Physical mechanism or evolutionary trade-off? Factors dictating the relationship between metabolic rate and ambient temperature in carabid beetles

Gudowska, Agnieszka; Schramm, Bartosz W.; Czarnołęski, Marcin; Kozłowski, Jan; Bauchinger, Ulf

doi:10.1016/j.jtherbio.2016.11.009

Cited by 11 publications

(10 citation statements)

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“…For example, a study of the catfish Silurus meridionalis showed that body size and temperature do not have independent effects on metabolic rate, as assumed by the MTE, but rather have significant interactive effects [73]. This study supported extensive past and recent work showing that the metabolic scaling slope in ectothermic organisms often varies with ambient temperature ( [19,20,54,56,57,59,[72][73][74][75][76]; also see Section 3.4), which has been ignored by proponents of the MTE. Therefore, multivariate models incorporating the effects of body size and temperature on metabolic rate should include an interactive term (e.g., [73,74]).…”

Section: Multivariate Effects Of Body Size and Temperature (And Othersupporting

confidence: 67%

“…Many investigators (but surprisingly not Kleiber himself, a founder of the 3/4-power law) rejected the thermoregulatory surface-area model of metabolic scaling, because it seemed incapable of explaining 3/4-power scaling, especially in ectothermic organisms that do not actively maintain constant body temperatures (see also [20]). Furthermore, the metabolic scaling slope does not necessarily approximate the theoretical values of 2/3 or 3/4, but may vary extensively between ~0 and >1, in association with differences in taxonomic affiliation, lifestyle, developmental stage, physiological status, and various ecological factors (e.g., [19,20,23,24,26,27,32,34,39,[44][45][46][47][48][49][54][55][56][57][58][59][60][61][72][73][74][75][76][99][100][101][102][103][104][105][106][107][117][118][119][120][121]). …”

Section: Surface-area Modelsmentioning

confidence: 99%

“…In addition, the MLBH predicts that surface-area-related resource uptake and metabolic waste excretion (or heat loss) should most influence the scaling of resting metabolic rate when the metabolic intensity of an animal is high. This hypothesis predicts that the scaling exponent should decrease (approaching 2/3) with increasing resting metabolic level, as has been frequently observed both within and among species with respect to differences in lifestyle, physiological status and ambient temperature [19,39,[54][55][56][57]59,[72][73][74][75][76].…”

Section: Surface-area Modelsmentioning

confidence: 99%

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Rediscovering and Reviving Old Observations and Explanations of Metabolic Scaling in Living Systems

Glazier

2018

Systems

112

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Why the rate of metabolism varies (scales) in regular, but diverse ways with body size is a perennial, incompletely resolved question in biology. In this article, I discuss several examples of the recent rediscovery and (or) revival of specific metabolic scaling relationships and explanations for them previously published during the nearly 200-year history of allometric studies. I carry out this discussion in the context of the four major modal mechanisms highlighted by the contextual multimodal theory (CMT) that I published in this journal four years ago. These mechanisms include metabolically important processes and their effects that relate to surface area, resource transport, system (body) composition, and resource demand. In so doing, I show that no one mechanism can completely explain the broad diversity of metabolic scaling relationships that exists. Multi-mechanistic models are required, several of which I discuss. Successfully developing a truly general theory of biological scaling requires the consideration of multiple hypotheses, causal mechanisms and scaling relationships, and their integration in a context-dependent way. A full awareness of the rich history of allometric studies, an openness to multiple perspectives, and incisive experimental and comparative tests can help this important quest.

