Development of a reference data set for assigning Streptococcus and Enterococcus species based on next generation sequencing of the 16S-23S rRNA region.

Maja Kosecka-StrojekArtur J SabatViktoria AkkerboomAnna M D Mirjam Kooistra-SmidJacek MiedzobrodzkiAlexander W Friedrich

Published in: Antimicrobial resistance and infection control (2019)

Based on the developed reference dataset, clinically relevant streptococcal and enterococcal species can now be reliably identified by 16S-23S rRNA sequences in samples. This study will be useful for introduction of a novel diagnostic tool, NGS of the 16S-23S rRNA region, which undoubtedly is an improvement for reliable culture-independent species identification directly from polymicrobially constituted clinical samples.

Keyphrases

genetic diversity
biofilm formation
candida albicans
machine learning
pseudomonas aeruginosa
copy number
escherichia coli
big data
data analysis