Molecular typing and establishment of MALDI-TOF MS in-house database of ten Histoplasma capsulatum and seven Coccidioides sp. strains
10.3760/cma.j.cn112309-20230925-00087
- VernacularTitle:10株荚膜组织胞浆菌和7株球孢子菌的分型鉴定及质谱自建库建立
- Author:
Huan MEI
1
;
Hailin ZHENG
;
Xiaofang LI
;
Weiyi WANG
;
Yuping CHEN
;
Weida LIU
Author Information
1. 中国医学科学院皮肤病医院（中国医学科学院皮肤病研究所）真菌科，南京 210042
- Keywords:
Histoplasma capsulatum;
Coccidioides sp.;
Molecular identification;
MALDI-TOF MS in-house database
- From:
Chinese Journal of Microbiology and Immunology
2024;44(8):696-705
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To recheck the Histoplasma capsulatum and Coccidioides sp. strains of the past by molecular identification and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF MS). Methods:The phylogenetic relationships among the ten Histoplasma capsulatum isolates and reference strains were analyzed by multilocus sequence typing (MLST). Based on the Coi region, Coccidioides posadasii was distinguished from Coccidioides immitis accurately. MALDI-TOF MS was used to set up the MALDI-TOF MS database of Histoplasma capsulatum and Coccidioides sp. for rapid identification. In addition, hierarchical clustering of spectra was compared with MLST. Results:An unrooted dendrogram constructed with MLST showed that ten individuals of Histoplasma capsulatum were divided into three clades: Eurasia clade, Australia clade and North American class 2 clade, in agreement with the establishment by MALDI-TOF MS cluster analysis. All individuals of Coccidioides sp. were identified as Coccidioides posadasii with Coi region primers. The in-house MALDI-TOF MS database of Histoplasma capsulatum and Coccidioides posadasii was expanded and reached an identified accuracy of 100%. Conclusions:We improve the recognition of Histoplasma capsulatum and Coccidioides posadasii by molecular pathways which shows the major species or clades in Chinese mainland. The in-house MALDI-TOF MS database of Histoplasma capsulatum and Coccidioides posadasii can provide a new efficient way to identify those pathogens rapidly.
