ArticleScientific reports2015
Transcriptome analysis of mRNA and miRNA in skeletal muscle indicates an important network for differential Residual Feed Intake in pigs.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.
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Who cites it
84 citing papers in PubMed, 1 synthesis or guideline pooled it, 121 citations in OpenAlex.
- Meta-analysis across Nellore cattle populations identifies common metabolic mechanisms that regulate feed efficiency-related traits.BMC genomics · 2022Pooled it
- Transcriptome and Functional Analysis Uncover the Role of ADCY5 in Bovine Adipogenesis.Animal genetics · 2026Article
- Breed-specific divergence in boar sperm regulatory profiles involves piRNA and mitochondrial small RNAs.Cellular and molecular life sciences : CMLS · 2026Article
- Full-length transcriptome atlas of porcine skeletal muscle reveals isoform-resolved genetic regulatory mechanisms for muscle growth.BMC genomics · 2026Article
- Exercise training-induced extracellular miR-136-3p modulates glucose uptake and myogenesis through targeting of NRDC in human skeletal muscle.Journal of sport and health science · 2025Article
- Effects of Cyclic Adenosine Monophosphate Nanoliposomes on Growth Performance, Gut Development and Microbiota of Broilers.Animals : an open access journal from MDPI · 2025Article
- Comparative Transcriptomic Analysis Between High- and Low-Growth-Rate Meat-Type Rabbits Reveals Key Pathways Associated with Muscle Development.Animals : an open access journal from MDPI · 2025Article
- Transcriptome analysis of liver and ileum reveals potential regulation of long non-coding RNA in pigs with divergent feed efficiency.Animal bioscience · 2025Article
- Association between mitochondrial DNA copy number and production traits in pigs.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Ferroptosis-related genes participate in the microglia-induced neuroinflammation of spinal cord injury via NF-κB signaling: evidence from integrated single-cell and spatial transcriptomic analysis.Journal of translational medicine · 2025Article
- Screening and validation of key microRNAs regulating muscle development in Hanper sheep.PloS one · 2025Article
- Article
- A genome-wide association study on growth traits of Korean commercial pig breeds using Bayesian methods.Animal bioscience · 2024Article
- Comparative Genomics Identifies the Evolutionarily Conserved GeneInternational journal of molecular sciences · 2023Article
- Article
- Rumen and Fecal Microbiota Characteristics of Qinchuan Cattle with Divergent Residual Feed Intake.Microorganisms · 2023Article
- Analysis of liver miRNA in Hu sheep with different residual feed intake.Frontiers in genetics · 2023Article
- Feed efficiency in dairy sheep: An insight from the milk transcriptome.Frontiers in veterinary science · 2023Article
- Multi-transcriptomics reveals RLMF axis-mediated signaling molecules associated with bovine feed efficiency.Frontiers in veterinary science · 2023Article
- Article
24 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Feed efficiency (FE) can be measured by feed conversion ratio (FCR) or residual feed intake (RFI). In this study, we measured the FE related phenotypes of 236 castrated purebred Yorkshire boars, and selected 10 extreme individuals with high and low RFI for transcriptome analysis. We used RNA-seq analyses to determine the differential expression of genes and miRNAs in skeletal muscle. There were 99 differentially expressed genes identified (q ≤ 0.05). The down-regulated genes were mainly involved in mitochondrial energy metabolism, including FABP3, RCAN, PPARGC1 (PGC-1A), HK2 and PRKAG2. The up-regulated genes were mainly involved in skeletal muscle differentiation and proliferation, including IGF2, PDE7A, CEBPD, PIK3R1 and MYH6. Moreover, 15 differentially expressed miRNAs (|log2FC| ≥ 1, total reads count ≥ 20, p ≤ 0.05) were identified. Among them, miR-136, miR-30e-5p, miR-1, miR-208b, miR-199a, miR-101 and miR-29c were up-regulated, while miR-215, miR-365-5p, miR-486, miR-1271, miR-145, miR-99b, miR-191 and miR-10b were down-regulated in low RFI pigs. We conclude that decreasing mitochondrial energy metabolism, possibly through AMPK - PGC-1A pathways, and increasing muscle growth, through IGF-1/2 and TGF-β signaling pathways, are potential strategies for the improvement of FE in pigs (and possibly other livestock). This study provides new insights into the molecular mechanisms that determine RFI and FE in pigs.
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