Complete genome sequence of Pantoea stewartii RON18713 from Brazil nut tree Phyllosphere Reveals genes involved in plant growth promotion.

Na publicação: Marília C. R. Pappas; Georgios Joannis Pappas, Jr.

Identificação e quantificação da expressão de genes diferencialmente expressos sob condição de déficit hídrico em feijoeiro comum (Phaseolus vulgaris).

Com o intuito de avançar no conhecimento dos mecanismos genéticos envolvidos na tolerância à seca, esse estudo teve como objetivos a identificação de genes diferencialmente expressos em feijoeiro comum sob condições de déficit hídrico, validação via RT-PCT de alguns desses genes-candidatos potencialmente envolvidos na resposta ao estresse, bem como contribuir para o incremento do banco de sequências expressas (EST?s) enriquecidas para genes diferencialmente expressos nos genótipos BAT 477 (tolerante) e Pérola (suscetível) quando submetidos às condições de presença e ausência do déficit hídrico.CONAFE

Análise da diversidade genética e estruturação populacional entre marcadores SSRs e SNPs em germoplasma de feijoeiro comum (Phaseolus vulgaris L.).

O objetivo desse estudo foi avaliar o poder de informação genética dos marcadores SSRs e SNPs para aplicações no melhoramento genético do feijoeiro comum

Avaliação da diversidade genética do banco de germoplasma de pinhão-manso por marcadores moleculares.

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Equivalence of switching linear systems by bisimulation

A general notion of hybrid bisimulation is proposed for the class of switching linear systems. Connections between the notions of bisimulation-based equivalence, state-space equivalence, algebraic and input–output equivalence are investigated. An algebraic characterization of hybrid bisimulation and an algorithmic procedure converging in a finite number of steps to the maximal hybrid bisimulation are derived. Hybrid state space reduction is performed by hybrid bisimulation between the hybrid system and itself. By specializing the results obtained on bisimulation, also characterizations of simulation and abstraction are derived. Connections between observability, bisimulation-based reduction and simulation-based abstraction are studied.\ud \u

Transcriptome analysis in cotton Boll Weevil (Anthonomus grandis) and RNA interference in insect pests.

Cotton plants are subjected to the attack of several insect pests. In Brazil, the cotton boll weevil, Anthonomus grandis, is the most important cotton pest. The use of insecticidal proteins and gene silencing by interference RNA (RNAi) as techniques for insect control are promising strategies, which has been applied in the last few years. For this insect, there are not much available molecular information on databases. Using 454-pyrosequencing methodology, the transcriptome of all developmental stages of the insect pest, A. grandis, was analyzed. The A. grandis transcriptome analysis resulted in more than 500.000 reads and a data set of high quality 20,841 contigs. After sequence assembly and annotation, around 10,600 contigs had at least one BLAST hit against NCBI non-redundant protein database and 65.7% was similar to Tribolium castaneum sequences. A comparison of A. grandis, Drosophila melanogaster and Bombyx mori protein families’ data showed higher similarity to dipteran than to lepidopteran sequences. Several contigs of genes encoding proteins involved in RNAi mechanism were found. PAZ Domains sequences extracted from the transcriptome showed high similarity and conservation for the most important functional and structural motifs when compared to PAZ Domains from 5 species. Two SID-like contigs were phylogenetically analyzed and grouped with T. castaneum SID-like proteins. No RdRP gene was found. A contig matching chitin synthase 1 was mined from the transcriptome. dsRNA microinjection of a chitin synthase gene to A. grandis female adults resulted in normal oviposition of unviable eggs and malformed alive larvae that were unable to develop in artificial diet. This is the first study that characterizes the transcriptome of the coleopteran, A. grandis. A new and representative transcriptome database for this insect pest is now available. All data support the state of the art of RNAi mechanism in insects

Sugarcane giant borer transcriptome analysis and identification of genes related to digestion.

Sugarcane is a widely cultivated plant that serves primarily as a source of sugar and ethanol. Its annual yield can be significantly reduced by the action of several insect pests including the sugarcane giant borer (Telchin licus licus), a lepidopteran that presents a long life cycle and which efforts to control it using pesticides have been inefficient. Although its economical relevance, only a few DNA sequences are available for this species in the Gen-Bank. Pyrosequencing technology was used to investigate the transcriptome of several developmental stages of the insect. To maximize transcript diversity, a pool of total RNA was extracted from whole body insects and used to construct a normalized cDNA database. Sequencing produced over 650,000 reads, which were de novo assembled to generate a reference library of 23,824 contigs. After quality score and annotation, 43% of the contigs had at least one BLAST hit against the NCBI non-redundant database, and 40% showed similarities with the lepidopteran Bombyx mori. In a further analysis, we conducted a comparison with Manduca sexta midgut sequences to identify transcripts of genes involved in digestion. Of these transcripts, many presented an expansion or depletion in gene number, compared to B. mori genome. From the sugarcane giant borer (SGB) transcriptome, a of aminopeptidase N (APN) cDNAs were characterized based on homology to those reported as Cry toxin receptors. This is the first report that provides a large-scale EST database for the species. Transcriptome analysis will certainly be useful to identify novel developmental genes, to better understand the insect?s biology and to guide the development of new strategies for insect-pest control