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      Meiosis reveals the early steps in the evolution of a neo-XY sex chromosome pair in the African pygmy mouse Mus minutoides

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          Abstract

          Sex chromosomes of eutherian mammals are highly different in size and gene content, and share only a small region of homology (pseudoautosomal region, PAR). They are thought to have evolved through an addition-attrition cycle involving the addition of autosomal segments to sex chromosomes and their subsequent differentiation. The events that drive this process are difficult to investigate because sex chromosomes in almost all mammals are at a very advanced stage of differentiation. Here, we have taken advantage of a recent translocation of an autosome to both sex chromosomes in the African pygmy mouse Mus minutoides, which has restored a large segment of homology (neo-PAR). By studying meiotic sex chromosome behavior and identifying fully sex-linked genetic markers in the neo-PAR, we demonstrate that this region shows unequivocal signs of early sex-differentiation. First, synapsis and resolution of DNA damage intermediates are delayed in the neo-PAR during meiosis. Second, recombination is suppressed or largely reduced in a large portion of the neo-PAR. However, the inactivation process that characterizes sex chromosomes during meiosis does not extend to this region. Finally, the sex chromosomes show a dual mechanism of association at metaphase-I that involves the formation of a chiasma in the neo-PAR and the preservation of an ancestral achiasmate mode of association in the non-homologous segments. We show that the study of meiosis is crucial to apprehend the onset of sex chromosome differentiation, as it introduces structural and functional constrains to sex chromosome evolution. Synapsis and DNA repair dynamics are the first processes affected in the incipient differentiation of X and Y chromosomes, and they may be involved in accelerating their evolution. This provides one of the very first reports of early steps in neo-sex chromosome differentiation in mammals, and for the first time a cellular framework for the addition-attrition model of sex chromosome evolution.

          Author summary

          Sex chromosomes seem to evolve and differentiate at different rates in different taxa. The reasons for this variability are still debated. It is well established that recombination suppression around the sex-determining region triggers differentiation, and several studies have investigated this process from a genetic point of view. However, the cellular context in which recombination arrest occurs has received little attention so far. In this report, we show that meiosis, the cellular division in which pairing and recombination between chromosomes takes place, can affect the incipient differentiation of X and Y chromosomes. Combining cytogenetic and genomic approaches, we found that in the African pygmy mouse Mus minutoides, which has recently undergone sex chromosome-autosome fusions, synapsis and DNA repair dynamics are disturbed along the newly added region of the sex chromosomes. We argue that these alterations are a by-product of the fusion itself, and cause recombination suppression across a large region of the neo-sex chromosome pair. Therefore, we propose that the meiotic context in which sex or neo-sex chromosomes arise is crucial to understand the very early stages of their differentiation, as it could promote or hinder recombination suppression, and therefore impact the rate at which these chromosomes differentiate.

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          PLINK: a tool set for whole-genome association and population-based linkage analyses.

          Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.
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            Stacks: an analysis tool set for population genomics.

            Massively parallel short-read sequencing technologies, coupled with powerful software platforms, are enabling investigators to analyse tens of thousands of genetic markers. This wealth of data is rapidly expanding and allowing biological questions to be addressed with unprecedented scope and precision. The sizes of the data sets are now posing significant data processing and analysis challenges. Here we describe an extension of the Stacks software package to efficiently use genotype-by-sequencing data for studies of populations of organisms. Stacks now produces core population genomic summary statistics and SNP-by-SNP statistical tests. These statistics can be analysed across a reference genome using a smoothed sliding window. Stacks also now provides several output formats for several commonly used downstream analysis packages. The expanded population genomics functions in Stacks will make it a useful tool to harness the newest generation of massively parallel genotyping data for ecological and evolutionary genetics. © 2013 John Wiley & Sons Ltd.
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              Aligning sequence reads, clone sequences and assembly Contigs with BWA-MEM

              L H, H Li, H. Li (2013)
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                Author and article information

