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| Registros recuperados : 36 | |
| 2. |  | TREVISOLI, P. A.; MOREIRA, G. C. M.; BOSCHIERO, C.; PETRINI, J.; MOURÃO, G. B.; LEDUR, M. C.; COUTINHO, L. L. Single nucleotide polymorphism associated with breast trait in chickens. In: PLANT AND ANIMAL GENOME CONFERENCE, 26., 2018, San Diego. Abstracts... [S.l. : s.n.], 2018. Paper 29820. Organizers: Sébastien Praud and Kellye Eversole. PAG XXVI.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 3. | | MOREIRA, G. C. M.; PÉRTILLE, F.; GODOY, T. F.; BRASSOLOTI, R.; BOSCHIERO, C.; LEDUR, M. C.; COUTINHO, L. L. Discovery of candidate genes for fatness in chickens based on genotyping with 600K SNP chip in a QTL region. In: CONGRESSO BRASILEIRO DE GENÉTICA, 60., 2014, Guarujá. Resumos? Ribeirão Preto: Sociedade Brasileira de Genética, 2014. p. 64| Biblioteca(s): Embrapa Suínos e Aves. |
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| 4. | | MOREIRA, G. C. M.; CESAR, A. S. M.; GODOY, T. F.; BOSCHIERO, C.; LEDUR, M. C.; GARRICK, D. J.; MOURA, A. S. A. M. T.; COUTINHO, L. L. Genome-wide association studies reveal genomic windows and candidate genes related to fat deposition in chickens. In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2016. Pôster P0647.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 5. | | GODOY, T. F.; MOREIRA, G. C. M.; SILVA, V. H.; BOSCHIERO, C.; LEDUR, M. C.; MOURA, A. S. A. M. T.; COUTINHO, L. L. Identification of CNVs on the genome of Brazilian chicken lines. In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2016. Pôster P0646.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 6. | | MOREIRA, G. C. M.; GODOY, T. F.; BOSCHIERO, C.; LEDUR, M. C.; GASPARIN, G.; ANDRADE, S. C. da S.; PADUAN, M.; COUTINHO, L. L. Identification of mutations in a QTL region on chromosome 3 associated with fatness in chickens. In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Programme and abstract book... [S.l.: s.n.], 2013. p. 38. ISAFG 2013. AB.31| Biblioteca(s): Embrapa Suínos e Aves. |
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| 7. | | GODOY, T. F.; MOREIRA, G. C. M.; BOSCHIERO, C.; LEDUR, M. C.; GASPARIN, G.; ANDRADE, S. C. da S.; PADUAN, M.; COUTINHO, L. L. Identification of polymorphisms in a QTL region on chicken chromosome 2 associated with muscle deposition. In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Programme and abstract book... [S.l.: s.n.], 2013. p. 39. ISAFG 2013.AB.32| Biblioteca(s): Embrapa Suínos e Aves. |
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| 8. | | GODOY, T. F.; SILVA, V. H. da; MOREIRA, G. C. M.; BOSCHIERO, C.; LEDUR, M. C.; CROOIJAMANS, R. P.; GROENEN, M. A. M.; COUTINHO, L. L. Inherited CNVs in regions related to breast muscle development in a broiler population. In: PLANT AND ANIMAL GENOME CONFERENCE, 26., 2018, San Diego. Abstracts... [S.l. : s.n.], 2018. Paper 29816. Organizers: Sébastien Praud and Kellye Eversole. PAG XXVI.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 9. | | KAPPELER, B. I. G.; REGITANO, L. C. de A.; POLETI, M. D.; CESAR, A. S. M.; MOREIRA, G. C. M.; GASPARIN, G.; COUTINHO, L. L. MiRNAs differentially expressed in skeletal muscle of animals with divergent estimated breeding values for beef tenderness. Molecular Biology, v. 20, n. 1, p. 2-11, 2019.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 10. | | BOSCHIERO, C.; GODOY, T. F.; MOREIRA, G. C. M.; GHEYAS, A. A.; GASPARIN, G.; PADUAN, M.; ANDRADE, S. C. S.; MONTENEGRO, H.; BURT, D. W.; LEDUR, M. C.; COUTINHO, L. L. SNP discovery in a QTL region associated with breast muscle deposition on chicken chromosome 2. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Vancouver: WCGALP: American Society of Animal Science, 2014.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 11. | | GODOY, T. F.; MOREIRA, G. C. M.; BOSCHIERO, C.; GHEYAS, A. A.; GASPARIN, G.; PADUAN, M.; ANDRADE, S. C. S.; MONTENEGRO, H.; BURT, D. W.; LEDUR, M. C.; COUTINHO, L. L. SNP and INDEL detection in a QTL region on chicken chromosome 2 associated with muscle deposition. Animal Genetics, v. 6, n. 2, p. 158-163, 2015.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 12. | | BOSCHIERO, C.; GHEYAS, A.; GODOY, T. F.; MOREIRA, G. C. M.; GRADE, C. V. C.; GASPARIN, G.; PADUAN, M.; ANDRADE, S. C. da S.; BURT, D. W.; LEDUR, M. C.; COUTINHO, L. L. SNPs and INDELS detection in the chicken myostation gene and its intergenic regions. In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Programme and abstract book... [S.l.: s.n.], 2013. p. 24. ISAFG 2013. AB.17.