Back to Search
Start Over
VFG-Chip: A high-throughput qPCR microarray for profiling virulence factor genes from the environment
- Source :
- Environment International, Vol 172, Iss , Pp 107761- (2023)
- Publication Year :
- 2023
- Publisher :
- Elsevier, 2023.
-
Abstract
- As zoonotic pathogens are threatening public health globally, the virulence factor genes (VFGs) they carry underlie latent risk in the environment. However, profiling VFGs in the environment is still in its infancy due to lack of efficient and reliable quantification tools. Here, we developed a novel high-throughput qPCR (HT-qPCR) chip, termed as VFG-Chip, to comprehensively quantify the abundances of targeted VFGs in the environment. A total of 96 VFGs from four bacterial pathogens including Klebsiella pneumoniae, Acinetobacter baumannii, Escherichia coli, and Salmonella enterica were targeted by 120 primer pairs, which were involved in encoding five types of virulence factors (VFs) like toxin, adherence, secretion system, immune evasion/invasion, and iron uptake. The specificity of VFG-Chip was both verified computationally and experimentally, with high identity of amplicon sequencing and melting curves analysis proving its robust capability. The VFG-Chip also displayed high sensitivity (by plasmid serial dilution test) and amplification efficiency averaging 97.7%. We successfully applied the VFG-Chip to profile the distribution of VFGs along a wastewater treatment system with 69 VFGs detected in total. Overall, the VFG-Chip provides a robust tool for comprehensively quantifying VFGs in the environment, and thus provides novel information in assessing the health risks of zoonotic pathogens in the environment.
Details
- Language :
- English
- ISSN :
- 01604120
- Volume :
- 172
- Issue :
- 107761-
- Database :
- Directory of Open Access Journals
- Journal :
- Environment International
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.79077dc4661a4525bb8ae1de696e783e
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.envint.2023.107761