Research
Empowering research with quantifiable AMR data
EMPOWER your Research
We deliver clear, comparative data by precisely quantifying AMR genes in samples sent directly to our laboratory, providing meaningful insights into AMR across diverse ecosystems over time.
In numbers
Samples analysed
Countries reached
Projects supported
Tools for research
Tailored assays for precision & flexibility
Our service utilises a high-throughput qPCR (HT-qPCR) method, capable of performing 5184 reactions per analysis, delivering exceptional adaptability for diverse research needs. Designed to align with your specific research questions, scope, and objectives, this approach allows customisation of target genes and sample quantities, ensuring every analysis provides maximum value and actionable insights.
Clients can access our services on a per-chip basis for flexibility or opt for a subscription model, ideal for ongoing monitoring and larger-scale projects.
Comprehensive gene coverage from trusted sources
In addition to its flexibility, the Resistomap analysis offers customisation with access to over 600 primers targeting a comprehensive range of antimicrobial resistance genes (ARGs).
Our primer selection is meticulously curated from the latest scientific literature and is continuously updated to incorporate validated targets from the research community. This ensures that your analysis remains aligned with the most current AMR trends and discoveries, providing reliable and up-to-date insights.
Cost-effective & fast results
Recognising the challenges researchers face with tight budgets and deadlines, we’ve designed our service to be both cost-effective and time-efficient, ensuring you can make the most of your resources without sacrificing quality.
With our streamlined workflows, you’ll receive your results within just 10 days of your samples arriving at our lab. To simplify the process further, we also offer an optional service to handle international shipping, making it easier for you to focus on your research while we manage the documentations needed for the logistics*.
*availability may vary depending on your location.
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Select works utlising resistomap
Selection of publications
Our service has been utilised by researchers all over the globe for various studies and fields of research. This is a small selection and you can find our complete list linked below. If you have recently published a study using Resistomaps service, feel free to contact us about putting it on our list of supported research.
See all publications- Tavares, R. D. S., Fidalgo, C., Rodrigues, E. T., Tacão, M.,& Henriques, I. (2024). Integron-associated genes are reliable indicators of antibiotic resistance in wastewater despite treatment- and seasonality-driven fluctuations. Water Research, 258, 121784. https://doi.org/10.1016/j.watres.2024.121784
- Robins, K., O'Donnell, G., Neumann, A., Schmidt, W., Hart, A., & Graham, D. W. (2024). Antimicrobial resistance in rural rivers: Comparative study of the Coquet (Northumberland) and Eden (Cumbria) River catchments. Science of The Total Environment, 928, 172348. https://doi.org/10.1016/j.scitotenv.2024.172348
- Samarra, A., Cabrera-Rubio, R., Martínez-Costa, C., &Collado, M. C. (2024). Unravelling the evolutionary dynamics of antibioticresistance genes in the infant gut microbiota during the first four months oflife. Annals of Clinical Microbiology and Antimicrobials, 23, Article72. https://doi.org/10.1186/s12941-024-00725-z
- Magalhães, E. A., de Jesus, H. E., Pereira, P. H. F., Gomes, A. S., & dos Santos, H. F. (2024). Beach sand plastispheres are hotspots for antibiotic resistance genes and potentially pathogenic bacteria even in beaches with good water quality. Environmental Pollution, 344, 123237. https://doi.org/10.1016/j.envpol.2023.123237
- Zalewska, M., Błażejewska, A., Szadziul, M. et al. Effect of composting and storage on the microbiome and resistome of cattle manure from a commercial dairy farm in Poland. Environ Sci Pollut Res31, 30819–30835 (2024). https://doi.org/10.1007/s11356-024-33276-z
