An SNP-based diagnostic method for Brucella S2 vaccine strain infections

BackgroundBrucellosis, a zoonotic bacterial infection caused by Brucella species, exhibits a global distribution. The Brucella S2 vaccine strain is known to cause brucellosis. Current serological antibody assays cannot distinguish between infections caused by the S2 strain and those caused by wild-t...

Full description

Saved in:
Bibliographic Details
Main Authors: Xingya Wang, Xiaowei Tian, Wanyang Li, Yuanchao Yang, Shuai Zhang, Hui Wang, Wanru Geng, Jingbo Zhai
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Veterinary Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fvets.2025.1570220/full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849423181603930112
author Xingya Wang
Xingya Wang
Xiaowei Tian
Xiaowei Tian
Wanyang Li
Yuanchao Yang
Shuai Zhang
Hui Wang
Wanru Geng
Wanru Geng
Jingbo Zhai
Jingbo Zhai
Jingbo Zhai
author_facet Xingya Wang
Xingya Wang
Xiaowei Tian
Xiaowei Tian
Wanyang Li
Yuanchao Yang
Shuai Zhang
Hui Wang
Wanru Geng
Wanru Geng
Jingbo Zhai
Jingbo Zhai
Jingbo Zhai
author_sort Xingya Wang
collection DOAJ
description BackgroundBrucellosis, a zoonotic bacterial infection caused by Brucella species, exhibits a global distribution. The Brucella S2 vaccine strain is known to cause brucellosis. Current serological antibody assays cannot distinguish between infections caused by the S2 strain and those caused by wild-type Brucella.ObjectiveTo develop a diagnostic method capable of specifically detecting S2 vaccine strain infections.MethodsTwo probes were designed targeting single nucleotide polymorphism (SNP) loci upstream of the sugar ABC gene; quantitative polymerase chain reaction (qPCR) and droplet digital polymerase chain reaction (ddPCR) methods were established. The performances of these methods were evaluated. The transient stem-loop structure of the DNA template was predicted, and the impact of probe overlap with the transient stem-loop structure on detection sensitivity was analyzed. Clinical applicability was assessed using 50 blood samples from brucellosis patients.ResultsBoth types of methods demonstrated high specificity. However, MGB-SNPdd showed greater sensitivity than other detection methods. Reduction of overlap between the probe sequence and the transient stem-loop structure enhanced detection sensitivity. In the clinical applicability analysis, ddPCR methods exhibited higher rates of S2 vaccine strain detection compared with qPCR methods.ConclusionSNP-based ddPCR methods demonstrate higher sensitivity than qPCR methods and enable specific detection of brucellosis caused by the S2 vaccine strain. Reduction of probe overlap with the transient stem-loop structure improves detection sensitivity, providing valuable insights for enhanced PCR amplification efficiency.
format Article
id doaj-art-8db2ad1a65244e4f8f33540e8f1e91a6
institution Kabale University
issn 2297-1769
language English
publishDate 2025-06-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Veterinary Science
spelling doaj-art-8db2ad1a65244e4f8f33540e8f1e91a62025-08-20T03:30:44ZengFrontiers Media S.A.Frontiers in Veterinary Science2297-17692025-06-011210.3389/fvets.2025.15702201570220An SNP-based diagnostic method for Brucella S2 vaccine strain infectionsXingya Wang0Xingya Wang1Xiaowei Tian2Xiaowei Tian3Wanyang Li4Yuanchao Yang5Shuai Zhang6Hui Wang7Wanru Geng8Wanru Geng9Jingbo Zhai10Jingbo Zhai11Jingbo Zhai12School of Basic Medical Sciences, Inner Mongolia Minzu University, Tongliao, ChinaDepartment of Laboratory, Hulunbuir Second People’s Hospital, Hulunbuir, ChinaDepartment of Intensive Medicine, Affiliated Hospital of Inner Mongolia Minzu University, Tongliao, ChinaCollege of Clinical Medicine, Inner Mongolia Minzu University, Tongliao, ChinaSchool of Basic Medical Sciences, Inner Mongolia Minzu University, Tongliao, ChinaSchool of Basic Medical Sciences, Inner Mongolia Minzu University, Tongliao, ChinaSchool of Basic Medical Sciences, Inner Mongolia Minzu University, Tongliao, ChinaSchool of Basic Medical Sciences, Inner Mongolia Minzu University, Tongliao, ChinaDepartment of Intensive Medicine, Affiliated Hospital of Inner Mongolia Minzu University, Tongliao, ChinaCollege of Clinical Medicine, Inner Mongolia Minzu University, Tongliao, ChinaSchool of Basic Medical Sciences, Inner Mongolia Minzu University, Tongliao, ChinaKey Laboratory of Zoonose Prevention and Control at Universities of Inner Mongolia Autonomous Region, Tongliao, ChinaBrucellosis Prevention and Treatment Engineering Research Center of Inner Mongolia Autonomous Region, Tongliao, ChinaBackgroundBrucellosis, a zoonotic