Groundwater near a sulfuric acid plant in Xingyang, Henan, China was sampled from seven distinct sites to explore the prevalence of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs). Results showed that genes aadA, bla CTX-M , tetA, qnrA, and sul1 were detected with 100% frequency followed by aac(6')-Ib (85.71%), ermB (85.71%), and tetX (71.42%). Most abundant ARGs were sul1 in LSA2 (1.15 × 10 11 copies/mL), tetA in LSA6 (4.95 × 10 10 copies/mL), aadA in LSA2 (4.56 × 10 9 copies/mL), bla CTX-M in LSA4 (1.19 × 10 9 copies/mL), and ermB in LSA5 (1.07 × 10 9 copies/mL). Moreover, in LSA2, intl1 as a marker of class 1 integron emerged as the most abundant gene as part of MGE (2.25 × 10 11 copies/mL), trailed by ISCR1 (1.57 × 10 9 copies/mL). Environmental factors explained 81.34% of ARG variations, with a strong positive correlation between the intl2 and bla CTX-M genes, as well as the ISCR1 gene and qnrA, tetA, intl2, and bla CTX-M . Furthermore, the intI1 gene had a strong positive connection with the aadA, tetA, and sul1 genes. Moreover, the aac(6')-Ib gene was associated with As, Pb, Mg, Ca, and HCO3-. The intl2 gene was also shown to be strongly associated with Cd. Notably, network analysis highlighted bla CTX-M as the most frequently appearing gene across networks of at least five genera. Particularly, Lactobacillus, Plesiomonas, and Ligilactobacillus demonstrated correlations with aadA, qnrA, bla CTX-M , intI2, and ISCR1. Based on 16S rRNA sequencing, the dominant phyla were Proteobacteria, Firmicutes, Bacteroidota, Acidobacteriota, and Actinobacteriota, with dominant genera including Pseudomonas, Ligilactobacillus, Azoarcus, Vogesella, Streptococcus, Plesiomonas, and Ferritrophicum. These findings enhance our understanding of ARG distribution in groundwater, signaling substantial contamination by ARGs and potential risks to public health.
Keyphrases
- klebsiella pneumoniae
- genome wide
- genome wide identification
- antibiotic resistance genes
- copy number
- public health
- multidrug resistant
- human health
- genome wide analysis
- dna methylation
- heavy metals
- health risk
- microbial community
- network analysis
- transcription factor
- staphylococcus aureus
- gene expression
- climate change
- biofilm formation
- pseudomonas aeruginosa
- single cell
- cell wall