Evidence map›Paper›PMID 30616514›Full record

ArticleBMC genomics2019

Identification of a metabolomic signature associated with feed efficiency in beef cattle.

Francisco José Novais, Pedro Ratto Lisboa Pires, Pâmela Almeida Alexandre, Robert A Dromms, Amadeu Hoshi Iglesias, José Bento Sterman Ferraz, Mark Philip-Walter Styczynski, Heidge Fukumasu

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 65 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

8 authors at 2 institutions in 2 countries.

Francisco José NovaisDepartment of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte n°225, Pirassununga, 13635-900, Sao Paulo, Brazil.
Pedro Ratto Lisboa PiresDepartment of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte n°225, Pirassununga, 13635-900, Sao Paulo, Brazil.
Pâmela Almeida AlexandreDepartment of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte n°225, Pirassununga, 13635-900, Sao Paulo, Brazil.
Robert A DrommsSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Amadeu Hoshi IglesiasApex Science, Campinas, Sao Paulo, Brazil.
José Bento Sterman FerrazDepartment of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte n°225, Pirassununga, 13635-900, Sao Paulo, Brazil.
Mark Philip-Walter StyczynskiSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Heidge FukumasuDepartment of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte n°225, Pirassununga, 13635-900, Sao Paulo, Brazil. fukumasu@usp.br.ORCID http://orcid.org/0000-0002-3265-5090
Universidade de São Paulo · BRGeorgia Institute of Technology · US

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2010/05650-5Fundação de Amparo à Pesquisa do Estado de São Paulo 2014/02493-7Fundação de Amparo à Pesquisa do Estado de São Paulo 2014/07566-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2015/01059-4Fundação de Amparo à Pesquisa do Estado de São Paulo 2015/22276-3
6 · The paper itself

Abstract

backgroundRuminants play a great role in sustainable livestock since they transform pastures, silage, and crop residues into high-quality human food (i.e. milk and beef). Animals with better ability to convert food into animal protein, measured as a trait called feed efficiency (FE), also produce less manure and greenhouse gas per kilogram of produced meat. Thus, the identification of high feed efficiency cattle is important for sustainable nutritional management. Our aim was to evaluate the potential of serum metabolites to identify FE of beef cattle before they enter the feedlot.

resultsA total of 3598 and 4210 m/z features was detected in negative and positive ionization modes via liquid chromatography-mass spectrometry. A single feature was different between high and low FE groups. Network analysis (WGCNA) yielded the detection of 19 and 20 network modules of highly correlated features in negative and positive mode respectively, and 1 module of each acquisition mode was associated with RFI (r = 0.55, P < 0.05). Pathway enrichment analysis (Mummichog) yielded the Retinol metabolism pathway associated with feed efficiency in beef cattle in our conditions.

conclusionAltogether, these findings demonstrate the existence of a serum-based metabolomic signature associated with feed efficiency in beef cattle before they enter the feedlot. We are now working to validate the use of metabolites for identification of feed efficient animals for sustainable nutritional management.

Indexed as

Animal FeedAnimal Nutritional Physiological PhenomenaAnimalsCattleEatingFood QualityMetabolomeMetabolomicsPhenotypeRed MeatNelloreResidual feed intakeRetinolWGCNA

Identifiers

PMID30616514
PMCPMC6323741
OpenAlexW2915040329

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.