Comparison of qPCR and metagenomic sequencing methods for quantifying antibiotic resistance genes in wastewater

PLoS One. 2024 Apr 5;19(4):e0298325. doi: 10.1371/journal.pone.0298325. eCollection 2024.

Abstract

Surveillance methods of circulating antibiotic resistance genes (ARGs) are of utmost importance in order to tackle what has been described as one of the greatest threats to humanity in the 21st century. In order to be effective, these methods have to be accurate, quickly deployable, and scalable. In this study, we compare metagenomic shotgun sequencing (TruSeq DNA sequencing) of wastewater samples with a state-of-the-art PCR-based method (Resistomap HT-qPCR) on four wastewater samples that were taken from hospital, industrial, urban and rural areas. ARGs that confer resistance to 11 antibiotic classes have been identified in these wastewater samples using both methods, with the most abundant observed classes of ARGs conferring resistance to aminoglycoside, multidrug-resistance (MDR), macrolide-lincosamide-streptogramin B (MLSB), tetracycline and beta-lactams. In comparing the methods, we observed a strong correlation of relative abundance of ARGs obtained by the two tested methods for the majority of antibiotic classes. Finally, we investigated the source of discrepancies in the results obtained by the two methods. This analysis revealed that false negatives were more likely to occur in qPCR due to mutated primer target sites, whereas ARGs with incomplete or low coverage were not detected by the sequencing method due to the parameters set in the bioinformatics pipeline. Indeed, despite the good correlation between the methods, each has its advantages and disadvantages which are also discussed here. By using both methods together, a more robust ARG surveillance program can be established. Overall, the work described here can aid wastewater treatment plants that plan on implementing an ARG surveillance program.

MeSH terms

  • Anti-Bacterial Agents* / analysis
  • Anti-Bacterial Agents* / pharmacology
  • Drug Resistance, Microbial / genetics
  • Genes, Bacterial
  • Tetracycline / analysis
  • Wastewater*

Substances

  • Anti-Bacterial Agents
  • Wastewater
  • Tetracycline

Grants and funding

The authors would like to acknowledge the UK Centre for Environment, Fisheries and Aquaculture Science (Cefas), who funded the Resistomap analysis of our wastewater samples. This work was also partially funded by the Center for Membranes and Advanced Water Technology (CMAT) at Khalifa University (Award No. RC2-2018-009), and Center for Biotechnology at Khalifa University. There was no additional external funding received for this study.