Metagenomic analysis to identify the causative agents of atypical urogenital tract infections

Background. Research in recent decades has shown that classical microbiological methods can only detect a small, cultivable portion of microorganisms. One of the modern approaches to detect a wide range of bacteria and archaea is presented as a type of metagenomic analysis performed by high-throughp...

Full description

Bibliographic Details
Main Author: D. S. Kutilin
Format: Article
Language:Russian
Published: Sankt-Peterburg : NIIÈM imeni Pastera 2022-01-01
Series:Инфекция и иммунитет
Subjects:
Online Access:https://www.iimmun.ru/iimm/article/view/1713
_version_ 1797971311516975104
author D. S. Kutilin
author_facet D. S. Kutilin
author_sort D. S. Kutilin
collection DOAJ
description Background. Research in recent decades has shown that classical microbiological methods can only detect a small, cultivable portion of microorganisms. One of the modern approaches to detect a wide range of bacteria and archaea is presented as a type of metagenomic analysis performed by high-throughput sequencing of ribosomal operon fragment libraries. Objective is to conduct metagenomic analysis of samples from the urogenital tract of patients with chronic inflammation to identify pathogens not detected by other methods. Methods. Taxonomic analysis of the bacterial community was performed by high-throughput sequencing of the V3–V4 hypervariable region of the 16S rRNA gene by using the Illumina HiSeq 3000 platform. Results. The study allowed to identify the taxonomic diversity of microorganisms in samples from the urogenital tract (from 197 to 794 different microorganisms belonging to the Bacteria were identified), as well as to establish differential differences concerning members of the genera Megasphaera, Prevotella, Veillonella, Pedobacter, Mobiluncus, Phobormidium, Sphing Temperatibacter, Oxobacter, Georgenia, Actinobaculum, Varibaculum, Mycobacterium, Rhodococcus, Sediminihabitans, Actinobacter, Actinoplanes, Spirochaeta, Enhydrobacter, Thermacetogenium, Bdellovibrio, Oleibacter, Porphyromonas, Klebsiella, Lachnoclostridium, Caulobacter, Xanthomonas, Novispirillum, Marvinbryantia, Afipia, Shinella, Tepidimonas, Faecalibacterium, Paludibacterium, Aerococcus, Campylobacter, Pasteurella, Rumen, Psychrobacter, Haemophilus, Brevibacillus, Sporosarcina, Yaniella and Lactobacillus between samples from patients with chronic inflammation and apparently healthy individuals. Conclusion. Differential differences were found in the composition of the microbiome from the samples of patients with chronic inflammation and apparently healthy individuals, concerning members of 44 genera, including Megasphaera, Prevotella, Veillonella, Pedobacter, Mobiluncus, Phormidium and Lactobacillus. The inflammatory processes observed in the patient urogenital tract can be associated with imbalanced microflora such as decreased level of typical members of the genera Staphylococcus, Streptococcus and Lactobacillus, but increased number of members from of the genera Klebsiella and Citrobacter.
first_indexed 2024-04-11T03:30:37Z
format Article
id doaj.art-d9f820a69c674f5793367c1b4601a182
institution Directory Open Access Journal
issn 2220-7619
2313-7398
language Russian
last_indexed 2024-04-11T03:30:37Z
publishDate 2022-01-01
publisher Sankt-Peterburg : NIIÈM imeni Pastera
record_format Article
series Инфекция и иммунитет
spelling doaj.art-d9f820a69c674f5793367c1b4601a1822023-01-02T06:38:27ZrusSankt-Peterburg : NIIÈM imeni PasteraИнфекция и иммунитет2220-76192313-73982022-01-011161108112210.15789/2220-7619-MAT-17131050Metagenomic analysis to identify the causative agents of atypical urogenital tract infectionsD. S. Kutilin0National Medical Research Oncology Center, Rostov-on-Don, Russian FederationBackground. Research in recent decades has shown that classical microbiological methods can only detect a small, cultivable portion of microorganisms. One of the modern approaches to detect a wide range of bacteria and archaea is presented as a type of metagenomic analysis performed by high-throughput sequencing of ribosomal operon fragment libraries. Objective is to conduct metagenomic analysis of samples from the urogenital tract of patients with chronic inflammation to identify pathogens not detected by other methods. Methods. Taxonomic analysis of the bacterial community was performed by high-throughput sequencing of the V3–V4 hypervariable region of the 16S rRNA gene by using the Illumina HiSeq 3000 platform. Results. The study allowed to identify the taxonomic diversity of microorganisms in samples from the urogenital tract (from 197 to 794 different microorganisms belonging to the Bacteria were identified), as well as to establish differential differences concerning members of the genera Megasphaera, Prevotella, Veillonella, Pedobacter, Mobiluncus, Phobormidium, Sphing Temperatibacter, Oxobacter, Georgenia, Actinobaculum, Varibaculum, Mycobacterium, Rhodococcus, Sediminihabitans, Actinobacter, Actinoplanes, Spirochaeta, Enhydrobacter, Thermacetogenium, Bdellovibrio, Oleibacter, Porphyromonas, Klebsiella, Lachnoclostridium, Caulobacter, Xanthomonas, Novispirillum, Marvinbryantia, Afipia, Shinella, Tepidimonas, Faecalibacterium, Paludibacterium, Aerococcus, Campylobacter, Pasteurella, Rumen, Psychrobacter, Haemophilus, Brevibacillus, Sporosarcina, Yaniella and Lactobacillus between samples from patients with chronic inflammation and apparently healthy individuals. Conclusion. Differential differences were found in the composition of the microbiome from the samples of patients with chronic inflammation and apparently healthy individuals, concerning members of 44 genera, including Megasphaera, Prevotella, Veillonella, Pedobacter, Mobiluncus, Phormidium and Lactobacillus. The inflammatory processes observed in the patient urogenital tract can be associated with imbalanced microflora such as decreased level of typical members of the genera Staphylococcus, Streptococcus and Lactobacillus, but increased number of members from of the genera Klebsiella and Citrobacter.https://www.iimmun.ru/iimm/article/view/1713urogenital tractinfectionschronic inflammationhigh-throughput sequencing16s rrnadiscriminant analysis
spellingShingle D. S. Kutilin
Metagenomic analysis to identify the causative agents of atypical urogenital tract infections
Инфекция и иммунитет
urogenital tract
infections
chronic inflammation
high-throughput sequencing
16s rrna
discriminant analysis
title Metagenomic analysis to identify the causative agents of atypical urogenital tract infections
title_full Metagenomic analysis to identify the causative agents of atypical urogenital tract infections
title_fullStr Metagenomic analysis to identify the causative agents of atypical urogenital tract infections
title_full_unstemmed Metagenomic analysis to identify the causative agents of atypical urogenital tract infections
title_short Metagenomic analysis to identify the causative agents of atypical urogenital tract infections
title_sort metagenomic analysis to identify the causative agents of atypical urogenital tract infections
topic urogenital tract
infections
chronic inflammation
high-throughput sequencing
16s rrna
discriminant analysis
url https://www.iimmun.ru/iimm/article/view/1713
work_keys_str_mv AT dskutilin metagenomicanalysistoidentifythecausativeagentsofatypicalurogenitaltractinfections