FunOMIC: Pipeline with built-in fungal taxonomic and functional databases for human mycobiome profiling

Altres autors/es

Institut Català de la Salut

[Xie Z, Manichanh C] Grup de Recerca en Microbioma, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain

Vall d'Hebron Barcelona Hospital Campus

Data de publicació

2022-10-06T12:20:49Z

2022-10-06T12:20:49Z

2022



Resum

Fungal databases; Taxonomy and functions; Inter-kingdom interactions


Bases de datos de hongos; Taxonomía y funciones; Interacciones entre reinos


Bases de dades de fongs; Taxonomia i funcions; Interaccions entre regnes


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.


This work was supported by the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Action, Innovative Training Network [grant number 812969] and by the Instituto de Salud Carlos III /FEDER, a government agency (Grant No: PI17/00614; PI20/00130).

Tipus de document

Article


Versió publicada

Llengua

Anglès

Publicat per

Elsevier

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Computational and Structural Biotechnology Journal;20

https://doi.org/10.1016/j.csbj.2022.07.010

info:eu-repo/grantAgreement/ES/PE2013-2016/PI17%2F00614

info:eu-repo/grantAgreement/ES/PE2017-2020/PI20%2F00130

info:eu-repo/grantAgreement/EC/H2020/812969

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