Evaluation of DNA extraction protocols from liquid-based cytology specimens for studying cervical microbiota [article]

Takeo Shibata, Mayumi Nakagawa, Hannah N Coleman, Sarah M Owens, William W Greenfield, Toshiyuki Sasagawa, Michael S Robeson
2020 bioRxiv   pre-print
Cervical microbiota (CM) are considered an important factor affecting the progression of cervical intraepithelial neoplasia (CIN) and are implicated in the persistence of human papillomavirus (HPV). Collection of liquid-based cytology (LBC) samples is routine for cervical cancer screening and HPV genotyping, and can be used for long-term cytological biobanking. Herein, we investigate the feasibility of leveraging LBC specimens for use in CM surveys by amplicon sequencing. As methodological
more » ... rences in DNA extraction protocols can potentially bias the composition of microbiota, we set out to determine the performance of four commonly used DNA extraction kits (ZymoBIOMICS DNA Miniprep Kit; QIAamp PowerFecal Pro DNA Kit; QIAamp DNA Mini Kit; and IndiSpin Pathogen Kit) and their ability to capture the diversity of CM from LBC specimens. LBC specimens from 20 patients (stored for 716 ± 105 days) with cervical intraepithelial neoplasia (CIN) 2/3 or suspected CIN2/3 were each aliquoted for extraction by each of the four kits. We observed that, regardless of the extraction protocol used, all kits provided equivalent accessibility to the cervical microbiome, with some minor differences. For example, the ZymoBIOMICS kit appeared to differentially increase access of several more microbiota compared to the other kits. Potential kit contaminants were observed as well. Approximately 80% microbial genera were shared among all DNA extraction protocols. The variance of microbial composition per individual was larger than that of the DNA extraction protocol used. We also observed that HPV16 infection was significantly associated with community types that were not dominated by Lactobacillus iners.
doi:10.1101/2020.01.27.921619 fatcat:i2oo4d2o7nhzvprp7mouh3aplm