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Exploring antibiotic resistance genes, mobile gene elements, and virulence gene factors in an urban freshwater samples using metagenomic analysis.
Noman, Sohail M; Shafiq, Muhammad; Bibi, Shabana; Mittal, Bharti; Yuan, Yumeng; Zeng, Mi; Li, Xin; Olawale, Oluwaseyi Abraham; Jiao, Xiaoyang; Irshad, Muhammad.
Affiliation
  • Noman SM; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, Guangdong, China.
  • Shafiq M; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, Guangdong, China.
  • Bibi S; Department of Biosciences, Shifa Tameer-E-Milat University, Islamabad, 43600, Pakistan.
  • Mittal B; Department of Herbal Laboratory, College of Ecology and Environmental Sciences, Yunnan University, Yunnan, Kunming, 650091, China.
  • Yuan Y; Department of Science Education and Research, Nitte University, Deralakatte, Mangalore, 575018, India.
  • Zeng M; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, Guangdong, China.
  • Li X; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, Guangdong, China.
  • Olawale OA; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, Guangdong, China.
  • Jiao X; Genomac Hub, Ogbomoso, 210271, Oyo State, Nigeria.
  • Irshad M; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, Guangdong, China. xyjiao@stu.edu.cn.
Environ Sci Pollut Res Int ; 30(2): 2977-2990, 2023 Jan.
Article in En | MEDLINE | ID: mdl-35939194
ABSTRACT
Antibiotic resistance genes (ARGs) and antimicrobial resistance elements (AMR) are novel environmental contaminants that pose a significant risk to human health globally. Freshwater contains a variety of microorganisms that might affect human health; its quality must be assessed before use. However, the dynamics of mobile genetic elements (MGEs) and ARG propagation in freshwater have rarely been studied in Singapore. Therefore, this study used metagenomics to compare diversity, virulence factor composition, and ARG and MGE co-occurrence with bacterial communities in paired (n = 8) environmental freshwater samples. KneadData, FMAP, and Kraken2 were used for bioinformatics analysis and R (v4.1.1) for statistical analysis. Sequence reads with a total of 9043 species were taxonomically classified into 66 phyla, 130 classes, 261 orders, 584 families, and 2477 genera. Proteobacteria, Bacteroidetes, Actinobacteria, and Firmicutes were found the Phyla in all samples. Analysis of QIIME output by PICRUSt and ß-diversity showed unique clusters and functional microbial community structures. A total of 2961 ARGs were found that conferred resistance to multidrug, aminoglycosides, tetracyclines, elfamycins, and more. The classified ARG mechanism revealed significant distribution of virulence factors in bacterial cells. Transposes and transposon were highly correlated to ARG gene transfer. Co-occurrence network analysis showed several MGEs appear to use the same ARGs (intI and rho) and were dominant in all samples. Furthermore, ARGs are also highly correlated with bacteria like Campylobacter and Escherichia. This study enhances the understanding of antibiotic risk assessment and provides a new perspective on bacterial assembly contamination and the functional prevalence of ARGs and MGEs with antibiotic resistance bacteria. Moreover, it raises public awareness because these contaminants put people's lives at risk of acquiring bacterial infections. In addition, it can also help propose hybrid water treatment approaches.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genes, Bacterial / Anti-Bacterial Agents Type of study: Risk_factors_studies Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genes, Bacterial / Anti-Bacterial Agents Type of study: Risk_factors_studies Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country: