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| 43. |  | ASSIS, R. G. da S.; VIEIRA, L. H.; AMABILE, R. F.; GODINHO, V. de P. C.; MATOS, V. A. T. de; RAMOS, N. P.; SILVA, A. G. da; CARVALHO, C. G. P. Adaptabilidade e estabilidade de híbridos de girassol em segunda safra de verão no Brasil. In: JORNADA ACADÊMICA DA EMBRAPA SOJA, 18., 2023, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2023. (Embrapa Soja. Documentos, 453). Regina Maria Villas Bôas de Campos Leite, Larissa Alexandra Cardoso Moraes, Kelly Catharin, Editoras Técnicas. p. 120-125.| Biblioteca(s): Embrapa Cerrados; Embrapa Rondônia; Embrapa Soja. |
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| 51. | | ALVES, A. C. A. M.; GERMANO, M. G.; ANDRADE, F. A.; KLEINERT, J. J.; CASTRO, C. de; OLIVEIRA JUNIOR, A. de; OLIVEIRA, F. A. de. Acidez potencial estimada pelo método do pH SMP em solos da Fazenda Modelo da Embrapa em Ponta Grossa-PR. In: JORNADA ACADÊMICA DA EMBRAPA SOJA, 18., 2023, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2023. (Embrapa Soja. Documentos, 453). Regina Maria Villas Bôas de Campos Leite, Larissa Alexandra Cardoso Moraes, Kelly Catharin, Editoras Técnicas. p. 113-119.| Biblioteca(s): Embrapa Soja. |
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| 53. | | YAMANAKA, N.; SILVA, D. C. G. da; GILLI, J. R.; FUENTES, F. H.; YANG, Z.; POLIZEL, A.; SATO, H.; WATANABE, S.; BAN, T.; HOMMA, Y.; HARADA, K.; BROGIN, R. L.; NEPOMUCENO, A. L.; ABDELNOOR, R. V. Application of DNA markers for identifying genes for resistance to soybean diseases in South America and for evaluating genetic relationships among soybean gene pools. In: SUENAGA, K.; KUDO, H.; OSHIO, S. (Ed.). Comprehensive studies on the development of sustainable soybean production technology in South America. Tsukuba: JIRCAS, 2007. p. 47-53. (JIRCAS Working Report, 51).| Biblioteca(s): Embrapa Soja. |
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| 54. | | HIRAKURI, M. H.; CONTE, O.; PRANDO, A. M.; CASTRO, C. de; BALBINOT JUNIOR, A. A.; CAMPOS, L. J. M. Análise econômico-financeira da produção de soja na macrorregião sojícola 4. In: HIRAKURI, M. H.; CONTE, O.; PRANDO, A. M.; CASTRO, C. de; BALBINOT JUNIOR, A. A. (Ed.). Diagnóstico da produção de soja na macrorregião sojícola 4. Londrina: Embrapa Soja, 2019. (Embrapa Soja. Documentos, 412). p. 63-95.| Biblioteca(s): Embrapa Soja. |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
02/09/2013 |
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Data da última atualização: |
04/04/2022 |
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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: |
LOPES-CAITAR, V. S.; CARVALHO, M. C. C. G. de; LUANA M. DARBEN; KUWAHARA, M. K.; NEPOMUCENO, A. L.; DIAS, W. P.; ABDELNOOR, R. V.; MARCELINO-GUIMARÃES, F. C. |
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Afiliação: |
VALÉRIA S. LOPES-CAITAR; MAYRA C. C. G. DE CARVALHO, UENP; MARCIA KAMOGAE KUWAHARA, CNPSO; ALEXANDRE LIMA NEPOMUCENO, SRI; WALDIR PEREIRA DIAS, CNPSO; RICARDO VILELA ABDELNOOR, CNPSO; FRANCISMAR CORREA MARCELINO GUIMARA, CNPSO. |
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Título: |
Genome-wide analysis of the Hsp20 gene family in soybean: comprehensive sequence, genomic organization and expression profile analysis under abiotic and biotic stresses. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
BMC Genomics, v. 14, article 577, 2013. |
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Páginas: |
17 p. |
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ISSN: |
1471-2164 |
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DOI: |
10.1186/1471-2164-14-577 |
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Idioma: |
Inglês |
|
Conteúdo: |
The Hsp20 genes are associated with stress caused by HS and other abiotic factors, but have recently been found to be associated with the response to biotic stresses. These genes represent the most abundant class among the HSPs in plants, but little is known about this gene family in soybean. Because of their apparent multifunctionality, these proteins are promising targets for developing crop varieties that are better adapted to biotic and abiotic stresses. Thus, in the present study an in silico identification of GmHsp20 gene family members was performed, and the genes were characterized and subjected to in vivo expression analysis under biotic and abiotic stresses. A search of the available soybean genome databases revealed 51 gene models as potential GmHsp20 candidates. The 51 GmHsp20 genes were distributed across a total of 15 subfamilies where a specific predicted secondary structure was identified. Based on in vivo analysis, only 47 soybean Hsp20 genes were responsive to heat shock stress. Among the GmHsp20 genes that were potentials HSR, five were also cold-induced, and another five, in addition to one GmAcd gene, were responsive to Meloidogyne javanica infection. Furthermore, one predicted GmHsp20 was shown to be responsive only to nematode infection; no expression change was detected under other stress conditions. Some of the biotic stress-responsive GmHsp20 genes exhibited a divergent expression pattern between resistant and susceptible soybean genotypes under M. javanica infection. The putative regulatory elements presenting some conservation level in the GmHsp20 promoters included HSE, W-box, CAAT box, and TA-rich elements. Some of these putative elements