从阿尔及利亚东部大肠埃希菌感染患者体内分离出的 fliC 基因及其蛋白质的生物信息学分析和时空分布。

IF 1.1 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Malaysian Journal of Medical Sciences Pub Date : 2024-10-01 Epub Date: 2024-10-08 DOI:10.21315/mjms2024.31.5.12
Abdenassar Harrar, Rukman Awang Hamat, Mohamed Abdelhafid Hamidechi
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引用次数: 0

摘要

背景:大肠杆菌的 fliC 基因座主要编码鞭毛(H)抗原。探索 fliC 序列的多样性将有助于了解细菌的致病机制。本研究调查了阿尔及利亚东部省份不同年龄组、性别和样本类型的受感染患者在两年内出现的大肠杆菌 fliC 突变菌株:这项回顾性横断面研究涉及阿尔及利亚东部的三个省份:i) Bordj Bou Arreridj;ii) Setif;iii) Batna。从国立大学医院中心共分离出 75 例大肠杆菌。研究人员进行了两类分析:i)对从 fliC 基因翻译而来的蛋白质序列,特别是 fliC 鞭毛序列进行生物信息学分析;ii)考虑到各种参数,对感染患者群体进行多因素统计分析(多重对应分析 [MCA])。使用快速傅立叶变换多重比对程序(MAFFT)对 fliC 蛋白序列进行比对。然后使用 MView 程序将比对结果可视化。最后,利用 MEGA 11 软件中的最大似然法构建了系统发生树:生物信息学分析结果表明,fliC 蛋白序列的结构,尤其是两个 N 端和 C 端结构保持不变,而中心区的结构则有很大的变化。结论:在阿尔及利亚三省医院的患者临床样本中未检测到大肠杆菌中的 fliC 突变。我们的分析表明,所有样本都表现出野生型毒力细菌的特征,没有发生突变。有必要开展多中心研究,对 fliC 突变菌株进行流行病学监测,以便今后采取预防措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bioinformatics Analysis and Spatiotemporal Distribution of the fliC Gene and Its Protein Isolated from Escherichia coli-Infected Patients in Eastern Algeria.

Background: The fliC locus in Escherichia coli primarily encodes flagellar (H) antigens. Exploring fliC sequence diversity will shed light on the mechanisms of bacterial pathogenicity. This study examined the presence of fliC mutant strains of E. coli in infected patients from different age groups, sexes and sample types in eastern Algerian provinces over a span of 2 years.

Methods: This retrospective, cross-sectional study involved three provinces in eastern Algeria: i) Bordj Bou Arreridj, ii) Setif and iii) Batna. A total of 75 E. coli isolates were obtained from the University State Hospital Centre. Two types of analyses were conducted: i) a bioinformatics analysis of the protein sequences translated from the fliC genes, specifically the fliC flagellar sequences and ii) a multifactorial statistical analysis (multiple correspondence analysis [MCA]) of the population of infected patients, considering various parameters. The fliC protein sequences were aligned using the Multiple Alignment using Fast Fourier Transform (MAFFT) programme. The alignment results were then visualised using the MView programme. Finally, a phylogenetic tree was constructed using the maximum likelihood algorithm in MEGA 11 software.

Results: Bioinformatics analysis highlighted the strong conservation of the structures of the fliC protein sequences, especially at the two N- and C-terminal ends, and strong variability in the central zone. This remarkable fliC intersequence similarity is corroborated by the presence of protein motifs identified in the PROSITE protein motif database.

Conclusion: fliC mutations in E. coli were not detected in the clinical samples of patients from hospitals in the three Algerian Provinces. Our analysis revealed that all the samples exhibited characteristics of wild-type virulent bacteria without mutations. A multicentre study is warranted for epidemiological surveillance of fliC mutant strains for future preventive measures.

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来源期刊
Malaysian Journal of Medical Sciences
Malaysian Journal of Medical Sciences MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
2.70
自引率
0.00%
发文量
89
审稿时长
9 weeks
期刊介绍: The Malaysian Journal of Medical Sciences (MJMS) is a peer-reviewed, open-access, fully online journal that is published at least six times a year. The journal’s scope encompasses all aspects of medical sciences including biomedical, allied health, clinical and social sciences. We accept high quality papers from basic to translational research especially from low & middle income countries, as classified by the United Nations & World Bank (https://datahelpdesk.worldbank.org/knowledgebase/ articles/906519), with the aim that published research will benefit back the bottom billion population from these countries. Manuscripts submitted from developed or high income countries to MJMS must contain data and information that will benefit the socio-health and bio-medical sciences of these low and middle income countries. The MJMS editorial board consists of internationally regarded clinicians and scientists from low and middle income countries.
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