ArticleBMC genomics2015
Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.
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Who cites it
75 citing papers in PubMed, 146 citations in OpenAlex.
- Microbiome by transcriptome interactions triggered by a switch to an alternative diet in Nellore cattle.Scientific reports · 2026Article
- Effects of prenatal transportation stress on liver gene expression in male and female Brahman calves.Frontiers in genetics · 2026Article
- Allelic variation in CYP3A4 and PLB1 drives feed efficiency and immunometabolic resilience in beef cattle.BMC genomics · 2025Article
- Exploring genome, transcriptome, and microbiome interactions related to feed efficiency and methane emissions in Bos indicus through multi-omics network analysis.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- The Association Between Hematological Profiles and Whole-Blood Transcriptome Genes Identified Using Quantitative Analysis with Average Daily Gain and Feed Efficiency in Forage-Fed Beef Heifers.International journal of molecular sciences · 2025Article
- Effect of breed and dietary composition on the miRNA profile of beef steers divergent for feed efficiency.Scientific reports · 2024Article
- Unveiling Genetic Potential for Equine Meat Production: A Bioinformatics Approach.Animals : an open access journal from MDPI · 2024Article
- An across breed, diet and tissue analysis reveals the transcription factor NR1H3 as a key mediator of residual feed intake in beef cattle.BMC genomics · 2024Article
- Transcriptomic analysis of yakAnimal biotechnology · 2023Article
- Effect of breed and diet on the M. longissimus thoracis et lumborum transcriptome of steers divergent for residual feed intake.Scientific reports · 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 Profiling of the Liver in Nellore Cattle Phenotypically Divergent for RFI in Two Genetic Groups.Animals : an open access journal from MDPI · 2023Article
- Feed efficiency in dairy sheep: An insight from the milk transcriptome.Frontiers in veterinary science · 2023Article
- Analysis of liver miRNA in Hu sheep with different residual feed intake.Frontiers in genetics · 2023Article
- Association of residual feed intake with intestinal microbiome and metabolome in laying period of ducks.Frontiers in microbiology · 2023Article
- Transcript Characteristics on the Susceptibility Difference of Bovine Respiratory Disease.International journal of genomics · 2023Article
- Multi-transcriptomics reveals RLMF axis-mediated signaling molecules associated with bovine feed efficiency.Frontiers in veterinary science · 2023Article
- Prune homolog 2 with BCH domain (PRUNE2) gene expression is associated with feed efficiency-related traits in Nelore steers.Mammalian genome : official journal of the International Mammalian Genome Society · 2022Article
- EEF1A1 transcription cofactor gene polymorphism is associated with muscle gene expression and residual feed intake in Nelore cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2022Article
- Detection of potential functional variants based on systems-biology: the case of feed efficiency in beef cattle.BMC genomics · 2022Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEfficiency of feed utilization is important for animal production because it can reduce greenhouse gas emissions and improve industry profitability. However, the genetic basis of feed utilization in livestock remains poorly understood. Recent developments in molecular genetics, such as platforms for genome-wide genotyping and sequencing, provide an opportunity to identify genes and pathways that influence production traits. It is known that transcriptional networks influence feed efficiency-related traits such as growth and energy balance. This study sought to identify differentially expressed genes in animals genetically divergent for Residual Feed Intake (RFI), using RNA sequencing methodology (RNA-seq) to obtain information from genome-wide expression profiles in the liver tissues of Nelore cattle.
resultsDifferential gene expression analysis between high Residual Feed Intake (HRFI, inefficient) and low Residual Feed Intake (LRFI, efficient) groups was performed to provide insights into the molecular mechanisms that underlie feed efficiency-related traits in beef cattle. A total of 112 annotated genes were identified as being differentially expressed between animals with divergent RFI phenotypes. These genes are involved in ion transport and metal ion binding; act as membrane or transmembrane proteins; and belong to gene clusters that are likely related to the transport and catalysis of molecules through the cell membrane and essential mechanisms of nutrient absorption. Genes with functions in cellular signaling, growth and proliferation, cell death and survival were also differentially expressed. Among the over-represented pathways were drug or xenobiotic metabolism, complement and coagulation cascades, NRF2-mediated oxidative stress, melatonin degradation and glutathione metabolism.
conclusionsOur data provide new insights and perspectives on the genetic basis of feed efficiency in cattle. Some previously identified mechanisms were supported and new pathways controlling feed efficiency in Nelore cattle were discovered. We potentially identified genes and pathways that play key roles in hepatic metabolic adaptations to oxidative stress such as those involved in antioxidant mechanisms. These results improve our understanding of the metabolic mechanisms underlying feed efficiency in beef cattle and will help develop strategies for selection towards the desired phenotype.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.