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Population genomic footprints of selection and associations with climate in natural populations of Arabidopsis halleri from the Alps
Natural genetic variation is essential for the adaptation of organisms to their local environment and to changing environmental conditions. Here, we examine genomewide patterns of nucleotide variation in natural populations of the outcrossing herb Arabidopsis halleri and associations with climatic v...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BlackWell Publishing Ltd
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4274019/ https://www.ncbi.nlm.nih.gov/pubmed/24102711 http://dx.doi.org/10.1111/mec.12521 |
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author | Fischer, Martin C Rellstab, Christian Tedder, Andrew Zoller, Stefan Gugerli, Felix Shimizu, Kentaro K Holderegger, Rolf Widmer, Alex |
author_facet | Fischer, Martin C Rellstab, Christian Tedder, Andrew Zoller, Stefan Gugerli, Felix Shimizu, Kentaro K Holderegger, Rolf Widmer, Alex |
author_sort | Fischer, Martin C |
collection | PubMed |
description | Natural genetic variation is essential for the adaptation of organisms to their local environment and to changing environmental conditions. Here, we examine genomewide patterns of nucleotide variation in natural populations of the outcrossing herb Arabidopsis halleri and associations with climatic variation among populations in the Alps. Using a pooled population sequencing (Pool-Seq) approach, we discovered more than two million SNPs in five natural populations and identified highly differentiated genomic regions and SNPs using F(ST)-based analyses. We tested only the most strongly differentiated SNPs for associations with a nonredundant set of environmental factors using partial Mantel tests to identify topo-climatic factors that may underlie the observed footprints of selection. Possible functions of genes showing signatures of selection were identified by Gene Ontology analysis. We found 175 genes to be highly associated with one or more of the five tested topo-climatic factors. Of these, 23.4% had unknown functions. Genetic variation in four candidate genes was strongly associated with site water balance and solar radiation, and functional annotations were congruent with these environmental factors. Our results provide a genomewide perspective on the distribution of adaptive genetic variation in natural plant populations from a highly diverse and heterogeneous alpine environment. |
format | Online Article Text |
id | pubmed-4274019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BlackWell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-42740192014-12-23 Population genomic footprints of selection and associations with climate in natural populations of Arabidopsis halleri from the Alps Fischer, Martin C Rellstab, Christian Tedder, Andrew Zoller, Stefan Gugerli, Felix Shimizu, Kentaro K Holderegger, Rolf Widmer, Alex Mol Ecol Original Articles Natural genetic variation is essential for the adaptation of organisms to their local environment and to changing environmental conditions. Here, we examine genomewide patterns of nucleotide variation in natural populations of the outcrossing herb Arabidopsis halleri and associations with climatic variation among populations in the Alps. Using a pooled population sequencing (Pool-Seq) approach, we discovered more than two million SNPs in five natural populations and identified highly differentiated genomic regions and SNPs using F(ST)-based analyses. We tested only the most strongly differentiated SNPs for associations with a nonredundant set of environmental factors using partial Mantel tests to identify topo-climatic factors that may underlie the observed footprints of selection. Possible functions of genes showing signatures of selection were identified by Gene Ontology analysis. We found 175 genes to be highly associated with one or more of the five tested topo-climatic factors. Of these, 23.4% had unknown functions. Genetic variation in four candidate genes was strongly associated with site water balance and solar radiation, and functional annotations were congruent with these environmental factors. Our results provide a genomewide perspective on the distribution of adaptive genetic variation in natural plant populations from a highly diverse and heterogeneous alpine environment. BlackWell Publishing Ltd 2013-11 2013-10-28 /pmc/articles/PMC4274019/ /pubmed/24102711 http://dx.doi.org/10.1111/mec.12521 Text en © 2013 John Wiley & Sons Ltd http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Fischer, Martin C Rellstab, Christian Tedder, Andrew Zoller, Stefan Gugerli, Felix Shimizu, Kentaro K Holderegger, Rolf Widmer, Alex Population genomic footprints of selection and associations with climate in natural populations of Arabidopsis halleri from the Alps |
title | Population genomic footprints of selection and associations with climate in natural populations of Arabidopsis halleri from the Alps |
title_full | Population genomic footprints of selection and associations with climate in natural populations of Arabidopsis halleri from the Alps |
title_fullStr | Population genomic footprints of selection and associations with climate in natural populations of Arabidopsis halleri from the Alps |
title_full_unstemmed | Population genomic footprints of selection and associations with climate in natural populations of Arabidopsis halleri from the Alps |
title_short | Population genomic footprints of selection and associations with climate in natural populations of Arabidopsis halleri from the Alps |
title_sort | population genomic footprints of selection and associations with climate in natural populations of arabidopsis halleri from the alps |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4274019/ https://www.ncbi.nlm.nih.gov/pubmed/24102711 http://dx.doi.org/10.1111/mec.12521 |
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