Solving the grand challenge of phenotypic integration: allometry across scales

Author:

Vasseur FrançoisORCID,Westgeest Adrianus Johannes,Vile Denis,Violle Cyrille

Abstract

AbstractPhenotypic 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.

Funder

European Research Council

Publisher

Springer Science and Business Media LLC

Subject

Insect Science,Plant Science,Genetics,Animal Science and Zoology,General Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Within‐individual leaf trait variation increases with phenotypic integration in a subtropical tree diversity experiment;New Phytologist;2023-09-14

2. How to improve scaling from traits to ecosystem processes;Trends in Ecology & Evolution;2023-03

3. Towards indicators for agricultural production through biomathematical modeling using an interactive web platform;2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA);2022-10-24

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