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

被引:18
作者
Albonico, Francesca [1 ,2 ,8 ]
Barelli, Claudia [1 ,3 ]
Albanese, Davide [4 ]
Manica, Mattia [1 ]
Partel, Erika [5 ]
Rosso, Fausta [1 ]
Ripellino, Silvia [1 ]
Pindo, Massimo [6 ]
Donati, Claudio [4 ]
Zecconi, Alfonso [7 ]
Mortarino, Michele [2 ]
Hauffe, Heidi C. [1 ]
机构
[1] Fdn Edmund Mach, Res & Innovat Ctr, Dept Biodivers & Mol Ecol, Trento, Italy
[2] Univ Milan, Dept Vet Med, Milan, Italy
[3] Univ Florence, Dept Biol, Florence, Italy
[4] Fdn Edmund Mach, Res & Innovat Ctr, Unit Computat Biol, Trento, Italy
[5] Fdn Edmund Mach, Technol Transfer Ctr, Trento, Italy
[6] Fdn Edmund Mach, Res & Innovat Ctr, Dept Genom & Biol Fruit Crops, Trento, Italy
[7] Univ Milan, Dept Biomed Surg & Dent Sci, Milan, Italy
[8] Stellenbosch Univ, Inst Wine Biotechnol, Dept Viticulture & Oenol, Matieland, South Africa
来源
PLOS ONE | 2020年 / 15卷 / 08期
关键词
BACTERIAL DIVERSITY; GUT MICROBIOTA; LACTATING DAIRY; CYSTIC-FIBROSIS; CATTLE; BUTYRATE; ORIGIN; HEALTH; BACTEROIDES; RESILIENCE;
D O I
10.1371/journal.pone.0237262
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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,RuminococcaceaeandLachnospiraceaefamilies 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.
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页数:21
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