Assessment of <italic toggle="yes">In Vitro</italic> and <italic toggle="yes">In Silico</italic> Protocols for Sequence-Based Characterization of the Human Vaginal Microbiome
Luisa W. Hugerth,
Marcela Pereira,
Yinghua Zha,
Maike Seifert,
Vilde Kaldhusdal,
Fredrik Boulund,
Maria C. Krog,
Zahra Bashir,
Marica Hamsten,
Emma Fransson,
Henriette Svarre Nielsen,
Ina Schuppe-Koistinen,
Lars Engstrand
Affiliations
Luisa W. Hugerth
Centre for Translational Microbiome Research, Department of Microbiology, Tumour and Cell Biology, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
Marcela Pereira
Centre for Translational Microbiome Research, Department of Microbiology, Tumour and Cell Biology, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
Yinghua Zha
Centre for Translational Microbiome Research, Department of Microbiology, Tumour and Cell Biology, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
Maike Seifert
Centre for Translational Microbiome Research, Department of Microbiology, Tumour and Cell Biology, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
Vilde Kaldhusdal
Department of Medicine Solna, Division of Infectious Diseases, Karolinska University Hospital, Center for Molecular Medicine, Karolinska Institutet, Solna, Sweden
Fredrik Boulund
Centre for Translational Microbiome Research, Department of Microbiology, Tumour and Cell Biology, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
Maria C. Krog
The Recurrent Pregnancy Loss Unit, Capital Region of Denmark, Rigshospitalet and Hvidovre Hospital, Copenhagen, Denmark
Zahra Bashir
The Recurrent Pregnancy Loss Unit, Capital Region of Denmark, Rigshospitalet and Hvidovre Hospital, Copenhagen, Denmark
Marica Hamsten
Centre for Translational Microbiome Research, Department of Microbiology, Tumour and Cell Biology, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
Emma Fransson
Centre for Translational Microbiome Research, Department of Microbiology, Tumour and Cell Biology, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
Henriette Svarre Nielsen
The Recurrent Pregnancy Loss Unit, Capital Region of Denmark, Rigshospitalet and Hvidovre Hospital, Copenhagen, Denmark
Ina Schuppe-Koistinen
Centre for Translational Microbiome Research, Department of Microbiology, Tumour and Cell Biology, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
Lars Engstrand
Centre for Translational Microbiome Research, Department of Microbiology, Tumour and Cell Biology, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
ABSTRACT The vaginal microbiome has been connected to a wide range of health outcomes. This has led to a thriving research environment but also to the use of conflicting methodologies to study its microbial composition. Here, we systematically assessed best practices for the sequencing-based characterization of the human vaginal microbiome. As far as 16S rRNA gene sequencing is concerned, the V1-V3 region performed best in silico, but limitations of current sequencing technologies meant that the V3-V4 region performed equally well. Both approaches presented very good agreement with qPCR quantification of key taxa, provided that an appropriate bioinformatic pipeline was used. Shotgun metagenomic sequencing presents an interesting alternative to 16S rRNA gene amplification and sequencing but requires deeper sequencing and more bioinformatic expertise and infrastructure. We assessed different tools for the removal of host reads and the taxonomic annotation of metagenomic reads, including a new, easy-to-build and -use reference database of vaginal taxa. This curated database performed as well as the best-performing previously published strategies. Despite the many advantages of shotgun sequencing, none of the shotgun approaches assessed here agreed with the qPCR data as well as the 16S rRNA gene sequencing. IMPORTANCE The vaginal microbiome has been connected to various aspects of host health, including susceptibility to sexually transmitted infections as well as gynecological cancers and pregnancy outcomes. This has led to a thriving research environment but also to conflicting available methodologies, including many studies that do not report their molecular biological and bioinformatic methods in sufficient detail to be considered reproducible. This can lead to conflicting messages and delay progress from descriptive to intervention studies. By systematically assessing best practices for the characterization of the human vaginal microbiome, this study will enable past studies to be assessed more critically and assist future studies in the selection of appropriate methods for their specific research questions.