Detecting and quantifying Veillonella by real-time quantitative PCR and droplet digital PCR

© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature..

Veillonella spp. are Gram-negative opportunistic pathogens present in the respiratory, digestive, and reproductive tracts of mammals. An abnormal increase in Veillonella relative abundance in the body is closely associated with periodontitis, inflammatory bowel disease, urinary tract infections, and many other diseases. We designed a pair of primers and a probe based on the 16S rRNA gene sequences of Veillonella and conducted real-time quantitative PCR (qPCR) and droplet digital PCR (ddPCR) to quantify the abundance of Veillonella in fecal samples. These two methods were tested for specificity and sensitivity using simulated clinical samples. The sensitivity of qPCR was 100 copies/μL, allowing for the accurate detection of a wide range of Veillonella concentrations from 103 to 108 CFU/mL. The sensitivity of ddPCR was 11.3 copies/μL, only allowing for the accurate detection of Veillonella concentrations from 101 to 104 CFU/mL because of the limited number of droplets generated by ddPCR. ddPCR is therefore more suitable for the detection of low-abundance Veillonella samples. To characterize the validity of the assay system, clinical samples from children with inflammatory bowel disease were collected and analyzed, and the results were verified using isolation methods. We conclude that molecular assays targeting the 16S rRNA gene provides an important tool for the rapid diagnosis of chronic and infectious diseases caused by Veillonella and also supports the isolation and identification of Veillonella for research purposes. KEY POINTS: • With suitable primer sets, the qPCR has a wider detection range than ddPCR. • ddPCR is suitable for the detection of low-abundance samples. • Methods successfully guided the isolation of Veillonella in clinical sample.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:108

Enthalten in:

Applied microbiology and biotechnology - 108(2024), 1 vom: 17. Jan., Seite 45

Sprache:

Englisch

Beteiligte Personen:

Ding, Zanbo [VerfasserIn]
Cui, Jinghua [VerfasserIn]
Zhang, Qun [VerfasserIn]
Feng, Junxia [VerfasserIn]
Du, Bing [VerfasserIn]
Xue, Guanhua [VerfasserIn]
Yan, Chao [VerfasserIn]
Gan, Lin [VerfasserIn]
Fan, Zheng [VerfasserIn]
Feng, Yanling [VerfasserIn]
Zhao, Hanqing [VerfasserIn]
Xu, Ziying [VerfasserIn]
Yu, Zihui [VerfasserIn]
Fu, Tongtong [VerfasserIn]
Zhang, Rui [VerfasserIn]
Cui, Xiaohu [VerfasserIn]
Tian, Ziyan [VerfasserIn]
Chen, Jinfeng [VerfasserIn]
Chen, Yujie [VerfasserIn]
Li, Zhoufei [VerfasserIn]
Zhong, Xuemei [VerfasserIn]
Lin, Yanbing [VerfasserIn]
Yuan, Jing [VerfasserIn]

Links:

Volltext

Themen:

Droplet digital PCR
Inflammatory bowel disease
Journal Article
Quantitative detection
RNA, Ribosomal, 16S
Real-time quantitative PCR
Veillonella

Anmerkungen:

Date Completed 10.01.2024

Date Revised 17.01.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1007/s00253-023-12861-1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM366658603