ArticlePloS one2015
Systems biology analysis merging phenotype, metabolomic and genomic data identifies Non-SMC Condensin I Complex, Subunit G (NCAPG) and cellular maintenance processes as major contributors to genetic variability in bovine feed efficiency.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Identification of Key Genes Associated with Feed Utilization Efficiency inAnimals : an open access journal from MDPI · 2026Article
- Runs of homozygosity reveal population dynamics and selection across global cattle.Journal of animal science and biotechnology · 2026Article
- Impact of Mutations in theInternational journal of molecular sciences · 2026Article
- Modeling genotype-by-environment interactions across climatic conditions reveals environment-specific genomic regions and candidate genes underlying feed efficiency traits in tropical beef cattle.Scientific reports · 2026Article
- Plasma biomarkers for residual feed intake prediction in beef bulls.Translational animal science · 2026Article
- Identification of regulatory loci and candidate genes related to body weight traits in broilers based on different models.BMC genomics · 2025Article
- Review
- Multi-omics data elucidate parasite-host-microbiota interactions and resistance to Haemonchus contortus in sheep.Parasites & vectors · 2024Article
- Article
- Comparative expression analysis of water buffalo (Frontiers in veterinary science · 2023Article
- Upstream Regulator Analysis of Wooden Breast Myopathy Proteomics in Commercial Broilers and Comparison to Feed Efficiency Proteomics in Pedigree Male Broilers.Foods (Basel, Switzerland) · 2021Article
- Identification of Predictor Genes for Feed Efficiency in Beef Cattle by Applying Machine Learning Methods to Multi-Tissue Transcriptome Data.Frontiers in genetics · 2021Article
- Gene networks for three feed efficiency criteria reveal shared and specific biological processes.Genetics, selection, evolution : GSE · 2020Article
- Exploring the Regulatory Potential of Long Non-Coding RNA in Feed Efficiency of Indicine Cattle.Genes · 2020Article
- Retinol binding protein 4 abundance in plasma and tissues is related to body fat deposition in cattle.Scientific reports · 2019Article
- Liver proteomics unravel the metabolic pathways related to Feed Efficiency in beef cattle.Scientific reports · 2019Article
- Genetic architecture and candidate genes detected for chicken internal organ weight with a 600 K single nucleotide polymorphism array.Asian-Australasian journal of animal sciences · 2019Article
- Identification of a metabolomic signature associated with feed efficiency in beef cattle.BMC genomics · 2019Article
- Biological Network Approach for the Identification of Regulatory Long Non-Coding RNAs Associated With Metabolic Efficiency in Cattle.Frontiers in genetics · 2019Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Feed efficiency is a paramount factor for livestock economy. Previous studies had indicated a substantial heritability of several feed efficiency traits. In our study, we investigated the genetic background of residual feed intake, a commonly used parameter of feed efficiency, in a cattle resource population generated from crossing dairy and beef cattle. Starting from a whole genome association analysis, we subsequently performed combined phenotype-metabolome-genome analysis taking a systems biology approach by inferring gene networks based on partial correlation and information theory approaches. Our data about biological processes enriched with genes from the feed efficiency network suggest that genetic variation in feed efficiency is driven by genetic modulation of basic processes relevant to general cellular functions. When looking at the predicted upstream regulators from the feed efficiency network, the Tumor Protein P53 (TP53) and Transforming Growth Factor beta 1 (TGFB1) genes stood out regarding significance of overlap and number of target molecules in the data set. These results further support the hypothesis that TP53 is a major upstream regulator for genetic variation of feed efficiency. Furthermore, our data revealed a significant effect of both, the Non-SMC Condensin I Complex, Subunit G (NCAPG) I442M (rs109570900) and the Growth /differentiation factor 8 (GDF8) Q204X (rs110344317) loci, on residual feed intake and feed conversion. For both loci, the growth promoting allele at the onset of puberty was associated with a negative, but favorable effect on residual feed intake. The elevated energy demand for increased growth triggered by the NCAPG 442M allele is obviously not fully compensated for by an increased efficiency in converting feed into body tissue. As a consequence, the individuals carrying the NCAPG 442M allele had an additional demand for energy uptake that is reflected by the association of the allele with increased daily energy intake as observed in our study.
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