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	Provedor de dados Genet. Mol. Biol. (2) Autor Alves,Alexandre Alonso (1) Bhering,Leonardo Lopes (1) Bonatto,Sandro L. (1) Cruz,Cosme Damião (1) Formighieri,Eduardo Fernandes (1) Freitas,Loreta B. (1) Laviola,Bruno Galvêas (1) Rosado,Tatiana Barbosa (1) Salzano,Francisco M. (1) Scherer,Nicole M. (1) Thompson,Claudia E. (1) Mais... Palavra-chave Molecular variability (2) Jatropha curcas L. (1) Maximum-likelihood methods (1) PRs (1) Pathogenesis-related proteins (1) Phenotypic variability (1) Positive selection (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2013 (1) 2005 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Joint analysis of phenotypic and molecular diversity provides new insights on the genetic variability of the brazilian physic nut germplasm bank Genet. Mol. Biol. Alves,Alexandre Alonso; Bhering,Leonardo Lopes; Rosado,Tatiana Barbosa; Laviola,Bruno Galvêas; Formighieri,Eduardo Fernandes; Cruz,Cosme Damião. The genetic variability of the Brazilian physic nut (Jatropha curcas) germplasm bank (117 accessions) was assessed using a combination of phenotypic and molecular data. The joint dissimilarity matrix showed moderate correlation with the original matrices of phenotypic and molecular data. However, the correlation between the phenotypic dissimilarity matrix and the genotypic dissimilarity matrix was low. This finding indicated that molecular markers (RAPD and SSR) did not adequately sample the genomic regions that were relevant for phenotypic differentiation of the accessions. The dissimilarity values of the joint dissimilarity matrix were used to measure phenotypic + molecular diversity. This diversity varied from 0 to 1.29 among the 117 accessions, with an... Tipo: Info:eu-repo/semantics/article Palavras-chave: Molecular variability; Jatropha curcas L.; Phenotypic variability. Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000300012 Patterns of molecular evolution in pathogenesis-related proteins Genet. Mol. Biol. Scherer,Nicole M.; Thompson,Claudia E.; Freitas,Loreta B.; Bonatto,Sandro L.; Salzano,Francisco M.. The genes encoding 13 classes of pathogenesis-related (PR) proteins were examined for positive selection using maximum-likelihood (ML) models of codon substitution. The study involved 194 sequences from 54 species belonging to 37 genera. Although the sizes of the sequences examined varied from 237 bp for PR12 to 1,110 bp for PR7, most classes (9 out of 13) contained sequences made up of more than 400 nucleotides. Signs of positive selection were obtained for sites in PR proteins 4, 6, 8, 9 and 15 using an ML-based Bayesian method and likelihood ratio tests. These results confirm the importance of positive selection in proteins related to defense mechanisms already observed in a wide array of organisms. Tipo: Info:eu-repo/semantics/article Palavras-chave: Pathogenesis-related proteins; PRs; Molecular variability; Positive selection; Maximum-likelihood methods. Ano: 2005 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572005000500001 Registros recuperados: 2 Primeira ... 1 ... Última

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