Multi-Omics Approach Reveals miR-SNPs Affecting Muscle Fatty Acids Profile in Nelore Cattle (2021)
- Authors:
- Cardoso, Tainã Figueiredo
- Coutinho, Luiz Lehmann

- Bruscadin, Jennifer Jessica
- Diniz, Wellison Jarles da Silva
- Petrini, Juliana

- Andrade, Bruno Gabriel Nascimento
- Oliveira, Priscila Silva Neubern de
- Poleti, Mirele Daiana

- Cesar, Aline Silva Mello

- Silveira, Juliano Coelho da

- Chiaratti, Marcos Roberto
- Zerlotini Neto, Adhemar
- Mourão, Gerson Barreto

- Regitano, Luciana Correia de Almeida
- USP affiliated authors: COUTINHO, LUIZ LEHMANN - ESALQ ; MOURÃO, GERSON BARRETO - ESALQ ; PETRINI, JULIANA - ESALQ ; POLETI, MIRELE DAIANA - FZEA ; CESAR, ALINE SILVA MELLO - ESALQ ; SILVEIRA, JULIANO COELHO DA - FZEA
- Unidades: ESALQ; FZEA
- DOI: 10.3390/genes12010067
- Subjects: ÁCIDOS GRAXOS; CARNES E DERIVADOS; GADO NELORE; MARCADOR MOLECULAR; MICRORNAS; MÚSCULOS; POLIMORFISMO
- Keywords: Análise de associação
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
CARDOSO, Tainã Figueiredo et al. Multi-Omics Approach Reveals miR-SNPs Affecting Muscle Fatty Acids Profile in Nelore Cattle. Genes, v. 12, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/genes12010067. Acesso em: 28 dez. 2025. -
APA
Cardoso, T. F., Coutinho, L. L., Bruscadin, J. J., Diniz, W. J. da S., Petrini, J., Andrade, B. G. N., et al. (2021). Multi-Omics Approach Reveals miR-SNPs Affecting Muscle Fatty Acids Profile in Nelore Cattle. Genes, 12, 1-18. doi:10.3390/genes12010067 -
NLM
Cardoso TF, Coutinho LL, Bruscadin JJ, Diniz WJ da S, Petrini J, Andrade BGN, Oliveira PSN de, Poleti MD, Cesar ASM, Silveira JC da, Chiaratti MR, Zerlotini Neto A, Mourão GB, Regitano LC de A. Multi-Omics Approach Reveals miR-SNPs Affecting Muscle Fatty Acids Profile in Nelore Cattle [Internet]. Genes. 2021 ; 12 1-18.[citado 2025 dez. 28 ] Available from: https://doi.org/10.3390/genes12010067 -
Vancouver
Cardoso TF, Coutinho LL, Bruscadin JJ, Diniz WJ da S, Petrini J, Andrade BGN, Oliveira PSN de, Poleti MD, Cesar ASM, Silveira JC da, Chiaratti MR, Zerlotini Neto A, Mourão GB, Regitano LC de A. Multi-Omics Approach Reveals miR-SNPs Affecting Muscle Fatty Acids Profile in Nelore Cattle [Internet]. Genes. 2021 ; 12 1-18.[citado 2025 dez. 28 ] Available from: https://doi.org/10.3390/genes12010067 - Stool and ruminal microbiome components associated with methane emission and feed efficiency in Nelore beef cattle
- Bivariate GWAS reveals pleiotropic regions among feed efficiency and beef quality-related traits in Nelore cattle
- Co-expression networks reveal potential regulatory roles of miRNAs in fatty acid of nelore cattle
- Genetic regulators of mineral amount in Nelore cattle muscle predicted by a new co-expression and regulatory impact factor approach
- Potential biomarkers for feed efficiency-related traits in nelore cattle identified by co-expression network and integrative genomics analyses
- Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle
- Prune homolog 2 with BCH domain (PRUNE2) gene expression is associated with feed efficiency-related traits in Nelore steers
- EEF1A1 transcription cofactor gene polymorphism is associated with muscle gene expression and residual feed intake in Nelore cattle
- Differential allele-specific expression revealed functional variants and candidate genes related to meat quality traits in B. indicus muscle
- 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
Informações sobre o DOI: 10.3390/genes12010067 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3015060-Multi-Omics Appro... | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas