利用荟萃分析了解膳食蛋白质和脂肪含量对家犬粪便微生物群组成的影响:一项试点研究。

IF 3.9 3区 生物学 Q2 MICROBIOLOGY
MicrobiologyOpen Pub Date : 2024-03-21 DOI:10.1002/mbo3.1404
Francis D. Phimister, Rachel C. Anderson, David G. Thomas, Michelle J. Farquhar, Paul Maclean, Ruy Jauregui, Wayne Young, Christina F. Butowski, Emma N. Bermingham
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引用次数: 0

摘要

在包括家犬在内的各种宿主物种中,饮食与粪便微生物群组成之间的相互作用正引起越来越多的关注。虽然膳食宏量营养素及其相关微生物群落的影响已被广泛综述,但这些综述都是描述性的,没有考虑到微生物群落分析的差异,也没有对不同研究中的宏量营养素含量进行标准化。为此,我们进行了一项荟萃分析,以评估膳食粗蛋白("蛋白质")和膳食粗脂肪("脂肪")对健康狗粪便微生物群组成的影响。有 16 篇文献符合荟萃分析的资格标准,最终获得了 314 只狗的数据集。日粮的蛋白质或脂肪含量被分为低、中、高或超高。从公共数据库中检索了每篇论文的序列数据,并使用一致的生物信息学管道进行了重新分析。群落多样性指数分析和主坐标分析法对数据进行的无监督聚类显示,在整个群落水平上,蛋白质和脂肪含量之间的影响很小,而且完全重叠。通过随机森林分析和偏最小二乘判别分析进行的有监督聚类表明,粪便微生物群组成在更个体化的分类水平上发生了变化,与蛋白质或脂肪水平相对应。前孢子菌科 Ga6A1 组和肠球菌与蛋白质含量的增加有关,而 Allobaculum 和严格意义上的梭状芽孢杆菌 13 则与脂肪含量的增加有关。有趣的是,随机森林分析表明,尽管沙佩氏菌在狗粪便微生物组中的相对丰度较低,但它却是蛋白质和脂肪微生物组分离的主要原因。未来的研究应侧重于验证和了解这些相对低丰度菌属的功能作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using meta-analysis to understand the impacts of dietary protein and fat content on the composition of fecal microbiota of domestic dogs (Canis lupus familiaris): A pilot study

Using meta-analysis to understand the impacts of dietary protein and fat content on the composition of fecal microbiota of domestic dogs (Canis lupus familiaris): A pilot study

The interplay between diet and fecal microbiota composition is garnering increased interest across various host species, including domestic dogs. While the influence of dietary macronutrients and their associated microbial communities have been extensively reviewed, these reviews are descriptive and do not account for differences in microbial community analysis, nor do they standardize macronutrient content across studies. To address this, a meta-analysis was performed to assess the impact of dietary crude protein (“protein”) and dietary crude fat (“fat”) on the fecal microbiota composition in healthy dogs. Sixteen publications met the eligibility criteria for the meta-analysis, yielding a final data set of 314 dogs. Diets were classed as low, moderate, high, or supra in terms of protein or fat content. Sequence data from each publication were retrieved from public databases and reanalyzed using consistent bioinformatic pipelines. Analysis of community diversity indices and unsupervised clustering of the data with principal coordinate analysis revealed a small effect size and complete overlap between protein and fat levels at the overall community level. Supervised clustering through random forest analysis and partial least squares-discriminant analysis indicated alterations in the fecal microbiota composition at a more individual taxonomic level, corresponding to the levels of protein or fat. The Prevotellaceae Ga6A1 group and Enterococcus were associated with increasing levels of protein, while Allobaculum and Clostridium sensu stricto 13 were associated with increasing levels of fat. Interestingly, the random forest analyses revealed that Sharpea, despite its low relative abundance in the dog's fecal microbiome, was primarily responsible for the separation of the microbiome for both protein and fat. Future research should focus on validating and understanding the functional roles of these relatively low-abundant genera.

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来源期刊
MicrobiologyOpen
MicrobiologyOpen MICROBIOLOGY-
CiteScore
8.00
自引率
0.00%
发文量
78
审稿时长
20 weeks
期刊介绍: MicrobiologyOpen is a peer reviewed, fully open access, broad-scope, and interdisciplinary journal delivering rapid decisions and fast publication of microbial science, a field which is undergoing a profound and exciting evolution in this post-genomic era. The journal aims to serve the research community by providing a vehicle for authors wishing to publish quality research in both fundamental and applied microbiology. Our goal is to publish articles that stimulate discussion and debate, as well as add to our knowledge base and further the understanding of microbial interactions and microbial processes. MicrobiologyOpen gives prompt and equal consideration to articles reporting theoretical, experimental, applied, and descriptive work in all aspects of bacteriology, virology, mycology and protistology, including, but not limited to: - agriculture - antimicrobial resistance - astrobiology - biochemistry - biotechnology - cell and molecular biology - clinical microbiology - computational, systems, and synthetic microbiology - environmental science - evolutionary biology, ecology, and systematics - food science and technology - genetics and genomics - geobiology and earth science - host-microbe interactions - infectious diseases - natural products discovery - pharmaceutical and medicinal chemistry - physiology - plant pathology - veterinary microbiology We will consider submissions across unicellular and cell-cluster organisms: prokaryotes (bacteria, archaea) and eukaryotes (fungi, protists, microalgae, lichens), as well as viruses and prions infecting or interacting with microorganisms, plants and animals, including genetic, biochemical, biophysical, bioinformatic and structural analyses. The journal features Original Articles (including full Research articles, Method articles, and Short Communications), Commentaries, Reviews, and Editorials. Original papers must report well-conducted research with conclusions supported by the data presented in the article. We also support confirmatory research and aim to work with authors to meet reviewer expectations. MicrobiologyOpen publishes articles submitted directly to the journal and those referred from other Wiley journals.
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