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| 11. | | ALVARES-DA-SILVA, O.; COELHO, A. S. G.; FERREIRA, H. D.; BRANDAO, D.; VALVA, F. D. Padrao de distribuicao espacial das populacoes de um cerrado sensu stricto do Parque Nacional das Emas, GO. In: CONGRESSO DE ECOLOGIA DO BRASIL, 3., 1996, Brasilia. Manejo de ecossistemas e mudancas globais: resumos. Brasilia: UnB, 1996. p.219.| Biblioteca(s): Embrapa Cerrados. |
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| 12. | | BLANCO, A. J. V.; PEREIRA, M. F.; COELHO, A. S. G.; CHAVES, L. J.; CIAMPI, A. Y.; MIRANDA, D. D. Magnitude e distribuição da diversidade genética em populações naturais de araticunzeiro (Annona crassiflora Mart.). In: CONGRESSO BRASILEIRO DE GENÉTICA, 52., 2006, Foz do Iguaçu, PR. Resumos... Ribeirão Preto, SP: Sociedade Brasileira de Genética, 2006. p. 1043.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 13. | | MORAIS JÚNIOR, O. P.; BRESEGHELLO, F.; DUARTE, J. B.; MORAIS, O. P.; RANGEL, P. H. N.; COELHO, A. S. G. Effectiveness of recurrent selection in irrigated rice breeding. Crop Science, v. 57, n. 6, p. 3043-3058, Nov./Dec. 2017.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 18. | | RIZZO, J. A.; FONSECA, A. S.; VALVA, F. A.; COELHO, A. S. G.; SILVA, M. J.; VIANA, M. V. L. Ecogenetica de Hancornia speciosa Gomez .I. Padrao de distribuicao especial de Hancornia speciosa var. gardeneri e var. pubescens. In: CONGRESSO NACIONAL DE BOTANICA, 47., 1996, Nova Friburgo. Resumos. Nova Friburgo: Sociedade Botanica do Brasil, 1996. p.360.| Biblioteca(s): Embrapa Cerrados. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
31/05/2016 |
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Data da última atualização: |
11/10/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
GONÇALVES, F. J.; FILIPPI, M. C. C. de; LOBO, V. L. S.; ARAÚJO, L. G.; SILVA, G. B.; COELHO, A. S. G.; PRABHU, A. S. |
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Afiliação: |
FABIO JOSE GONÇALVES; MARTA CRISTINA CORSI DE FILIPPI, CNPAF; VALACIA LEMES DA SILVA LOBO, CNPAF; LEILA GARCÊS ARAÚJO, UFG; GISELE BARATA SILVA, UFRA; ALEXANDRE SIQUEIRA GUEDES COELHO, UFV; ANNE SITARAMA PRABHU, CNPAF. |
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Título: |
Polymorphism detection by microsatellite markers in a Magnaporthe oryzae population from different geographical areas of Brazil. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Journal of Phytopathology, v. 164, n. 9, p. 620-630, Sept. 2016. |
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ISSN: |
0931-1785 |
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DOI: |
10.1111/jph.12485 |
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Idioma: |
Inglês |
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Conteúdo: |
This study aimed to examine Brazilian M. oryzae populations using 18 microsatellites. Fifty cultivars were sown in plastic trays for the pathotyping of 847 isolates. The DNA of 494 isolates was extracted and purified using the modified Doyle and Doyle method, the genetic structure was determined by the software Structure, and the actual number was selected from the prediction method based on the K values. Nei's genetic distance among the subpopulations was determined with the aid of the program Genetix, and the amova was performed with the program Arlequin. Out of 847 inoculated monosporic isolates, 528 infected their respective cultivars; of the 528 isolates pathotyped, there was a prevalence of group IA and pathotype IF-1, which was the most frequent pathotype in the rice production areas of Brazil. The Bayesian clustering analysis indicated that 19 was the optimal value of K; this value was the lowest standard deviation and log (ln K) closest to zero, which predicted the 494 isolates of M. oryzae that were selected for molecular studies to be grouped into 19 subpopulations. The AMOVA detected a 37.13% variability within the 19 subpopulations and 62.87% variability among the subpopulations. The polymorphic information content (PIC) ranged from 0 to 0.756. Thirty three rare alleles were found distributed among 15 out of 19 subpopulations. The Margalef index ranged from 38.69 to 79.21 for all 18 analysed locus. The results indicated that the identification of different blast resistance genes must consider the composition of each subpopulation and that