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      Widespread Genomic Signatures of Natural Selection in Hominid Evolution

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          Abstract

          Selection acting on genomic functional elements can be detected by its indirect effects on population diversity at linked neutral sites. To illuminate the selective forces that shaped hominid evolution, we analyzed the genomic distributions of human polymorphisms and sequence differences among five primate species relative to the locations of conserved sequence features. Neutral sequence diversity in human and ancestral hominid populations is substantially reduced near such features, resulting in a surprisingly large genome average diversity reduction due to selection of 19–26% on the autosomes and 12–40% on the X chromosome. The overall trends are broadly consistent with “background selection” or hitchhiking in ancestral populations acting to remove deleterious variants. Average selection is much stronger on exonic (both protein-coding and untranslated) conserved features than non-exonic features. Long term selection, rather than complex speciation scenarios, explains the large intragenomic variation in human/chimpanzee divergence. Our analyses reveal a dominant role for selection in shaping genomic diversity and divergence patterns, clarify hominid evolution, and provide a baseline for investigating specific selective events.

          Author Summary

          Comparisons of the human and chimpanzee genomes have revealed that the frequency of sequence differences between these species varies dramatically across the genome. Previously proposed explanations for this variation include a large ancestral population, variable mutation rates, or a complex speciation scenario in which humans and chimpanzees initially separated but then rehybridyzed several million years later. We consider, here, an alternate possibility; the action of selection to remove less-fit functional variants from a population has significantly reduced the frequency of “neutral” sequence differences at nearby sites. We identified sequences that are likely to be subject to natural selection because they are highly conserved across placental mammals and showed that neutral differences among five primate species are greatly depleted near such sequences. Applying a theoretical evolutionary model, we found that selection has played a greater role in shaping hominid genome evolution than has been appreciated and provides a better explanation for patterns of sequence differences than other hypotheses.

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          Human-mouse alignments with BLASTZ.

          The Mouse Genome Analysis Consortium aligned the human and mouse genome sequences for a variety of purposes, using alignment programs that suited the various needs. For investigating issues regarding genome evolution, a particularly sensitive method was needed to permit alignment of a large proportion of the neutrally evolving regions. We selected a program called BLASTZ, an independent implementation of the Gapped BLAST algorithm specifically designed for aligning two long genomic sequences. BLASTZ was subsequently modified, both to attain efficiency adequate for aligning entire mammalian genomes and to increase its sensitivity. This work describes BLASTZ, its modifications, the hardware environment on which we run it, and several empirical studies to validate its results.
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            Evolutionary and biomedical insights from the rhesus macaque genome.

            The rhesus macaque (Macaca mulatta) is an abundant primate species that diverged from the ancestors of Homo sapiens about 25 million years ago. Because they are genetically and physiologically similar to humans, rhesus monkeys are the most widely used nonhuman primate in basic and applied biomedical research. We determined the genome sequence of an Indian-origin Macaca mulatta female and compared the data with chimpanzees and humans to reveal the structure of ancestral primate genomes and to identify evidence for positive selection and lineage-specific expansions and contractions of gene families. A comparison of sequences from individual animals was used to investigate their underlying genetic diversity. The complete description of the macaque genome blueprint enhances the utility of this animal model for biomedical research and improves our understanding of the basic biology of the species.
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              The hitch-hiking effect of a favourable gene.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                May 2009
                May 2009
                8 May 2009
                : 5
                : 5
                : e1000471
                Affiliations
                [1 ]Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
                [2 ]Howard Hughes Medical Institute, University of Washington, Seattle, Washington, United States of America
                University of Arizona, United States of America
                Author notes

                Conceived and designed the experiments: GM PG. Performed the experiments: GM CD PG. Analyzed the data: GM DG PG. Contributed reagents/materials/analysis tools: DG. Wrote the paper: GM PG.

                Article
                08-PLGE-RA-1562R2
                10.1371/journal.pgen.1000471
                2669884
                19424416
                0e291595-0b04-4c0b-a1af-f9b4bfef22ed
                McVicker et al. 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 credited.
                History
                : 18 November 2008
                : 7 April 2009
                Page count
                Pages: 16
                Categories
                Research Article
                Computational Biology
                Computational Biology/Comparative Sequence Analysis
                Computational Biology/Evolutionary Modeling
                Computational Biology/Genomics
                Computational Biology/Molecular Genetics
                Computational Biology/Population Genetics
                Evolutionary Biology/Bioinformatics
                Evolutionary Biology/Evolutionary and Comparative Genetics
                Evolutionary Biology/Genomics
                Evolutionary Biology/Human Evolution
                Genetics and Genomics
                Genetics and Genomics/Bioinformatics
                Genetics and Genomics/Comparative Genomics
                Molecular Biology/Bioinformatics
                Molecular Biology/Molecular Evolution

                Genetics
                Genetics

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