Biodiversity of mycobial communities in health and onychomycosis

Michael Olbrich, Anna Lara Ernst, Foteini Beltsiou, Katja Bieber, Sascha Ständer, Melanie Harder, Waltraud Anemüller, Birgit Köhler, Detlef Zillikens, Hauke Busch*, Axel Künstner, Ralf J. Ludwig

*Corresponding author for this work

Abstract

Onychomycosis (OM) is a common fungal nail infection. Based on the rich mycobial diversity in healthy toenails, we speculated that this is lost in OM due to the predominance of a single pathogen. We used next generation sequencing to obtain insights into the biodiversity of fungal communities in both healthy individuals and OM patients. By sequencing, a total of 338 operational-taxonomic units were found in OM patients and healthy controls. Interestingly, a classifier distinguished three distinct subsets: healthy controls and two groups within OM patients with either a low or high abundance of Trichophyton. Diversity per sample was decreased in controls compared to cases with low Trichophyton abundance (LTA), while cases with a high Trichophyton abundance (HTA) showed a lower diversity. Variation of mycobial communities between the samples showed shifts in the community structure between cases and controls—mainly driven by HTA cases. Indeed, LTA cases had a fungal β-diversity undistinguishable from that of healthy controls. Collectively, our data provides an in-depth characterization of fungal diversity in health and OM. Our findings also suggest that onychomycosis develops either through pathogen-driven mechanisms, i.e., in HTA cases, or through host and/or environmental factors, i.e., in cases with a low Trichophyton abundance.

Original languageEnglish
Article number8872
JournalScientific Reports
Volume12
Issue number1
Pages (from-to)8872
ISSN2045-2322
DOIs
Publication statusPublished - 25.05.2022

Funding

Open Access funding enabled and organized by Projekt DEAL. Research Training Group “Genes, Environment and Inflammation” (GRK1743), the Cluster of Excellence “Precision Medicine in Chronic Inflammation” (EXC2167) from the Deutsche Forschungsgemeinschaft, and the Schleswig–Holstein Excellence-Chair Program from the State of Schleswig Holstein. We are thankful for the computational support from the OMICS compute cluster at the University of Lübeck.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Areas and Centers

  • Academic Focus: Center for Infection and Inflammation Research (ZIEL)
  • Centers: Center for Research on Inflammation of the Skin (CRIS)

DFG Research Classification Scheme

  • 2.21-05 Immunology
  • 2.21-03 Medical Microbiology and Mycology, Hygiene, Molecular Infection Biology
  • 2.22-19 Dermatology

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