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Adaptive diversification of growth allometry in the plant Arabidopsis thaliana

Seed plants vary tremendously in size and morphology; however, variation and covariation in plant traits may be governed, at least in part, by universal biophysical laws and biological constants. Metabolic scaling theory (MST) posits that whole-organismal metabolism and growth rate are under stabili...

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Autores principales: Vasseur, François, Exposito-Alonso, Moises, Ayala-Garay, Oscar J., Wang, George, Enquist, Brian J., Vile, Denis, Violle, Cyrille, Weigel, Detlef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879651/
https://www.ncbi.nlm.nih.gov/pubmed/29540570
http://dx.doi.org/10.1073/pnas.1709141115
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author Vasseur, François
Exposito-Alonso, Moises
Ayala-Garay, Oscar J.
Wang, George
Enquist, Brian J.
Vile, Denis
Violle, Cyrille
Weigel, Detlef
author_facet Vasseur, François
Exposito-Alonso, Moises
Ayala-Garay, Oscar J.
Wang, George
Enquist, Brian J.
Vile, Denis
Violle, Cyrille
Weigel, Detlef
author_sort Vasseur, François
collection PubMed
description Seed plants vary tremendously in size and morphology; however, variation and covariation in plant traits may be governed, at least in part, by universal biophysical laws and biological constants. Metabolic scaling theory (MST) posits that whole-organismal metabolism and growth rate are under stabilizing selection that minimizes the scaling of hydrodynamic resistance and maximizes the scaling of resource uptake. This constrains variation in physiological traits and in the rate of biomass accumulation, so that they can be expressed as mathematical functions of plant size with near-constant allometric scaling exponents across species. However, the observed variation in scaling exponents calls into question the evolutionary drivers and the universality of allometric equations. We have measured growth scaling and fitness traits of 451 Arabidopsis thaliana accessions with sequenced genomes. Variation among accessions around the scaling exponent predicted by MST was correlated with relative growth rate, seed production, and stress resistance. Genomic analyses indicate that growth allometry is affected by many genes associated with local climate and abiotic stress response. The gene with the strongest effect, PUB4, has molecular signatures of balancing selection, suggesting that intraspecific variation in growth scaling is maintained by opposing selection on the trade-off between seed production and abiotic stress resistance. Our findings suggest that variation in allometry contributes to local adaptation to contrasting environments. Our results help reconcile past debates on the origin of allometric scaling in biology and begin to link adaptive variation in allometric scaling to specific genes.
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spelling pubmed-58796512018-04-03 Adaptive diversification of growth allometry in the plant Arabidopsis thaliana Vasseur, François Exposito-Alonso, Moises Ayala-Garay, Oscar J. Wang, George Enquist, Brian J. Vile, Denis Violle, Cyrille Weigel, Detlef Proc Natl Acad Sci U S A Biological Sciences Seed plants vary tremendously in size and morphology; however, variation and covariation in plant traits may be governed, at least in part, by universal biophysical laws and biological constants. Metabolic scaling theory (MST) posits that whole-organismal metabolism and growth rate are under stabilizing selection that minimizes the scaling of hydrodynamic resistance and maximizes the scaling of resource uptake. This constrains variation in physiological traits and in the rate of biomass accumulation, so that they can be expressed as mathematical functions of plant size with near-constant allometric scaling exponents across species. However, the observed variation in scaling exponents calls into question the evolutionary drivers and the universality of allometric equations. We have measured growth scaling and fitness traits of 451 Arabidopsis thaliana accessions with sequenced genomes. Variation among accessions around the scaling exponent predicted by MST was correlated with relative growth rate, seed production, and stress resistance. Genomic analyses indicate that growth allometry is affected by many genes associated with local climate and abiotic stress response. The gene with the strongest effect, PUB4, has molecular signatures of balancing selection, suggesting that intraspecific variation in growth scaling is maintained by opposing selection on the trade-off between seed production and abiotic stress resistance. Our findings suggest that variation in allometry contributes to local adaptation to contrasting environments. Our results help reconcile past debates on the origin of allometric scaling in biology and begin to link adaptive variation in allometric scaling to specific genes. National Academy of Sciences 2018-03-27 2018-03-14 /pmc/articles/PMC5879651/ /pubmed/29540570 http://dx.doi.org/10.1073/pnas.1709141115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Vasseur, François
Exposito-Alonso, Moises
Ayala-Garay, Oscar J.
Wang, George
Enquist, Brian J.
Vile, Denis
Violle, Cyrille
Weigel, Detlef
Adaptive diversification of growth allometry in the plant Arabidopsis thaliana
title Adaptive diversification of growth allometry in the plant Arabidopsis thaliana
title_full Adaptive diversification of growth allometry in the plant Arabidopsis thaliana
title_fullStr Adaptive diversification of growth allometry in the plant Arabidopsis thaliana
title_full_unstemmed Adaptive diversification of growth allometry in the plant Arabidopsis thaliana
title_short Adaptive diversification of growth allometry in the plant Arabidopsis thaliana
title_sort adaptive diversification of growth allometry in the plant arabidopsis thaliana
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879651/
https://www.ncbi.nlm.nih.gov/pubmed/29540570
http://dx.doi.org/10.1073/pnas.1709141115
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