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Is Physiological Performance a Good Predictor for Fitness? Insights from an Invasive Plant Species

Is physiological performance a suitable proxy of fitness in plants? Although, several studies have been conducted to measure some fitness-related traits and physiological performance, direct assessments are seldom found in the literature. Here, we assessed the physiology-fitness relationship using s...

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Autores principales: Molina-Montenegro, Marco A., Salgado-Luarte, Cristian, Oses, Rómulo, Torres-Díaz, Cristian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3808376/
https://www.ncbi.nlm.nih.gov/pubmed/24204626
http://dx.doi.org/10.1371/journal.pone.0076432
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author Molina-Montenegro, Marco A.
Salgado-Luarte, Cristian
Oses, Rómulo
Torres-Díaz, Cristian
author_facet Molina-Montenegro, Marco A.
Salgado-Luarte, Cristian
Oses, Rómulo
Torres-Díaz, Cristian
author_sort Molina-Montenegro, Marco A.
collection PubMed
description Is physiological performance a suitable proxy of fitness in plants? Although, several studies have been conducted to measure some fitness-related traits and physiological performance, direct assessments are seldom found in the literature. Here, we assessed the physiology-fitness relationship using second-generation individuals of the invasive plant species Taraxacum officinale from 17 localities distributed in five continents. Specifically, we tested if i) the maximum quantum yield is a good predictor for seed-output ii) whether this physiology-fitness relationship can be modified by environmental heterogeneity, and iii) if this relationship has an adaptive consequence for T. officinale individuals from different localities. Overall, we found a significant positive relationship between the maximum quantum yield and fitness for all localities evaluated, but this relationship decreased in T. officinale individuals from localities with greater environmental heterogeneity. Finally, we found that those individuals from localities where environmental conditions are highly seasonal performed better under heterogeneous environmental conditions. Contrarily, under homogeneous controlled conditions, those individuals from localities with low environmental seasonality performed much better. In conclusion, our results suggest that the maximum quantum yield seem to be good predictors for plant fitness. We suggest that rapid measurements, such as those obtained from the maximum quantum yield, could provide a straightforward proxy of individual’s fitness in changing environments.
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spelling pubmed-38083762013-11-07 Is Physiological Performance a Good Predictor for Fitness? Insights from an Invasive Plant Species Molina-Montenegro, Marco A. Salgado-Luarte, Cristian Oses, Rómulo Torres-Díaz, Cristian PLoS One Research Article Is physiological performance a suitable proxy of fitness in plants? Although, several studies have been conducted to measure some fitness-related traits and physiological performance, direct assessments are seldom found in the literature. Here, we assessed the physiology-fitness relationship using second-generation individuals of the invasive plant species Taraxacum officinale from 17 localities distributed in five continents. Specifically, we tested if i) the maximum quantum yield is a good predictor for seed-output ii) whether this physiology-fitness relationship can be modified by environmental heterogeneity, and iii) if this relationship has an adaptive consequence for T. officinale individuals from different localities. Overall, we found a significant positive relationship between the maximum quantum yield and fitness for all localities evaluated, but this relationship decreased in T. officinale individuals from localities with greater environmental heterogeneity. Finally, we found that those individuals from localities where environmental conditions are highly seasonal performed better under heterogeneous environmental conditions. Contrarily, under homogeneous controlled conditions, those individuals from localities with low environmental seasonality performed much better. In conclusion, our results suggest that the maximum quantum yield seem to be good predictors for plant fitness. We suggest that rapid measurements, such as those obtained from the maximum quantum yield, could provide a straightforward proxy of individual’s fitness in changing environments. Public Library of Science 2013-10-25 /pmc/articles/PMC3808376/ /pubmed/24204626 http://dx.doi.org/10.1371/journal.pone.0076432 Text en © 2013 Molina-Montenegro et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Molina-Montenegro, Marco A.
Salgado-Luarte, Cristian
Oses, Rómulo
Torres-Díaz, Cristian
Is Physiological Performance a Good Predictor for Fitness? Insights from an Invasive Plant Species
title Is Physiological Performance a Good Predictor for Fitness? Insights from an Invasive Plant Species
title_full Is Physiological Performance a Good Predictor for Fitness? Insights from an Invasive Plant Species
title_fullStr Is Physiological Performance a Good Predictor for Fitness? Insights from an Invasive Plant Species
title_full_unstemmed Is Physiological Performance a Good Predictor for Fitness? Insights from an Invasive Plant Species
title_short Is Physiological Performance a Good Predictor for Fitness? Insights from an Invasive Plant Species
title_sort is physiological performance a good predictor for fitness? insights from an invasive plant species
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3808376/
https://www.ncbi.nlm.nih.gov/pubmed/24204626
http://dx.doi.org/10.1371/journal.pone.0076432
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