Literature DB >> 33196104

Quantifying selection on standard metabolic rate and body mass in Drosophila melanogaster.

Mathieu Videlier1, Vincent Careau1, Alastair J Wilson2, Howard D Rundle1.   

Abstract

Standard metabolic rate (SMR), defined as the minimal energy expenditure required for self-maintenance, is a key physiological trait. Few studies have estimated its relationship with fitness, most notably in insects. This is presumably due to the difficulty of measuring SMR in a large number of very small individuals. Using high-throughput flow-through respirometry and a Drosophila melanogaster laboratory population adapted to a life cycle that facilitates fitness measures, we quantified SMR, body mass, and fitness in 515 female and 522 male adults. We used a novel multivariate approach to estimate linear and nonlinear selection differentials and gradients from the variance-covariance matrix of fitness, SMR, and body mass, allowing traits specific covariates to be accommodated within a single model. In males, linear selection differentials for mass and SMR were positive and individually significant. Selection gradients were also positive but, despite substantial sample sizes, were nonsignificant due to increased uncertainty given strong SMR-mass collinearity. In females, only nonlinear selection was detected and it appeared to act primarily on body size, although the individual gradients were again nonsignificant. Selection did not differ significantly between sexes although differences in the fitness surfaces suggest sex-specific selection as an important topic for further study.
© 2020 The Authors. Evolution © 2020 The Society for the Study of Evolution.

Entities:  

Keywords:  Basal metabolic rate; lifetime reproductive success; linear and nonlinear selection; multivariate selection; selection gradient; sexual dimorphism

Year:  2020        PMID: 33196104     DOI: 10.1111/evo.14126

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


  2 in total

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Authors:  Michael T J Hague; H Arthur Woods; Brandon S Cooper
Journal:  Biol Lett       Date:  2021-05-05       Impact factor: 3.703

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Authors:  Göran Arnqvist; Johanna Rönn; Christopher Watson; Julieta Goenaga; Elina Immonen
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-09       Impact factor: 12.779

  2 in total

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