Integrative functional analysis uncovers metabolic differences between Candida species
Artikel i vetenskaplig tidskrift, 2022

Candida species are a dominant constituent of the human mycobiome and associated with the development of several diseases. Understanding the Candida species metabolism could provide key insights into their ability to cause pathogenesis. Here, we have developed the BioFung database, providing an efficient annotation of protein-encoding genes. Along, with BioFung, using carbohydrate-active enzyme (CAZymes) analysis, we have uncovered core and accessory features across Candida species demonstrating plasticity, adaption to the environment and acquired features. We show a greater importance of amino acid metabolism, as functional analysis revealed that all Candida species can employ amino acid metabolism. However, metabolomics revealed that only a specific cluster of species (AGAu species-C. albicans, C. glabrata and C. auris) utilised amino acid metabolism including arginine, cysteine, and methionine metabolism potentially improving their competitive fitness in pathogenesis. We further identified critical metabolic pathways in the AGAu cluster with biomarkers and anti-fungal target potential in the CAZyme profile, polyamine, choline and fatty acid biosynthesis pathways. This study, combining genomic analysis, and validation with gene expression and metabolomics, highlights the metabolic diversity with AGAu species that underlies their remarkable ability to dominate they mycobiome and cause disease.


Neelu Begum

King's College London

Sunjae Lee

King's College London

Theo John Portlock

Kungliga Tekniska Högskolan (KTH)

Aize Pellon

King's College London

Shervin Dokht Sadeghi Nasab

King's College London

Jens B Nielsen

Chalmers, Biologi och bioteknik, Systembiologi

Copenhagen N

Mathias Uhlen

Kungliga Tekniska Högskolan (KTH)

David L. Moyes

King's College London

Saeed Shoaie

King's College London

Kungliga Tekniska Högskolan (KTH)

Communications Biology

23993642 (eISSN)

Vol. 5 1 1013-



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