14
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Balancing selection maintains hyper-divergent haplotypes in C. elegans

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Across diverse taxa, selfing species have evolved independently from outcrossing species thousands of times. The transition from outcrossing to selfing significantly decreases the effective population size, effective recombination rate, and heterozygosity within a species. These changes lead to a reduction in genetic diversity, and therefore adaptive potential, by intensifying the effects of random genetic drift and linked selection. Within the nematode genus Caenorhabditis, selfing has evolved at least three times and all three species, including in the model organism Caenorhabditis elegans, show substantially reduced genetic diversity relative to outcrossing species. Selfing and outcrossing Caenorhabditis species are often found in the same niches, but we still do not know how selfing species with limited genetic diversity can adapt to these environments. Here, we examine the whole-genome sequences from 609 wild C. elegans strains isolated worldwide and show that genetic variation is concentrated in punctuated hyper-divergent regions that cover 20% of the C. elegans reference genome. These regions are enriched in environmental response genes that mediate sensory perception, pathogen response, and xenobiotic stress response. Population genomic evidence suggests that genetic diversity in these regions has been maintained by long-term balancing selection. Using long- read genome assemblies for 15 wild strains, we show that hyper-divergent haplotypes contain unique sets of genes and show levels of divergence comparable to levels found between Caenorhabditis species that diverged millions of years ago. These results provide an example for how species can avoid the evolutionary “dead end” associated with selfing.

          Related collections

          Most cited references115

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          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.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              clusterProfiler: an R package for comparing biological themes among gene clusters.

              Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
                Bookmark

                Author and article information

                Journal
                101698577
                46074
                Nat Ecol Evol
                Nat Ecol Evol
                Nature ecology & evolution
                2397-334X
                2 March 2021
                05 April 2021
                June 2021
                05 October 2021
                : 5
                : 6
                : 794-807
                Affiliations
                [1. ]Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
                [2. ]Interdisciplinary Biological Sciences Program, Northwestern University, Evanston, IL 60208, USA
                [3. ]Department of Biology, Duke University, Durham, NC, USA
                [4. ]University Program in Genetics and Genomics, Duke University, Durham, NC, USA
                [5. ]Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
                [6. ]Laboratory of Nematology, Wageningen University and Research, 6708PB, The Netherlands
                [7. ]Université Côte d’Azur, CNRS, Inserm, IBV, France, 06100 Nice, France
                [8. ]Institut de Biologie de l’Ecole Normale Supérieure, Centre National de la Recherche Scientifique, INSERM, École Normale Supérieure, Paris Sciences et Lettres, Paris, France
                [9. ]Center for Genomics and Systems Biology, Department of Biology, New York University, New York 10003, USA
                [10. ](Present address) Center for Integrative Genomics, University of Lausanne, CH-1015 Lausanne, Switzerland
                [11. ](Present address) Department of Human Genetics, University of California, Los Angeles, CA 90095, USA
                [12. ](Present address) Howard Hughes Medical Institute, University of California, Los Angeles, CA 90095, USA
                [13. ](Present address) Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, 1375 Panda Road, Northern Suburb, Chengdu Sichuan, P.R.China, 610081
                Author notes
                [#]

                These authors contributed equally to this work.

                Author contributions

                D.L., S.Z., and E.C.A. conceived and designed the study. D.L., S.Z., L.S., and E.C.A. analyzed the data and wrote the manuscript. Y.W., R.E.T., and D.E.C. performed whole-genome sequencing and isotype characterization for 609 wild C. elegans strains. R.E.T. performed long-read sequencing for 11 C. elegans wild isolates. R.C., A.K.W., and L.R.B. performed long-read sequencing for three C. elegans wild isolates. M.G.S., C.B., M.V.R., and M.-A.F. contributed wild isolates to the C. elegans strain collection and edited the manuscript. T.A.C. edited the manuscript.

                [* ]Correspondence should be addressed to E.C.A. ( erik.andersen@ 123456northwestern.edu ). Erik C. Andersen, Associate Professor of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA, Tel: (847) 467-4382
                Correspondence and requests for materials should be addressed to E.C.A.
                Author information
                http://orcid.org/0000-0002-0546-8484
                http://orcid.org/0000-0003-2883-4616
                http://orcid.org/0000-0002-6075-8273
                http://orcid.org/0000-0002-5423-6196
                http://orcid.org/0000-0002-0611-3909
                http://orcid.org/0000-0002-5645-4154
                http://orcid.org/0000-0003-3347-562X
                http://orcid.org/0000-0003-4302-8102
                http://orcid.org/0000-0003-2148-5492
                http://orcid.org/0000-0001-7119-6213
                http://orcid.org/0000-0003-0203-4581
                http://orcid.org/0000-0001-6492-8906
                http://orcid.org/0000-0003-0229-9651
                Article
                NIHMS1678411
                10.1038/s41559-021-01435-x
                8202730
                33820969
                60d34e27-aa16-43b7-8c60-85381bcf5c8b

                Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Categories
                Article

                Comments

                Comment on this article