Literature DB >> 35612712

Rapid Identification of Four Fusarium spp. Complex by High-Resolution Melting Curve Analysis and their Antifungal Susceptibility Profiles.

Xuexin Hou1, Yuanyuan Geng1, Rongchen Dai2, Fei Zhao1, Lihua He1, Jie Gong3.   

Abstract

Fusarium species are globally distributed filamentous ascomycete fungi that are frequently reported as plant pathogens and opportunistic human pathogens, leading to yield loss of crops, mycotoxin contamination of food and feed products as well as damage to human and livestock. Human infections of Fusarium spp. are difficult to treat due to broad antifungal resistance by members of this genus. Their role as disease-causing agents in crops and humans suggests a need for antifungal resistance profiles as well as a simple, rapid, and cost effective identification method. Fusarium strains were isolated from food and clinical samples. High-resolution melting curve (HRM) analysis was performed using specific primers targeting internal transcribed spacer (ITS) region, followed with evaluation of specificity and sensitivity. The antifungal susceptibility of four Fusarium species was studied using the Sensititre YeastOne method. HRM analysis revealed reproducible, unimodal melting profiles specific to each of the four Fusarium strains, while no amplification of the negative controls. The minimum detection limits were 100-120 copies based on a 2 µl volume of template. Clear susceptibility differences were observed against antifungal agents by different Fusarium isolates, with amphotericin B and voriconazole displayed strongest antifungal effects to all the tested strains. We developed a simple, rapid, and low-cost qPCR-HRM method for identification of four Fusarium spp. (F. oxysporum, F. lateritium, F. fujikuroi, and F. solani). The antifungal susceptibility profiles supplied antifungal information of foodborne and clinical Fusarium spp. and provided guidance for clinical treatment of human infections.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Antifungal susceptibility; Fusariosis; Fusarium; High-resolution melting curve; Identification

Mesh:

Substances:

Year:  2022        PMID: 35612712     DOI: 10.1007/s11046-022-00635-8

Source DB:  PubMed          Journal:  Mycopathologia        ISSN: 0301-486X            Impact factor:   3.785


  1 in total

1.  Molecular identification of Fusarium species complex isolated from clinical samples and its antifungal susceptibility patterns.

Authors:  Yashik Bansal; Nidhi Singla; Neelam Kaistha; Sunandan Sood; Jagdish Chander
Journal:  Curr Med Mycol       Date:  2019
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.