The porcine corneal surface bacterial microbiome: A distinctive niche within the ocular surface

PLoS One. 2021 Feb 19;16(2):e0247392. doi: 10.1371/journal.pone.0247392. eCollection 2021.

Abstract

Purpose: The ocular surface microbiome has been described as paucibacterial. Until now, studies investigating the bacterial community associated with the ocular surface through high-throughput sequencing have focused on the conjunctiva. Conjunctival samples are thought to reflect and be representative of the microbiome residing on the ocular surface, including the cornea. Here, we hypothesized that the bacterial community associated with the corneal surface was different from those of the inferonasal and superotemporal conjunctival fornices, and from the tear film.

Methods: Both eyes from 15 healthy piglets were sampled using swabs (inferonasal fornix, superotemporal fornix, and corneal surface, n = 30 each) and Schirmer tear test strips (STT, n = 30). Negative sampling controls (swabs and STT, n = 2 each) and extraction controls (n = 4) were included. Total DNA was extracted and high-throughput sequencing targeting the 16S rRNA gene was performed. Bioinformatic analyses included multiple contamination-controlling steps.

Results: Corneal surface samples had a significantly lower number of taxa detected (P<0.01) and were compositionally different from all other sample types (Bray-Curtis dissimilarity, P<0.04). It also harbored higher levels of Proteobacteria (P<0.05), specifically Brevundimonas spp. (4.1-fold) and Paracoccus spp. (3.4-fold) than other sample types. Negative control STT strip samples yielded the highest amount of 16S rRNA gene copies across all sample types (P<0.05).

Conclusions: Our data suggests that the corneal surface provides a distinct environmental niche within the ocular surface, leading to a bacterial community compositionally different from all other sample types.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bacteria / classification*
  • Bacteria / genetics
  • Bacteria / isolation & purification
  • Computational Biology / methods
  • Cornea / microbiology*
  • DNA, Bacterial / genetics
  • DNA, Ribosomal / genetics
  • High-Throughput Nucleotide Sequencing
  • Microbiota
  • Models, Biological
  • Phylogeny
  • RNA, Ribosomal, 16S / genetics*
  • Sequence Analysis, DNA / methods*
  • Swine

Substances

  • DNA, Bacterial
  • DNA, Ribosomal
  • RNA, Ribosomal, 16S

Grants and funding

This study received funding from the department of Veterinary Clinical Sciences (VCS) at the University of Minnesota (UMN).