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Genome-wide signatures of local adaptation among seven stoneflies species along a nationwide latitudinal gradient in Japan

BACKGROUND: Environmental heterogeneity continuously produces a selective pressure that results in genomic variation among organisms; understanding this relationship remains a challenge in evolutionary biology. Here, we evaluated the degree of genome-environmental association of seven stonefly speci...

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Autores principales: Gamboa, Maribet, Watanabe, Kozo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346529/
https://www.ncbi.nlm.nih.gov/pubmed/30678640
http://dx.doi.org/10.1186/s12864-019-5453-3
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author Gamboa, Maribet
Watanabe, Kozo
author_facet Gamboa, Maribet
Watanabe, Kozo
author_sort Gamboa, Maribet
collection PubMed
description BACKGROUND: Environmental heterogeneity continuously produces a selective pressure that results in genomic variation among organisms; understanding this relationship remains a challenge in evolutionary biology. Here, we evaluated the degree of genome-environmental association of seven stonefly species across a wide geographic area in Japan and additionally identified putative environmental drivers and their effect on co-existing multiple stonefly species. Double-digest restriction-associated DNA (ddRAD) libraries were independently sequenced for 219 individuals from 23 sites across four geographical regions along a nationwide latitudinal gradient in Japan. RESULTS: A total of 4251 candidate single nucleotide polymorphisms (SNPs) strongly associated with local adaptation were discovered using Latent mixed models; of these, 294 SNPs showed strong correlation with environmental variables, specifically precipitation and altitude, using distance-based redundancy analysis. Genome–genome comparison among the seven species revealed a high sequence similarity of candidate SNPs within a geographical region, suggesting the occurrence of a parallel evolution process. CONCLUSIONS: Our results revealed genomic signatures of local adaptation and their influence on multiple, co-occurring species. These results can be potentially applied for future studies on river management and climatic stressor impacts. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5453-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-63465292019-01-29 Genome-wide signatures of local adaptation among seven stoneflies species along a nationwide latitudinal gradient in Japan Gamboa, Maribet Watanabe, Kozo BMC Genomics Research Article BACKGROUND: Environmental heterogeneity continuously produces a selective pressure that results in genomic variation among organisms; understanding this relationship remains a challenge in evolutionary biology. Here, we evaluated the degree of genome-environmental association of seven stonefly species across a wide geographic area in Japan and additionally identified putative environmental drivers and their effect on co-existing multiple stonefly species. Double-digest restriction-associated DNA (ddRAD) libraries were independently sequenced for 219 individuals from 23 sites across four geographical regions along a nationwide latitudinal gradient in Japan. RESULTS: A total of 4251 candidate single nucleotide polymorphisms (SNPs) strongly associated with local adaptation were discovered using Latent mixed models; of these, 294 SNPs showed strong correlation with environmental variables, specifically precipitation and altitude, using distance-based redundancy analysis. Genome–genome comparison among the seven species revealed a high sequence similarity of candidate SNPs within a geographical region, suggesting the occurrence of a parallel evolution process. CONCLUSIONS: Our results revealed genomic signatures of local adaptation and their influence on multiple, co-occurring species. These results can be potentially applied for future studies on river management and climatic stressor impacts. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5453-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-24 /pmc/articles/PMC6346529/ /pubmed/30678640 http://dx.doi.org/10.1186/s12864-019-5453-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.
spellingShingle Research Article
Gamboa, Maribet
Watanabe, Kozo
Genome-wide signatures of local adaptation among seven stoneflies species along a nationwide latitudinal gradient in Japan
title Genome-wide signatures of local adaptation among seven stoneflies species along a nationwide latitudinal gradient in Japan
title_full Genome-wide signatures of local adaptation among seven stoneflies species along a nationwide latitudinal gradient in Japan
title_fullStr Genome-wide signatures of local adaptation among seven stoneflies species along a nationwide latitudinal gradient in Japan
title_full_unstemmed Genome-wide signatures of local adaptation among seven stoneflies species along a nationwide latitudinal gradient in Japan
title_short Genome-wide signatures of local adaptation among seven stoneflies species along a nationwide latitudinal gradient in Japan
title_sort genome-wide signatures of local adaptation among seven stoneflies species along a nationwide latitudinal gradient in japan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346529/
https://www.ncbi.nlm.nih.gov/pubmed/30678640
http://dx.doi.org/10.1186/s12864-019-5453-3
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