Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131655
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dc.contributor.authorCARDOSO, T. F.
dc.contributor.authorCOUTINHO, L. L.
dc.contributor.authorBRUSCADIN, J. J.
dc.contributor.authorDINIZ, W. J. da S.
dc.contributor.authorPETRINI, J.
dc.contributor.authorANDRADE, B. G. N.
dc.contributor.authorOLIVEIRA, P. S. N. de
dc.contributor.authorPOLETI, M. D.
dc.contributor.authorCESAR, A. S. M.
dc.contributor.authorSILVEIRA, J. C. DA
dc.contributor.authorCHIARATTI, M. R.
dc.contributor.authorZERLOTINI NETO, A.
dc.contributor.authorMOURÃO, G. B.
dc.contributor.authorREGITANO, L. C. de A.
dc.date.accessioned2021-05-04T15:30:54Z-
dc.date.available2021-05-04T15:30:54Z-
dc.date.created2021-05-04
dc.date.issued2021
dc.identifier.citationGenes, v. 12, n. 1, p. 1-18, Jan. 2021.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1131655-
dc.descriptionMicroRNAs (miRNAs) are key regulators of gene expression, potentially affecting several biological processes, whose function can be altered by sequence variation. Hence, the integration of single nucleotide polymorphisms (SNP) and miRNAs can explain individual differences in economic traits. To provide new insights into the effects of SNPs on miRNAs and their related target genes, we carried out a multi-omic analysis to identify SNPs in miRNA mature sequences (miR-SNPs) associated with fatty acid (FA) composition in the Nelore cattle. As a result, we identified 3 miR-SNPs in different miRNAs (bta-miR-2419-3p, bta-miR-193a-2, and bta-miR-1291) significantly associated with FA traits (p-value < 0.02, Bonferroni corrected). Among these, the rs110817643C>T, located in the seed sequence of the bta-miR-1291, was associated with different ?6 FAs, polyunsaturated FA, and polyunsaturated:saturated FA ratios. Concerning the other two miR-SNPs, the rs43400521T>C (located in the bta-miR-2419-3p) was associated with C12:0 and C18:1 cis-11 FA, whereas the rs516857374A>G (located in the bta-miR-193a-2) was associated with C18:3 ?6 and ratio of ?6/?3 traits. Additionally, to identify potential biomarkers for FA composition, we described target genes affected by these miR-SNPs at the mRNA or protein level. Our multi-omics analysis outlines the effects of genetic polymorphism on miRNA, and it highlights miR-SNPs and target candidate genes that control beef fatty acid composition.
dc.language.isoeng
dc.rightsopenAccesseng
dc.subjectAnálise multiômica
dc.subjectExpressão gênica
dc.subjectPolimorfismo de nucleotídeo único
dc.subjectAssociation analysis
dc.subjectMiRNAs
dc.titleMulti-omics approach reveals miR-SNPs affecting muscle fatty acids profile in Nelore cattle.
dc.typeArtigo de periódico
dc.subject.thesagroBos Indicus
dc.subject.nalthesaurusBeef quality
dc.subject.nalthesaurusPolymorphism
dc.subject.nalthesaurusGene expression
dc.subject.nalthesaurusSingle nucleotide polymorphism
dc.description.notesArticle 67. Na publicação: Adhemar Zerlotini.
riaa.ainfo.id1131655
riaa.ainfo.lastupdate2021-05-04
dc.identifier.doihttps://doi.org/10.3390/genes12010067
dc.contributor.institutionTAINÃ FIGUEIREDO CARDOSO; LUIZ LEHMANN COUTINHO, ESALQ/USP; JENNIFER JESSICA BRUSCADIN, UFSCAR; WELLISON JARLES DA SILVA DINIZ, North Dakota State University; JULIANA PETRINI, ESALQ/USP; BRUNO GABRIEL NASCIMENTO ANDRADE; PRISCILA SILVA NEUBERN DE OLIVEIRA, UFSCAR; MIRELE DAIANA POLETI, USP; ALINE SILVA MELLO CESAR, ESALQ/USP; JULIANO COELHO DA SILVEIRA, USP; MARCOS ROBERTO CHIARATTI, UFSCAR; ADHEMAR ZERLOTINI NETO, CNPTIA; GERSON BARRETO MOURÃO, ESALQ/USP; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE.
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