Regulatory Element Analysis and Comparative Genomics Study of Heavy Metal-Resistant Genes in the Complete Genome of Cupriavidus gilardii CR3.

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS
Bioinformatics and Biology Insights Pub Date : 2024-11-24 eCollection Date: 2024-01-01 DOI:10.1177/11779322241299905
Duguma Dibbisa, Tadesse Daba, Seid Mohammed
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引用次数: 0

Abstract

Environmental pollution has become a worldwide concern that requires rigorous efforts from all sectors of society to monitor, control, and remediate it. In environmental pollution control, Cupriavidus gilardii CR3 has become a model organism to study resistance to heavy metals as a means of bacterial bioremediation. This research aimed to single out regulatory element analysis and conduct a comparative genome study of the heavy metal resistance genes in the complete genome of C gilardii CR3 using bioinformatics and omics tools. Comparative genome analysis, promoter prediction, common motif identification, transcriptional start site identification, gene annotation, and transcription factor identification search are the major steps to understanding gene expression and regulation. MEME Suit, TOMTOM, Prokka, Rapid Annotation utilizing Subsystem Technology (RAST), Orthologous Average Nucleotide Identity Software Tool (OAT), and EziBio databases or programs were the major tools used in this study. Fourteen transcriptional factors were identified and predicted from the most credible and lowest candidate motifs with an e-value of 3.0e-009, which was statistically the utmost remarkable candidate motif. A detailed evaluation was further performed, and 14 transcriptional factors were identified as in activation, repression, and dual functions. The data revealed that most transcriptional factors identified were used for activation rather than repression. The C gilardii CR3 genome contains many genes responsible for resisting heavy metals such as mercury, cadmium, zinc, copper, and arsenate. As a result, regulatory elements will lay a solid basis for understanding genes responsible for heavy metal bioremediation. It was concluded that further studies with wet lab support could be conducted for confirmation. Moreover, other advanced bioinformatics and omics technologies are needed to strengthen the results.

Cupriavidus gilardii CR3 完整基因组中抗重金属基因的调控元件分析和比较基因组学研究
环境污染已成为全世界关注的问题,需要社会各界大力开展监测、控制和修复工作。在环境污染控制方面,Cupriavidus gilardii CR3 已成为研究抗重金属作为细菌生物修复手段的模式生物。本研究旨在利用生物信息学和omics工具,对C gilardii CR3全基因组中的重金属抗性基因进行单个调控元件分析和比较基因组研究。比较基因组分析、启动子预测、通用主题识别、转录起始位点识别、基因注释和转录因子识别搜索是了解基因表达和调控的主要步骤。MEME Suit、TOMTOM、Prokka、Rapid Annotation utilizing Subsystem Technology(RAST)、Orthologous Average Nucleotide Identity Software Tool(OAT)和 EziBio 数据库或程序是本研究使用的主要工具。从可信度最高和最低的候选主题中识别并预测出了 14 个转录因子,其 e 值为 3.0e-009,在统计学上是最显著的候选主题。进一步的详细评估发现,14 个转录因子具有激活、抑制和双重功能。数据显示,大多数被鉴定的转录因子用于激活而非抑制。C gilardii CR3 基因组包含许多负责抵抗重金属(如汞、镉、锌、铜和砷酸盐)的基因。因此,调控元件将为了解负责重金属生物修复的基因奠定坚实的基础。结论是,可以在湿实验室的支持下开展进一步研究,以进行确认。此外,还需要其他先进的生物信息学和组学技术来强化研究结果。
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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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