Development of a droplet digital PCR method for detection of Streptococcus agalactiae

Autor: Yi-Fan Zeng, Chu-Mao Chen, Xiao-Yan Li, Jun-Jiang Chen, Yan-Ge Wang, Shi Ouyang, Tian-Xing Ji, Yong Xia, Xu-Guang Guo
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: BMC Microbiology, Vol 20, Iss 1, Pp 1-6 (2020)
Druh dokumentu: article
ISSN: 1471-2180
DOI: 10.1186/s12866-020-01857-w
Popis: Abstract Background Streptococcus agalactiae (GBS) is the causative pathogen of puerperal sepsis in pregnant women and pneumonia, sepsis and meningitis in infants. Infection of GBS is responsible for the increased morbidity in pregnant women and the elderly, and bring challenges to clinical diagnosis and treatment. However, culture-based approaches to detect S.agalactiae is time-consuming with limited sensitivity. Besides, real-time quantitative PCR demands expensive instruments with tedious steps. Thus, we aim to establish a new detection method for more accurate and rapid detection of S.agalactiae. Results The ddPCR primer targeted the CpsE gene showed better amplified efficiency in the reaction. The limit of detection for GBS DNA with ddPCR was able to reach 5 pg/μL. Moreover, no positive amplified signals could be detected in the reactions which served 11 non-GBS strains DNA as templates. Furthermore, the coefficient of variation of this method was 4.5%, indicating excellent repeatability of ddPCR assay. Conclusions In our study, ddPCR was performed as a rapid detection of S.agalactiae with high sensitivity and specificity. This technique can promote the accuracy of the diagnosis of GBS infection and provide a scientific basis for clinical treatment.
Databáze: Directory of Open Access Journals
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