the identification is most effective when performed within a subpopulation and then between subpopulations. MenosThis study aimed to examine Brazilian M. oryzae populations using 18 microsatellites. Fifty cultivars were sown in plastic trays for the pathotyping of 847 isolates. The DNA of 494 isolates was extracted and purified using the modified Doyle and Doyle method, the genetic structure was determined by the software Structure, and the actual number was selected from the prediction method based on the K values. Nei's genetic distance among the subpopulations was determined with the aid of the program Genetix, and the amova was performed with the program Arlequin. Out of 847 inoculated monosporic isolates, 528 infected their respective cultivars; of the 528 isolates pathotyped, there was a prevalence of group IA and pathotype IF-1, which was the most frequent pathotype in the rice production areas of Brazil. The Bayesian clustering analysis indicated that 19 was the optimal value of K; this value was the lowest standard deviation and log (ln K) closest to zero, which predicted the 494 isolates of M. oryzae that were selected for molecular studies to be grouped into 19 subpopulations. The AMOVA detected a 37.13% variability within the 19 subpopulations and 62.87% variability among the subpopulations. The polymorphic information content (PIC) ranged from 0 to 0.756. Thirty three rare alleles were found distributed among 15 out of 19 subpopulations. The Margalef index ranged from 38.69 to 79.21 for all 18 analysed locus. The results indicated that the identification of different blast... Mostrar Tudo |
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Thesagro: |
Arroz; Brusone; Marcador molecular; Oryza sativa. |
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Thesaurus NAL: |
Blast disease; Magnaporthe oryzae; Microsatellite repeats; Rice. |
|
Categoria do assunto: |
H Saúde e Patologia |
|
Marc: |
LEADER 02619naa a2200313 a 4500
001 2045924
005 2016-10-11
008 2016 bl uuuu u00u1 u #d
022 $a0931-1785
024 7 $a10.1111/jph.12485$2DOI
100 1 $aGONÇALVES, F. J.
245 $aPolymorphism detection by microsatellite markers in a Magnaporthe oryzae population from different geographical areas of Brazil.$h[electronic resource]
260 $c2016
520 $aThis study aimed to examine Brazilian M. oryzae populations using 18 microsatellites. Fifty cultivars were sown in plastic trays for the pathotyping of 847 isolates. The DNA of 494 isolates was extracted and purified using the modified Doyle and Doyle method, the genetic structure was determined by the software Structure, and the actual number was selected from the prediction method based on the K values. Nei's genetic distance among the subpopulations was determined with the aid of the program Genetix, and the amova was performed with the program Arlequin. Out of 847 inoculated monosporic isolates, 528 infected their respective cultivars; of the 528 isolates pathotyped, there was a prevalence of group IA and pathotype IF-1, which was the most frequent pathotype in the rice production areas of Brazil. The Bayesian clustering analysis indicated that 19 was the optimal value of K; this value was the lowest standard deviation and log (ln K) closest to zero, which predicted the 494 isolates of M. oryzae that were selected for molecular studies to be grouped into 19 subpopulations. The AMOVA detected a 37.13% variability within the 19 subpopulations and 62.87% variability among the subpopulations. The polymorphic information content (PIC) ranged from 0 to 0.756. Thirty three rare alleles were found distributed among 15 out of 19 subpopulations. The Margalef index ranged from 38.69 to 79.21 for all 18 analysed locus. The results indicated that the identification of different blast resistance genes must consider the composition of each subpopulation and that the identification is most effective when performed within a subpopulation and then between subpopulations.
650 $aBlast disease
650 $aMagnaporthe oryzae
650 $aMicrosatellite repeats
650 $aRice
650 $aArroz
650 $aBrusone
650 $aMarcador molecular
650 $aOryza sativa
700 1 $aFILIPPI, M. C. C. de
700 1 $aLOBO, V. L. S.
700 1 $aARAÚJO, L. G.
700 1 $aSILVA, G. B.
700 1 $aCOELHO, A. S. G.
700 1 $aPRABHU, A. S.
773 $tJournal of Phytopathology$gv. 164, n. 9, p. 620-630, Sept. 2016.
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