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 | Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
29/03/2022 |
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Data da última atualização: |
20/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, L. R. da; ZACARONI, A. B.; MUNIZ, P. H. P. C.; BOTELHO, A. S.; MELLO, S. C. M. de. |
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Afiliação: |
LINCON RAFAEL DA SILVA, UEG; ANA BEATRIZ ZACARONI; PAULO HENRIQUE PEREIRA COSTA MUNIZ, UEG; AMANDA SILVA BOTELHO, UNB; SUELI CORREA MARQUES DE MELLO, Cenargen. |
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Título: |
Trichoderma: suas interações e uma abordagem metodológica aplicada ao estudo de compostos orgânicos voláteis para o mofo-branco e promoção de crescimento de plantas. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Revisão Anual de Patologia de Plantas, v. 28, p. 163-183, 2022. |
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DOI: |
doi: 10.31976/0104-038321v280007 |
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Idioma: |
Português |
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Palavras-Chave: |
Antagonistic fungus; Fungo antagonista; Metabólitos secundários. |
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Thesagro: |
Controle Biológico; Sclerotinia Sclerotiorum. |
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Thesaurus Nal: |
Biological control; Secondary metabolites. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00917naa a2200253 a 4500
001 2141563
005 2023-01-20
008 2022 bl uuuu u00u1 u #d
024 7 $adoi: 10.31976/0104-038321v280007$2DOI
100 1 $aSILVA, L. R. da
245 $aTrichoderma$bsuas interações e uma abordagem metodológica aplicada ao estudo de compostos orgânicos voláteis para o mofo-branco e promoção de crescimento de plantas.$h[electronic resource]
260 $c2022
650 $aBiological control
650 $aSecondary metabolites
650 $aControle Biológico
650 $aSclerotinia Sclerotiorum
653 $aAntagonistic fungus
653 $aFungo antagonista
653 $aMetabólitos secundários
700 1 $aZACARONI, A. B.
700 1 $aMUNIZ, P. H. P. C.
700 1 $aBOTELHO, A. S.
700 1 $aMELLO, S. C. M. de
773 $tRevisão Anual de Patologia de Plantas$gv. 28, p. 163-183, 2022.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Registro Completo
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
28/08/2014 |
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Data da última atualização: |
02/04/2019 |
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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: |
PERINI, P.; PASQUALI, G.; MARGIS-PINHEIRO, M.; OLIVEIRA, P. R. D. de; REVERS, L. F. |
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Afiliação: |
Pâmela Perini; Giancarlo Pasquali; Márcia Margis-Pinheiro; PAULO RICARDO DIAS DE OLIVEIRA, CNPUV; LUIS FERNANDO REVERS, CNPUV. |
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Título: |
Reference genes for transcriptional analysis of flowering and fruit ripening stages in apple (Malus 3 domestica Borkh.). |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Molecular Breeding, mar. 2014. |
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Idioma: |
Inglês |
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Notas: |
DOI 10.1007/s11032-014-0078-3 |
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Conteúdo: |
Apple (Malus 9 domestica Borkh.) is the most important deciduous tree fruit crop grown around the world. Comparisons of gene expression profiles from different tissues, conditions or cultivars are valuable scientific tools to better understand the gene expression changes behind important silvicultural and nutritional traits. However, the accuracy of techniques employed to access gene expression is dependent on the evaluation of stable reference genes for data normalization to avoid statistical significance undue or incorrect conclusions. The objective of this work was to select the best genes to be used as references for gene expression studies in apple trees by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Vegetative and reproductive tissues of the apple ??Gala?? cultivar were evaluated during their seasonal cycle of growth and dormancy. The expression of 23 traditional housekeeping genes or genes suggested as constitutive by microarray data was investigated. Tested combinations of primers allowed the specific amplification and the generation of suitable efficiency curves for gene expression studies by RT-qPCR. Gene stability was determined by two different statistical descriptors, geNorm and Norm-Finder. The known variable PAL gene expression was used to validate selected normalizers. Results obtained allowed us to conclude that MDH, SAND, THFS, TMp1 and WD40 are the best reference genes to accurately normalize the relative transcript abundances using RT-qPCR in various tissues of apple. MenosApple (Malus 9 domestica Borkh.) is the most important deciduous tree fruit crop grown around the world. Comparisons of gene expression profiles from different tissues, conditions or cultivars are valuable scientific tools to better understand the gene expression changes behind important silvicultural and nutritional traits. However, the accuracy of techniques employed to access gene expression is dependent on the evaluation of stable reference genes for data normalization to avoid statistical significance undue or incorrect conclusions. The objective of this work was to select the best genes to be used as references for gene expression studies in apple trees by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Vegetative and reproductive tissues of the apple ??Gala?? cultivar were evaluated during their seasonal cycle of growth and dormancy. The expression of 23 traditional housekeeping genes or genes suggested as constitutive by microarray data was investigated. Tested combinations of primers allowed the specific amplification and the generation of suitable efficiency curves for gene expression studies by RT-qPCR. Gene stability was determined by two different statistical descriptors, geNorm and Norm-Finder. The known variable PAL gene expression was used to validate selected normalizers. Results obtained allowed us to conclude that MDH, SAND, THFS, TMp1 and WD40 are the best reference genes to accurately normalize the relative transcript abundances u... Mostrar Tudo |
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Palavras-Chave: |
Expressão genética; Gala; Genes de referencia; RT-qPCR. |
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Thesagro: |
Genetica vegetal; Maçã. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/107436/1/Perini2014-Reference-Genes-Apple.pdf
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Marc: |
LEADER 02287naa a2200253 a 4500
001 1993623
005 2019-04-02
008 2014 bl uuuu u00u1 u #d
100 1 $aPERINI, P.
245 $aReference genes for transcriptional analysis of flowering and fruit ripening stages in apple (Malus 3 domestica Borkh.).$h[electronic resource]
260 $c2014
500 $aDOI 10.1007/s11032-014-0078-3
520 $aApple (Malus 9 domestica Borkh.) is the most important deciduous tree fruit crop grown around the world. Comparisons of gene expression profiles from different tissues, conditions or cultivars are valuable scientific tools to better understand the gene expression changes behind important silvicultural and nutritional traits. However, the accuracy of techniques employed to access gene expression is dependent on the evaluation of stable reference genes for data normalization to avoid statistical significance undue or incorrect conclusions. The objective of this work was to select the best genes to be used as references for gene expression studies in apple trees by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Vegetative and reproductive tissues of the apple ??Gala?? cultivar were evaluated during their seasonal cycle of growth and dormancy. The expression of 23 traditional housekeeping genes or genes suggested as constitutive by microarray data was investigated. Tested combinations of primers allowed the specific amplification and the generation of suitable efficiency curves for gene expression studies by RT-qPCR. Gene stability was determined by two different statistical descriptors, geNorm and Norm-Finder. The known variable PAL gene expression was used to validate selected normalizers. Results obtained allowed us to conclude that MDH, SAND, THFS, TMp1 and WD40 are the best reference genes to accurately normalize the relative transcript abundances using RT-qPCR in various tissues of apple.
650 $aGenetica vegetal
650 $aMaçã
653 $aExpressão genética
653 $aGala
653 $aGenes de referencia
653 $aRT-qPCR
700 1 $aPASQUALI, G.
700 1 $aMARGIS-PINHEIRO, M.
700 1 $aOLIVEIRA, P. R. D. de
700 1 $aREVERS, L. F.
773 $tMolecular Breeding, mar. 2014.
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