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Nutritional quality modulates trait variability

BACKGROUND: Trait based functional and community ecology is en vogue. Most studies, however, ignore phenotypical diversity by characterizing entire species considering only trait means rather than their variability. Phenotypical variability may arise from genotypical differences or from ecological f...

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Autores principales: Brückner, Adrian, Schuster, Romina, Wehner, Katja, Heethoff, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6282258/
https://www.ncbi.nlm.nih.gov/pubmed/30534185
http://dx.doi.org/10.1186/s12983-018-0297-2
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author Brückner, Adrian
Schuster, Romina
Wehner, Katja
Heethoff, Michael
author_facet Brückner, Adrian
Schuster, Romina
Wehner, Katja
Heethoff, Michael
author_sort Brückner, Adrian
collection PubMed
description BACKGROUND: Trait based functional and community ecology is en vogue. Most studies, however, ignore phenotypical diversity by characterizing entire species considering only trait means rather than their variability. Phenotypical variability may arise from genotypical differences or from ecological factors (e.g., nutritionally imbalanced diet), and these causes can usually not be separated in natural populations. We used a single genotype from a parthenogenetic model system (the oribatid mite Archegozetes longisetosus Aoki) to exclude genotypical differences. We investigated patterns of dietary (10 different food treatments) induced trait variation by measuring the response of nine different traits (relating to life history, morphology or exocrine gland chemistry). RESULTS: Nutritional quality (approximated by carbon-to-nitrogen ratios) influenced all trait means and their variation. Some traits were more prone to variation than others. Furthermore, the “threshold elemental ratio”- rule of element stoichiometry applied to phenotypic trait variation. Imbalanced food (i.e. food not able to fully meet the nutritional demands of an animal) led to lower trait mean values, but also to a higher variation of traits. CONCLUSION: Imbalanced food led not only to lower trait value averages, but also to higher trait variability. There was a negative relationship between both parameters, indicating a direct link of both, average trait levels and trait variation to nutritional quality. Hence, variation of trait means may be a predictor for general food quality, and further indicate trade-offs in specific traits an animal must deal with while feeding on imbalanced diets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12983-018-0297-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-62822582018-12-10 Nutritional quality modulates trait variability Brückner, Adrian Schuster, Romina Wehner, Katja Heethoff, Michael Front Zool Research BACKGROUND: Trait based functional and community ecology is en vogue. Most studies, however, ignore phenotypical diversity by characterizing entire species considering only trait means rather than their variability. Phenotypical variability may arise from genotypical differences or from ecological factors (e.g., nutritionally imbalanced diet), and these causes can usually not be separated in natural populations. We used a single genotype from a parthenogenetic model system (the oribatid mite Archegozetes longisetosus Aoki) to exclude genotypical differences. We investigated patterns of dietary (10 different food treatments) induced trait variation by measuring the response of nine different traits (relating to life history, morphology or exocrine gland chemistry). RESULTS: Nutritional quality (approximated by carbon-to-nitrogen ratios) influenced all trait means and their variation. Some traits were more prone to variation than others. Furthermore, the “threshold elemental ratio”- rule of element stoichiometry applied to phenotypic trait variation. Imbalanced food (i.e. food not able to fully meet the nutritional demands of an animal) led to lower trait mean values, but also to a higher variation of traits. CONCLUSION: Imbalanced food led not only to lower trait value averages, but also to higher trait variability. There was a negative relationship between both parameters, indicating a direct link of both, average trait levels and trait variation to nutritional quality. Hence, variation of trait means may be a predictor for general food quality, and further indicate trade-offs in specific traits an animal must deal with while feeding on imbalanced diets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12983-018-0297-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-05 /pmc/articles/PMC6282258/ /pubmed/30534185 http://dx.doi.org/10.1186/s12983-018-0297-2 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Brückner, Adrian
Schuster, Romina
Wehner, Katja
Heethoff, Michael
Nutritional quality modulates trait variability
title Nutritional quality modulates trait variability
title_full Nutritional quality modulates trait variability
title_fullStr Nutritional quality modulates trait variability
title_full_unstemmed Nutritional quality modulates trait variability
title_short Nutritional quality modulates trait variability
title_sort nutritional quality modulates trait variability
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6282258/
https://www.ncbi.nlm.nih.gov/pubmed/30534185
http://dx.doi.org/10.1186/s12983-018-0297-2
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