Metagenomic sequencing combined with flow cytometry facilitated a novel microbial risk assessment framework for bacterial pathogens in municipal wastewater without cultivation.
Songzhe FuRui WangZheng XuHuiwen ZhouZhiguang QiuLixin ShenQian YangPublished in: iMeta (2023)
A workflow that combined metagenomic sequencing with flow cytometry was developed. The absolute abundance of pathogens was accurately estimated in mock communities and real samples. Metagenome-assembled genomes binned from metagenomic data set is robust in phylogenetic analysis and virulence profiling.
Keyphrases
- flow cytometry
- antibiotic resistance genes
- wastewater treatment
- single cell
- microbial community
- antimicrobial resistance
- risk assessment
- anaerobic digestion
- gram negative
- electronic health record
- escherichia coli
- pseudomonas aeruginosa
- staphylococcus aureus
- sewage sludge
- heavy metals
- human health
- big data
- biofilm formation
- cystic fibrosis
- climate change
- artificial intelligence