- Jauregi, L., González, A., Garbisu, C., & Epelde, L.(2023). Organic amendment treatments for antimicrobial resistance and mobileelement genes risk reduction in soil-crop systems. Scientific Reports, 13,Article 863. https://doi.org/10.1038/s41598-023-27871-3
- Goh, S. G., You, L., Ng, C., Tong, X., Mohapatra, S., Khor, W. C., Ong, H. M. G., Aung, K. T., & Gin, K. Y.-H. (2024). A multi-pronged approach to assessing antimicrobial resistance risks in coastal waters and aquaculture systems. Water Research, 266, 122353. https://doi.org/10.1016/j.watres.2024.122353
- Zalewska, M., Błażejewska, A., Szadziul, M. et al. Effect of composting and storage on the microbiome and resistome of cattle manure from a commercial dairy farm in Poland. Environ Sci Pollut Res31, 30819–30835 (2024). https://doi.org/10.1007/s11356-024-33276-z
- Dias, D., Fonseca, C., Caetano, T., & Mendo, S. (2022).Oh, deer! How worried should we be about the diversity and abundance of thefaecal resistome of red deer? Science of The Total Environment, 825,153831. https://doi.org/10.1016/j.scitotenv.2022.153831
- Knight, M. E., Webster, G., Perry, W. B., Baldwin, A., Rushton, L., Pass, D. A., Cross, G., Durance, I., Muziasari, W., Kille, P., Farkas, K., Weightman, A. J., & Jones, D. L. (2024). National-scale antimicrobial resistance surveillance in wastewater: A comparative analysis of HT qPCR and metagenomic approaches. Water Research, 262, 121989. https://doi.org/10.1016/j.watres.2024.121989
- Rivadulla, M., Lois, M., Elena, A. X., Balboa, S., Suarez, S., Berendonk, T. U., Romalde, J. L., Garrido, J. M., & Omil, F. (2024). Occurrence and fate of CECs (OMPs, ARGs and pathogens) during decentralised treatment of black water and grey water. Science of The Total Environment, 915, 169863. https://doi.org/10.1016/j.scitotenv.2023.169863
Robust monitoring and evaluation are needed in order to measure progress towards the delivery of the Global Action Plan on Antimicrobial Resistance (GAP) objectives, and help identify key achievements and persisting gaps across human, animal, plant, food, and environment sectors in efforts to tackle antimicrobial resistance (AMR).
Monitor antibiotic resistance with our cutting-edge technology
Contact us to see how our biosecurity intelligence platform can benefit your organization
FAQs
Find answers to the most common questions about our monitoring service process, gene selection, DNA concentrations and other important information.
See all FAQsYes, at the moment we have 26 primer sets available to target certain taxonomy group of bacteria and pathogens.
In each chip analysis, we can measure up to 384 genes, including 16S rRNA gene (positive control); antibiotic resistance genes (ARGs) targeting aminoglycoside, amphenicol, beta lactam, florphenicol, multidrug efflux-pump, macrolide-lincosamide-streptogramin B (MLSB), trimethoprim, tetracycline, vancomycin; genes targeting other antibacterials such as nisin, bacitracin, antiseptic, mercury; and genes that are associated with mobile genetic elements (MGEs) and integrons.
Yes, you can customise the target genes with an extra customisation fee. The customisation options for chip analysis are:
- 296 Genes: 5 Samples;
- 248 Genes: 6 Samples;
- 216 Genes: 8 Samples;
- 144 Genes: 12 Samples;
- 120 Genes: 14 Samples;
- 96 Genes: 18 Samples;
- 80 Genes: 21 Samples;
- 72 Genes: 24 Samples;
- 54 Genes: 32 Samples;
- 48 Genes: 36 Samples;
- 36 Genes: 48 Samples;
- 24 Genes: 72 Samples;
- 12 Genes: 128 Samples;
- and 6 Genes: 256 Samples.
You can choose the target genes based on over 600 previously validated primer sets that are available in our database from the the ARG selection sheet that we will send you separately.
In Resistomap we provide antibiotic resistance monitoring services starting from sampling to the final analysis of the SmartChip qPCR results.
We deliver analysis results within 10 working days. For three or more chips, the analysis process may take longer.
We accept all types of samples, e.g., soil, sediment, sludge, manure, stool, meat, tissue, swabs, river, lake, wastewater, and seawater.