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Section: Multivariate Effects Of Body Size and Temperature (And Othersupporting

confidence: 67%

Section: Surface-area Modelsmentioning

confidence: 99%

Section: Surface-area Modelsmentioning

confidence: 99%

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Rediscovering and Reviving Old Observations and Explanations of Metabolic Scaling in Living Systems

Glazier

2018

Systems

112

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“…Of the day and night measurements of each individual beetle, only the one (day or night) with the lower MR was selected for further analysis. Three different gas exchange patterns -DGE, cyclic and continuouswere determined based on the VĊ O2 , as defined by Marais et al (2005) and Chown (2011) with modifications by Gudowska et al (2016Gudowska et al ( , 2017. First, the gas exchange patterns were classified as continuous when half or more of the records were above the average value, and second, periodic patterns (DGE or cyclic) were recognized as regular peaks and troughs in gas exchange and when less than 30% of the data was above the average.…”

Section: Data Extraction and Analysesmentioning

confidence: 99%

Mass scaling of metabolic rates in carabid beetles (Carabidae) – the importance of phylogeny, regression models and gas exchange patterns

Gudowska

Schramm

Czarnołęski

et al. 2017

Journal of Experimental Biology

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The origin of the allometric relationship between standard metabolic rate (MR) and body mass (), often described as MR= , remains puzzling, and interpretation of the mass-scaling exponent, may depend on the methodological approach, shapes of residuals, coefficient of determination () and sample size. We investigated the mass scaling of MRs within and between species of Carabidae beetles. We used ordinary least squares (OLS) regression, phylogenetically generalized least squares (PGLS) regression and standardized major axis (SMA) regression to explore the effects of different model-fitting methods and data clustering caused by phylogenetic clades (grade shift) and gas exchange patterns (discontinuous, cyclic and continuous). At the interspecific level, the relationship between MR and was either negatively allometric (<1) or isometric (=1), depending on the fitting method. At the intraspecific level, the relationship either did not exist or was isometric or positively allometric (>1), and the fit was significantly improved after the analyzed dataset was split according to gas exchange patterns. The studied species originated from two distinct phylogenetic clades that had different intercepts but a common scaling exponent (OLS, 0.61) that was much shallower than the scaling exponent for the combined dataset for all species (OLS, 0.71). The best scaling exponent estimates were obtained by applying OLS while accounting for grade shifts or by applying PGLS. Overall, we show that allometry of MR in insects can depend heavily on the model fitting method, the structure of phylogenetic non-independence and ecological factors that elicit different modes of gas exchange.

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“…However, a number of studies suggest that evolutionary trade-offs in RMR should be taken into account, because it can manifest as changes in the RMR-weight relationship, RMR-temperature relationship and even gas exchange patterns (e.g. Reinhold, 1999; Glazier, 2005; Terblanche et al, 2007; Gudowska et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Intraspecific variation in metabolic rate and its correlation with local environment in the Chinese scorpionMesobuthus martensii

Wang

Zhang

2019

Biology Open

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Scorpions are well known for their reduced resting metabolic rate (RMR) in comparison to typical arthropods. Since RMR is a key physiological trait linked with evolutionary fitness, it is expected that there may exist intraspecific RMR variation given the ecological and geographical heterogeneities across the distributional range of a species. Nevertheless, it is unclear whether RMR variation exists among scorpion populations. Here, we compared the RMR (VCO 2 ) of 21 populations of the Chinese scorpion Mesobuthus martensii (Scorpiones: Buthidae) at 25°C after at least 3 months of laboratory acclimation. The following results were obtained. First, there was significant difference in RMR between sexes when body-weight effects were factored out. Second, significant local variation in RMR was detected by analyses of both variance and covariance, with one population showing significantly reduced RMR and another significantly increased RMR. Third, regression analysis indicated that the local mean temperature and mean annual days of rainfall were the two significant factors associated with the aforementioned inter-population difference in RMR. The implication of such an association was discussed.

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Physical mechanism or evolutionary trade-off? Factors dictating the relationship between metabolic rate and ambient temperature in carabid beetles

Cited by 11 publications

References 50 publications

Rediscovering and Reviving Old Observations and Explanations of Metabolic Scaling in Living Systems

Rediscovering and Reviving Old Observations and Explanations of Metabolic Scaling in Living Systems

Mass scaling of metabolic rates in carabid beetles (Carabidae) – the importance of phylogeny, regression models and gas exchange patterns

Intraspecific variation in metabolic rate and its correlation with local environment in the Chinese scorpionMesobuthus martensii

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