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 13. | | MOREIRA, G. C. M.; SALVIAN, M.; BOSCHIERO, C.; CESAR, A. S. M.; REECY, J. M.; GODOY, T. F.; LEDUR, M. C.; GARRICK, D.; MOURÃO, G. B.; COUTINHO, L. L. Genome-wide association scan for QTL and their positional candidate genes associated with internal organ traits in chickens. BMC Genomics, v. 20, n. 669, 2019.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 14. | | ONO, R. K.; IBELLI, A. M. G.; CANTAO, M. E.; PEIXOTO, J. de O.; SOLLERO, B. P.; SUREK, D.; MOREIRA, G. C. M.; GODOY, T. F.; COUTINHO, L. L.; LEDUR, M. C. Genome-wide association study for femur-related traits in broilers. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland, New Zealand. Proceedings... Massey University, 2018. Digital Archive.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 15. | | PERTILLE, F.; MOREIRA, G. C. M. M.; ZANELLA, R.; NUNES, J. de R. da S.; BOSCHIERO, C.; ROVADOSCKI, G. A.; MOURÃO, G. B.; LEDUR, M. C.; COUTINHO, L. L. Genome-wide association study for performance traits in chickens using genotype by sequencing approach. Scientific Reports, v. 7, n. 41748, 2017.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 16. | | MOREIRA, G. C. M.; BOSCHIERO, C.; CESAR, A. S. M.; REECY, J. M.; GODOY, T. F.; TREVISOLI, P. A.; CANTAO, M. E.; LEDUR, M. C.; IBELLI, A. M. G.; MOURA, A. S. M. T.; GARRICK, D.; COUTINHO, L. L. A genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens. BMC Genomics, v. 19, n. 374, 2018.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 17. | | BOSCHIERO, C.; MOREIRA, G. C. M.; GHEYAS, A.; GODOY, T. F.; GASPARIN, G.; MARIANI, P. D. S. C.; PADUAN, M.; CESAR, A. S. M.; LEDUR, M. C.; COUTINHO, L. L. Genome-wide characterization of genetic variants and putative regions under selection in meat and egg-type chicken lines. BMC Genomics, v. 19, n. 83, 2018.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 18. | | FERNANDES, A. C.; SILVA, V. H. da; GOES, C. P.; MOREIRA, G. C. M.; GODOY, T. F.; IBELLI, A. M. G.; PEIXOTO, J. de O.; CANTAO, M. E.; LEDUR, M. C.; REZENDE, F. M. de; COUTINHO, L. L. Genome-wide detection of CNVs and their association with performance traits in broilers. BMC Genomics, v. 22, n. 354, 2021.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 19. | | GONÇALVES, T. M.; REGITANO, L. C. de A.; KOLTES, J. E.; CESAR, A. S. M.; ANDRADE, S. C. da S.; MOURAO, G. B.; GASPARIN, G.; MOREIRA, G. C. M.; FRITZ-WATERS, E.; REECY, J. M.; COUTINHO, L. L. Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle. Frontiers in Genetics, v.9, n. 441, p. 1-18, 2018.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 20. | | ALMEIDA, O. A. C.; MOREIRA, G. C. M.; REZENDE, F. M.; BOSCHIERO, C.; PEIXOTO, J. de O.; IBELLI, A. M. G.; LEDUR, M. C.; NOVAIS, F. J. de; COUTINHO, L. L. Identification of selection signatures involved in performance traits in a paternal broiler line. BMC Genomics, v. 20, n. 449, 2019.| Biblioteca(s): Embrapa Suínos e Aves. |
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| Registros recuperados : 36 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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Data corrente: |
20/12/2018 |
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Data da última atualização: |
19/02/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CESAR, A. S. M.; REGITANO, L. C. de A.; REECY, J. M.; POLETI, M. D.; OLIVEIRA, P. S. N. de; OLIVEIRA, G. B. de; MOREIRA, G. C. M.; MUDADU, M. de A.; TIZIOTO, P. L.; KOLTES, J. E.; Fritz-Waters, E.; KRAMER, L.; GARRICK, D.; BEIKI, H.; GEISTLINGER, L.; MOURÃO, G. B.; ZERLOTINI NETO, A.; COUTINHO, L. L. |
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Afiliação: |
ALINE S. M. CESAR, USP, Iowa State University; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; JAMES M. REECY, Iowa State University; MIRELE D. POLETI, USP; Priscila Silva Neubern de Oliveira, Bolsista/Embrapa Pecuária Sudeste; GABRIELLA B. DE OLIVEIRA, USP; GABRIEL C. M. MOREIRA, USP; MAURICIO DE ALVARENGA MUDADU, CNPTIA; POLYANA C. TIZIOTO, USP; JAMES EUGENE KOLTES, Iowa State University; Elyn Fritz-Waters, Iowa State University; LUKE KRAMER, Iowa State University; DORIAN GARRICK, Massey University; HAMID BEIKI, Iowa State University; LUDWIG GEISTLINGER, Bolsista/Embrapa Pecuária Sudeste; GERSON B. MOURÃO, USP; ADHEMAR ZERLOTINI NETO, CNPTIA; Luiz Lehmann Coutinho, USP. |
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Título: |
Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
BMC Genomics, v. 19, p. 1-20, 2018. |
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DOI: |
https://doi.org/10.1186/s12864-018-4871-y |
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Idioma: |
Inglês |
