Literature DB >> 28564873

THE EVOLUTION OF ENDOTHERMY: TESTING THE AEROBIC CAPACITY MODEL.

Jack P Hayes1, Theodore Garland2.   

Abstract

One of the most important events in vertebrate evolution was the acquisition of endothermy, the ability to use metabolic heat production to elevate body temperature above environmental temperature. Several verbal models have been proposed to explain the selective factors leading to the evolution of endothermy. Of these, the aerobic capacity model has received the most attention in recent years. The aerobic capacity model postulates that selection acted mainly to increase maximal aerobic capacity (or associated behavioral abilities) and that elevated resting metabolic rate evolved as a correlated response. Here we evaluate the implicit evolutionary and genetic assumptions of the aerobic capacity model. In light of this evaluation, we assess the utility of phenotypic and genetic correlations for testing the aerobic capacity model. Collectively, the available intraspecific data for terrestrial vertebrates support the notion of a positive phenotypic correlation between resting and maximal rates of oxygen consumption within species. Interspecific analyses provide mixed support for this phenotypic correlation. We argue, however, that assessments of phenotypic or genetic correlations within species and evolutionary correlations among species (from comparative data) are of limited utility, because they may not be able to distinguish between the aerobic capacity model and plausible alternatives, such as selection acting directly on aspects of thermoregulatory abilities. We suggest six sources of information that may help shed light on the selective factors important during the evolution of high aerobic metabolic rates and, ultimately, the attainment of endothermy. Of particular interest will be attempts to determine, using a combination of mechanistic physiological and quantitative-genetic approaches, whether a positive genetic correlation between resting and maximal rates of oxygen consumption is an ineluctable feature of vertebrate physiology. © 1995 The Society for the Study of Evolution.

Entities:  

Keywords:  Aerobic capacity; comparative method; endurance; evolution of endothermy; genetic correlation; locomotion; maximal aerobic metabolism; metabolism; quantitative genetics; resting metabolism

Year:  1995        PMID: 28564873     DOI: 10.1111/j.1558-5646.1995.tb02320.x

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


  34 in total

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2.  Seasonal thermoregulatory responses in mammals.

Authors:  Barry G Lovegrove
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Review 3.  How low can you go? An adaptive energetic framework for interpreting basal metabolic rate variation in endotherms.

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Review 4.  Determinants of inter-specific variation in basal metabolic rate.

Authors:  Craig R White; Michael R Kearney
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5.  Performance correlates of resting metabolic rate in garden skinks Lampropholis delicata.

Authors:  Lucy Merritt; Philip G D Matthews; Craig R White
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6.  Energetic mechanisms for coping with changes in resource availability.

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Journal:  Biol Lett       Date:  2020-11-04       Impact factor: 3.703

7.  Climate and foraging mode explain interspecific variation in snake metabolic rates.

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Journal:  Proc Biol Sci       Date:  2017-11-29       Impact factor: 5.349

8.  Universal metabolic constraints shape the evolutionary ecology of diving in animals.

Authors:  Wilco C E P Verberk; Piero Calosi; François Brischoux; John I Spicer; Theodore Garland; David T Bilton
Journal:  Proc Biol Sci       Date:  2020-05-27       Impact factor: 5.349

9.  Maximal thermogenic capacity and non-shivering thermogenesis in the South American subterranean rodent Ctenomys talarum.

Authors:  Facundo Luna; Pilar Roca; Jordi Oliver; C Daniel Antenucci
Journal:  J Comp Physiol B       Date:  2012-05-22       Impact factor: 2.200

10.  Heritable variation in reaction norms of metabolism and activity across temperatures in a wild-derived population of white-footed mice (Peromyscus leucopus).

Authors:  Paul A Kaseloo; Madelyn G Crowell; Paul D Heideman
Journal:  J Comp Physiol B       Date:  2014-02-19       Impact factor: 2.200

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