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References from Source contribution and migration patterns of antibiotic resistomes in river–lake systems revealed by a tiered LEfSe–FEAST framework. Local targets link to admitted publications; unresolved targets remain external evidence.
Call of the wild: antibiotic resistance genes in natural environments
10.1038/nrmicro2312 · 2010 · External reference
Next–generation sequencing (NGS) for assessment of microbial water quality: current progress, challenges, and future opportunities
2015 · External reference
FQC Dashboard: integrates FastQC results into a web–based, interactive, and extensible FASTQ quality control tool
10.1093/bioinformatics/btx373 · 2017 · External reference
The structure and diversity of human, animal and environmental resistomes
10.1186/s40168-016-0199-5 · 2016 · External reference
The role of class I integrons in the dissemination of sulfonamide resistance genes in the Pearl River and Pearl River Estuary, South China
10.1016/j.jhazmat.2014.06.010 · 2014 · External reference
Characterization and source identification of antibiotic resistance genes in the sediments of an interconnected river–lake system
10.1016/j.envint.2020.105538 · 2020 · External reference
Evaluation of FEAST for metagenomics–based source tracking of antibiotic resistance genes
10.1016/j.jhazmat.2022.130116 · 2023 · External reference
Inducing flow velocities to manage fish reproduction in regulated rivers
10.1016/j.eng.2020.06.013 · 2021 · External reference
Fastp: an ultra–fast all–in–one FASTQ preprocessor
10.1093/bioinformatics/bty560 · 2018 · External reference
High–throughput profiling of antibiotic resistance gene dynamic in a drinking water river–reservoir system
10.1016/j.watres.2018.11.007 · 2019 · External reference
NCBI BLAST+ integrated into Galaxy
10.1186/s13742-015-0080-7 · 2015 · External reference
Contribution of different bacterial dispersal sources to lakes: population and community effects in different seasons
10.1111/1462-2920.13749 · 2017 · External reference
Microbial source tracking in impaired watersheds using PhyloChip and machine–learning classification
10.1016/j.watres.2016.08.035 · 2016 · External reference
Antibiotic resistance genes across a wide variety of metagenomes
10.1093/femsec/fiv168 · 2016 · External reference
Changes in water and sediment exchange between the Changjiang River and Poyang Lake under natural and anthropogenic conditions, China
10.1016/j.scitotenv.2014.02.087 · 2014 · External reference
Integrating global microbiome data into antibiotic resistance assessment in large rivers
2023 · External reference
Stormwater loadings of antibiotic resistance genes in an urban stream
10.1016/j.watres.2017.06.046 · 2017 · External reference
Detection of vancomycin–resistant Enterococcus faecium hospital–adapted lineages in municipal wastewater treatment plants indicates widespread distribution and release into the environment
10.1101/gr.232629.117 · 2019 · External reference
Distance–decay equations of antibiotic resistance genes across freshwater reservoirs
10.1016/j.watres.2024.121830 · 2024 · External reference
Data–driven discoveries on widespread contamination of freshwater reservoirs by dominant antibiotic resistance genes
2023 · External reference
Fate of antibiotic resistance genes and their associations with bacterial community in livestock breeding wastewater and its receiving river water
10.1016/j.watres.2017.07.061 · 2017 · External reference
Faecal source apportionment using molecular methods: a proof of concept using the FEAST algorithm
10.1016/j.watres.2024.122365 · 2024 · External reference
Bayesian community–wide culture–independent microbial source tracking
10.1038/nmeth.1650 · 2011 · External reference
Antibiotic resistance in the environment
10.1038/s41579-021-00649-x · 2022 · External reference
Tracking antibiotic resistance gene pollution from different sources using machine—learning classification
10.1186/s40168-018-0480-x · 2018 · External reference
Source tracking of antibiotic resistance genes in the environment–Challenges, progress, and prospects
10.1016/j.watres.2020.116127 · 2020 · External reference
Soil antibiotic abatement associates with the manipulation of soil microbiome via long–term fertilizer application
10.1016/j.jhazmat.2022.129704 · 2022 · External reference
Synergistic application of molecular markers and community–based microbial source tracking methods for identification of fecal pollution in river water during dry and wet seasons
10.3389/fmicb.2021.660368 · 2021 · External reference
Assembly process and source tracking of microbial communities in sediments of Dongting Lake
10.1007/s42832-023-0173-7 · 2023 · External reference
Fate, risk and sources of antibiotic resistome and its attenuation dynamics in the river water–sediment system: Field and microcosm study
