Antibiotic Resistance Gene Detection in Tropical Water Systems Using Three PCR Methods
by Thitima Srathongneam·Updated 1mo ago
3.5 MB2files
Available on 1 platform
Sign in to view source links and access this dataset
Description
Three molecular platforms—HT-qPCR, qPCR, and ddPCR—were compared for detecting antibiotic resistance genes in wastewater, river water, and seawater in Thailand. HT-qPCR enabled broad profiling, detecting 325–336 ARGs out of 373 targets, while ddPCR identified a rare target missed by the other methods. The dataset, authored by Thitima Srathongneam and last updated in April 2026, supports a tiered framework for environmental ARG monitoring.
Use Cases
Benchmarking PCR method sensitivity for environmental DNA based on the comparative analysis of HT-qPCR, qPCR, and ddPCR.
Profiling the prevalence of aminoglycoside, beta-lactam, and sulfonamide resistance genes in water systems based on the HT-qPCR results.
Designing cost-effective, multi-tiered monitoring strategies based on the described complementary strengths of the three platforms.
Quantifying absolute gene copy numbers in complex matrices using the ddPCR calibration method described.
Strengths
Direct comparison of three established molecular methods (HT-qPCR, qPCR, ddPCR) on the same samples.
HT-qPCR screened a large panel of 373 target genes, detecting 87.1–90.1% of them.
Quantitative results from qPCR and ddPCR showed high rank-based concordance across sample matrices.
Dataset is openly licensed under CC-BY-4.0.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Geographic coverage is limited to water systems in Thailand.
Provenance
Source
figshare
Collection Method
Molecular analysis (HT-qPCR, qPCR, ddPCR) of water samples collected from wastewater, river, and seawater sites.
Freshness
Last updated 2026-04-22 10:50:58; freshness should be verified.
Geography
Thailand
Primary data file is in DOCX format (3.5 MB), which may require conversion for computational analysis.