ArticleBMC genomics2019
A comparative analysis of the transcriptome profiles of liver and muscle tissue in pigs divergent for feed efficiency.
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 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans.BMC genomics · 2022Pooled it
- Characterization of genomic diversity and population structure of worldwide Duroc subpopulations and other pig breeds.Genetics, selection, evolution : GSE · 2025Article
- A high-resolution bovine mitochondrial co-expression network.Biology open · 2025Article
- Identification of consensus homozygous regions and their associations with growth and feed efficiency traits in American mink.BMC genomic data · 2024Article
- The mRNA-lncRNA landscape of multiple tissues uncovers key regulators and molecular pathways that underlie heterosis for feed intake and efficiency in laying chickens.Genetics, selection, evolution : GSE · 2023Article
- Combined transcriptome and metabolome analysis reveal key regulatory genes and pathways of feed conversion efficiency of oriental river prawn Macrobrachium nipponense.BMC genomics · 2023Article
- Transcriptome analysis of divergent residual feed intake phenotypes in theFrontiers in genetics · 2023Article
- Article
- ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences.Journal of animal science · 2022Review
- Understanding the role of myoglobin content in Iberian pigs fattened in an extensive system through analysis of the transcriptome profile.Animal genetics · 2022Article
- Application of Genetic, Genomic and Biological Pathways in Improvement of Swine Feed Efficiency.Frontiers in genetics · 2022Review
- Factors Influencing Proteolysis and Protein Utilization in the Intestine of Pigs: A Review.Animals : an open access journal from MDPI · 2021Review
- Analysis of merged whole blood transcriptomic datasets to identify circulating molecular biomarkers of feed efficiency in growing pigs.BMC genomics · 2021Article
- Candidate gene screening for lipid deposition using combined transcriptomic and proteomic data from Nanyang black pigs.BMC genomics · 2021Article
- Using nontargeted LC-MS metabolomics to identify the Association of Biomarkers in pig feces with feed efficiency.Porcine health management · 2021Article
- Multi-Omics Approaches and Radiation on Lipid Metabolism in Toothed Whales.Life (Basel, Switzerland) · 2021Review
- Characterization and Duodenal Transcriptome Analysis of Chinese Beef Cattle With Divergent Feed Efficiency Using RNA-Seq.Frontiers in genetics · 2021Article
- Association of residual feed intake with growth performance, carcass traits, meat quality, and blood variables in native chickens.Journal of animal science · 2020Article
- Identification and Annotation of Potential Function of Regulatory Antisense Long Non-Coding RNAs Related to Feed Efficiency inInternational journal of molecular sciences · 2020Article
- Identification of key genes and pathways associated with feed efficiency of native chickens based on transcriptome data via bioinformatics analysis.BMC genomics · 2020Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe improvement of feed efficiency is a key economic goal within the pig production industry. The objective of this study was to examine transcriptomic differences in both the liver and muscle of pigs divergent for feed efficiency, thus improving our understanding of the molecular mechanisms influencing feed efficiency and enabling the identification of candidate biomarkers. Residual feed intake (RFI) was calculated for two populations of pigs from two different farms of origin/genotype. The 6 most efficient (LRFI) and 6 least efficient (HRFI) animals from each population were selected for further analysis of Longissimus Dorsi muscle (n = 22) and liver (n = 23). Transcriptomic data were generated from liver and muscle collected post-slaughter.
resultsThe transcriptomic data segregated based on the RFI value of the pig rather than genotype/farm of origin. A total of 6463 genes were identified as being differentially expressed (DE) in muscle, while 964 genes were identified as being DE in liver. Genes that were commonly DE between muscle and liver (n = 526) were used for the multi-tissue analysis. These 526 genes were associated with protein targeting to membrane, extracellular matrix organisation and immune function. In the muscle-only analysis, genes associated with RNA processing, protein synthesis and energy metabolism were down regulated in the LRFI animals while in the liver-only analysis, genes associated with cell signalling and lipid homeostasis were up regulated in the LRFI animals.
conclusionsDifferences in the transcriptome segregated on pig RFI value rather than the genotype/farm of origin. Multi-tissue analysis identified that genes associated with GO terms protein targeting to membrane, extracellular matrix organisation and a range of terms relating to immune function were over represented in the differentially expressed genes of both liver and muscle.
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