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      Mitonuclear mismatch alters nuclear gene expression in naturally introgressed Rhinolophus bats

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          Abstract

          Background

          Mitochondrial function involves the interplay between mitochondrial and nuclear genomes. Such mitonuclear interactions can be disrupted by the introgression of mitochondrial DNA between taxa or divergent populations. Previous studies of several model systems (e.g. Drosophila) indicate that the disruption of mitonuclear interactions, termed mitonuclear mismatch, can alter nuclear gene expression, yet few studies have focused on natural populations.

          Results

          Here we study a naturally introgressed population in the secondary contact zone of two subspecies of the intermediate horseshoe bat ( Rhinolophus affinis), in which individuals possess either mitonuclear matched or mismatched genotypes. We generated transcriptome data for six tissue types from five mitonuclear matched and five mismatched individuals. Our results revealed strong tissue-specific effects of mitonuclear mismatch on nuclear gene expression with the largest effect seen in pectoral muscle. Moreover, consistent with the hypothesis that genes associated with the response to oxidative stress may be upregulated in mitonuclear mismatched individuals, we identified several such gene candidates, including DNASE1L3, GPx3 and HSPB6 in muscle, and ISG15 and IFI6 in heart.

          Conclusion

          Our study reveals how mitonuclear mismatch arising from introgression in natural populations is likely to have fitness consequences. Underlying the processes that maintain mitonuclear discordance is a step forward to understand the role of mitonuclear interactions in population divergence and speciation.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12983-021-00424-x.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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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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                Author and article information

                Contributors
                xgmao6721@gmail.com
                Journal
                Front Zool
                Front Zool
                Frontiers in Zoology
                BioMed Central (London )
                1742-9994
                6 September 2021
                6 September 2021
                2021
                : 18
                : 42
                Affiliations
                [1 ]GRID grid.22069.3f, ISNI 0000 0004 0369 6365, Institute of Estuarine and Coastal Research, , East China Normal University, ; Shanghai, 200062 China
                [2 ]GRID grid.22069.3f, ISNI 0000 0004 0369 6365, School of Ecological and Environmental Sciences, , East China Normal University, ; Shanghai, 200062 China
                [3 ]GRID grid.4868.2, ISNI 0000 0001 2171 1133, School of Biological and Chemical Sciences, , Queen Mary University of London, ; London, E1 4NS UK
                [4 ]GRID grid.22069.3f, ISNI 0000 0004 0369 6365, Institute of Eco-Chongming (IEC), , East China Normal University, ; Shanghai, 200062 China
                Author information
                http://orcid.org/0000-0002-3432-7509
                Article
                424
                10.1186/s12983-021-00424-x
                8419968
                34488775
                e7a2684b-c13b-470f-bab0-c28b120627ae
                © The Author(s) 2021

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 30 April 2021
                : 20 July 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: No. 31570378
                Award ID: No. 31630008
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Animal science & Zoology
                mitonuclear discordance,gene expression,rna-seq,introgression
                Animal science & Zoology
                mitonuclear discordance, gene expression, rna-seq, introgression

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