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| 3. |  | NEVES, L. G.; PAPPAS JUNIOR, G. J.; PAQUALI, G.; KIRST, M.; GRATTAPAGLIA, D. Advancing to a high density gene-rich map based on single feature polymorphisms in tropical eucalyptus. In: INTERNATIONAL PLANT & ANIMAL GENOMES CONFERENCE, 17., 2009, San Diego, CA. [Proceedings...]. [S. l.: s.n.], 2009. W185| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 4. | | TESSELE, C.; REVERS, L. F.; ALENCAR, S. A.; PAPPAS JUNIOR, G. J.; DELATORRE, C. A. Construção de um mapa genético de macieira de alta densidade utilizando marcadores funcionais tipo SNP. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 22., 2012, Bento Gonçalves. Anais... Bento Gonçalves: SBF, p. 4574-4577, 2012.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 17. | | EMEDIATO, F. L.; PASSOS, M. A. N.; TEIXEIRA, C. de C.; PAPPAS JUNIOR, G. J.; MILLER, R. N. G. Análise de expressão de genes análogos de resistência em musa acuminata durante as interações compatíveis e incompatíveis com Mycosphaerella musicola. In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 45., 2012, Manaus. Fito 2012. Tropical Plant Pathology, Brasília, DF, v. 37, 2012. Suplemento. Resumo 708. 1 CD-ROM.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
12/09/2014 |
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Data da última atualização: |
29/04/2024 |
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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: |
MÜLLER, B. S. de F.; SAKAMOTO, T.; SILVEIRA, R. D. D.; ZAMBUSSI-CARVALHO, P. F.; PEREIRA, M.; PAPPAS JUNIOR, G. J.; COSTA, M. M. do C.; GUIMARÃES, C. M.; PEREIRA, W. J.; BRONDANI, C.; VIANELLO-BRONDANI, R. P. |
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Afiliação: |
BÁRBARA SALOMÃO DE FARIA MÜLLER, BIOAGRO - UFV; TETSU SAKAMOTO, UFMG; RICARDO DIÓGENES DIAS SILVEIRA; PATRICIA FERNANDA ZAMBUSSI-CARVALHO, UFG; MARISTELA PEREIRA, UFG; GEORGIOS JOANIS PAPPAS JUNIOR, UNB; MARCOS MOTA DO CARMO COSTA, CENARGEN; CLEBER MORAIS GUIMARAES, CNPAF; WENDELL JACINTO PEREIRA; CLAUDIO BRONDANI, CNPAF; ROSANA PEREIRA VIANELLO, CNPAF. |
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Título: |
Differentially expressed genes during flowering and grain filling in common bean (Phaseolus vulgaris) grown under drought stress conditions. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Plant Molecular Biology Reporter, Athens, v. 32, p. 438-451, 2014. |
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DOI: |
10.1007/s11105-013-0651-7 |
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Idioma: |
Inglês |
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Conteúdo: |
Drought stress, particularly during the flowering and grain-filling stages of growth, contributes to serious yield loss in common bean (Phaseolus vulgaris L.). The aim of this study was to identify genes induced in response to drought stress using transcriptome analysis of contrasting genotypes. Using leaf tissues of tolerant (BAT 477) and susceptible common bean genotypes (Pérola), collected at the flowering and grain-filling stages, four complementary deoxyribonucleic acid representational difference analysis subtractive libraries were constructed and then sequenced. A total of 7,203 (77.6 %) sequences with an average sequence size of 570 bp were considered valid, for a combined 4 Mbp sequence. According to a differential display analysis, 802 expressed sequence tags, distributed across 67 contigs, were differentially expressed by the tolerant (37 contigs) and susceptible genotypes (30 contigs) after identification under drought conditions during the two investigated plant developmental stages. Of these differential contigs, the 13 most frequent genes were exclusive to the tolerant genotype. Based on BLAST2GO, 73 % of the gene sequences were annotated and 12 % showed mapping results, with the highest similarity rate corresponding to Glycine max (41 %). According to gene ontology functional analysis, 48 % of the sequences were attributed to cell metabolic processes. Overall, 8.3 % of the transcribed sequences exhibited similarity to transcription factors, predominantly those of the AP2-EREBP family (97.8 %). Of the target sequences validated by quantitative real-time polymerase chain reaction, most genes showed an expression level that agreed with that predicted by in silico analysis. Thus, the drought transcriptome dataset is a valuable resource on the variation in these gene sequences, offering the opportunity to identify robust molecular markers tightly linked to trait-controlling loci for use in marker-assisted breeding. MenosDrought stress, particularly during the