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      The strength and form of natural selection on transcript abundance in the wild

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          Abstract

          Gene transcription variation is known to contribute to disease susceptibility and adaptation, but we currently know very little about how contemporary natural selection shapes transcript abundance. Here, we propose a novel analytical framework to quantify the strength and form of ongoing natural selection at the transcriptome level in a wild vertebrate. We estimated selection on transcript abundance in a cohort of a wild salmonid fish ( Salmo trutta) affected by an extracellular myxozoan parasite ( Tetracapsuloides bryosalmonae) through mark–recapture field sampling and the integration of RNA‐sequencing with classical regression‐based selection analysis. We show, based on fin transcriptomes of the host, that infection by the parasite and subsequent host survival is linked to upregulation of mitotic cell cycle process. We also detect a widespread signal of disruptive selection on transcripts linked to host immune defence, host–pathogen interactions, cellular repair and maintenance. Our results provide insights into how selection can be measured at the transcriptome level to dissect the molecular mechanisms of contemporary evolution driven by climate change and emerging anthropogenic threats. We anticipate that the approach described here will enable critical information on the molecular processes and targets of natural selection to be obtained in real time.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            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.
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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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                Author and article information

                Contributors
                anti.vasemagi@slu.se
                Journal
                Mol Ecol
                Mol Ecol
                10.1111/(ISSN)1365-294X
                MEC
                Molecular Ecology
                John Wiley and Sons Inc. (Hoboken )
                0962-1083
                1365-294X
                07 December 2020
                June 2021
                : 30
                : 12 ( doiID: 10.1111/mec.v30.12 )
                : 2724-2737
                Affiliations
                [ 1 ] Department of Biology University of Turku Turku Finland
                [ 2 ] Department of Aquaculture and Fish Biology Hólar University Sauðárkrókur Iceland
                [ 3 ] Department of Aquaculture Institute of Veterinary Medicine and Animal Sciences Estonian University of Life Sciences Tartu Estonia
                [ 4 ] Department of Aquatic Resources Swedish University of Agricultural Sciences Drottningholm Sweden
                Author notes
                [*] [* ] Correspondence

                Anti Vasemägi, Department of Aquatic Resources, Swedish University of Agricultural Sciences, 17893 Drottningholm, Stångholmsvägen 2, Sweden.

                Email: anti.vasemagi@ 123456slu.se

                Author information
                https://orcid.org/0000-0002-8994-4723
                https://orcid.org/0000-0003-4491-9564
                https://orcid.org/0000-0002-2184-5534
                Article
                MEC15743
                10.1111/mec.15743
                8246785
                33219570
                50cfc92b-8170-498a-ae93-a8cd3c261878
                © 2020 The Authors. Molecular Ecology 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
                : 15 October 2020
                : 27 June 2020
                : 06 November 2020
                Page count
                Figures: 5, Tables: 0, Pages: 14, Words: 10259
                Funding
                Funded by: Estonian Ministry of Education and Research
                Award ID: IUT8‐2
                Funded by: Eesti Teadusagentuur , open-funder-registry 10.13039/501100002301;
                Award ID: PRG852
                Funded by: Academy of Finland , open-funder-registry 10.13039/501100002341;
                Award ID: 266321
                Funded by: Deutsche Forschungsgemeinschaft , open-funder-registry 10.13039/501100001659;
                Award ID: DE 2405/1–1
                Funded by: Ella & Georg Ehrnrooth foundation
                Funded by: Sihtasutus Archimedes , open-funder-registry 10.13039/100008369;
                Categories
                From the Cover
                From the Cover
                Custom metadata
                2.0
                June 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:01.07.2021

                Ecology
                climate change,contemporary natural selection,gene expression,host–parasite relationships,selection differential and gradient

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