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Initial description of the core ocular surface microbiome in dogs: Bacterial community diversity and composition in a defined canine population
Author(s) -
Leis Marina L.,
Costa Matheus O.
Publication year - 2019
Publication title -
veterinary ophthalmology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.594
H-Index - 50
eISSN - 1463-5224
pISSN - 1463-5216
DOI - 10.1111/vop.12599
Subject(s) - firmicutes , bacteroidetes , lachnospiraceae , biology , proteobacteria , microbiome , moraxella , actinobacteria , 16s ribosomal rna , population , metagenomics , zoology , genetics , bacteria , medicine , gene , environmental health
Abstract Objective To characterize the bacterial community residing on the conjunctiva of clinically healthy dogs. Methods Bacterial DNA from conjunctival swabs of 10 dogs with normal ocular examinations (both OD and OS , n = 20) was extracted, and 16S rRNA amplicons were sequenced using Illumina MiSeq 600. Resulting data were subjected to quality control steps, and analyzed for bacterial community richness and diversity, within‐ and between‐group dissimilarity, and relative taxonomic composition. Results High‐quality reads (2.22 million bp) resulted in a mean of 159 068 sequences per sample. Bacterial community evenness and diversity was high when compared to other species, and did not significantly differ when samples were grouped by dogs or eyes. As expected, within‐dog samples were more similar than between‐dog samples. Taxonomic classification revealed that >95% of the community consisted of Firmicutes (34.9 ± 8.8%), Actinobacteria (26.3 ± 7.1%), Proteobacteria (26.2 ± 6.6%), and Bacteroidetes (9.4 ± 2.4%). Key members of the dog ocular surface microbiome, found in all dogs and corresponding to >25% of all identified OTU s (operational taxonomic units), were part of the Bifidobacteriaceae, Lachnospiraceae, Moraxellaceae, Corynebacteriaceae families. Genera previously thought to account for the majority of the core ocular surface microbiome in the dog ( Staphylococcus sp., Streptococcus sp., and Bacillus sp.) were associated with only 2.63% of overall reads. Conclusions This study shows the feasibility of conjunctival swabs and high‐throughput sequencing to profile the bacterial community structure of the canine ocular surface. A core ocular surface microbiome was identified for this canine population.