新陈代谢的规模、能量分配的权衡以及人类独特新陈代谢的进化。

IF 9.4 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Andrew K Yegian, Steven B Heymsfield, Eric R Castillo, Manfred J Müller, Leanne M Redman, Daniel E Lieberman
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引用次数: 0

摘要

所有生物都要利用有限的能量来生长、生存和繁殖,因此必须对能量分配进行权衡,但关于选择如何影响灵长类动物(包括人类)的代谢预算和权衡,还存在争议。在这里,我们开发了一种方法来比较哺乳动物的新陈代谢率,即观察值与预期值之商,并根据体型、身体组成、环境温度和系统发育亲缘关系进行了校正。与之前的分析相反,这些商数显示,非人灵长类动物的总代谢率是类似环境中类似大小哺乳动物的预期代谢率。此外,来自几个小规模社会的数据显示,人类进化出了极高的静息、活动和总代谢率,这显然是通过克服静息和活动能量消耗之间的权衡而实现的,而其他灵长类动物则受到了这种权衡的限制。新陈代谢率的提高帮助人类扩大了大脑,加快了繁殖速度,延长了寿命,并提高了身体脂肪的比例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolic scaling, energy allocation tradeoffs, and the evolution of humans' unique metabolism.

All organisms use limited energy to grow, survive, and reproduce, necessitating energy allocation tradeoffs, but there is debate over how selection impacted metabolic budgets and tradeoffs in primates, including humans. Here, we develop a method to compare metabolic rates as quotients of observed relative to expected values for mammals corrected for size, body composition, environmental temperature, and phylogenetic relatedness. Contrary to previous analyses, these quotients reveal that nonhuman primates have total metabolic rates expected for similar-sized mammals in similar environments. In addition, data from several small-scale societies show that humans evolved exceptionally high resting, activity, and total metabolic rates apparently by overcoming tradeoffs between resting and active energy expenditures that constrain other primates. Enhanced metabolic rates help humans fuel expanded brains, faster reproductive rates, extended longevity, and high percentage of body fat.

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来源期刊
CiteScore
19.00
自引率
0.90%
发文量
3575
审稿时长
2.5 months
期刊介绍: The Proceedings of the National Academy of Sciences (PNAS), a peer-reviewed journal of the National Academy of Sciences (NAS), serves as an authoritative source for high-impact, original research across the biological, physical, and social sciences. With a global scope, the journal welcomes submissions from researchers worldwide, making it an inclusive platform for advancing scientific knowledge.
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