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Inference of Gorilla demographic and selective history from whole genome sequence data

View ORCID ProfileKimberly F. McManus, View ORCID ProfileJoanna L. Kelley, View ORCID ProfileShiya Song, View ORCID ProfileKrishna Veeramah, View ORCID ProfileAugust E. Woerner, View ORCID ProfileLaurie S. Stevison, View ORCID ProfileOliver A. Ryder, View ORCID ProfileJeffrey M. Kidd, View ORCID ProfileJeffrey D. Wall, View ORCID ProfileCarlos D. Bustamante, View ORCID ProfileMichael F. Hammer
doi: https://doi.org/10.1101/009191
Kimberly F. McManus
1Department of Biology, Stanford University, Stanford CA 94305
2Department of Biomedical Informatics, Stanford University, Stanford CA 94305
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Joanna L. Kelley
3Department of Genetics, Stanford University, Stanford CA 94305
4School of Biological Sciences, Washington State University, Pullman WA 642812
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Shiya Song
5Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor MI 48109
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Krishna Veeramah
7ARL Division of Biotechnology, University of Arizona, Tucson AZ 85721
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August E. Woerner
7ARL Division of Biotechnology, University of Arizona, Tucson AZ 85721
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Laurie S. Stevison
8Institute for Human Genetics, University of California San Francisco, San Francisco CA 94143
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Oliver A. Ryder
9San Diego Zoo Institute for Conservation Research, San Diego Zoo Global, Escondido, CA 92027
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Jeffrey M. Kidd
5Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor MI 48109
6Department of Human Genetics, University of Michigan, Ann Arbor MI 48109
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  • For correspondence: jmkidd@med.umich.edu mfh@email.arizona.edu
Jeffrey D. Wall
8Institute for Human Genetics, University of California San Francisco, San Francisco CA 94143
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Carlos D. Bustamante
3Department of Genetics, Stanford University, Stanford CA 94305
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Michael F. Hammer
7ARL Division of Biotechnology, University of Arizona, Tucson AZ 85721
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  • For correspondence: jmkidd@med.umich.edu mfh@email.arizona.edu
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Abstract

While population-level genomic sequence data have been gathered extensively for humans, similar data from our closest living relatives are just beginning to emerge. Examination of genomic variation within great apes offers many opportunities to increase our understanding of the forces that have differentially shaped the evolutionary history of hominid taxa. Here, we expand upon the work of the Great Ape Genome Project by analyzing medium to high coverage whole genome sequences from 14 western lowland gorillas (Gorilla gorilla gorilla), 2 eastern lowland gorillas (G. beringei graueri), and a single Cross River individual (G. gorilla diehli). We infer that the ancestors of western and eastern lowland gorillas diverged from a common ancestor ∼261 thousand years ago (kya), and that the ancestors of the Cross River population diverged from the western lowland gorilla lineage ∼68 kya. Using a diffusion approximation approach to model the genome-wide site frequency spectrum, we infer a history of western lowland gorillas that includes an ancestral population expansion of ∼1.4-fold around ∼970 kya and a recent ∼5.6-fold contraction in population size ∼23 kya. The latter may correspond to a major reduction in African equatorial forests around the Last Glacial Maximum. We also analyze patterns of variation among western lowland gorillas to identify several genomic regions with strong signatures of recent selective sweeps. We find that processes related to taste, pancreatic and saliva secretion, sodium ion transmembrane transport, and cardiac muscle function are overrepresented in genomic regions predicted to have experienced recent positive selection.

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Posted September 17, 2014.
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Inference of Gorilla demographic and selective history from whole genome sequence data
Kimberly F. McManus, Joanna L. Kelley, Shiya Song, Krishna Veeramah, August E. Woerner, Laurie S. Stevison, Oliver A. Ryder, Jeffrey M. Kidd, Jeffrey D. Wall, Carlos D. Bustamante, Michael F. Hammer
bioRxiv 009191; doi: https://doi.org/10.1101/009191
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Inference of Gorilla demographic and selective history from whole genome sequence data
Kimberly F. McManus, Joanna L. Kelley, Shiya Song, Krishna Veeramah, August E. Woerner, Laurie S. Stevison, Oliver A. Ryder, Jeffrey M. Kidd, Jeffrey D. Wall, Carlos D. Bustamante, Michael F. Hammer
bioRxiv 009191; doi: https://doi.org/10.1101/009191

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