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      Comparative genome anatomy reveals evolutionary insights into a unique amphitriploid fish

      research-article
      1 , 1 , 2 , 2 , 3 , 3 , 4 , 1 , 1 , 1 , 1 , 1 , 1 , 2 , 3 , 2 , 2 , 2 , 2 , 2 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 3 , 3 , 3 , 3 , 3 , 3 , 3 , 3 , 3 , 5 , 3 , 3 , , 2 , , 1 , , 1 ,
      Nature Ecology & Evolution
      Nature Publishing Group UK
      Genetics, Evolution

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          Abstract

          Triploids are rare in nature because of difficulties in meiotic and gametogenic processes, especially in vertebrates. The Carassius complex of cyprinid teleosts contains sexual tetraploid crucian carp/goldfish ( C. auratus) and unisexual hexaploid gibel carp/Prussian carp ( C. gibelio) lineages, providing a valuable model for studying the evolution and maintenance mechanism of unisexual polyploids in vertebrates. Here we sequence the genomes of the two species and assemble their haplotypes, which contain two subgenomes (A and B), to the chromosome level. Sequencing coverage analysis reveals that C. gibelio is an amphitriploid (AAABBB) with two triploid sets of chromosomes; each set is derived from a different ancestor. Resequencing data from different strains of C. gibelio show that unisexual reproduction has been maintained for over 0.82 million years. Comparative genomics show intensive expansion and alterations of meiotic cell cycle-related genes and an oocyte-specific histone variant. Cytological assays indicate that C. gibelio produces unreduced oocytes by an alternative ameiotic pathway; however, sporadic homologous recombination and a high rate of gene conversion also exist in C. gibelio. These genomic changes might have facilitated purging deleterious mutations and maintaining genome stability in this unisexual amphitriploid fish. Overall, the current results provide novel insights into the evolutionary mechanisms of the reproductive success in unisexual polyploid vertebrates.

          Abstract

          Genome sequencing and haplotype assembly of two cyprinid teleosts, a sexual tetraploid and an unisexual hexaploid, reveal insights into the evolutionary mechanisms underpinning the reproductive success of unisexual polyploid vertebrates.

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          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
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            Basic local alignment search tool.

            A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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              RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

              Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available. Availability and implementation: The code is available under GNU GPL at https://github.com/stamatak/standard-RAxML. Contact: alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                fangxd@bgi.com
                wenwang@nwpu.edu.cn
                zhouli@ihb.ac.cn
                jfgui@ihb.ac.cn
                Journal
                Nat Ecol Evol
                Nat Ecol Evol
                Nature Ecology & Evolution
                Nature Publishing Group UK (London )
                2397-334X
                11 July 2022
                11 July 2022
                2022
                : 6
                : 9
                : 1354-1366
                Affiliations
                [1 ]GRID grid.9227.e, ISNI 0000000119573309, State Key Laboratory of Freshwater Ecology and Biotechnology, Hubei Hongshan Laboratory, The Innovation Academy of Seed Design, University of Chinese Academy of Sciences, Institute of Hydrobiology, , Chinese Academy of Sciences, ; Wuhan, China
                [2 ]GRID grid.440588.5, ISNI 0000 0001 0307 1240, School of Ecology and Environment, , Northwestern Polytechnical University, ; Xi’an, China
                [3 ]GRID grid.21155.32, ISNI 0000 0001 2034 1839, BGI Genomics, BGI-Shenzhen, ; Shenzhen, China
                [4 ]GRID grid.258164.c, ISNI 0000 0004 1790 3548, Department of Ecology, , Jinan University, ; Guangzhou, China
                [5 ]GRID grid.9227.e, ISNI 0000000119573309, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, , Chinese Academy of Sciences, ; Kunming, China
                Author information
                http://orcid.org/0000-0003-0727-607X
                http://orcid.org/0000-0002-6639-0481
                http://orcid.org/0000-0001-6059-6529
                http://orcid.org/0000-0003-4747-7319
                http://orcid.org/0000-0002-9806-6782
                http://orcid.org/0000-0002-1372-840X
                http://orcid.org/0000-0002-2679-5775
                http://orcid.org/0000-0002-1091-5867
                http://orcid.org/0000-0001-9018-6715
                http://orcid.org/0000-0002-4566-6848
                http://orcid.org/0000-0002-7030-9623
                http://orcid.org/0000-0001-6286-3459
                http://orcid.org/0000-0001-7384-1239
                http://orcid.org/0000-0002-0264-5262
                http://orcid.org/0000-0002-8754-1736
                http://orcid.org/0000-0001-6420-4094
                http://orcid.org/0000-0002-5565-9131
                http://orcid.org/0000-0002-5401-1114
                http://orcid.org/0000-0001-7061-3337
                http://orcid.org/0000-0002-7801-2066
                http://orcid.org/0000-0002-3511-3449
                http://orcid.org/0000-0003-4969-1482
                Article
                1813
                10.1038/s41559-022-01813-z
                9439954
                35817827
                3ecae2af-c849-4c91-b61d-21f64c7c5182
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 November 2021
                : 25 May 2022
                Funding
                Funded by: This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA024030104, XDB31000000), the Key Program of Frontier Sciences of the Chinese Academy of Sciences (QYZDY-SSW-SMC025).
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                © The Author(s), under exclusive licence to Springer Nature Limited 2022

                genetics,evolution
                genetics, evolution

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