Bacterial ocular infections are common. Traditional culture and molecular biological methods have obvious limitations to identify the conjunctival microbiota, while metagenomic studies can avoid the defects of these methods. We used the Illumina high-throughput sequencing technology (MiSeq Illumina Sequencing Platform) to sequence the 16S rDNA V3-V4 hypervariable region of all bacteria in conjunctival swab samples. The operational taxonomic units were obtained from the sequences. The bioinformatic analyses of taxonomy, abundance and alpha diversity were performed. A total of 840 373 high-quality sequencing reads were generated from 31 conjunctival samples. The number of the species operational taxonomic units ranged from 159 to 2042, indicating high microbial diversity. The combined bacterial community was classified into 25 phyla and 526 distinct genera. At the genus level, Corynebacterium (28.22%), Pseudomonas (26.75%), Staphylococcus (5.28%), Acinetobacter (4.74%), Streptococcus (2.85%), Millisia (2.16%), Anaerococcus (1.86%), Finegoldia (1.68%), Simonsiella (1.48%) and Veillonella (1.00%) accounted for over 76% of the microbial community, possibly representing the core genera in normal conjunctival microbiota. The composition and diversity of microbiota in the normal adult human conjunctiva were characterized using high-throughput sequencing. A framework for investigating potential roles played by the diverse microbiota in disease related with the ocular surface was provided.

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Our data provide firm evidence of a role for miR-204-5p in the direct regulation of EMT through its targeting of SMAD4 and, consequently, TGF-β signaling. Because of its ability to repress the EMT, miR-204-5p may be a novel target for PCO therapeutic intervention.