ArticleScientific reports2016
Evaluating the mobility potential of antibiotic resistance genes in environmental resistomes without metagenomics.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Landscape of Genetic Content in the Gut and Oral Human Microbiome.Cell host & microbe · 2019Pooled it
- Genomic analysis of a clinical Streptococcus suis ST1 isolate from CSF reveals antimicrobial resistance, virulence, and an evolutionary link to ST7.Scientific reports · 2026Article
- The role of mobile genetic elements in adaptation of the microbiota to the dynamic human gut ecosystem.Current opinion in microbiology · 2025Review
- Towards the integration of antibiotic resistance gene mobility into environmental surveillance and risk assessment.npj antimicrobials and resistance · 2025Review
- Biodiversity of microorganisms in the Baltic Sea: the power of novel methods in the identification of marine microbes.FEMS microbiology reviews · 2024Review
- Article
- Geographical distribution of mobile genetic elements in microbial communities along the Yucatan coast.PloS one · 2024Article
- Metagenomic profiling of antibiotic resistance genes in Red Sea brine pools.Archives of microbiology · 2023Article
- Quantification of the mobility potential of antibiotic resistance genes through multiplexed ddPCR linkage analysis.FEMS microbiology ecology · 2023Article
- Demonstrating a Comprehensive Wastewater-Based Surveillance Approach That Differentiates Globally Sourced Resistomes.Environmental science & technology · 2022Article
- Inverse PCR-based detection reveal novel mobile genetic elements and their associated genes in the human oral metagenome.BMC oral health · 2022Article
- Examining horizontal gene transfer in microbial communities.Nature reviews. Microbiology · 2021Review
- Horizontal Gene Transfer: From Evolutionary Flexibility to Disease Progression.Frontiers in cell and developmental biology · 2020Review
- Distribution and Succession Feature of Antibiotic Resistance Genes Along a Soil Development Chronosequence in Urumqi No.1 Glacier of China.Frontiers in microbiology · 2019Article
- Host range of antibiotic resistance genes in wastewater treatment plant influent and effluent.FEMS microbiology ecology · 2018Article
- A reservoir of 'historical' antibiotic resistance genes in remote pristine Antarctic soils.Microbiome · 2018Article
- Phenetic Comparison of Prokaryotic Genomes Using k-mers.Molecular biology and evolution · 2017Article
- TCDD influences reservoir of antibiotic resistance genes in murine gut microbiome.FEMS microbiology ecology · 2017Article
- Virulence factor activity relationships (VFARs): a bioinformatics perspective.Environmental science. Processes & impacts · 2017Review
- The Resistome of Farmed Fish Feces Contributes to the Enrichment of Antibiotic Resistance Genes in Sediments below Baltic Sea Fish Farms.Frontiers in microbiology · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antibiotic resistance genes are ubiquitous in the environment. However, only a fraction of them are mobile and able to spread to pathogenic bacteria. Until now, studying the mobility of antibiotic resistance genes in environmental resistomes has been challenging due to inadequate sensitivity and difficulties in contig assembly of metagenome based methods. We developed a new cost and labor efficient method based on Inverse PCR and long read sequencing for studying mobility potential of environmental resistance genes. We applied Inverse PCR on sediment samples and identified 79 different MGE clusters associated with the studied resistance genes, including novel mobile genetic elements, co-selected resistance genes and a new putative antibiotic resistance gene. The results show that the method can be used in antibiotic resistance early warning systems. In comparison to metagenomics, Inverse PCR was markedly more sensitive and provided more data on resistance gene mobility and co-selected resistances.
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