Literature DB >> 12814777

Allometric cascade: a model for resolving body mass effects on metabolism.

Peter W Hochachka1, Charles-A Darveau, Russel D Andrews, Raul K Suarez.   

Abstract

Expanding upon a preliminary communication (Nature 417 (2002) 166), we here further develop a "multiple-causes model" of allometry, where the exponent b is the sum of the influences of multiple contributors to control. The relative strength of each contributor, with its own characteristic value of b(i), is determined by c(i), the control contribution or control coefficient. A more realistic equation for the scaling of metabolism with body size thus can be written as BMR=MR(0)Sigmac(i)(M/M(0))(bi), where MR(0) is the "characteristic metabolic rate" of an animal with a "characteristic body mass", M(0). With M(0) of 1 unit mass (usually kg), MR(0) takes the place of the value a, found in the standard scaling equation, b(i) is the scaling exponent of the process i, and c(i) is its control contribution to overall flux, or the control coefficient of the process i. One can think of this as an allometric cascade, with the b exponent for overall energy metabolism being determined by the b(i) and c(i) values for key steps in the complex pathways of energy demand and energy supply. Key intrinsic factors (such as neural and endocrine processes) or ecological extrinsic factors are considered to act through this system in affecting allometric scaling of energy turnover. Applying this model to maximum vs. BMR data for the first time explains the differing scaling behaviour of these two biological states in mammals, both in the absence and presence of intrinsic regulators such as thyroid hormones (for BMR) and catecholamines (for maximum metabolic rate).

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Year:  2003        PMID: 12814777     DOI: 10.1016/s1095-6433(02)00364-1

Source DB:  PubMed          Journal:  Comp Biochem Physiol A Mol Integr Physiol        ISSN: 1095-6433            Impact factor:   2.320


  18 in total

1.  Temperature effects on a whole metabolic reaction cannot be inferred from its components.

Authors:  José Guilherme Chaui-Berlinck; Carlos Arturo Navas; Luiz Henrique Alves Monteiro; José Eduardo Pereira Wilken Bicudo
Journal:  Proc Biol Sci       Date:  2004-07-07       Impact factor: 5.349

2.  Phenotypic plasticity in the scaling of avian basal metabolic rate.

Authors:  Andrew E McKechnie; Robert P Freckleton; Walter Jetz
Journal:  Proc Biol Sci       Date:  2006-04-22       Impact factor: 5.349

3.  The scaling and temperature dependence of vertebrate metabolism.

Authors:  Craig R White; Nicole F Phillips; Roger S Seymour
Journal:  Biol Lett       Date:  2006-03-22       Impact factor: 3.703

4.  Scaling metabolic rate fluctuations.

Authors:  Fabio A Labra; Pablo A Marquet; Francisco Bozinovic
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-19       Impact factor: 11.205

5.  Changes in body temperature influence the scaling of VO2max and aerobic scope in mammals.

Authors:  James F Gillooly; Andrew P Allen
Journal:  Biol Lett       Date:  2007-02-22       Impact factor: 3.703

6.  Age at first reproduction and growth rate are independent of basal metabolic rate in mammals.

Authors:  Barry G Lovegrove
Journal:  J Comp Physiol B       Date:  2008-12-12       Impact factor: 2.200

7.  Effect of body size on organ-specific mitochondrial respiration rate of the largemouth bronze gudgeon.

Authors:  Yiping Luo; Wen Wang; Yurong Zhang; Qingda Huang
Journal:  Fish Physiol Biochem       Date:  2012-09-21       Impact factor: 2.794

Review 8.  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

9.  Allometry of mitochondrial efficiency is set by metabolic intensity.

Authors:  Boël Mélanie; Romestaing Caroline; Voituron Yann; Roussel Damien
Journal:  Proc Biol Sci       Date:  2019-09-25       Impact factor: 5.349

10.  Individual variation and repeatability of basal metabolism in the bank vole, Clethrionomys glareolus.

Authors:  Marta K Labocha; Edyta T Sadowska; Katarzyna Baliga; Aleksandra K Semer; Paweł Koteja
Journal:  Proc Biol Sci       Date:  2004-02-22       Impact factor: 5.349

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