Open AccessHigh‐resolution melting analysis assay for identification of Fonsecaea species
Author(s) -
Shi Minglan,
Li Xiqing,
Feng Jiao,
Jia Shulin,
Xiao Xing,
Chen Chunmei,
Fransisca Cindy,
Xi Liyan,
Zhang Junmin
Publication year - 2018
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.22257
Subject(s) - high resolution melt , biology , genbank , chromoblastomycosis , amplicon , microbiology and biotechnology , sequence analysis , isolation (microbiology) , polymerase chain reaction , genetics , gene
Background Chromoblastomycosis (CBM) is a chronic fungal disease. In China, the principle etiologic agent was a group of dematiaceous fungi, including Fonsecaea monophora , Fonsecaea nubica , and Cladophialophora carrionii . Although the Fonsecaea species have similar morphology, their pathogenicity is quite different. This study aims to establish a new solution for early identification of Fonsecaea species because of their distinctive potential infection risk. Methods Five reference strains and 35 clinical isolates from patients with CBM , preserved in our laboratory, were used in this study. The universal primer ITS 1 and ITS 2 were chosen to amplify the highly conserved regions of rDNA . High‐resolution melting ( HRM ) analysis was performed using the LIGHTCYCLER ® 96 System. All the amplicons were verified by direct sequencing and the sequence were aligned with those in GenBank by BLAST analysis. Results We successfully differentiated the five strains according to their different Tm values and curve shapes. The 35 clinical isolates from patients were identified as 24 strains for F. monophora and 11 strains for F. nubica , which is consistent with the DNA sequencing results. Conclusion It is the first time to use HRM analysis for identification of Fonsecaea species. Since the CBM etiologic agent in South China is mainly F. monophora and F. nubica , this strategy is sufficient to be applied in the clinical examination with high accuracy, speed, and throughput.