                Contributors
                Role: ConceptualizationRole: InvestigationRole: Writing – original draft
                Role: ConceptualizationRole: InvestigationRole: Writing – original draftRole: Writing – review & editing
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: InvestigationRole: Resources
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                12 November 2020
                November 2020
                : 16
                : 11
                : e1008959
                Affiliations
                [1 ] Departamento de Biología, Facultad de Ciencias, Universidad Autónoma de Madrid, Madrid, Spain
                [2 ] Institut des Sciences de l'Evolution, ISEM UMR 5554 (CNRS/Université Montpellier/IRD/EPHE), Montpellier, France
                [3 ] Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
                Memorial Sloan-Kettering Cancer Center, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-9707-1635
                https://orcid.org/0000-0002-6282-0472
                https://orcid.org/0000-0003-0711-8979
                https://orcid.org/0000-0001-9394-5625
                https://orcid.org/0000-0002-6673-5996
                https://orcid.org/0000-0002-1158-6903
                https://orcid.org/0000-0002-3602-4130
                https://orcid.org/0000-0002-7516-809X
                https://orcid.org/0000-0002-7756-6323
                https://orcid.org/0000-0001-8381-324X
                Article
                PGENETICS-D-20-00994
                10.1371/journal.pgen.1008959
                7685469
                33180767
                9c4dbc44-c6b7-4259-aed3-4bd44aa0cb69
                © 2020 Gil-Fernández 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
                : 23 June 2020
                : 6 October 2020
                Page count
                Figures: 6, Tables: 1, Pages: 27
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100003329, Ministerio de Economía y Competitividad;
                Award ID: CGL2014-53106-P
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: SEXYMUS 10-JCJC-1605
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: ANR-16-IDEX-0006
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100009515, Fondation Simone et Cino Del Duca;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001711, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung;
                Award ID: 31003A 166323
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100004895, European Social Fund;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: 18-CE02-0018-01
                Award Recipient :
                This work was supported by Ministerio de Economía y Competitividad (Spain) (Grant number CGL2014-53106-P to JP), French National Research Agency (ANR grant SEXYMUS 10-JCJC-1605 and and ANR grant SEXREV 18-CE02-0018-01 to FV), Del Duca Foundation from the Institut de France (“subvention scientifique”), and the Swiss National Science Foundation (grant 31003A 166323 to NP). A.G-F. was supported by a predoctoral fellowship from the Ministerio de Economía y Competitividad (Spain) and the European Social Fund (European Commission). P.A.S was supported by a postdoctoral fellowship from MUSE program “investissements d’avenir” (ANR-16-IDEX-0006). Computations were performed at Vital-IT ( www.vital-it.ch), a center for high-performance computing of the SIB Swiss Institute of Bioinformatics, and the Montpellier Bioinformatics Biodiversity (MBB) platform of ISEM, supported by the LabEx CeMEB. Some cytogenetic works were also performed at the CytoEvol platform of ISEM supported by the Labex CeMEB. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Chromosomes
                Sex Chromosomes
                Biology and Life Sciences
                Cell Biology
                Cell Processes
                Cell Cycle and Cell Division
                Meiosis
                Synapsis
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Meiosis
                Synapsis
                Biology and Life Sciences
                Developmental Biology
                Morphogenesis
                Sexual Differentiation
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Chromosomes
                Sex Chromosomes
                Y Chromosomes
                Biology and life sciences
                Genetics
                DNA
                DNA recombination
                Biology and life sciences
                Biochemistry
                Nucleic acids
                DNA
                DNA recombination
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Chromosomal Aberrations
                Chromosomal Translocations
                Biology and life sciences
                Genetics
                DNA
                DNA repair
                Biology and life sciences
                Biochemistry
                Nucleic acids
                DNA
                DNA repair
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Gene Mapping
                Chromosome Mapping
                Research and Analysis Methods
                Molecular Biology Techniques
                Gene Mapping
                Chromosome Mapping
                Custom metadata
                vor-update-to-uncorrected-proof
                2020-11-24
                The data can be found demultiplexed by sample on the NCBI Sequence Read Archive under the Bioproject accession PRJNA670354.

                Genetics
                Genetics

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