» Articles » PMID: 38186273

Metabolic Scaling As an Emergent Outcome of Variation in Metabolic Rate

Overview
Specialty Biology
Date 2024 Jan 8
PMID 38186273
Authors
Affiliations
Soon will be listed here.
Abstract

The allometric scaling of metabolic rate and what drives it are major questions in biology with a long history. Since the metabolic rate at any level of biological organization is an emergent property of its lower-level constituents, it is an outcome of the intrinsic heterogeneity among these units and the interactions among them. However, the influence of lower-level heterogeneity on system-level metabolic rate is difficult to investigate, given the tightly integrated body plan of unitary organisms. In this context, social insects such as honeybees can serve as important model systems because unlike unitary organisms, these superorganisms can be taken apart and reassembled in different configurations to study metabolic rate and its various drivers at different levels of organization. This commentary discusses the background of such an approach and how combining it with artificial selection to generate heterogeneity in metabolic rate with an analytical framework to parse out the different mechanisms that contribute to the effects of heterogeneity can contribute to the various models of metabolic scaling. Finally, the absence of the typical allometric scaling relationship among different species of honeybees is discussed as an important prospect for deciphering the role of top-down ecological factors on metabolic scaling. This article is part of the theme issue 'The evolutionary significance of variation in metabolic rates'.

Citing Articles

Ontogeny of energy use in harvester ant colonies, and the metabolic expense of colony growth.

Guo X, Lynch C, Fewell J, Harrison J Proc Biol Sci. 2025; 292(2039):20242534.

PMID: 39837525 PMC: 11750369. DOI: 10.1098/rspb.2024.2534.


Consequences of the cost of living: is variation in metabolic rate evolutionarily significant?.

Pettersen A, Metcalfe N Philos Trans R Soc Lond B Biol Sci. 2024; 379(1896):20220498.

PMID: 38186277 PMC: 10772612. DOI: 10.1098/rstb.2022.0498.

References
1.
Isaac N, Carbone C . Why are metabolic scaling exponents so controversial? Quantifying variance and testing hypotheses. Ecol Lett. 2010; 13(6):728-35. DOI: 10.1111/j.1461-0248.2010.01461.x. View

2.
Crailsheim K, Panzenbock U . Glycogen in honeybee queens, workers and drones (Apis mellifera carnica Pollm.). J Insect Physiol. 1997; 43(2):155-165. DOI: 10.1016/s0022-1910(96)00079-0. View

3.
Weibel E, Hoppeler H . Exercise-induced maximal metabolic rate scales with muscle aerobic capacity. J Exp Biol. 2005; 208(Pt 9):1635-44. DOI: 10.1242/jeb.01548. View

4.
Lebeau J, Wesselingh R, Van Dyck H . Nectar resource limitation affects butterfly flight performance and metabolism differently in intensive and extensive agricultural landscapes. Proc Biol Sci. 2016; 283(1830). PMC: 4874717. DOI: 10.1098/rspb.2016.0455. View

5.
Wolf J, Brodie Iii E, Cheverud J, Moore A, Wade M . Evolutionary consequences of indirect genetic effects. Trends Ecol Evol. 2011; 13(2):64-9. DOI: 10.1016/s0169-5347(97)01233-0. View