bacterial infection caused by Brucella species, exhibits a global distribution. The Brucella S2 vaccine strain is known to cause brucellosis. Current serological antibody assays cannot distinguish between infections caused by the S2 strain and those caused by wild-type Brucella.ObjectiveTo develop a diagnostic method capable of specifically detecting S2 vaccine strain infections.MethodsTwo probes were designed targeting single nucleotide polymorphism (SNP) loci upstream of the sugar ABC gene; quantitative polymerase chain reaction (qPCR) and droplet digital polymerase chain reaction (ddPCR) methods were established. The performances of these methods were evaluated. The transient stem-loop structure of the DNA template was predicted, and the impact of probe overlap with the transient stem-loop structure on detection sensitivity was analyzed. Clinical applicability was assessed using 50 blood samples from brucellosis patients.ResultsBoth types of methods demonstrated high specificity. However, MGB-SNPdd showed greater sensitivity than other detection methods. Reduction of overlap between the probe sequence and the transient stem-loop structure enhanced detection sensitivity. In the clinical applicability analysis, ddPCR methods exhibited higher rates of S2 vaccine strain detection compared with qPCR methods.ConclusionSNP-based ddPCR methods demonstrate higher sensitivity than qPCR methods and enable specific detection of brucellosis caused by the S2 vaccine strain. Reduction of probe overlap with the transient stem-loop structure improves detection sensitivity, providing valuable insights for enhanced PCR amplification efficiency.https://www.frontiersin.org/articles/10.3389/fvets.2025.1570220/fullbrucellosis diagnosisBrucella suis S2qPCRdigital PCRnucleic acid secondary structureSNP locus
spellingShingle Xingya Wang
Xingya Wang
Xiaowei Tian
Xiaowei Tian
Wanyang Li
Yuanchao Yang
Shuai Zhang
Hui Wang
Wanru Geng
Wanru Geng
Jingbo Zhai
Jingbo Zhai
Jingbo Zhai
An SNP-based diagnostic method for Brucella S2 vaccine strain infections
Frontiers in Veterinary Science
brucellosis diagnosis
Brucella suis S2
qPCR
digital PCR
nucleic acid secondary structure
SNP locus
title An SNP-based diagnostic method for Brucella S2 vaccine strain infections
title_full An SNP-based diagnostic method for Brucella S2 vaccine strain infections
title_fullStr An SNP-based diagnostic method for Brucella S2 vaccine strain infections
title_full_unstemmed An SNP-based diagnostic method for Brucella S2 vaccine strain infections
title_short An SNP-based diagnostic method for Brucella S2 vaccine strain infections
title_sort snp based diagnostic method for brucella s2 vaccine strain infections
topic brucellosis diagnosis
Brucella suis S2
qPCR
digital PCR
nucleic acid secondary structure
SNP locus
url https://www.frontiersin.org/articles/10.3389/fvets.2025.1570220/full
work_keys_str_mv AT xingyawang ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT xingyawang ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT xiaoweitian ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT xiaoweitian ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT wanyangli ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT yuanchaoyang ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT shuaizhang ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT huiwang ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT wanrugeng ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT wanrugeng ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT jingbozhai ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT jingbozhai ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT jingbozhai ansnpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT xingyawang snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT xingyawang snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT xiaoweitian snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT xiaoweitian snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT wanyangli snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT yuanchaoyang snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT shuaizhang snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT huiwang snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT wanrugeng snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT wanrugeng snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT jingbozhai snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT jingbozhai snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections
AT jingbozhai snpbaseddiagnosticmethodforbrucellas2vaccinestraininfections