Laboratory & Data Analysis
End-to-end service for monitoring antibiotic resistance
laboratory for amr
Complete quantitative AMR analysis service
Resistomap offers specialised laboratory and data analysis services for monitoring and researching environmental antimicrobial resistance (AMR).
Samples are sent directly to our laboratory in Helsinki for analysis. We provide clear, comparative data by quantifying AMR genes in eDNA using the HT-qPCR method. Our services are available to anyone interested in understanding AMR, including universities, research institutions, public health organisations, environmental agencies, and more.
Primer sets for targeted gene quantification designed, with the option of additional customisation.
Analysis results available within approximately ten business days from sample's arrival at our laboratory.
Contact us through our contact form and select "Request a quote".
Services for research
How it works
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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 FAQsIn 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.
Yes, at the moment we have 26 primer sets available to target certain taxonomy group of bacteria and pathogens.
We accept all types of samples, e.g., soil, sediment, sludge, manure, stool, meat, tissue, swabs, river, lake, wastewater, and seawater.
We deliver analysis results within 10 working days. For three or more chips, the analysis process may take longer.
In Resistomap we provide antibiotic resistance monitoring services starting from sampling to the final analysis of the SmartChip qPCR results.
Are you working in LMICs?
Contact us to consult how we can support projects for AMR monitoring in the environment.