Comparative analyses of basal rate of metabolism in mammals: data selection does matter.

Détails

ID Serval
serval:BIB_8D4EA6D6A348
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Titre
Comparative analyses of basal rate of metabolism in mammals: data selection does matter.
Périodique
Biological reviews of the Cambridge Philosophical Society
Auteur(s)
Genoud M., Isler K., Martin R.D.
ISSN
1469-185X (Electronic)
ISSN-L
0006-3231
Statut éditorial
Publié
Date de publication
02/2018
Peer-reviewed
Oui
Volume
93
Numéro
1
Pages
404-438
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Basal rate of metabolism (BMR) is a physiological parameter that should be measured under strictly defined experimental conditions. In comparative analyses among mammals BMR is widely used as an index of the intensity of the metabolic machinery or as a proxy for energy expenditure. Many databases with BMR values for mammals are available, but the criteria used to select metabolic data as BMR estimates have often varied and the potential effect of this variability has rarely been questioned. We provide a new, expanded BMR database reflecting compliance with standard criteria (resting, postabsorptive state; thermal neutrality; adult, non-reproductive status for females) and examine potential effects of differential selectivity on the results of comparative analyses. The database includes 1739 different entries for 817 species of mammals, compiled from the original sources. It provides information permitting assessment of the validity of each estimate and presents the value closest to a proper BMR for each entry. Using different selection criteria, several alternative data sets were extracted and used in comparative analyses of (i) the scaling of BMR to body mass and (ii) the relationship between brain mass and BMR. It was expected that results would be especially dependent on selection criteria with small sample sizes and with relatively weak relationships. Phylogenetically informed regression (phylogenetic generalized least squares, PGLS) was applied to the alternative data sets for several different clades (Mammalia, Eutheria, Metatheria, or individual orders). For Mammalia, a 'subsampling procedure' was also applied, in which random subsamples of different sample sizes were taken from each original data set and successively analysed. In each case, two data sets with identical sample size and species, but comprising BMR data with different degrees of reliability, were compared. Selection criteria had minor effects on scaling equations computed for large clades (Mammalia, Eutheria, Metatheria), although less-reliable estimates of BMR were generally about 12-20% larger than more-reliable ones. Larger effects were found with more-limited clades, such as sciuromorph rodents. For the relationship between BMR and brain mass the results of comparative analyses were found to depend strongly on the data set used, especially with more-limited, order-level clades. In fact, with small sample sizes (e.g. <100) results often appeared erratic. Subsampling revealed that sample size has a non-linear effect on the probability of a zero slope for a given relationship. Depending on the species included, results could differ dramatically, especially with small sample sizes. Overall, our findings indicate a need for due diligence when selecting BMR estimates and caution regarding results (even if seemingly significant) with small sample sizes.
Mots-clé
Aging, Animals, Body Temperature Regulation, Energy Metabolism/physiology, Mammals, Sample Size, Selection Bias, Species Specificity, BMR, allometric scaling, basal rate of metabolism, brain, encephalization, mammals, phylogenetic generalized least-squares regression
Pubmed
Web of science
Création de la notice
08/08/2017 13:13
Dernière modification de la notice
15/04/2019 10:59
Données d'usage