The Time Scale of Recombination Rate Evolution in Great Apes
Laurie S. Stevison *,1,2, August E. Woerner 3,4, Jeffrey M. Kidd 5,6, Joanna L. Kelley 7,8, Krishna R. Veeramah 3,9, Kimberly F. McManus 10,11, Great Ape Genome Project 12, Carlos D. Bustamante 8, Michael F. Hammer 3,13,14 and Jeffrey D. Wall *,1,15
+ Author Affiliations
1Institute for Human Genetics, University of California San Francisco
2Department of Biological Sciences, Auburn University
3Arizona Research Laboratories, Division of Biotechnology, University of Arizona
4Department of Genetics, University of Arizona
5Department of Human Genetics, University of Michigan
6Department of Computational Medicine & Bioinformatics, University of Michigan
7School of Biological Sciences, Washington State University
8Department of Genetics, Stanford University
9Department of Ecology and Evolution, Stony Brook University
10Department of Biology, Stanford University
11Department of Biomedical Informatics, Stanford University
12Great Ape Genome Project, contributors Listed in Supplement
13Department of Ecology and Evolutionary Biology, University of Arizona
14Department of Anthropology, University of Arizona
15Department of Epidemiology & Biostatistics, University of California San Francisco
↵*Corresponding author: E-mail: firstname.lastname@example.org; email@example.com.
Received May 24, 2015. Revision received November 19, 2015. Accepted November 23, 2015.
We present three linkage-disequilibrium (LD)-based recombination maps generated using whole-genome sequence data from 10 Nigerian chimpanzees, 13 bonobos, and 15 western gorillas, collected as part of the Great Ape Genome Project (Prado-Martinez J, et al. 2013. Great ape genetic diversity and population history. Nature 499:471–475). We also identified species-specific recombination hotspots in each group using a modified LDhot framework, which greatly improves statistical power to detect hotspots at varying strengths. We show that fewer hotspots are shared among chimpanzee subspecies than within human populations, further narrowing the time scale of complete hotspot turnover. Further, using species-specific PRDM9 sequences to predict potential binding sites (PBS), we show higher predicted PRDM9 binding in recombination hotspots as compared to matched cold spot regions in multiple great ape species, including at least one chimpanzee subspecies. We found that correlations between broad-scale recombination rates decline more rapidly than nucleotide divergence between species. We also compared the skew of recombination rates at centromeres and telomeres between species and show a skew from chromosome means extending as far as 10–15 Mb from chromosome ends. Further, we examined broad-scale recombination rate changes near a translocation in gorillas and found minimal differences as compared to other great ape species perhaps because the coordinates relative to the chromosome ends were unaffected. Finally, on the basis of multiple linear regression analysis, we found that various correlates of recombination rate persist throughout the African great apes including repeats, diversity, and divergence. Our study is the first to analyze within- and between-species genome-wide recombination rate variation in several close relatives.
Key words recombination PRDM9 hotspots primates
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