Genome-Scale Investigation of the Regulation of azoR Expression in Escherichia coli Using Computational Analysis and Transposon Mutagenesis

IF 3.3 3区 生物学 Q2 ECOLOGY Microbial Ecology Pub Date : 2024-05-01 DOI:10.1007/s00248-024-02380-5
Mona A. Salem, Hanzada T. Nour El-Din, Abdelgawad M. Hashem, Ramy K. Aziz
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Abstract

Bacterial azoreductases are enzymes that catalyze the reduction of ingested or industrial azo dyes. Although azoreductase genes have been well identified and characterized, the regulation of their expression has not been systematically investigated. To determine how different factors affect the expression of azoR, we extracted and analyzed transcriptional data from the Gene Expression Omnibus (GEO) resource, then confirmed computational predictions by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Results showed that azoR expression was lower with higher glucose concentration, agitation speed, and incubation temperature, but higher at higher culture densities. Co-expression and clustering analysis indicated ten genes with similar expression patterns to azoR: melA, tpx, yhbW, yciK, fdnG, fpr, nfsA, nfsB, rutF, and chrR (yieF). In parallel, constructing a random transposon library in E. coli K-12 and screening 4320 of its colonies for altered methyl red (MR)-decolorizing activity identified another set of seven genes potentially involved in azoR regulation. Among these genes, arsC, relA, plsY, and trmM were confirmed as potential azoR regulators based on the phenotypic decolorization activity of their transposon mutants, and the expression of arsC and relA was confirmed, by qRT-PCR, to significantly increase in E. coli K-12 in response to different MR concentrations. Finally, the significant decrease in azoR transcription upon transposon insertion in arsC and relA (as compared to its expression in wild-type E. coli) suggests their probable involvement in azoR regulation. In conclusion, combining in silico analysis and random transposon mutagenesis suggested a set of potential regulators of azoR in E. coli.

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利用计算分析和转座子突变对大肠杆菌中偶氮R表达调控的基因组规模研究
细菌偶氮还原酶是一种催化还原摄入或工业偶氮染料的酶。虽然偶氮还原酶基因已被很好地识别和表征,但其表达调控尚未得到系统研究。为了确定不同因素如何影响偶氮还原酶的表达,我们从基因表达总库(GEO)资源中提取并分析了转录数据,然后通过定量反转录聚合酶链反应(qRT-PCR)证实了计算预测。结果表明,随着葡萄糖浓度、搅拌速度和培养温度的升高,偶氮抗原的表达量降低,但在培养密度较高时,偶氮抗原的表达量升高。共表达和聚类分析表明,有十个基因的表达模式与偶氮R相似:melA、tpx、yhbW、yciK、fdnG、fpr、nfsA、nfsB、rutF 和 chrR(yieF)。同时,在大肠杆菌 K-12 中构建了一个随机转座子文库,并对其中 4320 个菌落进行了甲基红(MR)脱色活性改变的筛选,发现了另一组可能参与偶氮红调控的 7 个基因。在这些基因中,arsC、relA、plsY 和 trmM 根据其转座子突变体的表型脱色活性被确认为潜在的偶氮R 调控因子,并且通过 qRT-PCR 被证实 arsC 和 relA 的表达在大肠杆菌 K-12 中随着不同的 MR 浓度而显著增加。最后,与野生型大肠杆菌中的表达相比,转座子插入 arsC 和 relA 后,偶氮抗原转录明显减少,这表明它们可能参与了偶氮抗原的调控。总之,结合硅学分析和随机转座子诱变,提出了一系列大肠杆菌中偶氮R的潜在调控因子。
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来源期刊
Microbial Ecology
Microbial Ecology 生物-海洋与淡水生物学
CiteScore
6.90
自引率
2.80%
发文量
212
审稿时长
3-8 weeks
期刊介绍: The journal Microbial Ecology was founded more than 50 years ago by Dr. Ralph Mitchell, Gordon McKay Professor of Applied Biology at Harvard University in Cambridge, MA. The journal has evolved to become a premier location for the presentation of manuscripts that represent advances in the field of microbial ecology. The journal has become a dedicated international forum for the presentation of high-quality scientific investigations of how microorganisms interact with their environment, with each other and with their hosts. Microbial Ecology offers articles of original research in full paper and note formats, as well as brief reviews and topical position papers.
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