How to approach the study of syndromes in macroevolution and ecology

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1002/ece3.8583. This is version 1 of this Preprint.

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Authors

Miranda Sinnott-Armstrong, Rocio Deanna, Chelsea Pretz, Jesse Harris, Amy Dunbar-Wallis, Sukuan Liu, Stacey D. Smith, Lucas C Wheeler

Abstract

Syndromes, wherein multiple traits evolve convergently in response to a shared selective driver, form a central concept in ecology and evolution. Recent work has questioned the utility and indeed the existence of some of the classic syndromes, such as pollination and seed dispersal syndromes. Here, we discuss some of the major issues that have plagued research into syndromes in macroevolution. First, observation of co-evolving traits (sometimes called “trait syndromes) is often used as evidence of adaptation to a particular driver, even when the link between traits and adaptation is not well-tested. Second, the study of syndromes often uses a biased sampling approach, focusing on the most extreme examples, which may obscure significant continuous variation between traits. Finally, researchers often focus on the traits that are easiest to measure even though these may not be the most directly relevant to adaptive hypotheses. We argue that these issues can be avoided by combining macroevolutionary studies of trait variation across entire clades with explicit tests of adaptive hypotheses, and that taking this approach will lead to a better understanding of syndrome-like evolution and its drivers.

DOI

https://doi.org/10.32942/osf.io/bt2km

Subjects

Ecology and Evolutionary Biology, Evolution, Life Sciences

Keywords

adaptation, correlated traits, Macroevolution, Methodology, syndromes

Dates

Published: 2021-09-02 07:37

License

CC-BY Attribution-No Derivatives 4.0 International