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Drought adaptation in Arabidopsis thaliana by extensive genetic loss-of-function

Interdisciplinary syntheses are needed to scale up discovery of the environmental drivers and molecular basis of adaptation in nature. Here we integrated novel approaches using whole genome sequences, satellite remote sensing, and transgenic experiments to study natural loss-of-function alleles asso...

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Autores principales: Monroe, J Grey, Powell, Tyler, Price, Nicholas, Mullen, Jack L, Howard, Anne, Evans, Kyle, Lovell, John T, McKay, John K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326724/
https://www.ncbi.nlm.nih.gov/pubmed/30520727
http://dx.doi.org/10.7554/eLife.41038
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author Monroe, J Grey
Powell, Tyler
Price, Nicholas
Mullen, Jack L
Howard, Anne
Evans, Kyle
Lovell, John T
McKay, John K
author_facet Monroe, J Grey
Powell, Tyler
Price, Nicholas
Mullen, Jack L
Howard, Anne
Evans, Kyle
Lovell, John T
McKay, John K
author_sort Monroe, J Grey
collection PubMed
description Interdisciplinary syntheses are needed to scale up discovery of the environmental drivers and molecular basis of adaptation in nature. Here we integrated novel approaches using whole genome sequences, satellite remote sensing, and transgenic experiments to study natural loss-of-function alleles associated with drought histories in wild Arabidopsis thaliana. The genes we identified exhibit population genetic signatures of parallel molecular evolution, selection for loss-of-function, and shared associations with flowering time phenotypes in directions consistent with longstanding adaptive hypotheses seven times more often than expected by chance. We then confirmed predicted phenotypes experimentally in transgenic knockout lines. These findings reveal the importance of drought timing to explain the evolution of alternative drought tolerance strategies and further challenge popular assumptions about the adaptive value of genetic loss-of-function in nature. These results also motivate improved species-wide sequencing efforts to better identify loss-of-function variants and inspire new opportunities for engineering climate resilience in crops.
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spelling pubmed-63267242019-01-11 Drought adaptation in Arabidopsis thaliana by extensive genetic loss-of-function Monroe, J Grey Powell, Tyler Price, Nicholas Mullen, Jack L Howard, Anne Evans, Kyle Lovell, John T McKay, John K eLife Evolutionary Biology Interdisciplinary syntheses are needed to scale up discovery of the environmental drivers and molecular basis of adaptation in nature. Here we integrated novel approaches using whole genome sequences, satellite remote sensing, and transgenic experiments to study natural loss-of-function alleles associated with drought histories in wild Arabidopsis thaliana. The genes we identified exhibit population genetic signatures of parallel molecular evolution, selection for loss-of-function, and shared associations with flowering time phenotypes in directions consistent with longstanding adaptive hypotheses seven times more often than expected by chance. We then confirmed predicted phenotypes experimentally in transgenic knockout lines. These findings reveal the importance of drought timing to explain the evolution of alternative drought tolerance strategies and further challenge popular assumptions about the adaptive value of genetic loss-of-function in nature. These results also motivate improved species-wide sequencing efforts to better identify loss-of-function variants and inspire new opportunities for engineering climate resilience in crops. eLife Sciences Publications, Ltd 2018-12-06 /pmc/articles/PMC6326724/ /pubmed/30520727 http://dx.doi.org/10.7554/eLife.41038 Text en © 2018, Monroe et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Evolutionary Biology
Monroe, J Grey
Powell, Tyler
Price, Nicholas
Mullen, Jack L
Howard, Anne
Evans, Kyle
Lovell, John T
McKay, John K
Drought adaptation in Arabidopsis thaliana by extensive genetic loss-of-function
title Drought adaptation in Arabidopsis thaliana by extensive genetic loss-of-function
title_full Drought adaptation in Arabidopsis thaliana by extensive genetic loss-of-function
title_fullStr Drought adaptation in Arabidopsis thaliana by extensive genetic loss-of-function
title_full_unstemmed Drought adaptation in Arabidopsis thaliana by extensive genetic loss-of-function
title_short Drought adaptation in Arabidopsis thaliana by extensive genetic loss-of-function
title_sort drought adaptation in arabidopsis thaliana by extensive genetic loss-of-function
topic Evolutionary Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326724/
https://www.ncbi.nlm.nih.gov/pubmed/30520727
http://dx.doi.org/10.7554/eLife.41038
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