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使用多位点可变数目串联重复序列分析鉴定印度尼西亚东部(1982 - 2020年)分离株的分子特征。

Identification of the molecular characteristics of (1982-2020) isolates in East Indonesia using multilocus variable-number tandem repeat analysis.

作者信息

Yudianingtyas D W, Sumiarto B, Susetya H, Salman Mo, Djatmikowati T F, Haeriah Haeriah, Rahman Abdul, Mangidi R

机构信息

Doctoral Study Program, Faculty of Veterinary Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia.

Department of Epidemiology and Veterinary Information, Disease Investigation Centre Maros, Directorate General of Livestock Services and Animal Health, Ministry of Agriculture, The Republic of Indonesia, Indonesia.

出版信息

Vet World. 2022 Apr;15(4):953-961. doi: 10.14202/vetworld.2022.953-961. Epub 2022 Apr 16.

DOI:10.14202/vetworld.2022.953-961
PMID:35698492
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9178602/
Abstract

BACKGROUND AND AIM

Anthrax is one of the endemic strategic diseases in East Indonesia, particularly in the provinces of South Sulawesi, West Sulawesi, Gorontalo, East Nusa Tenggara, and West Nusa Tenggara. Anthrax is an important disease due to its zoonotic and economic impact on the livestock industry. This study aimed to identify the molecular characteristics of in East Indonesia using multilocus variable-number tandem repeat (VNTR) analysis (MLVA).

MATERIALS AND METHODS

Isolates were obtained from an investigation of anthrax outbreaks in five provinces of East Indonesia from 1982 to 2020. Conventional polymerase chain reaction for was used to identify MLVA-8. Deoxyribonucleic acid sequencing analysis was based on MLVA-8 primers for VNTR identification of the phylogenetic relationship among 24 isolates of obtained from 17 distinct districts/cities in East Indonesia. Tandem Repeats Finder was used for VNTR identification, and Molecular Evolutionary Genetics Analysis X was used to construct phylogenetic analysis.

RESULTS

In this study, 24 isolates were classified as genotype or lineage A. There were four subgroups of circulating in East Indonesia based on eight molecular marker loci sequence results.

CONCLUSION

The findings of this study show that MLVA-8 typing might be useful as a subtyping tool for the epidemiological investigation of identical genotypes and low genetic diversity of . No other lineage of was circulating in East Indonesia. Other molecular methods are needed, such as extended MLVA, whole-genome sequencing, and canonical single-nucleotide polymorphism, for a more precise study of genetic diversity.

摘要

背景与目的

炭疽是印度尼西亚东部的地方性战略疾病之一,特别是在南苏拉威西省、西苏拉威西省、哥伦打洛省、东努沙登加拉省和西努沙登加拉省。炭疽因其人畜共患病性质以及对畜牧业的经济影响而成为一种重要疾病。本研究旨在通过多位点可变数目串联重复序列(VNTR)分析(MLVA)来鉴定印度尼西亚东部炭疽杆菌的分子特征。

材料与方法

分离株取自1982年至2020年对印度尼西亚东部五个省份炭疽疫情的调查。采用常规聚合酶链反应鉴定MLVA-8。基于MLVA-8引物进行脱氧核糖核酸测序分析,以鉴定从印度尼西亚东部17个不同地区/城市获得的24株炭疽杆菌分离株之间的系统发育关系。使用串联重复序列查找工具进行VNTR鉴定,并使用分子进化遗传学分析软件X构建系统发育分析。

结果

在本研究中,24株分离株被归类为基因型或谱系A。根据八个分子标记位点的序列结果,在印度尼西亚东部流行的炭疽杆菌有四个亚组。

结论

本研究结果表明,MLVA-8分型可能作为一种亚型分型工具,用于相同基因型炭疽杆菌的流行病学调查以及低遗传多样性研究。在印度尼西亚东部没有其他谱系的炭疽杆菌流行。需要其他分子方法,如扩展MLVA、全基因组测序和标准单核苷酸多态性分析,以更精确地研究炭疽杆菌的遗传多样性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c125/9178602/64f0abbd963c/Vetworld-15-953-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c125/9178602/33e6feec19a1/Vetworld-15-953-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c125/9178602/fef67ce6df5e/Vetworld-15-953-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c125/9178602/64f0abbd963c/Vetworld-15-953-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c125/9178602/33e6feec19a1/Vetworld-15-953-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c125/9178602/fef67ce6df5e/Vetworld-15-953-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c125/9178602/64f0abbd963c/Vetworld-15-953-g003.jpg

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Molecular characterization of B. anthracis isolates from the anthrax outbreak among cattle in Karnataka, India.从印度卡纳塔克邦牛炭疽爆发事件中分离的炭疽杆菌的分子特征。
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Genetic Diversity of Australian Isolates Revealed by Multiple-Locus Variable-Number Tandem Repeat Analysis.
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Epidemiological Investigation and Etiological Analysis of a Cutaneous Anthrax Epidemic Caused by Butchering Sick Cattle in Guizhou, China.中国贵州一起因屠宰病牛引发的皮肤炭疽疫情的流行病学调查与病因分析
Front Public Health. 2020 Mar 25;8:65. doi: 10.3389/fpubh.2020.00065. eCollection 2020.
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