Evidence map›Paper›PMID 31440274›Full record

ArticleFrontiers in genetics2019

Identification of Rumen Microbial Genes Involved in Pathways Linked to Appetite, Growth, and Feed Conversion Efficiency in Cattle.

Joana Lima, Marc D Auffret, Robert D Stewart, Richard J Dewhurst, Carol-Anne Duthie, Timothy J Snelling, Alan W Walker, Tom C Freeman, Mick Watson, Rainer Roehe

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
10.1field-weighted citation impact, top 1% of its field
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

37 citing papers in PubMed, 98 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Joana LimaBeef and Sheep Research Centre, Future Farming Systems Group, Scotland's Rural College, Edinburgh, United Kingdom.
Marc D AuffretBeef and Sheep Research Centre, Future Farming Systems Group, Scotland's Rural College, Edinburgh, United Kingdom.
Robert D StewartDivision of Genetics and Genomics, The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, United Kingdom.
Richard J DewhurstBeef and Sheep Research Centre, Future Farming Systems Group, Scotland's Rural College, Edinburgh, United Kingdom.
Carol-Anne DuthieBeef and Sheep Research Centre, Future Farming Systems Group, Scotland's Rural College, Edinburgh, United Kingdom.
Timothy J SnellingThe Rowett Institute, University of Aberdeen, Aberdeen, United Kingdom.
Alan W WalkerThe Rowett Institute, University of Aberdeen, Aberdeen, United Kingdom.
Tom C FreemanDivision of Genetics and Genomics, The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, United Kingdom.
Mick WatsonDivision of Genetics and Genomics, The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, United Kingdom.
Rainer RoeheBeef and Sheep Research Centre, Future Farming Systems Group, Scotland's Rural College, Edinburgh, United Kingdom.
Scotland's Rural College · GBGenomics (United Kingdom) · GBUniversity of Aberdeen · GBRoslin Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F003722/1Biotechnology and Biological Sciences Research Council BB/I001107/1Biotechnology and Biological Sciences Research Council BBS/E/D/20211551Biotechnology and Biological Sciences Research Council BBS/E/D/20211552
6 · The paper itself

Abstract

The rumen microbiome is essential for the biological processes involved in the conversion of feed into nutrients that can be utilized by the host animal. In the present research, the influence of the rumen microbiome on feed conversion efficiency, growth rate, and appetite of beef cattle was investigated using metagenomic data. Our aim was to explore the associations between microbial genes and functional pathways, to shed light on the influence of bacterial enzyme expression on host phenotypes. Two groups of cattle were selected on the basis of their high and low feed conversion ratio. Microbial DNA was extracted from rumen samples, and the relative abundances of microbial genes were determined

Indexed as

appetitefeed conversion efficiencymetagenomicsmicrobial gene networksrumen microbiome

Identifiers

PMID31440274
PMCPMC6694183
OpenAlexW2962636975

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.