Research article

Optimization and development of high-resolution melting curve analysis (HRMA) assay for detection of New Delhi metallo-β-lactamase (NDM) producing Pseudomonas aeruginosa

  • Received: 02 March 2022 Revised: 22 April 2022 Accepted: 04 May 2022 Published: 09 May 2022
  • New Delhi metallo-β-lactamase-1 (NDM-1) producing Pseudomonas aeruginosa strain detection plays a vital role in confirming bacterial disease diagnosis and following the source of an outbreak for public health. However, the standard method for NDM-1 determination, which relies on the features of the colony of the bacteria cultured from the patient's specimen, is time-consuming and lacks accuracy and sensitivity. This study aimed to standardize a high-resolution melting curve analysis (HRMA) assay to detect NDM producing P. aeruginosa. For optimization and development of the HRMA method, a reference strain of P. aeruginosa was used. For evaluating the broad range PCR data, ABI Step One-Plus Manager Software version 3.2 and Precision Melt Analysis Software 3.02 (Applied Biosystems) were used.

    Based on the results, expected results were obtained for all tested strains, with high analytical sensitivity and specificity. Temperature melting analyses of the HRMA time PCR assays showed the Tm at 89.57 °C, 76.92 °C and 82.97 °C for N-1, N-2 and N-3 genes, respectively. Also, melting point temperatures of the blaVIM, blaSPM and blaSIM amplicons for isolates identified as MBL strains were 84.56 °C, 85.35 °C and 86.62 °C, respectively. The amplification results using negative control genomes as templates were negative, showing the specificity of the designed assays. Our study's data indicated that the sensitivity and specificity of the HRMA method are linked to the primer length and the fluorescent dye. We can further identify antibiotic resistance in NDMproducing P. aeruginosa by software analysis and melting curve analysis.

    Citation: Sanaz Dehbashi, Hamed Tahmasebi, Mohammad Yousef Alikhani, Fariba Keramat, Mohammad Reza Arabestani. Optimization and development of high-resolution melting curve analysis (HRMA) assay for detection of New Delhi metallo-β-lactamase (NDM) producing Pseudomonas aeruginosa[J]. AIMS Microbiology, 2022, 8(2): 178-192. doi: 10.3934/microbiol.2022015

    Related Papers:

  • New Delhi metallo-β-lactamase-1 (NDM-1) producing Pseudomonas aeruginosa strain detection plays a vital role in confirming bacterial disease diagnosis and following the source of an outbreak for public health. However, the standard method for NDM-1 determination, which relies on the features of the colony of the bacteria cultured from the patient's specimen, is time-consuming and lacks accuracy and sensitivity. This study aimed to standardize a high-resolution melting curve analysis (HRMA) assay to detect NDM producing P. aeruginosa. For optimization and development of the HRMA method, a reference strain of P. aeruginosa was used. For evaluating the broad range PCR data, ABI Step One-Plus Manager Software version 3.2 and Precision Melt Analysis Software 3.02 (Applied Biosystems) were used.

    Based on the results, expected results were obtained for all tested strains, with high analytical sensitivity and specificity. Temperature melting analyses of the HRMA time PCR assays showed the Tm at 89.57 °C, 76.92 °C and 82.97 °C for N-1, N-2 and N-3 genes, respectively. Also, melting point temperatures of the blaVIM, blaSPM and blaSIM amplicons for isolates identified as MBL strains were 84.56 °C, 85.35 °C and 86.62 °C, respectively. The amplification results using negative control genomes as templates were negative, showing the specificity of the designed assays. Our study's data indicated that the sensitivity and specificity of the HRMA method are linked to the primer length and the fluorescent dye. We can further identify antibiotic resistance in NDMproducing P. aeruginosa by software analysis and melting curve analysis.



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    Acknowledgments



    The authors would like to acknowledge the Vice Chancellor of Hamadan University of Medical Sciences for the funding and support of the study. The manuscript has been presented as a preprint at the following link: https://www.researchsquare.com/article/rs-7632/v1.

