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Association mapping reveals novel serpentine adaptation gene clusters in a population of symbiotic Mesorhizobium
The genetic variants that underlie microbial environmental adaptation are key components of models of microbial diversification. Characterizing adaptive variants and the pangenomic context in which they evolve remains a frontier in understanding how microbial diversity is generated. The genomics of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5315480/ https://www.ncbi.nlm.nih.gov/pubmed/27420027 http://dx.doi.org/10.1038/ismej.2016.88 |
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author | Porter, Stephanie S Chang, Peter L Conow, Christopher A Dunham, Joseph P Friesen, Maren L |
author_facet | Porter, Stephanie S Chang, Peter L Conow, Christopher A Dunham, Joseph P Friesen, Maren L |
author_sort | Porter, Stephanie S |
collection | PubMed |
description | The genetic variants that underlie microbial environmental adaptation are key components of models of microbial diversification. Characterizing adaptive variants and the pangenomic context in which they evolve remains a frontier in understanding how microbial diversity is generated. The genomics of rhizobium adaptation to contrasting soil environments is ecologically and agriculturally important because these bacteria are responsible for half of all current biologically fixed nitrogen, yet they live the majority of their lives in soil. Our study uses whole-genome sequencing to describe the pan-genome of a focal clade of wild mesorhizobia that show contrasting levels of nickel adaptation despite high relatedness (99.8% identity at 16S). We observe ecotypic specialization within an otherwise genomically cohesive population, rather than finding distinct specialized bacterial lineages in contrasting soil types. This finding supports recent reports that heterogeneous environments impose selection that maintains differentiation only at a small fraction of the genome. Our work further uses a genome-wide association study to propose candidate genes for nickel adaptation. Several candidates show homology to genetic systems involved in nickel tolerance and one cluster of candidates correlates perfectly with soil origin, which validates our approach of ascribing genomic variation to adaptive divergence. |
format | Online Article Text |
id | pubmed-5315480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53154802017-02-27 Association mapping reveals novel serpentine adaptation gene clusters in a population of symbiotic Mesorhizobium Porter, Stephanie S Chang, Peter L Conow, Christopher A Dunham, Joseph P Friesen, Maren L ISME J Original Article The genetic variants that underlie microbial environmental adaptation are key components of models of microbial diversification. Characterizing adaptive variants and the pangenomic context in which they evolve remains a frontier in understanding how microbial diversity is generated. The genomics of rhizobium adaptation to contrasting soil environments is ecologically and agriculturally important because these bacteria are responsible for half of all current biologically fixed nitrogen, yet they live the majority of their lives in soil. Our study uses whole-genome sequencing to describe the pan-genome of a focal clade of wild mesorhizobia that show contrasting levels of nickel adaptation despite high relatedness (99.8% identity at 16S). We observe ecotypic specialization within an otherwise genomically cohesive population, rather than finding distinct specialized bacterial lineages in contrasting soil types. This finding supports recent reports that heterogeneous environments impose selection that maintains differentiation only at a small fraction of the genome. Our work further uses a genome-wide association study to propose candidate genes for nickel adaptation. Several candidates show homology to genetic systems involved in nickel tolerance and one cluster of candidates correlates perfectly with soil origin, which validates our approach of ascribing genomic variation to adaptive divergence. Nature Publishing Group 2017-01 2016-07-15 /pmc/articles/PMC5315480/ /pubmed/27420027 http://dx.doi.org/10.1038/ismej.2016.88 Text en Copyright © 2017 International Society for Microbial Ecology http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Article Porter, Stephanie S Chang, Peter L Conow, Christopher A Dunham, Joseph P Friesen, Maren L Association mapping reveals novel serpentine adaptation gene clusters in a population of symbiotic Mesorhizobium |
title | Association mapping reveals novel serpentine adaptation gene clusters in a population of symbiotic Mesorhizobium |
title_full | Association mapping reveals novel serpentine adaptation gene clusters in a population of symbiotic Mesorhizobium |
title_fullStr | Association mapping reveals novel serpentine adaptation gene clusters in a population of symbiotic Mesorhizobium |
title_full_unstemmed | Association mapping reveals novel serpentine adaptation gene clusters in a population of symbiotic Mesorhizobium |
title_short | Association mapping reveals novel serpentine adaptation gene clusters in a population of symbiotic Mesorhizobium |
title_sort | association mapping reveals novel serpentine adaptation gene clusters in a population of symbiotic mesorhizobium |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5315480/ https://www.ncbi.nlm.nih.gov/pubmed/27420027 http://dx.doi.org/10.1038/ismej.2016.88 |
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