Literature DB >> 28859402

How Do We Measure the Cost of Whole-Organism Performance Traits?

Jerry F Husak1, Simon P Lailvaux2.   

Abstract

SYNOPSIS: Whole-organism performance traits, such as maximal speed and endurance capacity are undoubtedly costly, but we know little about how or when all of the costs associated with performance are paid to individuals or how to measure them. To understand how performance traits might be involved in trade-offs with other life-history traits it is critical to determine the development, production, and maintenance costs of performance traits, as well as how each of these changes with increased or decreased use of the performance trait. We discuss the advantages and disadvantages of several potential phenotypic measures of dynamic whole-organism performance that may be used in life-history studies, including direct performance measures; metabolic rates; ecological cost of transport; and changes in metabolic rate after training. We use the first approach, direct performance measures, to show trade-offs between endurance capacity and several traditional life history variables in phrynosomatid lizards. The largest problem currently in determining the costs of performance traits and how those costs might lead to life-history trade-offs is that there are estimates of performance costs in very few taxa, and when there are, those species typically are not studied with respect to "traditional" life-history traits.
© The Author 2017. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.

Mesh:

Year:  2017        PMID: 28859402     DOI: 10.1093/icb/icx048

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  5 in total

1.  Recovery from discrete wound severities in side-blotched lizards (Uta stansburiana): implications for energy budget, locomotor performance, and oxidative stress.

Authors:  Spencer B Hudson; Emily E Virgin; Edmund D Brodie; Susannah S French
Journal:  J Comp Physiol B       Date:  2021-02-13       Impact factor: 2.200

2.  Immune activation affects whole-organism performance in male but not female green anole lizards (Anolis carolinensis).

Authors:  Jerry F Husak; Christine M Rohlf; Simon P Lailvaux
Journal:  J Comp Physiol B       Date:  2021-04-26       Impact factor: 2.200

3.  Experimentally enhanced performance decreases survival in nature.

Authors:  Jerry F Husak; Simon P Lailvaux
Journal:  Biol Lett       Date:  2019-04-26       Impact factor: 3.703

4.  Leptin ameliorates the immunity, but not reproduction, trade-off with endurance in lizards.

Authors:  Andrew Z Wang; Jerry F Husak; Matthew Lovern
Journal:  J Comp Physiol B       Date:  2019-01-21       Impact factor: 2.200

5.  Machine learning accurately predicts the multivariate performance phenotype from morphology in lizards.

Authors:  Simon P Lailvaux; Avdesh Mishra; Pooja Pun; Md Wasi Ul Kabir; Robbie S Wilson; Anthony Herrel; Md Tamjidul Hoque
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

  5 in total

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