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
2022-10-06T12:20:49Z
2022-10-06T12:20:49Z
2022
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).
Article
Versió publicada
Anglès
Diversitat microbiana; Fongs - Classificació; Bases de dades; PHENOMENA AND PROCESSES::Microbiological Phenomena::Microbiota::Mycobiome; PUBLIC HEALTH::Environmental Health::Science::Microbiology::Fungi; Other subheadings::Other subheadings::/classification; PUBLICATION CHARACTERISTICS::Publication Formats::Database; FENÓMENOS Y PROCESOS::fenómenos microbiológicos::microbiota::micobioma; SALUD PÚBLICA::salud ambiental::ciencia::microbiología::hongos; Otros calificadores::Otros calificadores::/clasificación; CARACTERÍSTICAS DE PUBLICACIONES::formatos de publicación::base de datos
Elsevier
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
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
Articles científics - VHIR [1655]