Limited mass‐independent individual variation in resting metabolic rate in a wild population of snow voles (<i>Chionomys nivalis</i>)

Hagmayer, Andres; Camenisch, Glauco; Canale, Cindy I.; Postma, Erik; Bonnet, Timothée

doi:10.1111/jeb.13595

Cited by 4 publications

(6 citation statements)

References 61 publications

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“…In the present study, the scaling coefficients for MMR and AAS were slightly higher than those calculated for SMR (Table 1), supporting the suggestion that MMR often scales isometrically with mass (reviewed in Glazier, 2009). Partitioning the allometric slopes into among-and within-individual components (Hagmayer et al, 2020) shows that both sources of variation contribute to the overall relationships in F. grandis (J.E.R., personal observations).…”

Section: Mass Effects On Aerobic Metabolismsupporting

confidence: 86%

Plasticity, repeatability, and phenotypic correlations of aerobic metabolic traits in a small estuarine fish

Reemeyer

Rees

2020

Journal of Experimental Biology

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Standard metabolic rate (SMR), maximum metabolic rate (MMR), absolute aerobic scope (AAS) and critical oxygen tension (Pcrit) were determined for the Gulf killifish, Fundulus grandis, an ecologically dominant estuarine fish, acclimated to lowered salinity, elevated temperature and lowered oxygen concentration. Acclimation to low salinity resulted in a small, but significant, elevation of Pcrit (suggesting lower tolerance of hypoxia); acclimation to elevated temperature increased SMR, MMR, AAS and Pcrit; acclimation to low oxygen led to a small increase in SMR, but substantial decreases in MMR, AAS and Pcrit. Variation in these metabolic traits among individuals was consistent and repeatable when measured during multiple control exposures over 7 months. Trait repeatability was unaffected by acclimation condition, suggesting that repeatability of these traits is not context dependent. There were significant phenotypic correlations between specific metabolic traits: SMR was positively correlated with MMR and Pcrit; MMR was positively correlated with AAS; and AAS was negatively correlated with Pcrit. In general, within-individual variation contributed more than among-individual variation to these phenotypic correlations. The effects of acclimation on these traits demonstrate that aerobic metabolism is plastic and influenced by the conditions experienced by these fish in the dynamic habitats in which they occur; however, the repeatability of these traits and the correlations among them suggest that these traits change in ways that maintain the rank order of performance among individuals across a range of environmental variation.

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Section: Mass Effects On Aerobic Metabolismsupporting

confidence: 86%

Plasticity, repeatability, and phenotypic correlations of aerobic metabolic traits in a small estuarine fish

Reemeyer

Rees

2020

Journal of Experimental Biology

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“…A low b e might also reflect short-term within-individual variation in factors that influence BM but not MR, such as gut content, hydration level and low-MR tissues (e.g. fat; Hagmayer et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…Our focus in this study is on how a quantitative genetic perspective and (co)variance partitioning approach (e.g. Hagmayer et al, 2020) can increase our understanding of the evolution of metabolic scaling. Several quantitative genetic studies have already revealed that both MR and BM exhibit significant additive genetic variance (V A ; i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, a new genetically based estimate of the scaling slope between MR and BM is needed. Hagmayer et al (2020) used a (co)variance partitioning approach to estimate the mass-scaling exponent of MR at the among-versus withinindividual levels, but did not have the data needed to further partition the mass-scaling slope at the permanent environment and (additive) genetic levels. To our knowledge, only one study has estimated a mass-scaling exponent of MR based on the additive genetic variance and covariance of MR and BM, herein called the additive genetic scaling exponent (b A ).…”

Section: Introductionmentioning

confidence: 99%

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A quantitative genetics perspective on the body-mass scaling of metabolic rate

Careau

Glazier

2022

Journal of Experimental Biology

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Widely observed allometric scaling (log–log slope<1) of metabolic rate (MR) with body mass (BM) in animals has been frequently explained using functional mechanisms, but rarely studied from the perspective of multivariate quantitative genetics. This is unfortunate, given that the additive genetic slope (bA) of the MR–BM relationship represents the orientation of the ‘line of least genetic resistance’ along which MR and BM may most likely evolve. Here, we calculated bA in eight species. Although most bA values were within the range of metabolic scaling exponents reported in the literature, uncertainty of each bA estimate was large (only one bA was significantly lower than 3/4 and none were significantly different from 2/3). Overall, the weighted average for bA (0.667±0.098 95% CI) is consistent with the frequent observation that metabolic scaling exponents are negatively allometric in animals (b<1). Although bA was significantly positively correlated with the phenotypic scaling exponent (bP) across the sampled species, bP was usually lower than bA, as reflected in a (non-significantly) lower weighted average for bP (0.596±0.100). This apparent discrepancy between bA and bP resulted from relatively shallow MR–BM scaling of the residuals [weighted average residual scaling exponent (be)=0.503±0.128], suggesting regression dilution (owing to measurement error and within-individual variance) causing a downward bias in bP. Our study shows how the quantification of the genetic scaling exponent informs us about potential constraints on the correlated evolution of MR and BM, and by doing so has the potential to bridge the gap between micro- and macro-evolutionary studies of scaling allometry.

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“…However, such approaches are unable to separate the traits under selection (i.e., body mass, SMR, or both; Hayes 2001; Hagmayer et al. 2020), they ignore the possibility of correlational selection, and they can involve doing “statistics on statistics” that can fail to propagate uncertainty and may result in statistical bias (Garcia‐Berthou 2001; Morrissey 2014). Measuring fitness can also be challenging and past studies have tended to rely on components thereof.…”

Section: Discussionmentioning

confidence: 99%

Quantifying selection on standard metabolic rate and body mass in Drosophila melanogaster

et al. 2020

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Standard metabolic rate (SMR), defined as the minimal energy expenditure required for self‐maintenance, is a key physiological trait. Few studies have estimated its relationship with fitness, most notably in insects. This is presumably due to the difficulty of measuring SMR in a large number of very small individuals. Using high‐throughput flow‐through respirometry and a Drosophila melanogaster laboratory population adapted to a life cycle that facilitates fitness measures, we quantified SMR, body mass, and fitness in 515 female and 522 male adults. We used a novel multivariate approach to estimate linear and nonlinear selection differentials and gradients from the variance‐covariance matrix of fitness, SMR, and body mass, allowing traits specific covariates to be accommodated within a single model. In males, linear selection differentials for mass and SMR were positive and individually significant. Selection gradients were also positive but, despite substantial sample sizes, were nonsignificant due to increased uncertainty given strong SMR‐mass collinearity. In females, only nonlinear selection was detected and it appeared to act primarily on body size, although the individual gradients were again nonsignificant. Selection did not differ significantly between sexes although differences in the fitness surfaces suggest sex‐specific selection as an important topic for further study.

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Limited mass‐independent individual variation in resting metabolic rate in a wild population of snow voles (Chionomys nivalis)

Cited by 4 publications

References 61 publications

Plasticity, repeatability, and phenotypic correlations of aerobic metabolic traits in a small estuarine fish

Plasticity, repeatability, and phenotypic correlations of aerobic metabolic traits in a small estuarine fish

A quantitative genetics perspective on the body-mass scaling of metabolic rate

Quantifying selection on standard metabolic rate and body mass in Drosophila melanogaster

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