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      Genomics and 20 years of sampling reveal phenotypic differences between subpopulations of outmigrating Central Valley Chinook salmon

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          Abstract

          Intraspecific diversity plays a critical role in the resilience of Chinook salmon populations. California's Central Valley (CV) historically hosted one of the most diverse population complexes of Chinook salmon in the world. However, anthropogenic factors have dramatically decreased this diversity, with severe consequences for population resilience. Here we use next generation sequencing and an archive of thousands of tissue samples collected across two decades during the juvenile outmigration to evaluate phenotypic diversity between and within populations of CV Chinook salmon. To account for highly heterogeneous sample qualities in the archive dataset, we develop and test an approach for population and subpopulation assignments of CV Chinook salmon that allows inclusion of relatively low‐quality samples while controlling error rates. We find significantly distinct outmigration timing and body size distributions for each population and subpopulation. Within the archive dataset, spring run individuals that assigned to the Mill and Deer Creeks subpopulation exhibited an earlier and broader outmigration distribution as well as larger body sizes than individuals that assigned to the Butte Creek subpopulation. Within the fall run population, individuals that assigned to the late‐fall run subpopulation also exhibited an earlier and broader outmigration distribution and larger body sizes than other fall run fish in our dataset. These results highlight the importance of distinct subpopulations for maintaining remaining diversity in CV Chinook salmon, and demonstrates the power of genomics‐based population assignments to aid the study and management of intraspecific diversity.

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          Most cited references69

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          Cutadapt removes adapter sequences from high-throughput sequencing reads

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            Twelve years of SAMtools and BCFtools

            Abstract Background SAMtools and BCFtools are widely used programs for processing and analysing high-throughput sequencing data. They include tools for file format conversion and manipulation, sorting, querying, statistics, variant calling, and effect analysis amongst other methods. Findings The first version appeared online 12 years ago and has been maintained and further developed ever since, with many new features and improvements added over the years. The SAMtools and BCFtools packages represent a unique collection of tools that have been used in numerous other software projects and countless genomic pipelines. Conclusion Both SAMtools and BCFtools are freely available on GitHub under the permissive MIT licence, free for both non-commercial and commercial use. Both packages have been installed >1 million times via Bioconda. The source code and documentation are available from https://www.htslib.org.
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              Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM

              Heng Li (2013)
              Summary: BWA-MEM is a new alignment algorithm for aligning sequence reads or long query sequences against a large reference genome such as human. It automatically chooses between local and end-to-end alignments, supports paired-end reads and performs chimeric alignment. The algorithm is robust to sequencing errors and applicable to a wide range of sequence lengths from 70bp to a few megabases. For mapping 100bp sequences, BWA-MEM shows better performance than several state-of-art read aligners to date. Availability and implementation: BWA-MEM is implemented as a component of BWA, which is available at http://github.com/lh3/bwa. Contact: hengli@broadinstitute.org 3 pages and 1 color figure
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                Author and article information

                Contributors
                mhmeek@msu.edu
                Journal
                Evol Appl
                Evol Appl
                10.1111/(ISSN)1752-4571
                EVA
                Evolutionary Applications
                John Wiley and Sons Inc. (Hoboken )
                1752-4571
                03 June 2024
                June 2024
                : 17
                : 6 ( doiID: 10.1111/eva.v17.6 )
                : e13705
                Affiliations
                [ 1 ] Michigan State University East Lansing Michigan USA
                [ 2 ] Wild Salmon Center Portland Oregon USA
                [ 3 ] Saint Anselm College Manchester New Hampshire USA
                [ 4 ] University of California Davis California USA
                [ 5 ] Cary Institute of Ecosystem Studies Millbrook New York USA
                [ 6 ] California Department of Water Resources Sacramento California USA
                [ 7 ] Delta Stewardship Council Sacramento California USA
                [ 8 ] The Wilderness Society Bozeman Montana USA
                Author notes
                [*] [* ] Correspondence

                Mariah H. Meek, Michigan State University, East Lansing, MI 48824, USA.

                Email: mhmeek@ 123456msu.edu

                Author information
                https://orcid.org/0000-0003-3482-2101
                https://orcid.org/0000-0001-9775-9846
                https://orcid.org/0000-0002-3219-4888
                Article
                EVA13705 EVA-2023-192-OA.R2
                10.1111/eva.13705
                11146144
                38832083
                adb569c8-7fa8-4f13-8ffa-720bb7e1cb63
                © 2024 The Author(s). Evolutionary Applications published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 March 2024
                : 01 September 2023
                : 11 April 2024
                Page count
                Figures: 6, Tables: 1, Pages: 17, Words: 12200
                Funding
                Funded by: State of California Delta Stewardship Council
                Award ID: 18209
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                June 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.4 mode:remove_FC converted:03.06.2024

                Evolutionary Biology
                conservation,diversity,genomics,salmon
                Evolutionary Biology
                conservation, diversity, genomics, salmon

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