Literature DB >> 29247922

Analysis of meat quality traits and gene expression profiling of pigs divergent in residual feed intake.

Justyna Horodyska1, Michael Oster2, Henry Reyer3, Anne Maria Mullen4, Peadar G Lawlor5, Klaus Wimmers6, Ruth M Hamill7.   

Abstract

Residual feed intake (RFI), the difference between actual feed intake and predicted feed requirements, is suggested to impact various aspects of meat quality. The objective of this study was to investigate the molecular mechanisms underpinning the relationship between RFI and meat quality. Technological, sensory and nutritional analysis as well as transcriptome profiling were carried out in Longissimus thoracis et lumborum muscle of pigs divergent in RFI (n=20). Significant differences in sensory profile and texture suggest a minor impairment of meat quality in more efficient pigs. Low RFI animals had leaner carcasses, greater muscle content and altered fatty acid profiles compared to high RFI animals. Accordingly, differentially expressed genes were enriched in muscle growth and lipid & connective tissue metabolism. Differences in protein synthesis and degradation suggest a greater turnover of low RFI muscle, while divergence in connective tissue adhesion may impact tenderness. Fatty acid oxidation tending towards decrease could possibly contribute to reduced mitochondrial activity in low RFI muscle.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  FE; Feed efficiency; Pork quality; RFI; RNA; Transcriptomics

Mesh:

Substances:

Year:  2017        PMID: 29247922     DOI: 10.1016/j.meatsci.2017.11.021

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  6 in total

1.  Transcriptome Analysis of Adipose Tissue Indicates That the cAMP Signaling Pathway Affects the Feed Efficiency of Pigs.

Authors:  Yueyuan Xu; Xiaolong Qi; Mingyang Hu; Ruiyi Lin; Ye Hou; Zhangxu Wang; Huanhuan Zhou; Yunxia Zhao; Yu Luan; Shuhong Zhao; Xinyun Li
Journal:  Genes (Basel)       Date:  2018-07-04       Impact factor: 4.096

2.  RNA-Seq of Liver From Pigs Divergent in Feed Efficiency Highlights Shifts in Macronutrient Metabolism, Hepatic Growth and Immune Response.

Authors:  Justyna Horodyska; Ruth M Hamill; Henry Reyer; Nares Trakooljul; Peadar G Lawlor; Ursula M McCormack; Klaus Wimmers
Journal:  Front Genet       Date:  2019-02-19       Impact factor: 4.599

3.  Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs.

Authors:  Farouk Messad; Isabelle Louveau; Basile Koffi; Hélène Gilbert; Florence Gondret
Journal:  BMC Genomics       Date:  2019-08-17       Impact factor: 3.969

4.  Prediction of nutrient digestibility in grower-finisher pigs based on faecal microbiota composition.

Authors:  Lisanne M G Verschuren; Dirkjan Schokker; Rob Bergsma; Alfons J M Jansman; Francesc Molist; Mario P L Calus
Journal:  J Anim Breed Genet       Date:  2019-09-17       Impact factor: 2.380

5.  RNA-seq of muscle from pigs divergent in feed efficiency and product quality identifies differences in immune response, growth, and macronutrient and connective tissue metabolism.

Authors:  Justyna Horodyska; Klaus Wimmers; Henry Reyer; Nares Trakooljul; Anne Maria Mullen; Peadar G Lawlor; Ruth M Hamill
Journal:  BMC Genomics       Date:  2018-11-01       Impact factor: 3.969

6.  Potential Biomarkers for Feed Efficiency-Related Traits in Nelore Cattle Identified by Co-expression Network and Integrative Genomics Analyses.

Authors:  Andressa O de Lima; James E Koltes; Wellison J S Diniz; Priscila S N de Oliveira; Aline S M Cesar; Polyana C Tizioto; Juliana Afonso; Marcela M de Souza; Juliana Petrini; Marina I P Rocha; Tainã F Cardoso; Adhemar Zerlotini Neto; Luiz L Coutinho; Gerson B Mourão; Luciana C A Regitano
Journal:  Front Genet       Date:  2020-03-04       Impact factor: 4.599

  6 in total

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