox, Murray P. Woerner, August E. Wall, Jeffrey D. |
author_facet | Hammer, Michael F. Mendez, Fernando L. Cox, Murray P. Woerner, August E. Wall, Jeffrey D. |
author_sort | Hammer, Michael F. |
collection | PubMed |
description | Comparisons of levels of variability on the autosomes and X chromosome can be used to test hypotheses about factors influencing patterns of genomic variation. While a tremendous amount of nucleotide sequence data from across the genome is now available for multiple human populations, there has been no systematic effort to examine relative levels of neutral polymorphism on the X chromosome versus autosomes. We analyzed ∼210 kb of DNA sequencing data representing 40 independent noncoding regions on the autosomes and X chromosome from each of 90 humans from six geographically diverse populations. We correct for differences in mutation rates between males and females by considering the ratio of within-human diversity to human-orangutan divergence. We find that relative levels of genetic variation are higher than expected on the X chromosome in all six human populations. We test a number of alternative hypotheses to explain the excess polymorphism on the X chromosome, including models of background selection, changes in population size, and sex-specific migration in a structured population. While each of these processes may have a small effect on the relative ratio of X-linked to autosomal diversity, our results point to a systematic difference between the sexes in the variance in reproductive success; namely, the widespread effects of polygyny in human populations. We conclude that factors leading to a lower male versus female effective population size must be considered as important demographic variables in efforts to construct models of human demographic history and for understanding the forces shaping patterns of human genomic variability. |
format | Text |
id | pubmed-2538571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-25385712008-09-26 Sex-Biased Evolutionary Forces Shape Genomic Patterns of Human Diversity Hammer, Michael F. Mendez, Fernando L. Cox, Murray P. Woerner, August E. Wall, Jeffrey D. PLoS Genet Research Article Comparisons of levels of variability on the autosomes and X chromosome can be used to test hypotheses about factors influencing patterns of genomic variation. While a tremendous amount of nucleotide sequence data from across the genome is now available for multiple human populations, there has been no systematic effort to examine relative levels of neutral polymorphism on the X chromosome versus autosomes. We analyzed ∼210 kb of DNA sequencing data representing 40 independent noncoding regions on the autosomes and X chromosome from each of 90 humans from six geographically diverse populations. We correct for differences in mutation rates between males and females by considering the ratio of within-human diversity to human-orangutan divergence. We find that relative levels of genetic variation are higher than expected on the X chromosome in all six human populations. We test a number of alternative hypotheses to explain the excess polymorphism on the X chromosome, including models of background selection, changes in population size, and sex-specific migration in a structured population. While each of these processes may have a small effect on the relative ratio of X-linked to autosomal diversity, our results point to a systematic difference between the sexes in the variance in reproductive success; namely, the widespread effects of polygyny in human populations. We conclude that factors leading to a lower male versus female effective population size must be considered as important demographic variables in efforts to construct models of human demographic history and for understanding the forces shaping patterns of human genomic variability. Public Library of Science 2008-09-26 /pmc/articles/PMC2538571/ /pubmed/18818765 http://dx.doi.org/10.1371/journal.pgen.1000202 Text en Hammer et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hammer, Michael F. Mendez, Fernando L. Cox, Murray P. Woerner, August E. Wall, Jeffrey D. Sex-Biased Evolutionary Forces Shape Genomic Patterns of Human Diversity |
title | Sex-Biased Evolutionary Forces Shape Genomic Patterns of Human Diversity |
title_full | Sex-Biased Evolutionary Forces Shape Genomic Patterns of Human Diversity |
title_fullStr | Sex-Biased Evolutionary Forces Shape Genomic Patterns of Human Diversity |
title_full_unstemmed | Sex-Biased Evolutionary Forces Shape Genomic Patterns of Human Diversity |
title_short | Sex-Biased Evolutionary Forces Shape Genomic Patterns of Human Diversity |
title_sort | sex-biased evolutionary forces shape genomic patterns of human diversity |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2538571/ https://www.ncbi.nlm.nih.gov/pubmed/18818765 http://dx.doi.org/10.1371/journal.pgen.1000202 |
work_keys_str_mv | AT hammermichaelf sexbiasedevolutionaryforcesshapegenomicpatternsofhumandiversity AT mendezfernandol sexbiasedevolutionaryforcesshapegenomicpatternsofhumandiversity AT coxmurrayp sexbiasedevolutionaryforcesshapegenomicpatternsofhumandiversity AT woernerauguste sexbiasedevolutionaryforcesshapegenomicpatternsofhumandiversity AT walljeffreyd sexbiasedevolutionaryforcesshapegenomicpatternsofhumandiversity |