Literature DB >> 30016170

Metabolic Scope as a Proximate Constraint on Individual Behavioral Variation: Effects on Personality, Plasticity, and Predictability.

Peter A Biro, Theodore Garland, Christa Beckmann, Beata Ujvari, Frederic Thomas, John R Post.   

Abstract

Behavioral ecologists have hypothesized that among-individual differences in resting metabolic rate (RMR) may predict consistent individual differences in mean values for costly behaviors or for behaviors that affect energy intake rate. This hypothesis has empirical support and presently attracts considerable attention, but, notably, it does not provide predictions for individual differences in (a) behavioral plasticity or (b) unexplained variation (residual variation from mean individual behavior, here termed predictability). We outline how consideration of aerobic maximum metabolic rate (MMR) and particularly aerobic scope (= MMR - RMR) can be used to simultaneously make predictions about mean and among- and within-individual variation in behavior. We predict that while RMR should be proportional to an individual's mean level of sustained behavioral activity (one aspect of its personality), individuals with greater aerobic scope will also have greater scope to express behavioral plasticity and/or greater unpredictability in behavior (=greater residual variation). As a first step toward testing these predictions, we analyze existing activity data from selectively bred lines of mice that differ in both daily activity and aerobic scope. We find that replicate high-scope mice are more active on average and show greater among-individual variation in activity, greater among-individual variation in plasticity, and greater unpredictability. These data provide some tentative first support for our hypothesis, suggesting that further research on this topic would be valuable.

Entities:  

Keywords:  behavior; consistent; metabolism; residual; within-individual

Mesh:

Year:  2018        PMID: 30016170     DOI: 10.1086/697963

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  9 in total

1.  Is repeatability of metabolic rate influenced by social separation? A test with a teleost fish.

Authors:  Yan Huang; Shijian Fu; Steven J Cooke; Jigang Xia
Journal:  Biol Lett       Date:  2020-04-29       Impact factor: 3.703

2.  Effects of short- and long-term cold acclimation on morphology, physiology, and exercise performance of California mice (Peromyscus californicus): potential modulation by fatherhood.

Authors:  Jacob R Andrew; Theodore Garland; Mark A Chappell; Meng Zhao; Wendy Saltzman
Journal:  J Comp Physiol B       Date:  2019-05-09       Impact factor: 2.200

3.  Personality as a Predictor of Time-Activity Budget in Lion-Tailed Macaques (Macaca silenus).

Authors:  Charlotte E Kluiver; Jolanda A de Jong; Jorg J M Massen; Debottam Bhattacharjee
Journal:  Animals (Basel)       Date:  2022-06-08       Impact factor: 3.231

4.  The size dependency of foraging behaviour: an empirical test performed on aquatic amphipods.

Authors:  Francesco Cozzoli; Milad Shokri; Sarah Boulamail; Vanessa Marrocco; Fabio Vignes; Alberto Basset
Journal:  Oecologia       Date:  2022-06-09       Impact factor: 3.298

5.  A novel perspective suggesting high sustained energy expenditure may be net protective against cancer.

Authors:  Peter A Biro; Frédéric Thomas; Beata Ujvari; Christa Beckmann
Journal:  Evol Med Public Health       Date:  2022-04-13

6.  Among-population divergence in personality is linked to altitude in plateau pikas (Ochotona curzoniae ).

Authors:  Jiapeng Qu; Denis Réale; Quinn E Fletcher; Yanming Zhang
Journal:  Front Zool       Date:  2019-07-08       Impact factor: 3.172

7.  Coevolution of body size and metabolic rate in vertebrates: a life-history perspective.

Authors:  Jan Kozłowski; Marek Konarzewski; Marcin Czarnoleski
Journal:  Biol Rev Camb Philos Soc       Date:  2020-06-10

8.  Significance of variation in basal metabolic rate in laboratory mice for translational experiments.

Authors:  Paweł Brzęk; Andrzej Gębczyński; Piotr Selewestruk; Aneta Książek; Julita Sadowska; Marek Konarzewski
Journal:  J Comp Physiol B       Date:  2021-09-30       Impact factor: 2.200

Review 9.  Understanding the unexplained: The magnitude and correlates of individual differences in residual variance.

Authors:  David J Mitchell; Christa Beckmann; Peter A Biro
Journal:  Ecol Evol       Date:  2021-05-03       Impact factor: 2.912

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.