Potential biomarkers for feed efficiency-related traits in nelore cattle identified by co-expression network and integrative genomics analyses (2020)
- Authors:
- Lima, Andressa O. de
- Koltes, James E
- Diniz, Wellison J. S
- Oliveira, Priscila S. N. de
- Cesar, Aline Silva Mello

- Tizioto, Polyana C
- Afonso, Juliana
- Souza, Marcela M. de
- Petrini, Juliana
- Rocha, Marina Ibelli Pereira
- Cardoso, Taina F
- Zerlotini Neto, Adhemar
- Coutinho, Luiz Lehmann

- Mourão, Gerson Barreto

- Regitano, Luciana C. A
- USP affiliated authors: COUTINHO, LUIZ LEHMANN - ESALQ ; MOURÃO, GERSON BARRETO - ESALQ ; CESAR, ALINE SILVA MELLO - ESALQ
- Unidade: ESALQ
- DOI: 10.3389/fgene.2020.00189
- Subjects: BIOMARCADORES; ALIMENTAÇÃO ANIMAL; GADO NELORE; GENÔMICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Frontiers in Genetics
- ISSN: 1664-8021
- Volume/Número/Paginação/Ano: v. 11, art. 189, p. 1-14, 2020
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
LIMA, Andressa O. de et al. Potential biomarkers for feed efficiency-related traits in nelore cattle identified by co-expression network and integrative genomics analyses. Frontiers in Genetics, v. 11, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.3389/fgene.2020.00189. Acesso em: 31 mar. 2026. -
APA
Lima, A. O. de, Koltes, J. E., Diniz, W. J. S., Oliveira, P. S. N. de, Cesar, A. S. M., Tizioto, P. C., et al. (2020). Potential biomarkers for feed efficiency-related traits in nelore cattle identified by co-expression network and integrative genomics analyses. Frontiers in Genetics, 11, 1-14. doi:10.3389/fgene.2020.00189 -
NLM
Lima AO de, Koltes JE, Diniz WJS, Oliveira PSN de, Cesar ASM, Tizioto PC, Afonso J, Souza MM de, Petrini J, Rocha MIP, Cardoso TF, Zerlotini Neto A, Coutinho LL, Mourão GB, Regitano LCA. Potential biomarkers for feed efficiency-related traits in nelore cattle identified by co-expression network and integrative genomics analyses [Internet]. Frontiers in Genetics. 2020 ; 11 1-14.[citado 2026 mar. 31 ] Available from: https://doi.org/10.3389/fgene.2020.00189 -
Vancouver
Lima AO de, Koltes JE, Diniz WJS, Oliveira PSN de, Cesar ASM, Tizioto PC, Afonso J, Souza MM de, Petrini J, Rocha MIP, Cardoso TF, Zerlotini Neto A, Coutinho LL, Mourão GB, Regitano LCA. Potential biomarkers for feed efficiency-related traits in nelore cattle identified by co-expression network and integrative genomics analyses [Internet]. Frontiers in Genetics. 2020 ; 11 1-14.[citado 2026 mar. 31 ] Available from: https://doi.org/10.3389/fgene.2020.00189 - Genetic regulators of mineral amount in Nelore cattle muscle predicted by a new co-expression and regulatory impact factor approach
- Co-expression networks reveal potential regulatory roles of miRNAs in fatty acid of nelore cattle
- A single nucleotide polymorphism in NEUROD1 is associated with production traits in Nelore beef cattle
- PSVII-7 Putative epigenetic regulating fatty acids content in muscle of Nelore cattle
- An integrative transcriptome analysis indicates regulatory mRNA-miRNA networks for residual feed intake in Nelore cattle
- Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits
- Iron Content Affects Lipogenic Gene Expression in the Muscle of Nelore Beef Cattle
- Interplay among miR-29 family, mineral metabolism, and gene regulation in Bos indicus muscle
- Allele-specific expression is widespread in Bos indicus muscle and affects meat quality candidate genes
- Detection of Co-expressed pathway modules mssociated with mineral concentration and meat quality in nelore cattle
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Por se tratar de integração com serviço externo, podem existir diferentes versões do trabalho (como preprints ou postprints), que podem diferir da versão publicada.
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 2995769-Potential Biomark... | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