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Notas: |
Article number: 499. Na publicação: Luciana C. A. Regitano, Maurício A. Mudadu, Adhemar Zerlotini. |
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Conteúdo: |
Background: Integration of high throughput DNA genotyping and RNA-sequencing data allows for the identification of genomic regions that control gene expression, known as expression quantitative trait loci (eQTL), on a whole genome scale. Intramuscular fat (IMF) content and carcass composition play important roles in metabolic and physiological processes in mammals because they influence insulin sensitivity and consequently prevalence of metabolic diseases such as obesity and type 2 diabetes. However, limited information is available on the genetic variants and mechanisms associated with IMF deposition in mammals. Thus, our hypothesis was that eQTL analyses could identify putative regulatory regions and transcription factors (TFs) associated with intramuscular fat (IMF) content traits. Results: We performed an integrative eQTL study in skeletal muscle to identify putative regulatory regions and factors associated with intramuscular fat content traits. Data obtained from skeletal muscle samples of 192 animals was used for association analysis between 461,466 SNPs and the transcription level of 11,808 genes. This yielded 1268 cis- and 10,334 trans-eQTLs, among which we identified nine hotspot regions that each affected the expression of > 119 genes. These putative regulatory regions overlapped with previously identified QTLs for IMF content. Three of the hotspots respectively harbored the transcription factors USF1, EGR4 and RUNX1T1, which are known to play important roles in lipid metabolism. From co-expression network analysis, we further identified modules significantly correlated with IMF content and associated with relevant processes such as fatty acid metabolism, carbohydrate metabolism and lipid metabolism. Conclusion: This study provides novel insights into the link between genotype and IMF content as evident from the expression level. It thereby identifies genomic regions of particular importance and associated regulatory factors. These new findings provide new knowledge about the biological processes associated with genetic variants and mechanisms associated with IMF deposition in mammals. MenosBackground: Integration of high throughput DNA genotyping and RNA-sequencing data allows for the identification of genomic regions that control gene expression, known as expression quantitative trait loci (eQTL), on a whole genome scale. Intramuscular fat (IMF) content and carcass composition play important roles in metabolic and physiological processes in mammals because they influence insulin sensitivity and consequently prevalence of metabolic diseases such as obesity and type 2 diabetes. However, limited information is available on the genetic variants and mechanisms associated with IMF deposition in mammals. Thus, our hypothesis was that eQTL analyses could identify putative regulatory regions and transcription factors (TFs) associated with intramuscular fat (IMF) content traits. Results: We performed an integrative eQTL study in skeletal muscle to identify putative regulatory regions and factors associated with intramuscular fat content traits. Data obtained from skeletal muscle samples of 192 animals was used for association analysis between 461,466 SNPs and the transcription level of 11,808 genes. This yielded 1268 cis- and 10,334 trans-eQTLs, among which we identified nine hotspot regions that each affected the expression of > 119 genes. These putative regulatory regions overlapped with previously identified QTLs for IMF content. Three of the hotspots respectively harbored the transcription factors USF1, EGR4 and RUNX1T1, which are known to play important roles in l... Mostrar Tudo |
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Palavras-Chave: |
Ácidos graxos; Doenças metabólicas; EQTL; Expressão gênica; Expression quantitative trait loci. |
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Thesaurus NAL: |
Fatty acids; Gene expression; Mammals; Metabolic diseases. |
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Categoria do assunto: |
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L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/189052/1/AP-Identification-Cesar-etal.pdf
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Marc: |
LEADER 03558naa a2200457 a 4500
001 2106227
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008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1186/s12864-018-4871-y$2DOI
100 1 $aCESAR, A. S. M.
