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      Supergene origin and maintenance in Atlantic cod

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          Abstract

          Supergenes are sets of genes that are inherited as a single marker and encode complex phenotypes through their joint action. They are identified in an increasing number of organisms, yet their origins and evolution remain enigmatic. In Atlantic cod, four megabase-scale supergenes have been identified and linked to migratory lifestyle and environmental adaptations. Here we investigate the origin and maintenance of these four supergenes through analysis of whole-genome-sequencing data, including a new long-read-based genome assembly for a non-migratory Atlantic cod individual. We corroborate the finding that chromosomal inversions underlie all four supergenes, and we show that they originated at different times between 0.40 and 1.66 million years ago. We reveal gene flux between supergene haplotypes where migratory and stationary Atlantic cod co-occur and conclude that this gene flux is driven by gene conversion, on the basis of an increase in GC content in exchanged sites. Additionally, we find evidence for double crossover between supergene haplotypes, leading to the exchange of an ~275 kilobase fragment with genes potentially involved in adaptation to low salinity in the Baltic Sea. Our results suggest that supergenes can be maintained over long timescales in the same way as hybridizing species, through the selective purging of introduced genetic variation.

          Abstract

          Atlantic cod carries four supergenes linked to migratory lifestyle and environmental adaptations. Using whole-genome sequencing, the authors show that the genome inversions that underlie the supergenes originated at different times and show gene flux between supergene haplotypes.

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          Most cited references113

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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
                michael.matschiner@nhm.uio.no
                sissel.jentoft@ibv.uio.no
                Journal
                Nat Ecol Evol
                Nat Ecol Evol
                Nature Ecology & Evolution
                Nature Publishing Group UK (London )
                2397-334X
                17 February 2022
                17 February 2022
                2022
                : 6
                : 4
                : 469-481
                Affiliations
                [1 ]GRID grid.5510.1, ISNI 0000 0004 1936 8921, Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, , University of Oslo, ; Oslo, Norway
                [2 ]GRID grid.7400.3, ISNI 0000 0004 1937 0650, Department of Palaeontology and Museum, , University of Zurich, ; Zurich, Switzerland
                [3 ]GRID grid.6612.3, ISNI 0000 0004 1937 0642, Zoological Institute, Department of Environmental Sciences, , University of Basel, ; Basel, Switzerland
                [4 ]GRID grid.424586.9, ISNI 0000 0004 0636 2037, Marine and Freshwater Research Institute, ; Hafnarfjördur, Iceland
                [5 ]GRID grid.23618.3e, ISNI 0000 0004 0449 2129, Fisheries and Oceans Canada, ; St John’s, Newfoundland and Labrador, Canada
                [6 ]GRID grid.5510.1, ISNI 0000 0004 1936 8921, Present Address: Natural History Museum, , University of Oslo, ; Oslo, Norway
                Author information
                http://orcid.org/0000-0003-4741-3884
                http://orcid.org/0000-0001-5125-819X
                http://orcid.org/0000-0002-1932-8212
                http://orcid.org/0000-0003-0235-9810
                http://orcid.org/0000-0001-6425-9060
                http://orcid.org/0000-0002-8152-4943
                http://orcid.org/0000-0002-8861-5397
                http://orcid.org/0000-0001-8707-531X
                Article
                1661
                10.1038/s41559-022-01661-x
                8986531
                35177802
                8b0d9a85-2ea3-45c6-8e24-f37eb16021d7
                © 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
                : 2 March 2021
                : 10 January 2022
                Funding
                Funded by: Norwegian Research Council, 221734/O30
                Categories
                Article
                Custom metadata
                © The Author(s), under exclusive licence to Springer Nature Limited 2022

                evolutionary biology,population genetics,phylogenomics,comparative genomics

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