Tag: Plasmid reconstruction

Strain-level antimicrobial resistance surveillance uses genomic and metagenomic data to track resistant microbial strains, investigate genetic relatedness, identify resistance determinants, and monitor potential transmission. Learn how whole-genome sequencing, metagenomics, SNP analysis, phylogenetics, genomic clustering, resistance-gene analysis, and One Health approaches support high-resolution AMR surveillance.

Plasmid reconstruction recovers and characterizes plasmid DNA from sequencing data. Learn how metagenomic assembly, short- and long-read sequencing, plasmid detection, host association, genomic context, and resistance-gene analysis are used to investigate plasmids and genetic mobility.

The wastewater resistome contains antimicrobial resistance genes and associated genetic determinants found in wastewater and wastewater-associated microbial communities. Learn how metagenomic sequencing is used to detect, quantify, and characterize resistance genes, mobile genetic elements, plasmids, microbial hosts, and potential resistance pathways across municipal, hospital, agricultural, and environmental wastewater systems.

One Health antimicrobial resistance recognizes that resistance develops and spreads across interconnected human, animal, food, agricultural, wastewater, and environmental systems. Learn how metagenomics can investigate antimicrobial resistance genes, resistomes, mobile genetic elements, resistance reservoirs, and potential dissemination pathways across these connected ecosystems.

Environmental antimicrobial resistance occurs across soil, freshwater, sediments, marine ecosystems, wastewater, agricultural environments, and other microbial habitats. Learn how metagenomic sequencing is used to detect, quantify, and characterize resistance genes, resistomes, mobile genetic elements, plasmids, microbial hosts, and potential resistance pathways across interconnected environmental systems.

Antimicrobial resistance surveillance monitors resistance genes, resistant microorganisms, resistomes, and resistance patterns across human, animal, agricultural, food, wastewater, and environmental systems. Learn how metagenomics, genomic epidemiology, resistome analysis, and One Health approaches support AMR detection, monitoring, and surveillance.