Testing the metabolic homeostasis hypothesis in amphibians
Author(s) -
Lucas E. Kreiman,
Jaiber J. SolanoIguaran,
Leonardo D. Bacigalupe,
Daniel E. Naya
Publication year - 2019
Publication title -
philosophical transactions of the royal society b biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.753
H-Index - 272
eISSN - 1471-2970
pISSN - 0962-8436
DOI - 10.1098/rstb.2018.0544
Subject(s) - biology , homeostasis , evolutionary biology , ecology , neuroscience , computational biology , microbiology and biotechnology
A number of hypotheses about compensatory mechanisms that allow ectothermic animals to cope with the latitudinal decrease in ambient temperature (T A ) have been proposed during the last century. One of these hypotheses, the ‘metabolic homeostasis’ hypothesis (MHH), states that species should show the highest thermal sensitivity of the metabolic rate (Q 10-SMR ) at the colder end of the range ofT A s they usually experience in nature. This way, species should be able to minimize maintenance costs during the colder hours of the day, but quickly take advantage of increases inT A during the warmer parts of the day. Here, we created a dataset that includesQ 10-SMR values for 58 amphibian species, assessed at four thermal ranges, to evaluate three predictions derived from the MHH. In line with this hypothesis, we found that: (i)Q 10-SMR values tended to be positively correlated with latitude when measured at lowerT A s, but negative correlated with latitude when measured at higherT A s, (ii)Q 10-SMR measured at lowerT A s were higher in temperate species, whereasQ 10-SMR measured at higherT A s were higher in tropical species, and (iii) the experimentalT A at whichQ 10-SMR was maximal for each species decreased with latitude. This is the first study to our knowledge showing that the relationship betweenQ 10-SMR and latitude in ectotherms changes with theT A at whichQ 10-SMR is assessed, as predicted from an adaptive hypothesis.This article is part of the theme issue ‘Physiological diversity, biodiversity patterns and global climate change: testing key hypotheses involving temperature and oxygen’.
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