Title
Automated 16S Sequencing Using an R-Based Analysis Module for Bacterial Identification
Date Issued
01 April 2022
Access level
open access
Resource Type
journal article
Author(s)
Locher K.
Belanger C.R.
Eckbo E.
Caza M.
Charles M.K.
Vancouver Coastal Health
Publisher(s)
American Society for Microbiology
Abstract
Sanger sequencing of the 16S rRNA gene is routinely used for the identification of bacterial isolates. However, this method is still performed mostly in more-specialized reference laboratories, and traditional protocols can be labor intensive. In this study, 99 clinical bacterial isolates were used to validate a fast, simplified, and largely automated protocol for 16S sequencing. The workflow combines real-time PCR of the first 500 bp of the bacterial 16S rRNA gene and amplicon sequencing on an automated, cartridge-based sequence analyzer. Sequence analysis, NCBI BLAST search, and result interpretation were performed using an automated R-based script. The automated workflow and R analysis described here produced results equal to those of manual sequence analysis. Of the 96 sequences with adequate quality, 90 were concordantly identified to the genus (n = 62) or species level (n = 28) compared with routine laboratory identification of the organism. One organism identification was discordant, and 5 resulted in an inconclusive identification. For sequences that gave a valid result, the overall accuracy of identification to at least the genus level was 98.9%. This simplified sequencing protocol provides a standardized approach to clinical 16S sequencing, analysis, and quality control that would be suited to frontline clinical microbiology laboratories with minimal experience.
Volume
10
Issue
2
Language
English
OCDE Knowledge area
Biología celular, Microbiología
Scopus EID
2-s2.0-85129307491
PubMed ID
Source
Microbiology Spectrum
Sources of information: Directorio de Producción Científica Scopus