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Comparative analysis of ocular surface tissue microbiome in human, mouse, rabbit, and guinea pig.

Authors :
Ozkan J
Majzoub ME
Coroneo M
Thomas T
Willcox M
Source :
Experimental eye research [Exp Eye Res] 2021 Jun; Vol. 207, pp. 108609. Date of Electronic Publication: 2021 Apr 28.
Publication Year :
2021

Abstract

Animal models are a critical element of ocular surface research for investigating therapeutic drops, surgical implants, and infection research. This study was a comparative analysis of the microbial communities on conjunctival tissue samples from humans compared to several commonly used laboratory animals (BALB/c mice, New Zealand white rabbits and IMVS colored stock guinea pigs). Microbial communities were analyzed by extracting total DNA from conjunctival tissue and sequencing the 16 S rRNA gene using the Illumina MiSeq platform. Sequences were quality filtered using the UNOISE pipeline in USEARCH and taxonomically classified using GTDB database. Sequences associated with blank extraction and sampling negative controls were removed with the decontam R software package prior to downstream analysis. There was a difference in the diversity measures of richness (P = 0.0124) and Shannon index (P = 0.0002) between humans and rabbits but not between human, mouse and guinea pigs. There was a difference between the human and any animal for bacterial community structure (P = 0.006). There was a higher degree of similarity between the bacterial composition of the human and mouse samples with each dominated by the phyla Proteobacteria and Firmicutes. The use of mouse models may be more appropriate for studies investigating changes to the ocular microbiome due to interventions such as application of antibiotics due to greater similarities in bacterial community structure and composition to humans.<br /> (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1096-0007
Volume :
207
Database :
MEDLINE
Journal :
Experimental eye research
Publication Type :
Academic Journal
Accession number :
33932398
Full Text :
https://doi.org/10.1016/j.exer.2021.108609