Literature DB >> 16329249

Quantitative genetics of bioenergetics and growth-related traits in the wild mammal, Phyllotis darwini.

Roberto F Nespolo1, Diego M Bustamante, Leonardo D Bacigalupe, Francisco Bozinovic.   

Abstract

We studied the potential for response to selection in typical physiological-thermoregulatory traits of mammals such as maximum metabolic rate (MMR), nonshivering thermogenesis (NST) and basal metabolic rate (BMR) on cold-acclimated animals. We used an animal model approach to estimate both narrow-sense heritabilities (h2) and genetic correlations between physiological and growth-related traits. Univariate analyses showed that MMR presented high, significant heritability (h2 = 0.69 +/- 0.35, asymptotic standard error), suggesting the potential for microevolution in this variable. However, NST and BMR presented low, nonsignificant h2, and NST showed large maternal/common environmental/nonadditive effects (c2 = 0.34 +/- 0.17). Heritabilities were large and significant (h2 > 0.5) for all growth-related traits (birth mass, growth rate, weaning mass). The only significant genetic correlations we found between a physiological trait and a growth-related trait was between NST and birth mass (r = -0.74; P < 0.05). Overall, these results suggest that additive genetic variance is present in several bioenergetic traits, and that genetic correlations could be present between those different kinds of traits.

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Year:  2005        PMID: 16329249

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


  21 in total

Review 1.  What causes intraspecific variation in resting metabolic rate and what are its ecological consequences?

Authors:  T Burton; S S Killen; J D Armstrong; N B Metcalfe
Journal:  Proc Biol Sci       Date:  2011-09-28       Impact factor: 5.349

2.  Genetic variances and covariances of aerobic metabolic rates in laboratory mice.

Authors:  Bernard Wone; Michael W Sears; Marta K Labocha; Edward R Donovan; Jack P Hayes
Journal:  Proc Biol Sci       Date:  2009-08-05       Impact factor: 5.349

Review 3.  Thermoregulation in endotherms: physiological principles and ecological consequences.

Authors:  Enrico L Rezende; Leonardo D Bacigalupe
Journal:  J Comp Physiol B       Date:  2015-05-30       Impact factor: 2.200

4.  A strong response to selection on mass-independent maximal metabolic rate without a correlated response in basal metabolic rate.

Authors:  B W M Wone; P Madsen; E R Donovan; M K Labocha; M W Sears; C J Downs; D A Sorensen; J P Hayes
Journal:  Heredity (Edinb)       Date:  2015-01-21       Impact factor: 3.821

Review 5.  How low can you go? An adaptive energetic framework for interpreting basal metabolic rate variation in endotherms.

Authors:  David L Swanson; Andrew E McKechnie; François Vézina
Journal:  J Comp Physiol B       Date:  2017-04-11       Impact factor: 2.200

6.  Contributions of phenotypic plasticity to differences in thermogenic performance between highland and lowland deer mice.

Authors:  Zachary A Cheviron; Gwendolyn C Bachman; Jay F Storz
Journal:  J Exp Biol       Date:  2012-11-29       Impact factor: 3.312

Review 7.  Determinants of inter-specific variation in basal metabolic rate.

Authors:  Craig R White; Michael R Kearney
Journal:  J Comp Physiol B       Date:  2012-09-23       Impact factor: 2.200

8.  Performance correlates of resting metabolic rate in garden skinks Lampropholis delicata.

Authors:  Lucy Merritt; Philip G D Matthews; Craig R White
Journal:  J Comp Physiol B       Date:  2013-01-20       Impact factor: 2.200

9.  Energetic mechanisms for coping with changes in resource availability.

Authors:  Sonya K Auer; Julia R Solowey; Shreyas Rajesh; Enrico L Rezende
Journal:  Biol Lett       Date:  2020-11-04       Impact factor: 3.703

10.  Genetic modulation of energy metabolism in birds through mitochondrial function.

Authors:  B Irene Tieleman; Maaike A Versteegh; Anthony Fries; Barbara Helm; Niels J Dingemanse; H Lisle Gibbs; Joseph B Williams
Journal:  Proc Biol Sci       Date:  2009-02-25       Impact factor: 5.349

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