245 $aIdentification of putative regulatory regions and transcription factors associated with intramuscular fat content traits.$h[electronic resource]
260 $c2018
500 $aArticle number: 499. Na publicação: Luciana C. A. Regitano, Maurício A. Mudadu, Adhemar Zerlotini.
520 $aBackground: Integration of high throughput DNA genotyping and RNA-sequencing data allows for the identification of genomic regions that control gene expression, known as expression quantitative trait loci (eQTL), on a whole genome scale. Intramuscular fat (IMF) content and carcass composition play important roles in metabolic and physiological processes in mammals because they influence insulin sensitivity and consequently prevalence of metabolic diseases such as obesity and type 2 diabetes. However, limited information is available on the genetic variants and mechanisms associated with IMF deposition in mammals. Thus, our hypothesis was that eQTL analyses could identify putative regulatory regions and transcription factors (TFs) associated with intramuscular fat (IMF) content traits. Results: We performed an integrative eQTL study in skeletal muscle to identify putative regulatory regions and factors associated with intramuscular fat content traits. Data obtained from skeletal muscle samples of 192 animals was used for association analysis between 461,466 SNPs and the transcription level of 11,808 genes. This yielded 1268 cis- and 10,334 trans-eQTLs, among which we identified nine hotspot regions that each affected the expression of > 119 genes. These putative regulatory regions overlapped with previously identified QTLs for IMF content. Three of the hotspots respectively harbored the transcription factors USF1, EGR4 and RUNX1T1, which are known to play important roles in lipid metabolism. From co-expression network analysis, we further identified modules significantly correlated with IMF content and associated with relevant processes such as fatty acid metabolism, carbohydrate metabolism and lipid metabolism. Conclusion: This study provides novel insights into the link between genotype and IMF content as evident from the expression level. It thereby identifies genomic regions of particular importance and associated regulatory factors. These new findings provide new knowledge about the biological processes associated with genetic variants and mechanisms associated with IMF deposition in mammals.
650 $aFatty acids
650 $aGene expression
650 $aMammals
650 $aMetabolic diseases
653 $aÁcidos graxos
653 $aDoenças metabólicas
653 $aEQTL
653 $aExpressão gênica
653 $aExpression quantitative trait loci
700 1 $aREGITANO, L. C. de A.
700 1 $aREECY, J. M.
700 1 $aPOLETI, M. D.
700 1 $aOLIVEIRA, P. S. N. de
700 1 $aOLIVEIRA, G. B. de
700 1 $aMOREIRA, G. C. M.
700 1 $aMUDADU, M. de A.
700 1 $aTIZIOTO, P. L.
700 1 $aKOLTES, J. E.
700 1 $aFritz-Waters, E.
700 1 $aKRAMER, L.
700 1 $aGARRICK, D.
700 1 $aBEIKI, H.
700 1 $aGEISTLINGER, L.
700 1 $aMOURÃO, G. B.
700 1 $aZERLOTINI NETO, A.
700 1 $aCOUTINHO, L. L.
773 $tBMC Genomics$gv. 19, p. 1-20, 2018.
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Embrapa Pecuária Sudeste (CPPSE) |
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