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使用多位点可变数目串联重复序列分析评估水生和粪便分离株之间的遗传多样性。 (你提供的原文中“using”前面似乎缺失了具体的研究对象,我按照完整的逻辑进行了翻译。)

Evaluation of genetic diversity among aquatic and fecal isolates of using multilocus variable number of tandem repeat analysis.

作者信息

Khare Neha, Kaushik Megha, Kumar Sanjay, Gulati Pooja

机构信息

Medical Microbiology and Bioprocess Technology Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak, Haryana India.

出版信息

3 Biotech. 2020 Feb;10(2):63. doi: 10.1007/s13205-020-2066-0. Epub 2020 Jan 23.

DOI:10.1007/s13205-020-2066-0
PMID:32030332
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6977805/
Abstract

In developing countries like India, fecal pollution of surface waters is a major threat to public and environmental health. The aim of the study was to assess serological, phylogenetic and molecular diversity among aquatic isolates from Yamuna river and their comparison with the animal fecal isolates. A total of 97 isolates from Yamuna river and domesticated animals were characterized by multilocus variable number tandem repeat analysis (MLVA) using four VNTR loci. The pathogenicity of these strains by serological and phylogenetic analysis was also determined. strains were differentiated into 53 distinct MLVA types with high discriminatory power, Simpson's index of 0.95 (95% CI 0.923-0.978). Cluster analysis and population modeling using minimum spanning tree suggested a possible epidemiological linkage among aquatic and fecal isolates. The study also reported the presence of highly diverse and pathogenic serotypes belonging to STEC and EPEC strains, particularly O157 and high prevalence of pathogenic phylogroups (phylogroup, B2 and D). The presence of such a high molecular heterogeneity among aquatic and fecal isolates emphasizes upon the need to develop proper fecal pollution abatement strategies for Indian natural bodies.

摘要

在印度这样的发展中国家,地表水的粪便污染对公众健康和环境健康构成重大威胁。本研究的目的是评估亚穆纳河分离出的水生菌株的血清学、系统发育和分子多样性,并将其与动物粪便分离株进行比较。使用四个VNTR位点,通过多位点可变数目串联重复分析(MLVA)对来自亚穆纳河和家畜的97株分离株进行了鉴定。还通过血清学和系统发育分析确定了这些菌株的致病性。菌株被分为53种具有高鉴别力的不同MLVA类型,辛普森指数为0.95(95%置信区间0.923 - 0.978)。使用最小生成树的聚类分析和群体建模表明水生分离株和粪便分离株之间可能存在流行病学联系。该研究还报告了属于STEC和EPEC菌株的高度多样且致病的血清型的存在,特别是O157以及致病菌群(B2和D菌群)的高流行率。水生和粪便分离株中如此高的分子异质性凸显了为印度自然水体制定适当粪便污染减排策略的必要性。

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本文引用的文献

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Comp Immunol Microbiol Infect Dis. 2019 Apr;63:117-126. doi: 10.1016/j.cimid.2019.01.004. Epub 2019 Jan 21.
2
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Microb Drug Resist. 2019 Apr;25(3):359-370. doi: 10.1089/mdr.2018.0194. Epub 2018 Oct 16.
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