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Solving the grand challenge of phenotypic integration: allometry across scales
Phenotypic integration is a concept related to the cascade of trait relationships from the lowest organizational levels, i.e. genes, to the highest, i.e. whole-organism traits. However, the cause-and-effect linkages between traits are notoriously difficult to determine. In particular, we still lack...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355930/ https://www.ncbi.nlm.nih.gov/pubmed/35857239 http://dx.doi.org/10.1007/s10709-022-00158-6 |
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author | Vasseur, François Westgeest, Adrianus Johannes Vile, Denis Violle, Cyrille |
author_facet | Vasseur, François Westgeest, Adrianus Johannes Vile, Denis Violle, Cyrille |
author_sort | Vasseur, François |
collection | PubMed |
description | Phenotypic integration is a concept related to the cascade of trait relationships from the lowest organizational levels, i.e. genes, to the highest, i.e. whole-organism traits. However, the cause-and-effect linkages between traits are notoriously difficult to determine. In particular, we still lack a mathematical framework to model the relationships involved in the integration of phenotypic traits. Here, we argue that allometric models developed in ecology offer testable mathematical equations of trait relationships across scales. We first show that allometric relationships are pervasive in biology at different organizational scales and in different taxa. We then present mechanistic models that explain the origin of allometric relationships. In addition, we emphasized that recent studies showed that natural variation does exist for allometric parameters, suggesting a role for genetic variability, selection and evolution. Consequently, we advocate that it is time to examine the genetic determinism of allometries, as well as to question in more detail the role of genome size in subsequent scaling relationships. More broadly, a possible—but so far neglected—solution to understand phenotypic integration is to examine allometric relationships at different organizational levels (cell, tissue, organ, organism) and in contrasted species. |
format | Online Article Text |
id | pubmed-9355930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-93559302022-08-07 Solving the grand challenge of phenotypic integration: allometry across scales Vasseur, François Westgeest, Adrianus Johannes Vile, Denis Violle, Cyrille Genetica Original Paper Phenotypic integration is a concept related to the cascade of trait relationships from the lowest organizational levels, i.e. genes, to the highest, i.e. whole-organism traits. However, the cause-and-effect linkages between traits are notoriously difficult to determine. In particular, we still lack a mathematical framework to model the relationships involved in the integration of phenotypic traits. Here, we argue that allometric models developed in ecology offer testable mathematical equations of trait relationships across scales. We first show that allometric relationships are pervasive in biology at different organizational scales and in different taxa. We then present mechanistic models that explain the origin of allometric relationships. In addition, we emphasized that recent studies showed that natural variation does exist for allometric parameters, suggesting a role for genetic variability, selection and evolution. Consequently, we advocate that it is time to examine the genetic determinism of allometries, as well as to question in more detail the role of genome size in subsequent scaling relationships. More broadly, a possible—but so far neglected—solution to understand phenotypic integration is to examine allometric relationships at different organizational levels (cell, tissue, organ, organism) and in contrasted species. Springer International Publishing 2022-07-20 2022 /pmc/articles/PMC9355930/ /pubmed/35857239 http://dx.doi.org/10.1007/s10709-022-00158-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Vasseur, François Westgeest, Adrianus Johannes Vile, Denis Violle, Cyrille Solving the grand challenge of phenotypic integration: allometry across scales |
title | Solving the grand challenge of phenotypic integration: allometry across scales |
title_full | Solving the grand challenge of phenotypic integration: allometry across scales |
title_fullStr | Solving the grand challenge of phenotypic integration: allometry across scales |
title_full_unstemmed | Solving the grand challenge of phenotypic integration: allometry across scales |
title_short | Solving the grand challenge of phenotypic integration: allometry across scales |
title_sort | solving the grand challenge of phenotypic integration: allometry across scales |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355930/ https://www.ncbi.nlm.nih.gov/pubmed/35857239 http://dx.doi.org/10.1007/s10709-022-00158-6 |
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