showed a unique occurrence pattern among genes responsive to nematode infection. The evolution of Hsp20 family in soybean genome has most likely involved a total of 23 gene duplications. The obtained expression profiles revealed that the majority of the 51 GmHsp20 candidates are induced under HT, but other members of this family could also be involved in normal cellular functions, unrelated to HT. Some of the GmHsp20 genes might be specialized to respond to nematode stress, and the predicted promoter structure of these genes seems to have a particular conserved pattern related to their biological function. MenosThe Hsp20 genes are associated with stress caused by HS and other abiotic factors, but have recently been found to be associated with the response to biotic stresses. These genes represent the most abundant class among the HSPs in plants, but little is known about this gene family in soybean. Because of their apparent multifunctionality, these proteins are promising targets for developing crop varieties that are better adapted to biotic and abiotic stresses. Thus, in the present study an in silico identification of GmHsp20 gene family members was performed, and the genes were characterized and subjected to in vivo expression analysis under biotic and abiotic stresses. A search of the available soybean genome databases revealed 51 gene models as potential GmHsp20 candidates. The 51 GmHsp20 genes were distributed across a total of 15 subfamilies where a specific predicted secondary structure was identified. Based on in vivo analysis, only 47 soybean Hsp20 genes were responsive to heat shock stress. Among the GmHsp20 genes that were potentials HSR, five were also cold-induced, and another five, in addition to one GmAcd gene, were responsive to Meloidogyne javanica infection. Furthermore, one predicted GmHsp20 was shown to be responsive only to nematode infection; no expression change was detected under other stress conditions. Some of the biotic stress-responsive GmHsp20 genes exhibited a divergent expression pattern between resistant and susceptible soybean genotypes under M. ... Mostrar Tudo |
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Thesagro: |
Soja. |
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Thesaurus NAL: |
Soybeans. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/102608/1/genome-wide.pdf
|
|
Marc: |
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001 1965345
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022 $a1471-2164
024 7 $a10.1186/1471-2164-14-577$2DOI
100 1 $aLOPES-CAITAR, V. S.
245 $aGenome-wide analysis of the Hsp20 gene family in soybean$bcomprehensive sequence, genomic organization and expression profile analysis under abiotic and biotic stresses.$h[electronic resource]
260 $c2013
300 $a17 p.
520 $aThe Hsp20 genes are associated with stress caused by HS and other abiotic factors, but have recently been found to be associated with the response to biotic stresses. These genes represent the most abundant class among the HSPs in plants, but little is known about this gene family in soybean. Because of their apparent multifunctionality, these proteins are promising targets for developing crop varieties that are better adapted to biotic and abiotic stresses. Thus, in the present study an in silico identification of GmHsp20 gene family members was performed, and the genes were characterized and subjected to in vivo expression analysis under biotic and abiotic stresses. A search of the available soybean genome databases revealed 51 gene models as potential GmHsp20 candidates. The 51 GmHsp20 genes were distributed across a total of 15 subfamilies where a specific predicted secondary structure was identified. Based on in vivo analysis, only 47 soybean Hsp20 genes were responsive to heat shock stress. Among the GmHsp20 genes that were potentials HSR, five were also cold-induced, and another five, in addition to one GmAcd gene, were responsive to Meloidogyne javanica infection. Furthermore, one predicted GmHsp20 was shown to be responsive only to nematode infection; no expression change was detected under other stress conditions. Some of the biotic stress-responsive GmHsp20 genes exhibited a divergent expression pattern between resistant and susceptible soybean genotypes under M. javanica infection. The putative regulatory elements presenting some conservation level in the GmHsp20 promoters included HSE, W-box, CAAT box, and TA-rich elements. Some of these putative elements showed a unique occurrence pattern among genes responsive to nematode infection. The evolution of Hsp20 family in soybean genome has most likely involved a total of 23 gene duplications. The obtained expression profiles revealed that the majority of the 51 GmHsp20 candidates are induced under HT, but other members of this family could also be involved in normal cellular functions, unrelated to HT. Some of the GmHsp20 genes might be specialized to respond to nematode stress, and the predicted promoter structure of these genes seems to have a particular conserved pattern related to their biological function.
650 $aSoybeans
650 $aSoja
700 1 $aCARVALHO, M. C. C. G. de
700 1 $aLUANA M. DARBEN
700 1 $aKUWAHARA, M. K.
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700 1 $aDIAS, W. P.
700 1 $aABDELNOOR, R. V.
700 1 $aMARCELINO-GUIMARÃES, F. C.
773 $tBMC Genomics$gv. 14, article 577, 2013.
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