Pettersen Amanda K, Marshall Dustin J, White Craig R
School of Biological Sciences/Centre for Geometric Biology, Monash University, Melbourne, VIC 3800, Australia
School of Biological Sciences/Centre for Geometric Biology, Monash University, Melbourne, VIC 3800, Australia.
J Exp Biol. 2018 Jan 11;221(Pt 1):jeb166876. doi: 10.1242/jeb.166876.
Metabolic rate reflects an organism's capacity for growth, maintenance and reproduction, and is likely to be a target of selection. Physiologists have long sought to understand the causes and consequences of within-individual to among-species variation in metabolic rates - how metabolic rates relate to performance and how they should evolve. Traditionally, this has been viewed from a mechanistic perspective, relying primarily on hypothesis-driven approaches. A more agnostic, but ultimately more powerful tool for understanding the dynamics of phenotypic variation is through use of the breeder's equation, because variation in metabolic rate is likely to be a consequence of underlying microevolutionary processes. Here we show that metabolic rates are often significantly heritable, and are therefore free to evolve under selection. We note, however, that 'metabolic rate' is not a single trait: in addition to the obvious differences between metabolic levels (e.g. basal, resting, free-living, maximal), metabolic rate changes through ontogeny and in response to a range of extrinsic factors, and is therefore subject to multivariate constraint and selection. We emphasize three key advantages of studying metabolic rate within a quantitative genetics framework: its formalism, and its predictive and comparative power. We make several recommendations when applying a quantitative genetics framework: (i) measuring selection based on actual fitness, rather than proxies for fitness; (ii) considering the genetic covariances between metabolic rates throughout ontogeny; and (iii) estimating genetic covariances between metabolic rates and other traits. A quantitative genetics framework provides the means for quantifying the evolutionary potential of metabolic rate and why variance in metabolic rates within populations might be maintained.
代谢率反映了生物体的生长、维持和繁殖能力,很可能是自然选择的一个目标。长期以来,生理学家一直试图理解个体内部到物种间代谢率变化的原因和后果——代谢率如何与表现相关,以及它们应该如何进化。传统上,这是从机制的角度来看待的,主要依赖于假设驱动的方法。一种更不可知论但最终更强大的理解表型变异动态的工具是通过使用育种者方程,因为代谢率的变化很可能是潜在微观进化过程的结果。在这里,我们表明代谢率通常具有显著的遗传性,因此在选择作用下能够自由进化。然而,我们注意到,“代谢率”不是一个单一的性状:除了代谢水平之间的明显差异(例如基础代谢、静息代谢、自由活动代谢、最大代谢)之外,代谢率在个体发育过程中以及对一系列外在因素的反应中都会发生变化,因此受到多变量的限制和选择。我们强调在数量遗传学框架内研究代谢率的三个关键优势:其形式化、预测能力和比较能力。在应用数量遗传学框架时,我们提出了几点建议:(i)基于实际适合度而非适合度代理来衡量选择;(ii)考虑整个个体发育过程中代谢率之间的遗传协方差;(iii)估计代谢率与其他性状之间的遗传协方差。数量遗传学框架提供了量化代谢率进化潜力以及种群内代谢率方差为何可能维持的方法。