Literature DB >> 23329688

Comparative population genomics of the ejaculate in humans and the great apes.

Jeffrey M Good1, Victor Wiebe, Frank W Albert, Hernán A Burbano, Martin Kircher, Richard E Green, Michel Halbwax, Claudine André, Rebeca Atencia, Anne Fischer, Svante Pääbo.   

Abstract

The rapid molecular evolution of reproductive genes is nearly ubiquitous across animals, yet the selective forces and functional targets underlying this divergence remain poorly understood. Humans and closely related species of great apes show strongly divergent mating systems, providing a powerful system to investigate the influence of sperm competition on the evolution of reproductive genes. This is complemented by detailed information on male reproductive biology and unparalleled genomic resources in humans. Here, we have used custom microarrays to capture and sequence 285 genes encoding proteins present in the ejaculate as well as 101 randomly selected control genes in 21 gorillas, 20 chimpanzees, 20 bonobos, and 20 humans. In total, we have generated >25× average genomic coverage per individual for over 1 million target base pairs. Our analyses indicate high levels of evolutionary constraint across much of the ejaculate combined with more rapid evolution of genes involved in immune defense and proteolysis. We do not find evidence for appreciably more positive selection along the lineage leading to bonobos and chimpanzees, although this would be predicted given more intense sperm competition in these species. Rather, the extent of positive and negative selection depended more on the effective population sizes of the species. Thus, general patterns of male reproductive protein evolution among apes and humans depend strongly on gene function but not on inferred differences in the intensity of sperm competition among extant species.

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Year:  2013        PMID: 23329688     DOI: 10.1093/molbev/mst005

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


  20 in total

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2.  The perils of intralocus recombination for inferences of molecular convergence.

Authors:  Fábio K Mendes; Andrew P Livera; Matthew W Hahn
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-03       Impact factor: 6.237

3.  Unlocking the vault: next-generation museum population genomics.

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Journal:  Mol Ecol       Date:  2013-10-07       Impact factor: 6.185

4.  Pulling out the 1%: whole-genome capture for the targeted enrichment of ancient DNA sequencing libraries.

Authors:  Meredith L Carpenter; Jason D Buenrostro; Cristina Valdiosera; Hannes Schroeder; Morten E Allentoft; Martin Sikora; Morten Rasmussen; Simon Gravel; Sonia Guillén; Georgi Nekhrizov; Krasimir Leshtakov; Diana Dimitrova; Nikola Theodossiev; Davide Pettener; Donata Luiselli; Karla Sandoval; Andrés Moreno-Estrada; Yingrui Li; Jun Wang; M Thomas P Gilbert; Eske Willerslev; William J Greenleaf; Carlos D Bustamante
Journal:  Am J Hum Genet       Date:  2013-10-25       Impact factor: 11.025

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Authors:  Kimberly R Andrews; Jeffrey M Good; Michael R Miller; Gordon Luikart; Paul A Hohenlohe
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Review 7.  Targeted capture in evolutionary and ecological genomics.

Authors:  Matthew R Jones; Jeffrey M Good
Journal:  Mol Ecol       Date:  2015-07-30       Impact factor: 6.185

8.  Functional divergence of oligoadenylate synthetase 1 (OAS1) proteins in Tetrapods.

Authors:  Xiaoxue Wang; Jiaxiang Hu; Linfei Song; Enguang Rong; Chenghuai Yang; Xiaoyun Chen; Juan Pu; Honglei Sun; Chuze Gao; David W Burt; Jinhua Liu; Ning Li; Yinhua Huang
Journal:  Sci China Life Sci       Date:  2021-11-19       Impact factor: 10.372

9.  A Nearly Neutral Model of Molecular Signatures of Natural Selection after Change in Population Size.

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Journal:  Genome Biol Evol       Date:  2022-05-03       Impact factor: 4.065

10.  Inferring the Frequency Spectrum of Derived Variants to Quantify Adaptive Molecular Evolution in Protein-Coding Genes of Drosophila melanogaster.

Authors:  Peter D Keightley; José L Campos; Tom R Booker; Brian Charlesworth
Journal:  Genetics       Date:  2016-04-20       Impact factor: 4.562

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