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URI permanente para esta coleçãohttps://locus.ufv.br/handle/123456789/11847
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Item Mapeamento de QTL para conteúdos de proteína e óleo em soja(Pesquisa Agropecuária Brasileira, 2010-05) Rodrigues, Josiane Isabela da Silva; Miranda, Fábio Demolinari de; Ferreira, Adésio; Borges, Leandro Luiz; Ferreira, Marcia Flores da Silva; Good-God, Pedro Ivo Vieira; Piovesan, Newton Deniz; Barros, Everaldo Gonçalves de; Cruz, Cosme Damião; Moreira, Maurilio AlvesO objetivo deste trabalho foi detectar e mapear locos de caracteres quantitativos (QTL) que afetam os conteúdos de proteína e óleo em soja (Glycine max L. Merr.). Plantas F2, derivadas do cruzamento entre a linhagem CS3032PTA276 e a variedade UFVS2012, foram cultivadas em casa de vegetação e forneceram as folhas para extração e análise de DNA. Quarenta e oito marcadores microssatélites (SSR) polimórficos foram avaliados na população F2. A avaliação dos fenótipos foi realizada em 207 famílias das progênies F2:3, em um delineamento em blocos ao acaso, com três repetições, conduzido em Viçosa, MG, em 2006. Foram detectados quatro QTL associados ao conteúdo de proteína, nos grupos de ligação D1a, G, A1, e I, e três QTL associados ao conteúdo de óleo, nos grupos A1, I e O. A variação fenotípica explicada pelos QTL variou de 6,24 a 18,94% e 17,26 a 25,93%, respectivamente, para os conteúdos de proteína e óleo. Foram detectados novos QTL associados aos conteúdos de proteína e óleo, além dos previamente relatados em outros estudos. Regiões distintas das atualmente conhecidas podem estar envolvidas no controle genético do teor de proteína e óleo na soja.Item Biometric analysis of protein and oil contents of soybean genotypes in different environments(Pesquisa Agropecuária Brasileira, 2014-06) Rodrigues, Josiane Isabela da Silva; Arruda, Klever Márcio Antunes; Cruz, Cosme Damião; Piovesan, Newton Deniz; Barros, Everaldo Gonçalves de; Moreira, Maurilio AlvesThe objective of this work was to identify by biometric analyses the most stable soybean parents, with higher oil or protein contents, cultivated at different seasons and locations of the state of Minas Gerais, Brazil. Forty-nine genotypes were evaluated in the municipalities of Viçosa, Visconde do Rio Branco, and São Gotardo, in the state of Minas Gerais, from 2009 to 2011. Protein and oil contents were analyzed by infrared spectrometry using a FT-NIR analyzer. The effects of genotype, environment, and genotype x environment interaction were significant. The BARC-8 soybean genotype is the best parent to increase protein contents in the progenies, followed by BR 8014887 and CS 3032PTA276-3-4. Selection for high oil content is more efficient when the crossings involve the Suprema, CD 01RR8384, and A7002 genotypes, which show high mean phenotypic values, wide adaptability, and greater stability to environmental variation.Item Low linolenic soybeans for biodiesel: Characteristics, performance and advantages(Fuel, 2012-06-16) Santos, Eleonice Moreira; Piovesan, Newton Deniz; Barros, Everaldo Gonçalves de; Moreira, Maurilio AlvesSoybean is one of the main raw materials used for biodiesel production. However, the polyunsaturated fatty acids present in soybean seeds are not desirable for this purpose due to their low oxidative stability. Therefore, it is expected that the use of soybean cultivars with low linolenic acid content for biodiesel production will improve its oxidative stability and the cold filter plugging point (CFPP). This work presents the main characteristics, the advantages and performance of low linolenic acid soybean (LL) as compared to a conventional soybean variety (CO) for biodiesel production. The results showed that LL oil and protein contents were similar to those of CO. Phosphatide concentration was higher in LL oil, while total tocopherol content was lower in relation to CO. With respect to LL biodiesel performance, oxidative stability was much higher than that produced from CO, and the CFPP did not change even with the improved fatty acid profile of LL.Item Differentially expressed proteins during an incompatible interaction between common bean and the fungus Pseudocercospora griseola(Molecular Breeding, 2013-07-30) Borges, Leandro Luiz; Santana, Fernanda Abreu; Castro, Isabel Samila Lima; Arruda, Klever Márcio Antunes; Ramos, Humberto Josué de Oliveira; Moreira, Maurilio Alves; Barros, Everaldo Gonçalves deThe common bean (Phaseolus vulgaris L.) is the main source of protein and an important source of minerals in several countries around the world. Angular leaf spot, caused by the fungus Pseudocercospora griseola, is one of the major diseases of the common bean. In this work, we used two-dimensional gel electrophoresis and mass spectrometry to analyze alterations in the proteome of common bean leaves challenged with an incompatible race of P. griseola. Twenty-three differentially expressed proteins were detected in leaves of cultivar AND 277 collected at 12, 24 and 48 h after inoculation. The proteins were digested with trypsin and submitted to MALDI-TOF/TOF and MicrOTOF-Q electrospray mass spectrometry. Nineteen of them were identified upon MS/MS fragmentation. Most of these proteins are involved with amino acid metabolism, terpenoid metabolism, phenylpropanoid biosynthesis, antioxidant systems, vitamin and cofactor metabolism, plant–pathogen interaction, carbohydrate metabolism, photosynthesis, or genetic information processing, showing that the interaction in this pathosystem affects different genes from various metabolic pathways and processes.Item Enzimas marcadoras de indução de resistência diferencialmente reguladas em soja resistente e suscetível à ferrugem-asiática-da-soja(Pesquisa Agropecuária Brasileira, 2012-01-09) Almeida, Hebréia Oliveira; Barbosa, Meire de Oliveira; Marques, Ana Ermelinda; Pereira, Tânus Henrique Abdalla; Magalhães Júnior, Marcos Jorge; Tessarollo, Nayara Gusmão; Games, Patrícia Dias; Barros, Everaldo Gonçalves de; Stolf-Moreira, Renata; Marcelino-Guimarães, Francismar Corrêa; Abdelnoor, Ricardo Vilela; Pereira, Paulo Roberto Gomes; Baracat-Pereira, Maria CristinaO objetivo deste trabalho foi avaliar, por meio de enzimas marcadoras, a indução de resistência à ferrugem-asiática-da-soja em genótipos de soja contrastantes quanto à suscetibilidade a Phakopsora pachyrhizi. Aproteína total e as atividades de cinco enzimas marcadoras da indução de resistência (lipoxigenases, peroxidases, fenilalanina amônia-liase, quitinases e β-1, 3-glucanases) foram avaliadas em extratos de folhas de plantas de soja dos genótipos Embrapa 48 (suscetível) e PI 561356 (resistente), submetidas à inoculação ou não com o patógeno. Foram observadas respostas de defesa discrepantes entre os dois genótipos e entre os tempos de coleta (12, 72 e 168 horas após inoculação). A resposta de indução dessas enzimas assemelha-se à defesa bifásica, para Embrapa 48, e é consistente com o observado para outros patossistemas. No entanto, o genótipo PI 561356 respondeu com diminuição da concentração de proteína total e das atividades enzimáticas, o que indica redução do metabolismo geral das plantas infectadas. Há um importante mecanismo de resistência do genótipo PI 561356, ainda não relatado, embasado em vias que envolvem essas enzimas marcadoras e em mecanismos que utilizam menor concentração de proteínas, como os de via metabólica de resposta em cascata.Item Separomics applied to the proteomics and peptidomics of low-abundance proteins: choice of methods and challenges - a review(Genetics and Molecular Biology, 2011-01-24) Baracat-Pereira, Maria Cristina; Barbosa, Meire de Oliveira; Magalhães Júnior, Marcos Jorge; Carrijo, Lanna Clicia; Games, Patrícia Dias; Almeida, Hebréia Oliveira; Sena Netto, José Fabiano; Pereira, Matheus Rodrigues; Barros, Everaldo Gonçalves deThe enrichment and isolation of proteins are considered limiting steps in proteomic studies. Identification of proteins whose expression is transient, those that are of low-abundance, and of natural peptides not described in databases, is still a great challenge. Plant extracts are in general complex, and contaminants interfere with the identification of proteins involved in important physiological processes, such as plant defense against pathogens. This review discusses the challenges and strategies of separomics applied to the identification of low-abundance proteins and peptides in plants, especially in plants challenged by pathogens. Separomics is described as a group of methodological strategies for the separation of protein molecules for proteomics. Several tools have been used to remove highly abundant proteins from samples and also non-protein contaminants. The use of chromatographic techniques, the partition of the proteome into subproteomes, and an effort to isolate proteins in their native form have allowed the isolation and identification of rare proteins involved in different processes.