Khodaei Niloofar, Sadeghi Kalani Behrooz, Zamani Maryam, Mohammadzadeh Rokhsareh, Talebi Malihe, Narimani Tahmine, Narimisa Negar, Masjedian Jazi Faramarz
Microbial Biotechnology Research Center, Iran University of Medical Science, Tehran, Iran.
Department of Microbiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Iran J Basic Med Sci. 2020 Oct;23(10):1323-1327. doi: 10.22038/ijbms.2020.35816.8532.
Human gastrointestinal tract harbors a variety of bacteria with vital roles in human health. is considered one of the dominant constituents of gut microflora which can act as an opportunistic pathogen leading to various diseases, including colon cancer, diarrhea, uterine and intrathecal abscesses, septicemia, and pelvic inflammation. In this study, multiple locus variable number of tandem repeats analysis (MLVA) was performed to genetically differentiate 50 isolates.
Eight suitable tandem repeats (TRs) were selected by bioinformatics tools and were then subjected to PCR amplification using specific primers. Finally, MLVA profiles were clustered using BioNumerics 7.6 software package.
All VNTR loci were detected in all isolates using the PCR method. Overall, isolates were differentiated into 27 distinct MLVA types. The highest diversity index was allocated to TR1, TR2, TR5, TR6, and TR8; with this taken into account, strain type 14 was the most prevalent with 12 strains belonging to this type. Clustering revealed three major clusters of A, B, and C. With regards to the pathogenicity of and the outcomes of infections related to this microorganism, it is imperative to study this microorganism isolated from both patients and healthy individuals.
This study aimed at evaluating the efficiency of MLVA for the genetic differentiation of . The results of this study indicate the promising efficiency of MLVA typing for cluster detection of this bacterium.
人类胃肠道中存在多种对人类健康起着重要作用的细菌。[细菌名称]被认为是肠道微生物群的主要组成部分之一，它可作为机会致病菌导致多种疾病，包括结肠癌、腹泻、子宫和鞘内脓肿、败血症及盆腔炎。在本研究中，采用多位点可变数目串联重复序列分析（MLVA）对50株[细菌名称]分离株进行基因分型。
通过生物信息学工具选择8个合适的串联重复序列（TRs），然后使用特异性引物进行PCR扩增。最后，使用BioNumerics 7.6软件包对MLVA图谱进行聚类分析。
采用PCR方法在所有分离株中均检测到了所有VNTR位点。总体而言，分离株被分为27种不同的MLVA类型。TR1、TR2、TR5、TR6和TR8的多样性指数最高；考虑到这一点，14型菌株最为常见，有12株属于该类型。聚类分析显示出A、B和C三个主要聚类。鉴于[细菌名称]的致病性以及与该微生物相关的感染结果，研究从患者和健康个体中分离出的这种微生物势在必行。
本研究旨在评估MLVA对[细菌名称]进行基因分型的效率。本研究结果表明MLVA分型在该细菌聚类检测方面具有良好的效率。
