Literature DB >> 31128284

Characterization of fungal microbiota on normal ocular surface of humans.

Y Wang1, H Chen2, T Xia2, Y Huang3.   

Abstract

OBJECTIVES: Our objective was to characterize the fungal microbiota on normal ocular surface of humans with the culture-based method and high-throughput sequencing approach.
METHODS: A total of 45 adults were recruited from an urban community, and 90 conjunctival swabs were obtained, one from each eye of each participant. One of the two swabs from each participant was randomly chosen and allocated to internal transcribed spacer (ITS) sequencing, and the other was subjected to conventional fungal cultivation.
RESULTS: Four filamentous fungi were isolated from the 45 samples using the culture-based method, Penicillium citrinum, Aspergillus niger, Phialophora and Trichoderma. In the other 45 samples, 18 samples were positive for PCR amplification and sent for subsequent ITS sequencing. A total of 518 703 valid reads were generated and assigned into 467 operational taxonomic units. Overall, 4 phyla and 94 genera were identified. Two phyla, Basidiomycota (78.67%) and Ascomycota (19.54%), and five genera, Malassezia (74.65%), Rhodotorula (1.93%), Davidiella (1.89%), Aspergillus (1.25%) and Alternaria (0.61%), which accounted for >80% of the fungal microbiome and presented in >80% of the individuals tested, constituted the possible 'core fungal taxa' on normal ocular surface.
CONCLUSIONS: The fungal microbiome on normal ocular surface of humans was identified using the high-throughput sequencing method, providing a basis for further investigations on the potential role of the fungal microbiota in ocular health and disease.
Copyright © 2019 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Fungal microbiota; Human; Internal transcribed spacer sequencing; Mycobiome; Ocular surface

Mesh:

Substances:

Year:  2019        PMID: 31128284     DOI: 10.1016/j.cmi.2019.05.011

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  8 in total

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Review 2.  Crosstalk between Body Microbiota and the Regulation of Immunity.

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3.  Profiling of Diagnostic Information of and Latent Susceptibility to Bacterial Keratitis From the Perspective of Ocular Bacterial Microbiota.

Authors:  Zhichao Ren; Qing Liu; Wenfeng Li; Xian Wu; Yanling Dong; Yusen Huang
Journal:  Front Cell Infect Microbiol       Date:  2021-05-13       Impact factor: 5.293

4.  Diagnostic information Profiling and Evaluation of Causative Fungi of Fungal Keratitis Using High-throughput Internal Transcribed Spacer Sequencing.

Authors:  Zhichao Ren; Qing Liu; Yuqian Wang; Yanling Dong; Yusen Huang
Journal:  Sci Rep       Date:  2020-02-03       Impact factor: 4.379

5.  Evaluation of the ocular surface mycobiota in clinically normal horses.

Authors:  Mary L Walsh; Courtney Meason-Smith; Carolyn Arnold; Jan S Suchodolski; Erin M Scott
Journal:  PLoS One       Date:  2021-02-04       Impact factor: 3.240

6.  Profiling of the Conjunctival Bacterial Microbiota Reveals the Feasibility of Utilizing a Microbiome-Based Machine Learning Model to Differentially Diagnose Microbial Keratitis and the Core Components of the Conjunctival Bacterial Interaction Network.

Authors:  Zhichao Ren; Wenfeng Li; Qing Liu; Yanling Dong; Yusen Huang
Journal:  Front Cell Infect Microbiol       Date:  2022-04-26       Impact factor: 6.073

Review 7.  Ocular surface microbiota: Ophthalmic infectious disease and probiotics.

Authors:  Ming-Cheng Chiang; Edward Chern
Journal:  Front Microbiol       Date:  2022-08-19       Impact factor: 6.064

8.  Strain heterogeneity, cooccurrence network, taxonomic composition and functional profile of the healthy ocular surface microbiome.

Authors:  Yutong Kang; Shudan Lin; Xueli Ma; Yanlin Che; Yiju Chen; Tian Wan; Die Zhang; Jiao Shao; Jie Xu; Yi Xu; Yongliang Lou; Meiqin Zheng
Journal:  Eye Vis (Lond)       Date:  2021-02-24
  8 in total

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