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      Complex Evolutionary History With Extensive Ancestral Gene Flow in an African Primate Radiation

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          Abstract

          Understanding the drivers of speciation is fundamental in evolutionary biology, and recent studies highlight hybridization as an important evolutionary force. Using whole-genome sequencing data from 22 species of guenons (tribe Cercopithecini), one of the world's largest primate radiations, we show that rampant gene flow characterizes their evolutionary history and identify ancient hybridization across deeply divergent lineages that differ in ecology, morphology, and karyotypes. Some hybridization events resulted in mitochondrial introgression between distant lineages, likely facilitated by cointrogression of coadapted nuclear variants. Although the genomic landscapes of introgression were largely lineage specific, we found that genes with immune functions were overrepresented in introgressing regions, in line with adaptive introgression, whereas genes involved in pigmentation and morphology may contribute to reproductive isolation. In line with reports from other systems that hybridization might facilitate diversification, we find that some of the most species-rich guenon clades are of admixed origin. This study provides important insights into the prevalence, role, and outcomes of ancestral hybridization in a large mammalian radiation.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Trimmomatic: a flexible trimmer for Illumina sequence data

            Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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              Gene Ontology: tool for the unification of biology

              Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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                Author and article information

                Contributors
                Role: Associate Editor
                Journal
                Mol Biol Evol
                Mol Biol Evol
                molbev
                Molecular Biology and Evolution
                Oxford University Press (US )
                0737-4038
                1537-1719
                December 2023
                21 November 2023
                21 November 2023
                : 40
                : 12
                : msad247
                Affiliations
                Department of Ecology and Genetics, Animal Ecology, Uppsala University , Uppsala SE-75236, Sweden
                School of Biological Sciences, Institute of Ecology and Evolution, University of Edinburgh , Edinburgh, UK
                School of Science, Engineering & Environment, University of Salford , Salford M5 4WT, UK
                School of Science, Engineering & Environment, University of Salford , Salford M5 4WT, UK
                Illumina Artificial Intelligence Laboratory, Illumina Inc. , Foster City, CA 94404, USA
                Institute of International Animal Health/One Health, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health , Greifswald – Insel Riems 17493, Germany
                Tanzania National Parks , Arusha, Tanzania
                Tanzania Wildlife Research Institute (TAWIRI) , Arusha, Tanzania
                Department of Natural Sciences, National Museums Scotland , Edinburgh EH1 1JF, UK
                School of Geosciences , University of Edinburgh, Edinburgh EH8 9XP, UK
                Illumina Artificial Intelligence Laboratory, Illumina Inc. , Foster City, CA 94404, USA
                Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine , Houston, TX 77030, USA
                Institute of Evolutionary Biology (UPF-CSIC), PRBB , Barcelona 08003, Spain
                Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona , Barcelona, Spain
                Catalan Institution of Research and Advanced Studies (ICREA) , Barcelona, Spain
                CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST) , Barcelona 08028, Spain
                Institució Catalana de Recerca i Estudis Avançats (ICREA) and Universitat Pompeu Fabra , Barcelona 08010, Spain
                Department of Biological Sciences, Florida Atlantic University , Boca Raton, FL, USA
                Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research , Göttingen 37077, Germany
                Department of Ecology and Genetics, Animal Ecology, Uppsala University , Uppsala SE-75236, Sweden
                School of Biological Sciences, Institute of Ecology and Evolution, University of Edinburgh , Edinburgh, UK
                Author notes

                Conflict of interest statement. Employees of Illumina, Inc. are indicated in the list of author affiliations. All other authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-1766-560X
                https://orcid.org/0000-0003-2594-0827
                https://orcid.org/0000-0002-7374-6490
                https://orcid.org/0000-0002-8493-5457
                Article
                msad247
                10.1093/molbev/msad247
                10691879
                37987553
                763631cc-ea9a-4a65-8163-9668d431af02
                © The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 05 July 2023
                : 17 October 2023
                : 09 November 2023
                Page count
                Pages: 19
                Funding
                Funded by: Swedish Research Council, DOI 10.13039/501100004359;
                Categories
                Discoveries
                AcademicSubjects/SCI01130
                AcademicSubjects/SCI01180

                Molecular biology
                phylogenomics,speciation,ancient hybridization,evolutionary genomics,mammalian radiation,guenon

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