    Funding information



    This study has been adapted from a research fund at Hamadan University of Medical Sciences (Project No: 9808145924).

    Conflict of interest



    The authors declare that they have no conflict of interest.

    Author contributions



    MRA and HT proposed, designed and carried out the study. HT and SD analyzed the generated data, drafted the manuscript and performed the data analysis. MRA provided some of the strains, and HT participated in proofreading of the manuscript and critical revision. MYA and FK on editing the article. All authors read and approved the final manuscript.

    [1] Xu Z, Xie J, Soteyome T, et al. (2019) Polymicrobial interaction and biofilms between Staphylococcus aureus and Pseudomonas aeruginosa: An underestimated concern in food safety. Curr Opin Food Sci 26: 57-64. https://doi.org/10.1016/j.cofs.2019.03.006
    [2] Toolabi A, Malakootian M, Ghaneian MT, et al. (2017) Optimization of photochemical decomposition acetamiprid pesticide from aqueous solutions and effluent toxicity assessment by Pseudomonas aeruginosa BCRC using response surface methodology. AMB Express 7: 159. https://doi.org/10.1186/s13568-017-0455-5
    [3] Zahedani SS, Tahmasebi H, Jahantigh M (2021) Coexistence of virulence factors and efflux pump genes in clinical isolates of Pseudomonas aeruginosa: Analysis of biofilm-forming strains from Iran. Int J Microbiol 2021: 5557361. https://doi.org/10.1155/2021/5557361
    [4] Tahmasebi H, Dehbashi S, Arabestani MR (2021) Antibiotic resistance alters through iron-regulating Sigma factors during the interaction of Staphylococcus aureus and Pseudomonas aeruginosa. Sci Rep 11: 18509. https://doi.org/10.1038/s41598-021-98017-5
    [5] Mentasti M, Prime K, Sands K, et al. (2019) Rapid detection of IMP, NDM, VIM, KPC and OXA-48-like carbapenemases from Enterobacteriales and Gram-negative non-fermenter bacteria by real-time PCR and melt-curve analysis. Eur J Clin Microbiol Infect Dis 38: 2029-2036. https://doi.org/10.1007/s10096-019-03637-5
    [6] Kaur A, Singh S (2018) Prevalence of Extended Spectrum Betalactamase (ESBL) and Metallobetalactamase (MBL) Producing Pseudomonas aeruginosa and Acinetobacter baumannii isolated from various clinical samples. J Pathog 2018: 7. https://doi.org/10.1155/2018/6845985
    [7] Zhou M, Wang D, Kudinha T, et al. (2018) Comparative evaluation of four phenotypic methods for detection of class A and B carbapenemase-producing enterobacteriaceae in China. J Clin Microbiol 56: e00395-18. https://doi.org/10.1128/JCM.00395-18
    [8] Tahmasebi H, Dehbashi S, Arabestani MR (2020) New approach to identify colistin-resistant Pseudomonas aeruginosa by high-resolution melting curve analysis assay. Lett Appl Microbiol 70: 290-299. https://doi.org/10.1111/lam.13270
    [9] Tahmasebi H, Dehbashi S, Arabestani MR (2018) High resolution melting curve analysis method for detecting of carbapenemases producing pseudomonas aeruginosa. JKIMSU 7: 70-77.
    [10] Hu M, Yang D, Wu X, et al. (2019) A novel high-resolution melting analysis-based method for Salmonella genotyping. J Microbiol Methods 172: 105806. https://doi.org/10.1016/j.mimet.2019.105806
    [11] Ohadi E, Khoramrooz SS, Kalani BS, et al. (2019) Evaluation of high-resolution melting analysis for spa-typing of methicillin-resistant and -susceptible Staphylococcus aureus isolates. New Microbes New Infect 32: 100618. https://doi.org/10.1016/j.nmni.2019.100618
