SynthesisBMC genomics2022
Meta-analysis across Nellore cattle populations identifies common metabolic mechanisms that regulate feed efficiency-related traits.
Synthesis in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Meta-analysis of six dairy cattle breeds reveals biologically relevant candidate genes for mastitis resistance.Genetics, selection, evolution : GSE · 2024Pooled it
- Multi-trait GWAS of reaction norm parameters reveals environment-responsive loci influencing reproductive performance in heifers.Journal of animal science and biotechnology · 2026Article
- Sequence-based genome-wide association study reveals genetic and metabolic mechanisms underlying feed efficiency-related traits in beef cattle.Journal of animal science and biotechnology · 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
- Unveiling potential genetic markers: associations ofArchives animal breeding · 2026Article
- Whole-genome sequencing GWAS reveals bovine genomic effects on enteric methane emissions in beef cattle.Scientific reports · 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
- Molecular Mechanisms and Regulatory Factors Governing Feed Utilization Efficiency in Laying Hens: Insights for Sustainable Poultry Production and Breeding Optimization.International journal of molecular sciences · 2025Review
- Variable selection strategies for genomic prediction of growth and carcass related traits in experimental Nellore cattle herds under different selection criteria.Scientific reports · 2025Article
- Effect of genomic regions harboring putative lethal haplotypes on reproductive performance in closed experimental selection lines of Nellore cattle.Scientific reports · 2025Article
- Identification of Candidate Genes Associated with Meat Production of Aberdeen Angus Cattle.Animals : an open access journal from MDPI · 2025Article
- Genotype-by-environment interaction for yearling weight of Nellore cattle in pasture and feedlot conditions using a "double" genomic reaction norm model.Journal of animal science · 2025Article
- Unraveling genomic regions with transmission ratio distortion harboring putative lethal alleles and their biological implications in Nellore cattle from experimental selection lines.Journal of animal science · 2025Article
- Residual feed intake in late-laying hens: immune function, metabolic efficiency, and feed utilization dynamics.Frontiers in veterinary science · 2025Article
- Genome-wide association study for feed efficiency indicator traits in Nellore cattle considering genotype-by-environment interactions.Frontiers in genetics · 2025Article
- Genome-wide association studies and functional annotation of pre-weaning calf mortality and reproductive traits in Nellore cattle from experimental selection lines.BMC genomics · 2024Article
- Genome-Wide Association Study for Weight Loss at the End of Dry-Curing of Hams Produced from Purebred Heavy Pigs.Animals : an open access journal from MDPI · 2024Article
- Genome-wide association study considering genotype-by-environment interaction for productive and reproductive traits using whole-genome sequencing in Nellore cattle.BMC genomics · 2024Article
- Combining genetic markers, on-farm information and infrared data for the in-line prediction of blood biomarkers of metabolic disorders in Holstein cattle.Journal of animal science and biotechnology · 2024Article
- Benchmarking machine learning and parametric methods for genomic prediction of feed efficiency-related traits in Nellore cattle.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFeed efficiency (FE) related traits play a key role in the economy and sustainability of beef cattle production systems. The accurate knowledge of the physiologic background for FE-related traits can help the development of more efficient selection strategies for them. Hence, multi-trait weighted GWAS (MTwGWAS) and meta-analyze were used to find genomic regions associated with average daily gain (ADG), dry matter intake (DMI), feed conversion ratio (FCR), feed efficiency (FE), and residual feed intake (RFI). The FE-related traits and genomic information belong to two breeding programs that perform the FE test at different ages: post-weaning (1,024 animals IZ population) and post-yearling (918 animals for the QLT population).
resultsThe meta-analyze MTwGWAS identified 14 genomic regions (-log10(p -value) > 5) regions mapped on BTA 1, 2, 3, 4, 7, 8, 11, 14, 15, 18, 21, and 29. These regions explained a large proportion of the total genetic variance for FE-related traits across-population ranging from 20% (FCR) to 36% (DMI) in the IZ population and from 22% (RFI) to 28% (ADG) in the QLT population. Relevant candidate genes within these regions (LIPE, LPL, IGF1R, IGF1, IGFBP5, IGF2, INS, INSR, LEPR, LEPROT, POMC, NPY, AGRP, TGFB1, GHSR, JAK1, LYN, MOS, PLAG1, CHCD7, LCAT, and PLA2G15) highlighted that the physiological mechanisms related to neuropeptides and the metabolic signals controlling the body's energy balance are responsible for leading to greater feed efficiency. Integrated meta-analysis results and functional pathway enrichment analysis highlighted the major effect of biological functions linked to energy, lipid metabolism, and hormone signaling that mediates the effects of peptide signals in the hypothalamus and whole-body energy homeostasis affecting the genetic control of FE-related traits in Nellore cattle.
conclusionsGenes and pathways associated with common signals for feed efficiency-related traits provide better knowledge about regions with biological relevance in physiological mechanisms associated with differences in energy metabolism and hypothalamus signaling. These pleiotropic regions would support the selection for feed efficiency-related traits, incorporating and pondering causal variations assigning prior weights in genomic selection approaches.
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