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1.
Appl Environ Microbiol ; 82(3): 897-909, 2016 02 01.
Artigo em Inglês | MEDLINE | ID: mdl-26590287

RESUMO

Metagenomics allows the study of genes related to xenobiotic degradation in a culture-independent manner, but many of these studies are limited by the lack of genomic context for metagenomic sequences. This study combined a phenotypic screen known as substrate-induced gene expression (SIGEX) with whole-metagenome shotgun sequencing. SIGEX is a high-throughput promoter-trap method that relies on transcriptional activation of a green fluorescent protein (GFP) reporter gene in response to an inducing compound and subsequent fluorescence-activated cell sorting to isolate individual inducible clones from a metagenomic DNA library. We describe a SIGEX procedure with improved library construction from fragmented metagenomic DNA and improved flow cytometry sorting procedures. We used SIGEX to interrogate an aromatic hydrocarbon (AH)-contaminated soil metagenome. The recovered clones contained sequences with various degrees of similarity to genes (or partial genes) involved in aromatic metabolism, for example, nahG (salicylate oxygenase) family genes and their respective upstream nahR regulators. To obtain a broader context for the recovered fragments, clones were mapped to contigs derived from de novo assembly of shotgun-sequenced metagenomic DNA which, in most cases, contained complete operons involved in aromatic metabolism, providing greater insight into the origin of the metagenomic fragments. A comparable set of contigs was generated using a significantly less computationally intensive procedure in which assembly of shotgun-sequenced metagenomic DNA was directed by the SIGEX-recovered sequences. This methodology may have broad applicability in identifying biologically relevant subsets of metagenomes (including both novel and known sequences) that can be targeted computationally by in silico assembly and prediction tools.


Assuntos
Bactérias/genética , Expressão Gênica , Hidrocarbonetos Aromáticos/metabolismo , Metagenoma , Metagenômica/métodos , Microbiologia do Solo , Poluentes do Solo/metabolismo , Bactérias/crescimento & desenvolvimento , Bactérias/metabolismo , Proteínas de Bactérias/genética , Clonagem Molecular , Simulação por Computador , Citometria de Fluxo , Biblioteca Gênica , Genes Bacterianos , Genes Reporter , Proteínas de Fluorescência Verde/genética , Hidrocarbonetos Aromáticos/análise , Óperon , Fenótipo , Análise de Sequência de DNA , Poluentes do Solo/análise , Fatores de Transcrição/genética
2.
J Microbiol Methods ; 65(3): 476-87, 2006 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-16216354

RESUMO

In this study, we explored whether SYBR Green-based quantitative real-time PCR (qPCR) could be used to determine the copy number of a plasmid and whether the method was broadly applicable to chromosomally encoded genetic elements often occurring in multiple copies, such as rRNA genes and insertion sequences (IS). Three different template sources (whole cells, total DNA, and restriction-enzyme digested total DNA) derived from the bacterium Comamonas sp. strain JS46 were analyzed by qPCR using primer-pairs targeting plasmid pJS46 and three chromosomally encoded sequences (16S rDNA, ISCsp1, and IS1071). The difference between threshold cycle values, C(T), of amplicons targeting these elements and of an amplicon targeting the single-copy reference element mnbA (chromosomally encoded) was used to establish DeltaC(T). DeltaC(T) values were then used to derive copy number. For pJS46, qPCR analyses of whole cells and total DNA underestimated the copy number of pJS46 approximately 7-fold and approximately 2.5-fold, respectively, whereas copy number values derived from qPCR analyses of digested total DNA were comparable to those derived from Southern blot (SB) analyses. In contrast, for the chromosomally encoded elements, qPCR analyses of all three template sources gave copy number values that were virtually identical to or differed by approximately 2 from copy number values derived by SB analysis. These data indicate that qPCR can be used to estimate the copy number of various genetic elements but that the accuracy of qPCR-derived values is affected by the template source.


Assuntos
Elementos de DNA Transponíveis/genética , Dosagem de Genes , Genes de RNAr/genética , Compostos Orgânicos/metabolismo , Plasmídeos/genética , Reação em Cadeia da Polimerase/métodos , Benzotiazóis , Comamonas/genética , Comamonas/crescimento & desenvolvimento , Diaminas , Dados de Sequência Molecular , Quinolinas , Padrões de Referência , Análise de Sequência de DNA
3.
J Bacteriol ; 184(1): 51-8, 2002 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-11741843

RESUMO

In Escherichia coli, the response to oxidative stress due to elevated levels of superoxide is mediated, in part, by the soxRS regulon. One member of the soxRS regulon, nfsA, encodes the major oxygen-insensitive nitroreductase in Escherichia coli which catalyzes the reduction of nitroaromatic and nitroheterocyclic compounds by NADPH. In this study we investigate the regulation of nfsA in response to the superoxide generating compound paraquat. The transcription start site (TSS) of nfsA was located upstream of the ybjC gene, a small open reading frame of unknown function located directly upstream of nfsA, suggesting that these two genes form an operon. The activity of the promoter associated with this TSS was confirmed with lacZ fusions and was shown to be inducible by paraquat. Footprinting and band shift analysis showed that purified His-tagged SoxS protein binds to a 20-base sequence 10 bases upstream of the -35 promoter sequence in the forward orientation, suggesting that the ybjC-nfsA promoter is a class I SoxS-dependent promoter.


Assuntos
Proteínas de Bactérias/genética , Resistencia a Medicamentos Antineoplásicos , Proteínas de Escherichia coli , Escherichia coli/genética , Nitrorredutases/genética , Transativadores , Fatores de Transcrição/genética , Proteínas de Bactérias/metabolismo , Sequência de Bases , Pegada de DNA , Proteínas de Ligação a DNA/metabolismo , Desoxirribonuclease I/metabolismo , Regulação Bacteriana da Expressão Gênica , Dados de Sequência Molecular , Óperon/genética , Estresse Oxidativo/genética , Paraquat/farmacologia , Ligação Proteica , Sequências Reguladoras de Ácido Nucleico , Fatores de Transcrição/metabolismo , Transcrição Gênica
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