Body mass and growth rates predict protein intake across animals.

IF 6.4 1区 生物学 Q1 BIOLOGY
eLife Pub Date : 2024-11-11 DOI:10.7554/eLife.88933
Stav Talal, Jon F Harrison, Ruth Farington, Jacob P Youngblood, Hector E Medina, Rick Overson, Arianne J Cease
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引用次数: 0

Abstract

Organisms require dietary macronutrients in specific ratios to maximize performance, and variation in macronutrient requirements plays a central role in niche determination. Although it is well recognized that development and body size can have strong and predictable effects on many aspects of organismal function, we lack a predictive understanding of ontogenetic or scaling effects on macronutrient intake. We determined protein and carbohydrate intake throughout development on lab populations of locusts and compared to late instars of field populations. Self-selected protein:carbohydrate targets declined dramatically through ontogeny, due primarily to declines in mass-specific protein consumption rates which were highly correlated with declines in specific growth rates. Lab results for protein consumption rates partly matched results from field-collected locusts. However, field locusts consumed nearly double the carbohydrate, likely due to higher activity and metabolic rates. Combining our results with the available data for animals, both across species and during ontogeny, protein consumption scaled predictably and hypometrically, demonstrating a new scaling rule key for understanding nutritional ecology.

体重和生长速度可预测动物的蛋白质摄入量。
生物体需要特定比例的膳食宏量营养素来最大限度地提高机能,而宏量营养素需求的变化在生态位决定中起着核心作用。尽管人们公认发育和体型会对生物体功能的许多方面产生强烈的、可预测的影响,但我们对本体发育或规模对宏量营养素摄入的影响缺乏预测性的了解。我们测定了蝗虫实验室种群在整个发育过程中的蛋白质和碳水化合物摄入量,并与野外种群的晚龄蝗虫进行了比较。自我选择的蛋白质:碳水化合物目标在整个发育过程中急剧下降,这主要是由于特定质量蛋白质消耗率的下降与特定生长率的下降高度相关。蛋白质消耗率的实验室结果与野外采集蝗虫的结果部分吻合。然而,野外蝗虫的碳水化合物消耗量几乎是实验室结果的两倍,这可能是由于蝗虫的活动量和新陈代谢率较高所致。将我们的结果与动物的现有数据相结合,无论是跨物种还是在本体发育过程中,蛋白质的消耗量都是可预测的,并呈低计量比例,这证明了一种新的比例规则,对于理解营养生态学至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
eLife
eLife BIOLOGY-
CiteScore
12.90
自引率
3.90%
发文量
3122
审稿时长
17 weeks
期刊介绍: eLife is a distinguished, not-for-profit, peer-reviewed open access scientific journal that specializes in the fields of biomedical and life sciences. eLife is known for its selective publication process, which includes a variety of article types such as: Research Articles: Detailed reports of original research findings. Short Reports: Concise presentations of significant findings that do not warrant a full-length research article. Tools and Resources: Descriptions of new tools, technologies, or resources that facilitate scientific research. Research Advances: Brief reports on significant scientific advancements that have immediate implications for the field. Scientific Correspondence: Short communications that comment on or provide additional information related to published articles. Review Articles: Comprehensive overviews of a specific topic or field within the life sciences.
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