ArticleBMC genomics2016
Genomic structure and marker-derived gene networks for growth and meat quality traits of Brazilian Nelore beef cattle.
Article in BMC genomics, 2016. 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 26 papers.
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26 citing papers in PubMed, 47 citations in OpenAlex.
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- Selection Signatures in the Genome of Dzhalgin Merino Sheep Breed.Animals : an open access journal from MDPI · 2025Article
- Genome-wide association studies and genetic architecture of carcass traits in Angus beef cattle using imputed whole-genome sequences data.Genetics, selection, evolution : GSE · 2025Article
- Short communication: genomic kinship, opposing homozygotes and genetic diversity in a selected population of Australian Angus cattle.Journal of animal science · 2025Article
- Weighted single step GWAS reveals genomic regions associated with economic traits in Murrah buffaloes.Animal biotechnology · 2024Article
- Identification of Candidate Genes and Functional Pathways Associated with Body Size Traits in Chinese Holstein Cattle Based on GWAS Analysis.Animals : an open access journal from MDPI · 2023Article
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- DNA methylation may affect beef tenderness through signal transduction in Bos indicus.Epigenetics & chromatin · 2022Article
- A Post-GWAS Functional Analysis Confirming Effects of Three BTA13 GenesFrontiers in genetics · 2022Article
- Integrative Analysis Between Genome-Wide Association Study and Expression Quantitative Trait Loci Reveals Bovine Muscle Gene Expression Regulatory Polymorphisms Associated With Intramuscular Fat and Backfat Thickness.Frontiers in genetics · 2022Article
- Stool and Ruminal Microbiome Components Associated With Methane Emission and Feed Efficiency in Nelore Beef Cattle.Frontiers in genetics · 2022Article
- Genomic Approaches Reveal Pleiotropic Effects in Crossbred Beef Cattle.Frontiers in genetics · 2021Article
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- Genome Wide Association Study of Beef Traits in Local Alpine Breed Reveals the Diversity of the Pathways Involved and the Role of Time Stratification.Frontiers in genetics · 2021Article
- MALDI-TOF-MS-based high throughput genotyping of mutations associated with body measurement traits in cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2020Article
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- Gene Networks Driving Genetic Variation in Milk and Cheese-Making Traits of Spanish Assaf Sheep.Genes · 2020Article
- Weighted Single-Step Genome-Wide Association Study for Growth Traits in Chinese Simmental Beef Cattle.Genes · 2020Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
27 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNelore is the major beef cattle breed in Brazil with more than 130 million heads. Genome-wide association studies (GWAS) are often used to associate markers and genomic regions to growth and meat quality traits that can be used to assist selection programs. An alternative methodology to traditional GWAS that involves the construction of gene network interactions, derived from results of several GWAS is the AWM (Association Weight Matrices)/PCIT (Partial Correlation and Information Theory). With the aim of evaluating the genetic architecture of Brazilian Nelore cattle, we used high-density SNP genotyping data (~770,000 SNP) from 780 Nelore animals comprising 34 half-sibling families derived from highly disseminated and unrelated sires from across Brazil. The AWM/PCIT methodology was employed to evaluate the genes that participate in a series of eight phenotypes related to growth and meat quality obtained from this Nelore sample.
resultsOur results indicate a lack of structuring between the individuals studied since principal component analyses were not able to differentiate families by its sires or by its ancestral lineages. The application of the AWM/PCIT methodology revealed a trio of transcription factors (comprising VDR, LHX9 and ZEB1) which in combination connected 66 genes through 359 edges and whose biological functions were inspected, some revealing to participate in biological growth processes in literature searches.
conclusionsThe diversity of the Nelore sample studied is not high enough to differentiate among families neither by sires nor by using the available ancestral lineage information. The gene networks constructed from the AWM/PCIT methodology were a useful alternative in characterizing genes and gene networks that were allegedly influential in growth and meat quality traits in Nelore cattle.
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