Literature DB >> 27033587

Transcriptome differences in the rumen of beef steers with variation in feed intake and gain.

Rebecca J Kern1, Amanda K Lindholm-Perry2, Harvey C Freetly3, Warren M Snelling4, John W Kern5, John W Keele6, Jeremy R Miles7, Andrew P Foote8, William T Oliver9, Larry A Kuehn10, Paul A Ludden11.   

Abstract

BACKGROUND: Feed intake and gain are economically important traits in beef production. The rumen wall interacts with feed, microbial populations, and fermentation products important to cattle nutrition. As such, it is likely to be a critical component in the beef steer's ability to utilize feedstuffs efficiently. To identify genes associated with steer feed intake and body weight gain traits, and to gain an understanding of molecules and pathways involved in feed intake and utilization, RNA sequencing (RNA-Seq) was performed on rumen papillae from 16 steers with variation in gain and feed intake. Four steers were chosen from each of the four Cartesian quadrants for gain×feed intake and used to generate individual RNA-Seq libraries.
RESULTS: Normalized read counts from all of the mapped reads from each of the four groups of animals were individually compared to the other three groups. In addition, differentially expressed genes (DEGs) between animals with high and low gain, as well as high and low intake were also evaluated. A total of 931 genes were differentially expressed in the analyses of the individual groups. Eighty-nine genes were differentially expressed between high and low gain animals; and sixty-nine were differentially expressed in high versus low intake animals. Several of the genes identified in this study have been previously associated with feed efficiency. Among those are KLK10, IRX3, COL1A1, CRELD2, HDAC10, IFITM3, and VIM.
CONCLUSIONS: Many of the genes identified in this study are involved with immune function, inflammation, apoptosis, cell growth/proliferation, nutrient transport, and metabolic pathways and may be important predictors of feed intake and gain in beef cattle. Published by Elsevier B.V.

Entities:  

Keywords:  Beef cattle; Feed intake; Gain; RNA-Seq; Rumen

Mesh:

Year:  2016        PMID: 27033587     DOI: 10.1016/j.gene.2016.03.034

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  15 in total

1.  Prune homolog 2 with BCH domain (PRUNE2) gene expression is associated with feed efficiency-related traits in Nelore steers.

Authors:  Andressa Oliveira Lima; Jessica Moraes Malheiros; Juliana Afonso; Juliana Petrini; Luiz Lehmann Coutinho; Wellison Jarles da Silva Diniz; Flávia Aline Bressani; Polyana Cristine Tizioto; Priscila Silva Neubern de Oliveira; Janssen Ayna Silva Ribeiro; Karina Santos de Oliveira; Marina Ibelli Pereira Rocha; Bruno Gabriel Nascimento Andrade; Heidge Fukumasu; Hamid Beiki; James Mark Reecy; Adhemar Zerlotini; Gerson Barreto Mourao; Luciana Correia de Almeida Regitano
Journal:  Mamm Genome       Date:  2022-07-16       Impact factor: 3.224

2.  Genes Involved in Feed Efficiency Identified in a Meta-Analysis of Rumen Tissue from Two Populations of Beef Steers.

Authors:  Amanda K Lindholm-Perry; Allison M Meyer; Rebecca J Kern-Lunbery; Hannah C Cunningham-Hollinger; Taran H Funk; Brittney N Keel
Journal:  Animals (Basel)       Date:  2022-06-10       Impact factor: 3.231

3.  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

4.  Differential transcript abundance in adipose tissue of mature beef cows during feed restriction and realimentation.

Authors:  Hannah Crocker Cunningham; Kristi M Cammack; Kristin E Hales; Harvey C Freetly; Amanda K Lindholm-Perry
Journal:  PLoS One       Date:  2018-03-13       Impact factor: 3.240

5.  Effect of dietary restriction and subsequent re-alimentation on the transcriptional profile of bovine ruminal epithelium.

Authors:  Kate Keogh; Sinead M Waters; Paul Cormican; Alan K Kelly; Emma O'Shea; David A Kenny
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

6.  The effect of breed and diet type on the global transcriptome of hepatic tissue in beef cattle divergent for feed efficiency.

Authors:  Marc G Higgins; David A Kenny; Claire Fitzsimons; Gordon Blackshields; Séan Coyle; Clare McKenna; Mark McGee; Derek W Morris; Sinéad M Waters
Journal:  BMC Genomics       Date:  2019-06-26       Impact factor: 3.969

7.  Nutritional Interventions Improved Rumen Functions and Promoted Compensatory Growth of Growth-Retarded Yaks as Revealed by Integrated Transcripts and Microbiome Analyses.

Authors:  Rui Hu; Huawei Zou; Zhisheng Wang; Binghai Cao; Quanhui Peng; Xiaoping Jing; Yixin Wang; Yaqun Shao; Zhaoxi Pei; Xiangfei Zhang; Bai Xue; Lizhi Wang; Suonan Zhao; Yuqing Zhou; Xiangying Kong
Journal:  Front Microbiol       Date:  2019-02-21       Impact factor: 5.640

8.  Profile of the Spleen Transcriptome in Beef Steers with Variation in Gain and Feed Intake.

Authors:  Amanda K Lindholm-Perry; Rebecca J Kern; Brittney N Keel; Warren M Snelling; Larry A Kuehn; Harvey C Freetly
Journal:  Front Genet       Date:  2016-07-25       Impact factor: 4.599

9.  Agouti Signaling Protein and Its Receptors as Potential Molecular Markers for Intramuscular and Body Fat Deposition in Cattle.

Authors:  Yinuo Liu; Elke Albrecht; Lisa Schering; Christa Kuehn; Runjun Yang; Zhihui Zhao; Steffen Maak
Journal:  Front Physiol       Date:  2018-03-06       Impact factor: 4.566

10.  Residual feed intake in beef cattle and its association with carcass traits, ruminal solid-fraction bacteria, and epithelium gene expression.

Authors:  Ahmed A Elolimy; Mohamed K Abdelmegeid; Joshua C McCann; Daniel W Shike; Juan J Loor
Journal:  J Anim Sci Biotechnol       Date:  2018-09-24
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