flowering and grain-filling stages of growth, contributes to serious yield loss in common bean (Phaseolus vulgaris L.). The aim of this study was to identify genes induced in response to drought stress using transcriptome analysis of contrasting genotypes. Using leaf tissues of tolerant (BAT 477) and susceptible common bean genotypes (Pérola), collected at the flowering and grain-filling stages, four complementary deoxyribonucleic acid representational difference analysis subtractive libraries were constructed and then sequenced. A total of 7,203 (77.6 %) sequences with an average sequence size of 570 bp were considered valid, for a combined 4 Mbp sequence. According to a differential display analysis, 802 expressed sequence tags, distributed across 67 contigs, were differentially expressed by the tolerant (37 contigs) and susceptible genotypes (30 contigs) after identification under drought conditions during the two investigated plant developmental stages. Of these differential contigs, the 13 most frequent genes were exclusive to the tolerant genotype. Based on BLAST2GO, 73 % of the gene sequences were annotated and 12 % showed mapping results, with the highest similarity rate corresponding to Glycine max (41 %). According to gene ontology functional analysis, 48 % of the sequences were attributed to cell metabolic processes. Overall, 8.3 % of the transcribed sequences exhibited similarity to transcription factors, predominantly thos... Mostrar Tudo |
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Thesagro: |
Deficiência hídrica; Feijão; Phaseolus vulgaris. |
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Thesaurus NAL: |
Abiotic stress; Beans; Water stress. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/180004/1/Muller2014-Article-DifferentiallyExpressedGenesDu.pdf
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Marc: |
LEADER 02986naa a2200325 a 4500
001 1994817
005 2024-04-29
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1007/s11105-013-0651-7$2DOI
100 1 $aMÜLLER, B. S. de F.
245 $aDifferentially expressed genes during flowering and grain filling in common bean (Phaseolus vulgaris) grown under drought stress conditions.$h[electronic resource]
260 $c2014
520 $aDrought stress, particularly during the flowering and grain-filling stages of growth, contributes to serious yield loss in common bean (Phaseolus vulgaris L.). The aim of this study was to identify genes induced in response to drought stress using transcriptome analysis of contrasting genotypes. Using leaf tissues of tolerant (BAT 477) and susceptible common bean genotypes (Pérola), collected at the flowering and grain-filling stages, four complementary deoxyribonucleic acid representational difference analysis subtractive libraries were constructed and then sequenced. A total of 7,203 (77.6 %) sequences with an average sequence size of 570 bp were considered valid, for a combined 4 Mbp sequence. According to a differential display analysis, 802 expressed sequence tags, distributed across 67 contigs, were differentially expressed by the tolerant (37 contigs) and susceptible genotypes (30 contigs) after identification under drought conditions during the two investigated plant developmental stages. Of these differential contigs, the 13 most frequent genes were exclusive to the tolerant genotype. Based on BLAST2GO, 73 % of the gene sequences were annotated and 12 % showed mapping results, with the highest similarity rate corresponding to Glycine max (41 %). According to gene ontology functional analysis, 48 % of the sequences were attributed to cell metabolic processes. Overall, 8.3 % of the transcribed sequences exhibited similarity to transcription factors, predominantly those of the AP2-EREBP family (97.8 %). Of the target sequences validated by quantitative real-time polymerase chain reaction, most genes showed an expression level that agreed with that predicted by in silico analysis. Thus, the drought transcriptome dataset is a valuable resource on the variation in these gene sequences, offering the opportunity to identify robust molecular markers tightly linked to trait-controlling loci for use in marker-assisted breeding.
650 $aAbiotic stress
650 $aBeans
650 $aWater stress
650 $aDeficiência hídrica
650 $aFeijão
650 $aPhaseolus vulgaris
700 1 $aSAKAMOTO, T.
700 1 $aSILVEIRA, R. D. D.
700 1 $aZAMBUSSI-CARVALHO, P. F.
700 1 $aPEREIRA, M.
700 1 $aPAPPAS JUNIOR, G. J.
700 1 $aCOSTA, M. M. do C.
700 1 $aGUIMARÃES, C. M.
700 1 $aPEREIRA, W. J.
700 1 $aBRONDANI, C.
700 1 $aVIANELLO-BRONDANI, R. P.
773 $tPlant Molecular Biology Reporter, Athens$gv. 32, p. 438-451, 2014.
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