Bédard Camille, Pageau Alicia, Fijarczyk Anna, Mendoza-Salido David, Alcañiz Alejandro J, Després Philippe C, Durand Romain, Plante Samuel, Alexander Emilie M M, Rouleau François D, Jordan David F, Jay Adarsh, Giguère Mathieu, Bernier Mégane, Sharma Jehoshua, Maroc Laetitia, Gervais Nicholas C, Menon Anagha C T, Gagnon-Arsenault Isabelle, Bakker Sibbe, Rhodes Johanna, Dufresne Philippe J, Bharat Amrita, Sellam Adnane, De Luca Domenica G, Gerstein Aleeza, Shapiro Rebecca S, Quijada Narciso M, Landry Christian R
Département de Biochimie, de Microbiologie et de Bio-informatique, Faculté des Sciences et de Génie, Université Laval, Quebec, Quebec, Canada.
Institut de Biologie Intégrative et des Systèmes, Université Laval, Quebec, Quebec, Canada.
Nat Microbiol. 2025 Aug 11. doi: 10.1038/s41564-025-02084-7.
Antimicrobial resistance (AMR) is a global threat, especially in fungal pathogens. To optimize the use of available antifungals, we need rapid detection and monitoring tools that rely on high-quality AMR mutation data. Here we present FungAMR, a resource based on manual curation of 501 published studies on AMR mutations in clinically and agriculturally relevant fungal pathogens resulting in 35,792 entries covering 208 drugs, 246 genes and 95 fungal species. Each entry includes gene, mutation site and drug susceptibility data, with confidence scores indicating the strength of the supporting evidence. Data analysis revealed convergent mechanisms of resistance, indicating some potentially universal resistance mutations and mutations that lead to cross-resistance within and across antifungal classes. We also developed a computational tool, ChroQueTas, that leverages FungAMR to screen fungal genomes for AMR mutations. FungAMR is available as a web-searchable interface within the Comprehensive Antibiotic Resistance Database (CARD). These evolving resources promise to facilitate research on antifungal resistance.
抗菌药物耐药性(AMR)是一个全球性威胁,在真菌病原体中尤为如此。为了优化现有抗真菌药物的使用,我们需要依赖高质量AMR突变数据的快速检测和监测工具。在此,我们展示了FungAMR,这是一个基于对501篇已发表研究进行人工整理的资源,这些研究涉及临床和农业相关真菌病原体中的AMR突变,共产生了35792条记录,涵盖208种药物、246个基因和95种真菌。每条记录包括基因、突变位点和药物敏感性数据,并有置信度分数表明支持证据的强度。数据分析揭示了耐药性的趋同机制,表明存在一些潜在的普遍耐药突变以及导致抗真菌药物类别内和类别间交叉耐药的突变。我们还开发了一种计算工具ChroQueTas,它利用FungAMR筛选真菌基因组中的AMR突变。FungAMR可作为综合抗生素耐药性数据库(CARD)中的一个可通过网络搜索的界面获取。这些不断发展的资源有望促进对抗真菌耐药性的研究。