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生牛乳和商业阿尔卑斯奶牛的粪便微生物群随牛群、脂肪含量和饮食而变化。

Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet.

机构信息

Department of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.

Department of Veterinary Medicine, Universiy of Milan, Milan, Italy.

出版信息

PLoS One. 2020 Aug 6;15(8):e0237262. doi: 10.1371/journal.pone.0237262. eCollection 2020.

Abstract

The factors that influence the diversity and composition of raw milk and fecal microbiota in healthy commercial dairy herds are not fully understood, partially because the majority of metataxonomic studies involve experimental farms and/or single factors. We analyzed the raw milk and fecal microbiota of 100 healthy cows from 10 commercial alpine farms from the Province of Trento, Italy, using metataxonomics and applied statistical modelling to investigate which extrinsic and intrinsic parameters (e.g. herd, diet and milk characteristics) correlated with microbiota richness and composition in these relatively small traditional farms. We confirmed that Firmicutes, Ruminococcaceae and Lachnospiraceae families dominated the fecal and milk samples of these dairy cows, but in addition, we found an association between the number of observed OTUs and Shannon entropy on each farm that indicates higher microbiota richness is associated with increased microbiota stability. Modelling showed that herd was the most significant factor affecting the variation in both milk and fecal microbiota composition. Furthermore, the most important predictors explaining the variation of microbiota richness were milk characteristics (i.e. percentage fat) and diet for milk and fecal samples, respectively. We discuss how high intra-herd variation could affect the development of treatments based on microbiota manipulation.

摘要

影响健康商业奶牛场原料奶和粪便微生物群多样性和组成的因素尚未完全阐明,部分原因是大多数分类群研究涉及实验农场和/或单一因素。我们使用分类组学分析了来自意大利特伦蒂诺省 10 个商业高山农场的 100 头健康奶牛的原料奶和粪便微生物群,并应用统计模型研究了哪些外在和内在参数(例如畜群、饮食和牛奶特性)与这些相对较小的传统农场的微生物群丰富度和组成相关。我们证实,厚壁菌门、瘤胃球菌科和毛螺菌科在这些奶牛的粪便和奶样中占主导地位,但除此之外,我们还发现每个农场观察到的 OTU 数量与香农熵之间存在关联,这表明更高的微生物群丰富度与更高的微生物群稳定性相关。模型表明,畜群是影响牛奶和粪便微生物群组成变化的最显著因素。此外,解释微生物群丰富度变化的最重要预测因子分别是奶样中的脂肪百分比和饮食,以及粪样中的饮食。我们讨论了高畜群内变异性如何影响基于微生物群操作的治疗方法的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83f/7410245/6a0dd8892851/pone.0237262.g001.jpg

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