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A web-based bioinformatics interface applied to the GENOSOJA project: databases and pipelines Genet. Mol. Biol.
Nascimento,Leandro Costa do; Costa,Gustavo Gilson Lacerda; Binneck,Eliseu; Pereira,Gonçalo Amarante Guimarães; Carazzolle,Marcelo Falsarella.
The Genosoja consortium is an initiative to integrate different omics research approaches carried out in Brazil. Basically, the aim of the project is to improve the plant by identifying genes involved in responses against stresses that affect domestic production, like drought stress and Asian Rust fungal disease. To do so, the project generated several types of sequence data using different methodologies, most of them sequenced by next generation sequencers. The initial stage of the project is highly dependent on bioinformatics analysis, providing suitable tools and integrated databases. In this work, we describe the main features of the Genosoja web database, including the pipelines to analyze some kinds of data (ESTs, SuperSAGE, microRNAs, subtractive...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bioinformatics; Database; Gene expression; Soybean; Genosoja.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200002
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Subtractive libraries for prospecting differentially expressed genes in the soybean under water deficit Genet. Mol. Biol.
Rodrigues,Fabiana Aparecida; Marcolino-Gomes,Juliana; Carvalho,Josirlei de Fátima Corrêa; Nascimento,Leandro Costa do; Neumaier,Norman; Farias,José Renato Bouças; Carazzolle,Marcelo Falsarella; Marcelino,Francismar Corrêa; Nepomuceno,Alexandre Lima.
Soybean has a wide range of applications in the industry and, due to its crop potential, its improvement is widely desirable. During drought conditions, soybean crops suffer significant losses in productivity. Therefore, understanding the responses of the soybean under this stress is an effective way of targeting crop improvement techniques. In this study, we employed the Suppressive Subtractive Hybridization (SSH) technique to investigate differentially expressed genes under water deficit conditions. Embrapa 48 and BR 16 soybean lines, known as drought-tolerant and -sensitive, respectively, were grown hydroponically and subjected to different short-term periods of stress by withholding the nutrient solution. Using this approach, we have identified genes...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Gene expression; Drought; Transcriptome.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200011
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Identification of SNPs in RNA-seq data of two cultivars of Glycine max (soybean) differing in drought resistance Genet. Mol. Biol.
Vidal,Ramon Oliveira; Nascimento,Leandro Costa do; Maurício Costa Mondego,Jorge; Amarante Guimarães Pereira,Gonçalo; Falsarella Carazzolle,Marcelo.
The legume Glycine max (soybean) plays an important economic role in the international commodities market, with a world production of almost 260 million tons for the 2009/2010 harvest. The increase in drought events in the last decade has caused production losses in recent harvests. This fact compels us to understand the drought tolerance mechanisms in soybean, taking into account its variability among commercial and developing cultivars. In order to identify single nucleotide polymorphisms (SNPs) in genes up-regulated during drought stress, we evaluated suppression subtractive libraries (SSH) from two contrasting cultivars upon water deprivation: sensitive (BR 16) and tolerant (Embrapa 48). A total of 2,222 soybean genes were up-regulated in both...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Single nucleotide polymorphisms; Deep sequencing; Drought resistance.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200014
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