Choice of 16S Ribosomal RNA Primers Impacts Male Urinary Microbiota Profiling.

Autor:	Heidrich V; Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo, Brazil.; Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil., Inoue LT; Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo, Brazil., Asprino PF; Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo, Brazil., Bettoni F; Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo, Brazil., Mariotti ACH; Instituto de Ensino e Pesquisa, Hospital Sírio-Libanês, São Paulo, Brazil., Bastos DA; Centro de Oncologia, Hospital Sírio-Libanês, São Paulo, Brazil., Jardim DLF; Centro de Oncologia, Hospital Sírio-Libanês, São Paulo, Brazil., Arap MA; Departamento de Urologia, Hospital Sírio-Libanês, São Paulo, Brazil., Camargo AA; Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo, Brazil.
Jazyk:	angličtina
Zdroj:	Frontiers in cellular and infection microbiology [Front Cell Infect Microbiol] 2022 Apr 21; Vol. 12, pp. 862338. Date of Electronic Publication: 2022 Apr 21 (Print Publication: 2022).
DOI:	10.3389/fcimb.2022.862338
Abstrakt:	Accessibility to next-generation sequencing (NGS) technologies has enabled the profiling of microbial communities living in distinct habitats. 16S ribosomal RNA (rRNA) gene sequencing is widely used for microbiota profiling with NGS technologies. Since most used NGS platforms generate short reads, sequencing the full-length 16S rRNA gene is impractical. Therefore, choosing which 16S rRNA hypervariable region to sequence is critical in microbiota profiling studies. All nine 16S rRNA hypervariable regions are taxonomically informative, but due to variability in profiling performance for specific clades, choosing the ideal 16S rRNA hypervariable region will depend on the bacterial composition of the habitat under study. Recently, NGS allowed the identification of microbes in the urinary tract, and urinary microbiota has become an active research area. However, there is no current study evaluating the performance of different 16S rRNA hypervariable regions for male urinary microbiota profiling. We collected urine samples from male volunteers and profiled their urinary microbiota by sequencing a panel of six amplicons encompassing all nine 16S rRNA hypervariable regions. Systematic comparisons of their performance indicate V1V2 hypervariable regions better assess the taxa commonly present in male urine samples, suggesting V1V2 amplicon sequencing is more suitable for male urinary microbiota profiling. We believe our results will be helpful to guide this crucial methodological choice in future male urinary microbiota studies. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Heidrich, Inoue, Asprino, Bettoni, Mariotti, Bastos, Jardim, Arap and Camargo.)
Databáze:	MEDLINE
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