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Whole genome SNP-associated signatures of local adaptation in honeybees of the Iberian Peninsula

The availability of powerful high-throughput genomic tools, combined with genome scans, has helped identifying genes and genetic changes responsible for environmental adaptation in many organisms, including the honeybee. Here, we resequenced 87 whole genomes of the honeybee native to Iberia and used...

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Autores principales: Henriques, Dora, Wallberg, Andreas, Chávez-Galarza, Julio, Johnston, J. Spencer, Webster, Matthew T., Pinto, M. Alice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057950/
https://www.ncbi.nlm.nih.gov/pubmed/30042407
http://dx.doi.org/10.1038/s41598-018-29469-5
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author Henriques, Dora
Wallberg, Andreas
Chávez-Galarza, Julio
Johnston, J. Spencer
Webster, Matthew T.
Pinto, M. Alice
author_facet Henriques, Dora
Wallberg, Andreas
Chávez-Galarza, Julio
Johnston, J. Spencer
Webster, Matthew T.
Pinto, M. Alice
author_sort Henriques, Dora
collection PubMed
description The availability of powerful high-throughput genomic tools, combined with genome scans, has helped identifying genes and genetic changes responsible for environmental adaptation in many organisms, including the honeybee. Here, we resequenced 87 whole genomes of the honeybee native to Iberia and used conceptually different selection methods (Samβada, LFMM, PCAdapt, iHs) together with in sillico protein modelling to search for selection footprints along environmental gradients. We found 670 outlier SNPs, most of which associated with precipitation, longitude and latitude. Over 88.7% SNPs laid outside exons and there was a significant enrichment in regions adjacent to exons and UTRs. Enrichment was also detected in exonic regions. Furthermore, in silico protein modelling suggests that several non-synonymous SNPs are likely direct targets of selection, as they lead to amino acid replacements in functionally important sites of proteins. We identified genomic signatures of local adaptation in 140 genes, many of which are putatively implicated in fitness-related functions such as reproduction, immunity, olfaction, lipid biosynthesis and circadian clock. Our genome scan suggests that local adaptation in the Iberian honeybee involves variations in regions that might alter patterns of gene expression and in protein-coding genes, which are promising candidates to underpin adaptive change in the honeybee.
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spelling pubmed-60579502018-07-31 Whole genome SNP-associated signatures of local adaptation in honeybees of the Iberian Peninsula Henriques, Dora Wallberg, Andreas Chávez-Galarza, Julio Johnston, J. Spencer Webster, Matthew T. Pinto, M. Alice Sci Rep Article The availability of powerful high-throughput genomic tools, combined with genome scans, has helped identifying genes and genetic changes responsible for environmental adaptation in many organisms, including the honeybee. Here, we resequenced 87 whole genomes of the honeybee native to Iberia and used conceptually different selection methods (Samβada, LFMM, PCAdapt, iHs) together with in sillico protein modelling to search for selection footprints along environmental gradients. We found 670 outlier SNPs, most of which associated with precipitation, longitude and latitude. Over 88.7% SNPs laid outside exons and there was a significant enrichment in regions adjacent to exons and UTRs. Enrichment was also detected in exonic regions. Furthermore, in silico protein modelling suggests that several non-synonymous SNPs are likely direct targets of selection, as they lead to amino acid replacements in functionally important sites of proteins. We identified genomic signatures of local adaptation in 140 genes, many of which are putatively implicated in fitness-related functions such as reproduction, immunity, olfaction, lipid biosynthesis and circadian clock. Our genome scan suggests that local adaptation in the Iberian honeybee involves variations in regions that might alter patterns of gene expression and in protein-coding genes, which are promising candidates to underpin adaptive change in the honeybee. Nature Publishing Group UK 2018-07-24 /pmc/articles/PMC6057950/ /pubmed/30042407 http://dx.doi.org/10.1038/s41598-018-29469-5 Text en © The Author(s) 2018 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/.
spellingShingle Article
Henriques, Dora
Wallberg, Andreas
Chávez-Galarza, Julio
Johnston, J. Spencer
Webster, Matthew T.
Pinto, M. Alice
Whole genome SNP-associated signatures of local adaptation in honeybees of the Iberian Peninsula
title Whole genome SNP-associated signatures of local adaptation in honeybees of the Iberian Peninsula
title_full Whole genome SNP-associated signatures of local adaptation in honeybees of the Iberian Peninsula
title_fullStr Whole genome SNP-associated signatures of local adaptation in honeybees of the Iberian Peninsula
title_full_unstemmed Whole genome SNP-associated signatures of local adaptation in honeybees of the Iberian Peninsula
title_short Whole genome SNP-associated signatures of local adaptation in honeybees of the Iberian Peninsula
title_sort whole genome snp-associated signatures of local adaptation in honeybees of the iberian peninsula
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057950/
https://www.ncbi.nlm.nih.gov/pubmed/30042407
http://dx.doi.org/10.1038/s41598-018-29469-5
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