N. N. Al-Dabbagh, Wissam Hamid Al-janabi, M. Al-Shuhaib
{"title":"Identification of Candida Species Using 26S Ribosomal RNA Gene Sequencing in Patients with Periodontitis","authors":"N. N. Al-Dabbagh, Wissam Hamid Al-janabi, M. Al-Shuhaib","doi":"10.4167/jbv.2019.49.4.212","DOIUrl":null,"url":null,"abstract":"©This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/ license/by-nc/3.0/). The infection with Candida spp. for oral cavity is being increasingly reported. However, its variations have not yet been specifically described in periodontitis. The present study was conducted to use an uniplex 26S rRNAbased amplicons to detect and discriminate Candida using only one pair of ribosomal primers. A total of 50 patients with chronic periodontitis was involved in the study. Pure Candida colonies were isolated from 23 patients and genomic DNA was extracted, and PCR was conducted. Direct DNA sequencing followed by comprehensive phylogenetic analyses were performed to confirm the identity of Candida colonies. Results indicated that the ration of Candida-infected patients was 46%, with a high prevalence of C. albicans, followed by remarkably lower ratios of C. parapsilosis, C. glabrata, C. kefyr, and C. dubliniensis respectively. Phylogenetic analyses indicated obvious discrimination amongst the analyzed Candida species as each observed species occupied a distinctive phylogenetic position. The current results reported a simple, efficient, and low-cost detection of five species of Candida without the need for other costly techniques of molecular screening. The current findings may help dentists to easily take a snapshot of the patterns of Candida infection in periodontitis cases to assess the nature and grade of infection.","PeriodicalId":39739,"journal":{"name":"Journal of Bacteriology and Virology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Bacteriology and Virology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4167/jbv.2019.49.4.212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Immunology and Microbiology","Score":null,"Total":0}
引用次数: 0
应用26S核糖体RNA基因测序技术鉴定牙周炎患者念珠菌属
©这是一篇根据知识共享署名非商业许可条款分发的开放获取文章(http://creativecommons.org/license/by-nc/3.0/)。口腔念珠菌感染的报道越来越多。然而,其变异尚未在牙周炎中得到具体描述。本研究仅使用一对核糖体引物,使用基于单联26S rRNA的扩增子来检测和区分念珠菌。共有50名慢性牙周炎患者参与了这项研究。从23名患者中分离出纯念珠菌菌落,提取基因组DNA,并进行PCR。进行直接DNA测序,然后进行全面的系统发育分析,以确认念珠菌菌落的身份。结果表明,念珠菌感染患者的比例为46%,白色念珠菌的患病率较高,其次是副psilosis念珠菌、光滑念珠菌、kefyr念珠菌和都柏林念珠菌。系统发育分析表明,所分析的念珠菌物种之间存在明显的差异,因为每个观察到的物种都占据着独特的系统发育位置。目前的结果报告了一种简单、高效、低成本的五种念珠菌检测方法,而不需要其他昂贵的分子筛选技术。目前的研究结果可能有助于牙医轻松掌握牙周炎患者念珠菌感染的模式,以评估感染的性质和级别。
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