Literature DB >> 24373146

Analysis of biological networks and biological pathways associated with residual feed intake in beef cattle.

Brian Karisa1, Stephen Moore, Graham Plastow.   

Abstract

In this study, biological networks were reconstructed from genes and metabolites significantly associated with residual feed intake (RFI) in beef cattle. The networks were then used to identify biological pathways associated with RFI. RFI is a measure of feed efficiency, which is independent of body size and growth; therefore selection for RFI is expected to result in cattle that consume less feed without adverse effects on growth rate and mature size. Although several studies have identified genes associated with RFI, the mechanisms of the biological processes are not well understood. In this study, we utilised the results obtained from two association studies, one using 24 genes and one using plasma metabolites to reconstruct biological networks associated with RFI using IPA software (Igenuity Systems). The results pointed to biological processes such as lipid and steroid biosynthesis, protein and carbohydrate metabolism and regulation of gene expression through DNA transcription, protein stability and degradation. The major canonical pathways included signaling of growth hormone, Oncostatin M, insulin-like growth factor and AMP activated protein kinase, and cholesterol biosynthesis. This study provides information on potential biological mechanisms, and genes and metabolites involved in feed efficiency in beef cattle.
© 2013 Japanese Society of Animal Science.

Entities:  

Keywords:  beef cattle; biological networks; genes; metabolites; residual feed intake

Mesh:

Substances:

Year:  2013        PMID: 24373146     DOI: 10.1111/asj.12159

Source DB:  PubMed          Journal:  Anim Sci J        ISSN: 1344-3941            Impact factor:   1.749


  20 in total

1.  Association analysis between feed efficiency and expression of key genes of the avTOR signaling pathway in meat-type ducks.

Authors:  Lei Yang; Tingting He; Yuan Xu; He Zang; Jiafa Wang; Zhiqiang Lin; Sihua Jin; Zhaoyu Geng
Journal:  Mol Biol Rep       Date:  2019-05-28       Impact factor: 2.316

2.  Association of residual feed intake with growth performance, carcass traits, meat quality, and blood variables in native chickens.

Authors:  Lei Yang; Xiaolong Wang; Tingting He; Fengliang Xiong; Xianzhen Chen; Xingyong Chen; Sihua Jin; Zhaoyu Geng
Journal:  J Anim Sci       Date:  2020-07-01       Impact factor: 3.159

3.  Metatranscriptomic Profiling Reveals Linkages between the Active Rumen Microbiome and Feed Efficiency in Beef Cattle.

Authors:  Fuyong Li; Le Luo Guan
Journal:  Appl Environ Microbiol       Date:  2017-04-17       Impact factor: 4.792

4.  Development and validation of a small SNP panel for feed efficiency in beef cattle.

Authors:  M K Abo-Ismail; N Lansink; E Akanno; B K Karisa; J J Crowley; S S Moore; E Bork; P Stothard; J A Basarab; G S Plastow
Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

5.  Consistency of feed efficiency ranking and mechanisms associated with inter-animal variation among growing calves.

Authors:  A Asher; A Shabtay; M Cohen-Zinder; Y Aharoni; J Miron; R Agmon; I Halachmi; A Orlov; A Haim; L O Tedeschi; G E Carstens; K A Johnson; A Brosh
Journal:  J Anim Sci       Date:  2018-04-03       Impact factor: 3.159

6.  Liver transcriptome profiling of beef steers with divergent growth rate, feed intake, or metabolic body weight phenotypes1.

Authors:  Robert Mukiibi; Michael Vinsky; Kate Keogh; Carolyn Fitzsimmons; Paul Stothard; Sinéad M Waters; Changxi Li
Journal:  J Anim Sci       Date:  2019-11-04       Impact factor: 3.159

7.  Copy number variations and genome-wide associations reveal putative genes and metabolic pathways involved with the feed conversion ratio in beef cattle.

Authors:  Miguel Henrique de Almeida Santana; Gerson Antônio Oliveira Junior; Aline Silva Mello Cesar; Mateus Castelani Freua; Rodrigo da Costa Gomes; Saulo da Luz E Silva; Paulo Roberto Leme; Heidge Fukumasu; Minos Esperândio Carvalho; Ricardo Vieira Ventura; Luiz Lehmann Coutinho; Haja N Kadarmideen; José Bento Sterman Ferraz
Journal:  J Appl Genet       Date:  2016-03-21       Impact factor: 3.240

8.  Identification of genomic regions associated with feed efficiency in Nelore cattle.

Authors:  Priscila S N de Oliveira; Aline S M Cesar; Michele L do Nascimento; Amália S Chaves; Polyana C Tizioto; Rymer R Tullio; Dante P D Lanna; Antonio N Rosa; Tad S Sonstegard; Gerson B Mourao; James M Reecy; Dorian J Garrick; Maurício A Mudadu; Luiz L Coutinho; Luciana C A Regitano
Journal:  BMC Genet       Date:  2014-09-26       Impact factor: 2.797

9.  Genomic Regions Associated with Feed Efficiency Indicator Traits in an Experimental Nellore Cattle Population.

Authors:  Bianca Ferreira Olivieri; Maria Eugênia Zerlotti Mercadante; Joslaine Noely Dos Santos Gonçalves Cyrillo; Renata Helena Branco; Sarah Figueiredo Martins Bonilha; Lucia Galvão de Albuquerque; Rafael Medeiros de Oliveira Silva; Fernando Baldi
Journal:  PLoS One       Date:  2016-10-19       Impact factor: 3.240

10.  In-Depth Duodenal Transcriptome Survey in Chickens with Divergent Feed Efficiency Using RNA-Seq.

Authors:  Guoqiang Yi; Jingwei Yuan; Huijuan Bi; Wei Yan; Ning Yang; Lujiang Qu
Journal:  PLoS One       Date:  2015-09-29       Impact factor: 3.240

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