A database on the abundance of environmental antibiotic resistance genes.
Wenjuan XuZhizhen PanYangyu WuXin-Li AnWeiyi WangBoris AdamovichYong-Guan ZhuJian-Qiang SuQian-Sheng HuangPublished in: Scientific data (2024)
Antimicrobial resistance (AMR) poses a severe threat to global health. The wide distribution of environmental antibiotic resistance genes (ARGs), which can be transferred between microbiota, especially clinical pathogens and human commensals, contributed significantly to AMR. However, few databases on the spatiotemporal distribution, abundance, and health risk of ARGs from multiple environments have been developed, especially on the absolute level. In this study, we compiled the ARG occurrence data generated by a high-throughput quantitative PCR platform from 1,403 samples in 653 sampling sites across 18 provinces in China. The database possessed 291,870 records from five types of habitats on the abundance of 290 ARGs, as well as 8,057 records on the abundance of 30 mobile genetic elements (MGEs) from 2013 to 2020. These ARGs conferred resistance to major common types of antibiotics (a total of 15 types) and represented five major resistance mechanisms, as well as four risk ranks. The database can provide information for studies on the dynamics of ARGs and is useful for the health risk assessment of AMR.
Keyphrases
- antibiotic resistance genes
- antimicrobial resistance
- microbial community
- wastewater treatment
- high throughput
- global health
- health risk assessment
- anaerobic digestion
- public health
- adverse drug
- heavy metals
- endothelial cells
- human health
- risk assessment
- big data
- mental health
- electronic health record
- emergency department
- gene expression
- early onset
- single cell
- life cycle
- high resolution
- mass spectrometry
- induced pluripotent stem cells
- dna methylation
- deep learning
- artificial intelligence