Suppr超能文献

中国利什曼原虫分离株的遗传多样性分析及 RAPD 技术开发利什曼原虫复合种属特异性标记。

Genetic diversity analysis of Chinese Leishmania isolates and development of L. donovani complex-specific markers by RAPD.

机构信息

Department of Human Anatomy, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, 610041, China.

Department of Parasitology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, 610041, China.

出版信息

BMC Infect Dis. 2021 May 21;21(1):464. doi: 10.1186/s12879-021-06163-y.

Abstract

BACKGROUND

Leishmaniasis is one of the most neglected tropical diseases in the world and remains endemic in some underdeveloped regions, including western China. The phylogeny and classification of Chinese Leishmania has not been completely clarified to date, especially within the Leishmania (L.) donovani complex, although phylogenetic analyses based on a series of gene markers have been performed. More analytic methods and data are still needed. Random amplified polymorphic DNA (RAPD) technology can sensitively identify slight intraspecific differences, and it is a powerful tool to seek species-specific markers. This work attempted to identify Chinese Leishmania isolates from diverse geographic regions at the genomic level. Meanwhile, specific markers of the L. donovani complex were also developed by RAPD.

METHODS

RAPD was applied to 14 Chinese Leishmania isolates from diverse geographic regions and 3 WHO reference strains. The polymorphic sites of amplification were transformed into a data matrix, based on which genetic similarity was calculated, and a UPGMA dendrogram was constructed to analyse the genetic diversity of these Leishmania isolates. Meanwhile, the specific amplification loci of the L. donovani complex were TA-cloned, sequenced and converted into sequence characterized amplified region (SCAR) markers, which were validated preliminarily in 17 available Leishmania strains in this study and analysed by bioinformatics.

RESULTS

The cluster analyses showed that the three Leishmania sp. isolates SC10H2, SD and GL clustered together and apart from others, the strains of the L. donovani complex clearly divided into two clades, and the three isolates Cy, WenChuan and 801 formed a subclade. Three specific SCAR markers of the L. donovani complex, i.e., 1-AD17, 2-A816 and 3-O13, were successfully obtained and validated on 17 available Leishmania strains in this study. Through bioinformatic analyses, Marker 1-AD17 may have more specificity for PCR detection of VL, and Marker 3-O13 has the potential to encode a protein.

CONCLUSIONS

The RAPD results verified that the undescribed Leishmania species causing visceral leishmaniasis (VL) in China was a unique clade distinguished from L. donovani and revealed that there was genetic differentiation among Chinese L. donovani. The identification of L. donovani-specific markers may help to provide a foundation for future research attempting to develop new specific diagnostic markers of VL and identify specific gene functions.

摘要

背景

利什曼病是世界上最被忽视的热带病之一,在中国西部等一些欠发达地区仍然流行。迄今为止,中国利什曼原虫的系统发育和分类尚未完全阐明,特别是在利什曼原虫(L.)杜氏复合体中,尽管已经进行了基于一系列基因标记的系统发育分析。还需要更多的分析方法和数据。随机扩增多态性 DNA(RAPD)技术可以敏感地识别轻微的种内差异,是寻找种特异性标记的有力工具。本工作试图从不同地理区域的基因组水平鉴定中国利什曼原虫分离株。同时,通过 RAPD 开发了杜氏复合体的特异性标记。

方法

RAPD 应用于来自不同地理区域的 14 株中国利什曼原虫分离株和 3 株世界卫生组织参考株。将扩增的多态性位点转化为数据矩阵,根据该数据矩阵计算遗传相似性,并构建 UPGMA 聚类树分析这些利什曼原虫分离株的遗传多样性。同时,TA 克隆、测序并转化为序列特征扩增区(SCAR)标记的杜氏复合体特异性扩增位点,在本研究中对 17 株现有利什曼原虫菌株进行初步验证,并进行生物信息学分析。

结果

聚类分析表明,3 株利什曼原虫分离株 SC10H2、SD 和 GL 聚类在一起,与其他分离株分开,杜氏复合体的菌株明显分为两个分支,3 株分离株 Cy、汶川和 801 形成一个亚分支。成功获得并验证了杜氏复合体的 3 个特异性 SCAR 标记,即 1-AD17、2-A816 和 3-O13,在本研究中对 17 株现有利什曼原虫菌株进行了验证。通过生物信息学分析,标记物 1-AD17 可能对 VL 的 PCR 检测具有更高的特异性,标记物 3-O13 具有编码蛋白质的潜力。

结论

RAPD 结果证实,在中国引起内脏利什曼病(VL)的未描述利什曼原虫种是一个独特的分支,与杜氏利什曼原虫不同,并表明中国杜氏利什曼原虫存在遗传分化。鉴定杜氏利什曼原虫特异性标记物可能有助于为未来研究提供基础,尝试开发新的 VL 特异性诊断标记物并鉴定特定基因功能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b29e/8140445/6d897dd12018/12879_2021_6163_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验