Evidence map›Paper›PMID 32760129›Full record

ArticlePloS one2020

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

Francesca Albonico, Claudia Barelli, Davide Albanese, Mattia Manica, Erika Partel, Fausta Rosso, Silvia Ripellino, Massimo Pindo, Claudio Donati, Alfonso Zecconi and 2 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
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  13. Composition of Fecal Microbiota in Grazing and Feedlot Angus Beef Cattle.Animals : an open access journal from MDPI · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Francesca AlbonicoDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.
Claudia BarelliDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.ORCID 0000-0002-5979-3442
Davide AlbaneseUnit of Computational Biology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.
Mattia ManicaDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.ORCID 0000-0003-3709-1199
Erika PartelTechnology Transfer Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.
Fausta RossoDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.
Silvia RipellinoDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.
Massimo PindoDepartment of Genomics and Biology of Fruit Crops, Research and Innovation Centre, Fondazione Edmund Mach, S. Michele all' Adige (TN), Trento, Italy.
Claudio DonatiUnit of Computational Biology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.
Alfonso ZecconiDepartment of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, Milan, Italy.ORCID 0000-0002-3127-8385
Michele MortarinoDepartment of Veterinary Medicine, Universiy of Milan, Milan, Italy.
Heidi C HauffeDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DairyingAnimal FeedAnimalsBacteriaCattleDietFatsFecesFemaleMicrobiotaMilkFats

Identifiers

PMID32760129
PMCPMC7410245

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.