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1.
Microb Cell Fact ; 13: 136, 2014 Oct 04.
Artigo em Inglês | MEDLINE | ID: mdl-25281236

RESUMO

BACKGROUND: The aromatic compound catechol is used as a precursor of chemical products having multiple applications. This compound is currently manufactured by chemical synthesis from petroleum-derived raw materials. The capacity to produce catechol is naturally present in several microbial species. This knowledge has been applied to the generation of recombinant Escherichia coli strains that can produce catechol from simple carbon sources. RESULTS: Several strains derived from E. coli W3110 trpD9923, a mutant that overproduces anthranilate, were modified by transforming them with an expression plasmid carrying genes encoding anthranilate 1,2-dioxygenase from Pseudomonas aeruginosa PAO1. The additional expression of genes encoding a feedback inhibition resistant version of 3-deoxy-D-arabino-heptulosonate 7-phosphate (DAHP) synthase and transketolase from E. coli, was also evaluated. Generated strains were characterized in complex or minimal medium in shake-flask and fed-batch bioreactor cultures and incubation temperatures ranging from 37 to 28°C. These experiments enabled the identification of culture conditions for the production of 4.47 g/L of catechol with strain W3110 trpD9923, expressing 1,2-dioxygenase, DAHP synthase and transketolase. When considering the amount of glucose consumed, a yield of 16% was calculated, corresponding to 42% of the theoretical maximum as determined by elementary node flux analysis. CONCLUSIONS: This work demonstrates the feasibility of applying metabolic engineering for generating E. coli strains for the production of catechol from glucose via anthranilate. These results are a starting point to further optimize environmentally-compatible production capacity for catechol and derived compounds.


Assuntos
Proteínas de Bactérias , Catecóis/metabolismo , Escherichia coli , Expressão Gênica , Glucose/metabolismo , Oxigenases de Função Mista , Pseudomonas aeruginosa/genética , ortoaminobenzoatos/metabolismo , Proteínas de Bactérias/biossíntese , Proteínas de Bactérias/genética , Escherichia coli/genética , Escherichia coli/metabolismo , Oxigenases de Função Mista/biossíntese , Oxigenases de Função Mista/genética , Pseudomonas aeruginosa/enzimologia
2.
Nucleic Acids Res ; 36(Database issue): D120-4, 2008 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-18158297

RESUMO

RegulonDB (http://regulondb.ccg.unam.mx/) is the primary reference database offering curated knowledge of the transcriptional regulatory network of Escherichia coli K12, currently the best-known electronically encoded database of the genetic regulatory network of any free-living organism. This paper summarizes the improvements, new biology and new features available in version 6.0. Curation of original literature is, from now on, up to date for every new release. All the objects are supported by their corresponding evidences, now classified as strong or weak. Transcription factors are classified by origin of their effectors and by gene ontology class. We have now computational predictions for sigma(54) and five different promoter types of the sigma(70) family, as well as their corresponding -10 and -35 boxes. In addition to those curated from the literature, we added about 300 experimentally mapped promoters coming from our own high-throughput mapping efforts. RegulonDB v.6.0 now expands beyond transcription initiation, including RNA regulatory elements, specifically riboswitches, attenuators and small RNAs, with their known associated targets. The data can be accessed through overviews of correlations about gene regulation. RegulonDB associated original literature, together with more than 4000 curation notes, can now be searched with the Textpresso text mining engine.


Assuntos
Bases de Dados Genéticas , Escherichia coli K12/genética , Regulação Bacteriana da Expressão Gênica , Redes Reguladoras de Genes , Biologia Computacional , Internet , Modelos Genéticos , Regiões Promotoras Genéticas , Sequências Reguladoras de Ácido Ribonucleico , Regulon , Fator sigma/metabolismo , Software , Fatores de Transcrição/metabolismo , Sítio de Iniciação de Transcrição , Transcrição Gênica
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