Department of Molecular and Cell Biology, and Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269 U.S.A.
Department of Molecular and Cell Biology, and Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269 U.S.A
G3 (Bethesda). 2020 Jul 7;10(7):2207-2211. doi: 10.1534/g3.120.401235.
Nutrition is a major factor influencing many aspects of physiology. However, a wide range of diets, many of which are termed "standard" in the literature, are utilized for research, leading to inconsistencies in reporting of nutrition-dependent phenotypes across the field. This is especially evident in microbiome studies, as diet has a pivotal role in microbiome composition and resulting host-microbe interactions. Here, we performed a meta-analysis of diets used in fly microbiome research and provide a web-based tool for researchers to determine the nutritional content of diets of interest. While our meta-analysis primarily focuses on microbiome studies, our goal in developing these resources is to aid the broader community in contextualizing past and future studies across the scope of research to better understand how individual lab diets can contribute to observed phenotypes.
营养是影响许多生理学方面的主要因素。然而,研究中使用了广泛的饮食,其中许多在文献中被称为“标准”,这导致了营养依赖表型在整个领域的报告不一致。这在微生物组研究中尤为明显,因为饮食在微生物组组成和由此产生的宿主-微生物相互作用中起着关键作用。在这里,我们对用于果蝇微生物组研究的饮食进行了荟萃分析,并提供了一个基于网络的工具,供研究人员确定感兴趣的饮食的营养成分。虽然我们的荟萃分析主要集中在微生物组研究,但我们开发这些资源的目标是帮助更广泛的科学界在过去和未来的研究范围内对其进行背景分析,以更好地理解个体实验室饮食如何导致观察到的表型。