183 resultados para Caracterização e avaliação molecular da
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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A bactéria B. thuringiensis caracteriza-se pela produção de proteínas tóxicas a representantes de diversas ordens de insetos, as quais são codificadas por genes cry. Este trabalho foi realizado com objetivo de selecionar isolados de B. thuringiensis, por meio da caracterização morfológica e molecular, identificando as diferentes subclasses dos genes cry3 e cry35 e determinar a patogenicidade contra Sphenophorus levis, uma das mais importantes pragas da cultura da cana-de-açúcar. Foram utilizados 1163 isolados de B. thuringiensis e com a observação em microscópio com contraste de fases foram confirmadas como pertencentes à espécie de B. thuringiensis. O material genético foi purificado pela matriz de troca iônica Instagene Matrix e submetido a PCR com iniciadores gerais cry3 e cry35 identificando-se 30 isolados contendo genes com potencial para o controle de coleópteros, os quais juntamente com as linhagens-padrão de B. thuringiensis var. tenebrionis, B. thuringiensis var. morrissone e B. thuringiensis var. tolworthi foram utilizados para a realização do bioensaio. Através de análise discriminante alocaram-se os isolados em quatro grupos quanto à toxicidade de B. thuringiensis. Os grupos ficaram assim definidos: um grupo que promovem até 10% de mortalidade contendo as testemunhas e duas linhagens;um grupo que causou 39% de mortalidade contendo três linhagens padrão e dez isolados; um grupo com 52% de mortalidade contendo treze isolados e um grupo com 70% de mortalidade contendo cinco isolados, os quais devem ser considerados promissores no controle biológico de S. levis.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Engenharia Mecânica - FEIS
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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This piece of research aims at analyzing the absolute and relative co-citation indicators, especially Salton’s Cosine and comparing the contribution of these indicators to the understanding of a domain, applying them to the universe of "Metric Studies" at the BRAPCI base. It also aims at presenting the co-citation network generated from the absolute frequencies and highlighting the groupings of co-cited authors, depending on the relative values, integrating and explaining the information from the two indexes. The domain analysis, by means of its 11 approaches, including “Bibliometric Studies”, focuses on the science characterization and evaluation, in that it allows us to identify and to analyze the conditions under which the scientific knowledge is constructed and socialized. In these studies, the contribution of citation and co-citation analysis is highlighted. Of the total of 147 articles retrieved at BRAPCI base, the authors cited in at least 11 articles, in a total of 38 researchers, were selected. The 38 x 38 symmetric matrix with the absolute frequencies of co-citation and the matrix with the relative values of Salton’s Cosine were generated. The co-citation network with absolute frequency values were constructed, through Ucinet software. Cluster analysis of data with relative values wer performed, using the SPSS software. Significant differences between the absolute and relative indexes, with some high absolute values of co-citation were observed; when considered in relation to the presence of each author, their significance is decreased. As to the generated network, seven groups were determined, in which only one is established for close themes and comes from co-citations in the original sense of the term. Five groups present closeness in absolute and relative indicators. It can be concluded about the importance of the studies of authors' co-citation analysis, which associate the two indexes, absolute and relative, in order to visualize and understand the underlying structures of a scientific domain.
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Molecular markers have recently been incorporated into genetic improvement programs. They are already considered as powerful tools with several different uses, for instance the monitoring of genetic variability in tree populations. The main objectives of this study were to evaluate genetic variability in Eucalyptus urophylla progenies and together with silvicultural and botanical information, provide assistance to the improvement program. The Eucalypts population is located at the Experimental Forestry Sciences Station, Anhembi, SP, which belongs to the College of Agriculture Luiz de Queiroz. Sixty-nine progenies were analysed representing one individual by family in open pollinated Eucalyptus urophylla trees. The RAPD technique allowed the identification of 72 loci that were analysed using Jaccard's Coefficient generating a genetic similarity matrix to permit estimation of genetic distances. The results obtained showed genetic distance between individuals of 0.40 with 12 groups of genetic variability using a standardised distance of 40%. The progenies showed different bark patterns, allowing the establishment of bark groups. The groups formed based on genetic distances obtained using DNA analysis did not correspond to those based on bark pattern. Genetic selection was simulated in which silvicultural and genetic variability data were linked, thus avoiding excessive variability losses. The simulation of controlled crossings allowed the maximum genetic difference to be obtained linked with height and individual bark roughness.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Ciências Biológicas (Biologia Celular e Molecular) - IBRC
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)