Xie Zixuan, Manichanh Chaysavanh
Microbiome Lab, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain.
Departament de Medicina, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain.
Comput Struct Biotechnol J. 2022 Jul 11;20:3685-3694. doi: 10.1016/j.csbj.2022.07.010. eCollection 2022.
While analysis of the bacterial microbiome has become routine, that of the fungal microbiome is still hampered by the lack of robust databases and bioinformatic pipelines. Here, we present FunOMIC, a pipeline with built-in taxonomic (1.6 million marker genes) and functional (3.4 million non-redundant fungal proteins) databases for the identification of fungi. Applied to more than 2,600 human metagenomic samples, the tool revealed fungal species associated with geography, body sites, and diseases. Correlation network analysis provided new insights into inter-kingdom interactions. With this pipeline and two of the most comprehensive fungal databases, we foresee a fast-growing resource for mycobiome studies.
虽然对细菌微生物组的分析已成为常规操作,但真菌微生物组的分析仍因缺乏强大的数据库和生物信息学流程而受到阻碍。在此,我们展示了FunOMIC,这是一个具有内置分类学(160万个标记基因)和功能(340万个非冗余真菌蛋白)数据库的流程,用于真菌鉴定。应用于2600多个人类宏基因组样本时,该工具揭示了与地理、身体部位和疾病相关的真菌物种。相关网络分析为跨王国相互作用提供了新见解。借助此流程和两个最全面的真菌数据库,我们预见真菌微生物组研究的资源将快速增长。