Evidence map›Paper›PMID 33552010›Full record

ArticleFrontiers in microbiology2020

Unravelling the Role of Rumen Microbial Communities, Genes, and Activities on Milk Fatty Acid Profile Using a Combination of Omics Approaches.

Sokratis Stergiadis, Irene Cabeza-Luna, Marina Mora-Ortiz, Robert D Stewart, Richard J Dewhurst, David J Humphries, Mick Watson, Rainer Roehe, Marc D Auffret

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  12. TheFrontiers in microbiology · 2023
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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

9 authors.

Sokratis StergiadisSchool of Agriculture, Policy and Development, Department of Animal Sciences, University of Reading, Animal, Dairy and Food Chain Sciences, Reading, United Kingdom.
Irene Cabeza-LunaSchool of Agriculture, Policy and Development, Department of Animal Sciences, University of Reading, Animal, Dairy and Food Chain Sciences, Reading, United Kingdom.
Marina Mora-OrtizSchool of Agriculture, Policy and Development, Department of Animal Sciences, University of Reading, Animal, Dairy and Food Chain Sciences, Reading, United Kingdom.
Robert D StewartThe Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
Richard J DewhurstDairy Research and Innovation Centre, Scotland's Rural College (SRUC), Dumfries, United Kingdom.
David J HumphriesCentre for Dairy Research, University of Reading, Reading, United Kingdom.
Mick WatsonThe Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
Rainer RoeheBeef and Sheep Research Centre, Scotland's Rural College (SRUC), Roslin Institute Building, Edinburgh, United Kingdom.
Marc D AuffretBeef and Sheep Research Centre, Scotland's Rural College (SRUC), Roslin Institute Building, Edinburgh, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Milk products are an important component of human diets, with beneficial effects for human health, but also one of the major sources of nutritionally undesirable saturated fatty acids (SFA). Recent discoveries showing the importance of the rumen microbiome on dairy cattle health, metabolism and performance highlight that milk composition, and potentially milk SFA content, may also be associated with microorganisms, their genes and their activities. Understanding these mechanisms can be used for the development of cost-effective strategies for the production of milk with less SFA. This work aimed to compare the rumen microbiome between cows producing milk with contrasting FA profile and identify potentially responsible metabolic-related microbial mechanisms. Forty eight Holstein dairy cows were fed the same total mixed ration under the same housing conditions. Milk and rumen fluid samples were collected from all cows for the analysis of fatty acid profiles (by gas chromatography), the abundances of rumen microbiome communities and genes (by whole-genome-shotgun metagenomics), and rumen metabolome (using 500 MHz nuclear magnetic resonance). The following groups: (i) 24 High-SFA (66.9-74.4% total FA) vs. 24 Low-SFA (60.2-66.6%% total FA) cows, and (ii) 8 extreme High-SFA (69.9-74.4% total FA) vs. 8 extreme Low-SFA (60.2-64.0% total FA) were compared. Rumen of cows producing milk with more SFA were characterized by higher abundances of the lactic acid bacteria

Indexed as

cowmetabolomicsmetagenomicsmicrobial genesmilk fatty acidsrumen microbiomerumen stress

Identifiers

PMID33552010
PMCPMC7859430

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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.