Identification of putative new Escherichia coli flagellar antigens from human origin using serology, PCR-RFlP and DNA sequencing methods

Escherichia coli has been isolated frequently, showing flagellar antigens that are not recognized by any of the 53 antisera, provided by the most important reference center of E. coli, The International Escherichia and Klebsiella Center (WHO) of the Statens Serum Institute, Copenhagen, Denmark. The objective of this study was to characterize flagellar antigens of E. coli that express non-typeable H antigens. The methods used were serology, PCR-RFLP and DNA sequencing. This characterization was performed by gene amplification of the fliC (flagellin protein) by polymerase chain reaction in all 53 standards E.coli strains for the H antigens and 20 E. coli strains for which the H antigen was untypeable. The amplicons were digested by restriction enzymes, and different restriction enzyme profiles were observed. Anti-sera were produced in rabbits, for the non-typeable strains, and agglutination tests were carried out. In conclusion,the results showed that although non-typeable and typable H antigens strains had similar flagellar antigens, the two types of strains were distinct in terms of nucleotide sequence, and did not phenotypically react with the standard antiserum, as expected. Thirteen strains had been characterized as likely putative new H antigen using PCR-RFLP techniques, DNA sequencing and/or serology.14415

Transcriptoma de frutos de Coffea arabica L. ao longo do seu desenvolvimento inicial.

Neste trabalho foi realizado o seqüenciamento de RNA em larga escala de 12 bibliotecas de Coffea arabica cv. IAPAR59: folha, flor, frutos ao longo do seu desenvolvimento e frutos tratados com o indutor de metabolismo secundário metiljasmonato. Foram gerados no total 84.798.835 sequências (Illumina, HiSeq2000), que foram montadas em 127.600 contigs com tamanho médio de 1264bp, dos quais 65480 foram considerados como variantes de splicing únicos (unigenes). Neste trabalho, reportamos a montagem de novo do transcriptoma realizada com as sequências destas bibliotecas e os dados preliminares de anotação funcional e categorização. Trata-se do primeiro trabalho de sequenciamento Illumina com frutos de cafeeiro, que pode trazer importantes informações sobre genes candidatos relacionados a produção de compostos-chave envolvidos na qualidade do café e maturação de frutos

A web-based bioinformatics interface applied to the GENOSOJA Project: databases and pipelines.

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 cDNA libraries), as well as web interfaces to access information about soybean gene annotation and expression

Positive selection evidence in xylose-related genes suggests methylglyoxal reductase as a target for the improvement of yeasts' fermentation in industry

Xylose assimilation and fermentation are important traits for second generation ethanol production. However, some genomic features associated with this pentose sugar's metabolism remain unknown in yeasts. Comparative genomics studies have led to important insights in this field, but we are still far from completely understanding endogenous yeasts' xylose metabolism. In this work, we carried out a deep evolutionary analysis suited for comparative genomics of xylose-consuming yeasts, searching for of positive selection on genes associated with glucose and xylose metabolism in the xylose-fermenters' clade. Our investigation detected positive selection fingerprints at this clade not only among sequences of important genes for xylose metabolism, such as xylose reductase and xylitol dehydrogenase, but also in genes expected to undergo neutral evolution, such as the glycolytic gene phosphoglycerate mutase. In addition, we present expansion, positive selection marks, and convergence as evidence supporting the hypothesis that natural selection is shaping the evolution of the little studied methylglyoxal reductases. We propose a metabolic model suggesting that selected codons among these proteins caused a putative change in cofactor preference from NADPH to NADH that alleviates cellular redox imbalance. These findings provide a wider look into pentose metabolism of yeasts and add this previously overlooked piece into the intricate puzzle of oxidative imbalance. Although being extensively discussed in evolutionary works the awareness of selection patterns is recent in biotechnology researches, rendering insights to surpass the reached status quo in many of its subareas11719231938COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPnão tem2013/08293-7; 2015/05578-6; 2017/07008-8; 2017/08519-

A web-based bioinformatics interface applied to the GENOSOJA project: databases and pipelines

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 cDNA libraries), as well as web interfaces to access information about soybean gene annotation and expression.203211Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq