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Experience of applying the metagenomic sequencing method on fragments of the 16S rRNA gene for the detection and identification of natural focal infection pathogens

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1. Title Title of document Experience of applying the metagenomic sequencing method on fragments of the 16S rRNA gene for the detection and identification of natural focal infection pathogens
2. Creator Author's name, affiliation, country Oksana V. Vasilieva; Stavropol Plague Control Research Institute; Россия
2. Creator Author's name, affiliation, country Diana V. Ul’shina; Stavropol Plague Control Research Institute; Россия
2. Creator Author's name, affiliation, country Anna S. Volynkina; Stavropol Plague Control Research Institute; Россия
2. Creator Author's name, affiliation, country Sergey V. Pisarenko; Stavropol Plague Control Research Institute; Россия
2. Creator Author's name, affiliation, country Yulia V. Siritsa; Stavropol Plague Control Research Institute; Россия
2. Creator Author's name, affiliation, country Olga A. Gnusareva; Stavropol Plague Control Research Institute; Россия
2. Creator Author's name, affiliation, country Natalia A. Yatsenkо; Regional Specialized Clinical Infectious Diseases Hospital; Россия
2. Creator Author's name, affiliation, country Alexandr N. Kulichenko; Stavropol Plague Control Research Institute; Россия
3. Subject Discipline(s)
3. Subject Keyword(s) metagenomic sequencing; 16S rRNA; natural focal infections; detection; identification; microbiome
4. Description Abstract

Introduction. Metagenomic sequencing is one of the most promising methods for both the detection and identification of natural focal infection (NFI) pathogens and for determining the species composition of various bacterial communities.

The aim is to detect and identify the NFI pathogens in samples of field and clinical material using metagenomic sequencing of 16S rRNA gene fragments, and to analyze the taxonomic composition of endosymbiotic microorganisms in the samples.

Materials and methods. Samples of field (14 samples) and clinical (2 samples) material with varying loads of DNA from NFI pathogens, determined by PCR (Borrelia burgdorferi sensu lato, Anaplasma phagocytophilum, Francisella tularensis, Rickettsia spp., Coxiella burnetii), were investigated. Amplification of fragments of the gene encoding 16S rRNA was performed using primers flanking the variable regions of the gene.

Results. In 14 out of 16 studied samples, target NFI pathogens were detected. The species identified included R. aeschlimannii (in 57.1% of positive samples), B. valaisiana (in 16.6%), F. tularensis (in 75%), C. burnetii (in 100%), and borreliae — pathogens of relapsing fevers (B. turcica, B. hispanica) were also found in one sample. The taxonomic structure of the microbiome of Ixodes ricinus, Dermacentor reticulatus, Rhipicephalus annulatus, Hyalomma aegyptium, Dermacentor marginatus ticks collected in the southern regions of the Russian Federation was studied. It was shown that the predominant microorganisms are representatives of the genera Flavobacterium, Pseudomonas, Serratia, Aeromonas, Pedobacter, Bradyrhizobium, Shingomonas. DNA markers of microorganisms — endosymbionts of ticks Candidatus Midichloria mitochondrii, representatives of the genera Rickettsiella, Coxiella, non-pathogenic and conditionally pathogenic species of the genus Francisella were found in pools of Ixodes ticks.

Conclusion. The effectiveness of the method of metagenomic sequencing of fragments of the 16S rRNA gene for the detection and identification of NFI pathogens in samples of clinical and field material was demonstrated. Metagenomic sequencing of 16S rRNA gene regions can be recommended as an additional laboratory method for detecting and identifying NFI pathogens.

5. Publisher Organizing agency, location Central Research Institute for Epidemiology
6. Contributor Sponsor(s)
7. Date (DD-MM-YYYY) 12.05.2025
8. Type Status & genre Peer-reviewed Article
8. Type Type Research Article
9. Format File format
10. Identifier Uniform Resource Identifier https://microbiol.crie.ru/jour/article/view/18828
10. Identifier Digital Object Identifier (DOI) 10.36233/0372-9311-629
10. Identifier eLIBRARY Document Number (EDN) KNLRDI
11. Source Title; vol., no. (year) Journal of microbiology, epidemiology and immunobiology; Vol 102, No 2 (2025)
12. Language English=en en
13. Relation Supp. Files Fig. 1. Histogram showing the result of MGS data quality assessment by 16S rRNA gene regions. The color of the sectors in the histogram reflects the number of reads for each sample that passed quality filtering (in %, top). For a color version of the figure, see the journal website. (337KB)
Fig. 2. Taxonomic composition of microbiomes of ixodid ticks (sample numbers are indicated by numbers). Due to the availability of a large amount of data, only the most represented taxa are marked with color markers. For a color version of the figure, see the journal’s website (797KB)
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
15. Rights Copyright and permissions Copyright (c) 2025 Vasilieva O.V., Ul’shina D.V., Volynkina A.S., Pisarenko S.V., Siritsa Y.V., Gnusareva O.A., Yatsenkо N.A., Kulichenko A.N.
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