Literature DB >> 26614565

Adaptive evolution in locomotor performance: How selective pressures and functional relationships produce diversity.

Jeffrey A Scales1,2, Marguerite A Butler3.   

Abstract

Despite the complexity of nature, most comparative studies of phenotypic evolution consider selective pressures in isolation. When competing pressures operate on the same system, it is commonly expected that trade-offs will occur that will limit the evolution of phenotypic diversity, however, it is possible that interactions among selective pressures may promote diversity instead. We explored the evolution of locomotor performance in lizards in relation to possible selective pressures using the Ornstein-Uhlenbeck process. Here, we show that a combination of selection based on foraging mode and predator escape is required to explain variation in performance phenotypes. Surprisingly, habitat use contributed little explanatory power. We find that it is possible to evolve very different abilities in performance which were previously thought to be tightly correlated, supporting a growing literature that explores the many-to-one mapping of morphological design. Although we generally find the expected trade-off between maximal exertion and speed, this relationship surprisingly disappears when species experience selection for both performance types. We conclude that functional integration need not limit adaptive potential, and that an integrative approach considering multiple major influences on a phenotype allows a more complete understanding of adaptation and the evolution of diversity.
© 2015 The Author(s). Evolution © 2015 The Society for the Study of Evolution.

Keywords:  Adaptation; locomotion; natural selection; phenotypic diversity; running, endurance, sprint, biodiversity, selective pressures, performance, Ornstein-Uhlenbeck model, OUCH, Brownian motion model; trade-offs lizards

Mesh:

Substances:

Year:  2015        PMID: 26614565     DOI: 10.1111/evo.12825

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  4 in total

1.  How to use (and not to use) movement-based indices for quantifying foraging behaviour.

Authors:  Topaz Halperin; Michael Kalyuzhny; Dror Hawlena
Journal:  Methods Ecol Evol       Date:  2017-12-18       Impact factor: 7.781

2.  Strong biomechanical relationships bias the tempo and mode of morphological evolution.

Authors:  Martha M Muñoz; Y Hu; Philip S L Anderson; S N Patek
Journal:  Elife       Date:  2018-08-09       Impact factor: 8.140

3.  A new approach to assessing the space use behavior of macroinvertebrates by automated video tracking.

Authors:  Milad Shokri; Francesco Cozzoli; Mario Ciotti; Vojsava Gjoni; Vanessa Marrocco; Fabio Vignes; Alberto Basset
Journal:  Ecol Evol       Date:  2021-03-13       Impact factor: 2.912

4.  Observation resolution critically influences movement-based foraging indices.

Authors:  Michael Kalyuzhny; Tom Haran; Dror Hawlena
Journal:  Sci Rep       Date:  2019-09-20       Impact factor: 4.379

  4 in total

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