10.1016/j.envpol.2023.122853 · 2024 · External reference
Insights into the long-term pollution trends and sources contributions in Lake Taihu, China using multi-statistic analyses models
10.1016/j.chemosphere.2019.125272 · 2020 · External reference
Horizontal circulation patterns in a large shallow lake: Taihu Lake
10.3390/w10060792 · 2018 · External reference
Removal efficiency of ARGs in different wastewater treatment plants and their potential risks in effluent
10.1038/s41545-025-00456-4 · 2025 · External reference
Untreated urban waste contaminates Indian river sediments with resistance genes to last resort antibiotics
10.1016/j.watres.2017.07.060 · 2017 · External reference
Correlation between upstream human activities and riverine antibiotic resistance gene
10.1021/es302657r · 2012 · External reference
FEAST: fast expectation–maximization for microbial source tracking
10.1038/s41592-019-0431-x · 2019 · External reference
Diversity of antibiotic resistance genes and Transfer elements–quantitative monitoring (DARTE–QM): a method for detection of antimicrobial resistance in environmental samples
10.1038/s42003-022-03155-9 · 2022 · External reference
Distribution of clinically relevant antibiotic resistance genes in Lake Tai, China
10.1016/j.scitotenv.2018.11.211 · 2019 · External reference
Tracking antibiotic resistance genes in the South Platte River basin using molecular signatures of urban, agricultural, and pristine sources
10.1021/es101657s · 2010 · External reference
Metagenomics of urban sewage identifies an extensively shared antibiotic resistome in China
10.1186/s40168-017-0298-y · 2017 · External reference
Tracking sources and dissemination of indicator antibiotic resistance genes at a watershed scale
10.1021/acsestwater.3c00394 · 2024 · External reference
Metagenomic analysis of antibiotic–resistance genes and viruses released from glaciers into downstream habitats
10.1016/j.scitotenv.2023.168310 · 2024 · External reference
Wastewater surveillance for antibiotics and resistance genes in a river catchment: Spatiotemporal variations and the main drivers
10.1016/j.watres.2023.121090 · 2024 · External reference
Critical roles of cyanobacteria as reservoirand source for antibiotic resistance genes
10.1016/j.envint.2020.106034 · 2020 · External reference
Pollution Governance in the Lake Taihu Basin: achievements and challenges
10.3390/su172411192 · 2025 · External reference
Environmental filtering dominated the antibiotic resistome assembly in river networks
10.1016/j.scitotenv.2022.155293 · 2022 · External reference
Application of fast expectation maximization microbial source tracking to discern fecal contamination in rivers exposed to low fecal inputs
10.1007/s12275-022-1651-9 · 2022 · External reference
Dynamic distribution and driving mechanisms of antibiotic resistance genes in a human–intensive watershed
10.1016/j.watres.2022.118841 · 2022 · External reference
Molecular characterization of antibiotic resistance in cultivable multidrug–resistant bacteria from livestock manure
10.1016/j.envpol.2017.05.073 · 2017 · External reference
Global environmental resistome: distinction and connectivity across diverse habitats benchmarked by metagenomic analyses
10.1016/j.watres.2023.119875 · 2023 · External reference
ARGs–OAP v3.0: antibiotic–resistance gene database curation and analysis pipeline optimization
2022 · External reference
ARGs–OAP v2.0 with an expanded SARG database and hidden markov models for enhancement characterization and quantification of antibiotic resistance genes in environmental metagenomes
10.1093/bioinformatics/bty053 · 2018 · External reference
Analysis of metagenome–assembled viral genomes from the human gut reveals diverse putative CrAss–like phages with unique genomic features
10.1038/s41467-021-21350-w · 2021 · External reference
An omics–based framework for assessing the health risk of antimicrobial resistance genes
10.1038/s41467-021-25096-3 · 2021 · External reference
Seasonal hydrological dynamics affected the diversity and assembly process of the antibiotic resistome in a canal network
10.1016/j.envres.2024.118841 · 2024 · External reference
Cyanobacterial blooms contribute to the diversity of antibiotic–resistance genes in aquatic ecosystems
10.1038/s42003-020-01468-1 · 2020 · External reference
New insights into sediment transport in interconnected river−lake systems through tracing microorganisms
10.1021/acs.est.8b07334 · 2019 · External reference
Assessment of global health risk of antibiotic resistance genes
10.1038/s41467-022-29283-8 · 2022 · External reference
Metagenomic insights into resistome coalescence in an urban sewage treatment plant–river system
10.1016/j.watres.2022.119061 · 2022 · External reference
Horizontal plasmid transfer promotes antibiotic resistance in selected bacteria in Chinese frog farms
10.1016/j.envint.2024.108905 · 2024 · External reference