ArticleBMC genomics2015
Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 87 papers, 2 of them syntheses that pooled it.
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Who cites it
87 citing papers in PubMed, 2 syntheses or guidelines pooled it, 165 citations in OpenAlex.
- Meta-analysis across Nellore cattle populations identifies common metabolic mechanisms that regulate feed efficiency-related traits.BMC genomics · 2022Pooled it
- GWAS and eQTL analysis identifies a SNP associated with both residual feed intake and GFRA2 expression in beef cattle.Scientific reports · 2018Pooled it
- Integorated multi-omics reveals the NOS2-metabolite-microbiota regulatory axis underlying feed efficiency in laying hens.Poultry science · 2026Article
- Comparative liver proteome analysis of feedlot steer calves reveals growth trait-specific pathways influenced by calving season.Journal of animal science and biotechnology · 2026Article
- Genome-wide cis-expression Quantitative Trait Loci (eQTL) and transcriptomic signals reveal distinct molecular regulation across correlated feed efficiency traits.Frontiers in genetics · 2026Article
- Effective energy harvesting of Yak by regulating the glucose and lipid metabolism in liver to adapt to the plateau environment.Scientific reports · 2025Article
- Identification of key factors causing ketosis in dairy cows with low feed intake.Animal biotechnology · 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
- Differential lipid metabolism in beef cattle: A comparative study of high and low residual feed intake bulls.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2025Article
- Evaluation of the residual feed intake on carcass and meat quality traits of Nellore bulls: a biochemical and molecular approach.Journal of animal science · 2025Article
- Liver transcriptomics-metabolomics integration reveals biological pathways associated with fetal programming in beef cattle.Scientific reports · 2024Article
- Effect of breed and dietary composition on the miRNA profile of beef steers divergent for feed efficiency.Scientific reports · 2024Article
- Genes involved in the cholecystokinin receptor signaling map were differentially expressed in the jejunum of steers with variation in residual feed intake.Veterinary and animal science · 2024Article
- Characterization of rumen microbiome and immune genes expression of crossbred beef steers with divergent residual feed intake phenotypes.BMC genomics · 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
- Fat-tail allele-specific expression genes may affect fat deposition in tail of sheep.PloS one · 2024Article
- Article
- 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
- 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
27 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
- Erratum issued
Authors and funding
14 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe selection of beef cattle for feed efficiency (FE) traits is very important not only for productive and economic efficiency but also for reduced environmental impact of livestock. Considering that FE is multifactorial and expensive to measure, the aim of this study was to identify biological functions and regulatory genes associated with this phenotype.
resultsEight genes were differentially expressed between high and low feed efficient animals (HFE and LFE, respectively). Co-expression analyses identified 34 gene modules of which 4 were strongly associated with FE traits. They were mainly enriched for inflammatory response or inflammation-related terms. We also identified 463 differentially co-expressed genes which were functionally enriched for immune response and lipid metabolism. A total of 8 key regulators of gene expression profiles affecting FE were found. The LFE animals had higher feed intake and increased subcutaneous and visceral fat deposition. In addition, LFE animals showed higher levels of serum cholesterol and liver injury biomarker GGT. Histopathology of the liver showed higher percentage of periportal inflammation with mononuclear infiltrate.
conclusionLiver transcriptomic network analysis coupled with other results demonstrated that LFE animals present altered lipid metabolism and increased hepatic periportal lesions associated with an inflammatory response composed mainly by mononuclear cells. We are now focusing to identify the causes of increased liver lesions in LFE animals.
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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.