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Rapid identification of the Candida glabrata species complex by high‐resolution melting curve analysis

BACKGROUND: Candida glabrata is a common pathogen that causes invasive candidiasis. Among non‐albicans Candida infections, C glabrata infections are associated with the highest fatality rates. Candida glabrata sensu stricto, Candida nivariensis, and Candida bracarensis have been identified and toget...

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Autores principales: Cai, Shuqian, Xu, Juan, Shao, Yakun, Gong, Jie, Zhao, Fei, He, Lihua, Shan, Xiaoyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7307358/
https://www.ncbi.nlm.nih.gov/pubmed/32048348
http://dx.doi.org/10.1002/jcla.23226
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author Cai, Shuqian
Xu, Juan
Shao, Yakun
Gong, Jie
Zhao, Fei
He, Lihua
Shan, Xiaoyun
author_facet Cai, Shuqian
Xu, Juan
Shao, Yakun
Gong, Jie
Zhao, Fei
He, Lihua
Shan, Xiaoyun
author_sort Cai, Shuqian
collection PubMed
description BACKGROUND: Candida glabrata is a common pathogen that causes invasive candidiasis. Among non‐albicans Candida infections, C glabrata infections are associated with the highest fatality rates. Candida glabrata sensu stricto, Candida nivariensis, and Candida bracarensis have been identified and together form the C glabrata species complex. It is difficult to detect the two rare species by traditional laboratory methods. This study established a method for the rapid identification of members of the C glabrata species complex based on high‐resolution melting curve (HRM) analysis and evaluated its practical application. METHODS: The internal transcribed spacer (ITS) region was used as target gene region to design specific primers. HRM analysis was performed with three subspecies of the C glabrata species complex and negative controls to test its specificity and sensitivity. To evaluate its practical application, the HRM technique was tested with clinical isolates, and the results were compared with the DNA sequencing results. RESULTS: Differences were detected among the melting profiles of the members of the C glabrata species complex. The negative controls were not amplified, indicating the high specificity of the method. The minimum detection limits of C glabrata sensu stricto, C nivariensis, and C bracarensis were approximately 1 × 10(1) copies/µL or less. The results of the HRM analysis of the clinical isolates were consistent with the DNA sequencing results. CONCLUSIONS: The HRM method is sensitive and can be used to rapidly identify the members of the C glabrata species complex. The method can allow early and targeted treatment of patients with invasive candidiasis.
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spelling pubmed-73073582020-06-23 Rapid identification of the Candida glabrata species complex by high‐resolution melting curve analysis Cai, Shuqian Xu, Juan Shao, Yakun Gong, Jie Zhao, Fei He, Lihua Shan, Xiaoyun J Clin Lab Anal Research Articles BACKGROUND: Candida glabrata is a common pathogen that causes invasive candidiasis. Among non‐albicans Candida infections, C glabrata infections are associated with the highest fatality rates. Candida glabrata sensu stricto, Candida nivariensis, and Candida bracarensis have been identified and together form the C glabrata species complex. It is difficult to detect the two rare species by traditional laboratory methods. This study established a method for the rapid identification of members of the C glabrata species complex based on high‐resolution melting curve (HRM) analysis and evaluated its practical application. METHODS: The internal transcribed spacer (ITS) region was used as target gene region to design specific primers. HRM analysis was performed with three subspecies of the C glabrata species complex and negative controls to test its specificity and sensitivity. To evaluate its practical application, the HRM technique was tested with clinical isolates, and the results were compared with the DNA sequencing results. RESULTS: Differences were detected among the melting profiles of the members of the C glabrata species complex. The negative controls were not amplified, indicating the high specificity of the method. The minimum detection limits of C glabrata sensu stricto, C nivariensis, and C bracarensis were approximately 1 × 10(1) copies/µL or less. The results of the HRM analysis of the clinical isolates were consistent with the DNA sequencing results. CONCLUSIONS: The HRM method is sensitive and can be used to rapidly identify the members of the C glabrata species complex. The method can allow early and targeted treatment of patients with invasive candidiasis. John Wiley and Sons Inc. 2020-02-11 /pmc/articles/PMC7307358/ /pubmed/32048348 http://dx.doi.org/10.1002/jcla.23226 Text en © 2020 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Cai, Shuqian
Xu, Juan
Shao, Yakun
Gong, Jie
Zhao, Fei
He, Lihua
Shan, Xiaoyun
Rapid identification of the Candida glabrata species complex by high‐resolution melting curve analysis
title Rapid identification of the Candida glabrata species complex by high‐resolution melting curve analysis
title_full Rapid identification of the Candida glabrata species complex by high‐resolution melting curve analysis
title_fullStr Rapid identification of the Candida glabrata species complex by high‐resolution melting curve analysis
title_full_unstemmed Rapid identification of the Candida glabrata species complex by high‐resolution melting curve analysis
title_short Rapid identification of the Candida glabrata species complex by high‐resolution melting curve analysis
title_sort rapid identification of the candida glabrata species complex by high‐resolution melting curve analysis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7307358/
https://www.ncbi.nlm.nih.gov/pubmed/32048348
http://dx.doi.org/10.1002/jcla.23226
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