    [12] Tahmasebi H, Dehbashi S, Arabestani MR (2020) Co-harboring of mcr-1 and β-lactamase genes in Pseudomonas aeruginosa by high-resolution melting curve analysis (HRMA): Molecular typing of superbug strains in bloodstream infections (BSI). Infect Genet Evol 104518. https://doi.org/10.1016/j.meegid.2020.104518
    [13] Schiwek S, Beule L, Vinas M, et al. (2020) High-Resolution Melting (HRM) curve assay for the identification of eight fusarium species causing Ear Rot in maize. Pathogens 9: 270. https://doi.org/10.3390/pathogens9040270
    [14] Dehbashi S, Tahmasebi H, Sedighi P, et al. (2020) Development of high-resolution melting curve analysis in rapid detection of vanA gene, Enterococcus faecalis, and Enterococcus faecium from clinical isolates. Trop Med Health 48: 8. https://doi.org/10.1186/s41182-020-00197-9
    [15] Landolt P, Stephan R, Scherrer S (2019) Development of a new High Resolution Melting (HRM) assay for identification and differentiation of Mycobacterium tuberculosis complex samples. Sci Rep 9: 1850. https://doi.org/10.1038/s41598-018-38243-6
    [16] Bodnar GC, Martins HM, De Oliveira CF, et al. (2016) Comparison of HRM analysis and three REP-PCR genomic fingerprint methods for rapid typing of MRSA at a Brazilian hospital. J Infect Dev Ctries 10: 1306-1317. https://doi.org/10.3855/jidc.7887
    [17] Woksepp H, Ryberg A, Billström H, et al. (2014) Evaluation of high-resolution melting curve analysis of ligation-mediated real-time PCR, a rapid method for epidemiological typing of ESKAPE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter Species) pathogens. J Clin Microbiol 52: 4339-4342. https://doi.org/10.1128/JCM.02537-14
    [18] Tamburro M, Ripabelli G (2017) High Resolution Melting as a rapid, reliable, accurate and cost-effective emerging tool for genotyping pathogenic bacteria and enhancing molecular epidemiological surveillance: a comprehensive review of the literature. Ann Ig 29: 293-316. https://doi.org/10.7416/ai.2017.2153
    [19] Tamburro M, Sammarco ML, Fanelli I, et al. (2019) Characterization of Listeria monocytogenes serovar 1/2a, 1/2b, 1/2c and 4b by high resolution melting analysis for epidemiological investigations. Int J Food Microbiol 310: 108289. https://doi.org/10.1016/j.ijfoodmicro.2019.108289
    [20] Słomka M, Sobalska-Kwapis M, Wachulec M, et al. (2017) High Resolution Melting (HRM) for high-throughput genotyping-limitations and caveats in practical case studies. Int J Mol Sci 18: 2316. https://doi.org/10.3390/ijms18112316
    [21] Ashrafi R, Bruneaux M, Sundberg LR, et al. (2017) Application of high resolution melting assay (HRM) to study temperature-dependent intraspecific competition in a pathogenic bacterium. Sci Rep 7: 980-980. https://doi.org/10.1038/s41598-017-01074-y
    [22] Chatzidimopoulos M, Ganopoulos I, Vellios E, et al. (2014) Development of a two-step high-resolution melting (HRM) analysis for screening sequence variants associated with resistance to the QoIs, benzimidazoles and dicarboximides in airborne inoculum of Botrytis cinerea. FEMS Microbiol Lett 360: 126-131. https://doi.org/10.1111/1574-6968.12594
    [23] Sanger F, Nicklen S, Coulson AR (1977) DNA sequencing with chain-terminating inhibitors. Proc Natl Acad Sci USA 74: 5463-5467. https://doi.org/10.1073/pnas.74.12.5463
    [24] Ly TDA, Hadjadj L, Hoang VT, et al. (2019) Low prevalence of resistance genes in sheltered homeless population in Marseille, France, 2014–2018. Infect Drug Resist 12: 1139-1151. https://doi.org/10.2147/IDR.S202048
    [25] Bordin A, Trembizki E, Windsor M, et al. (2019) Evaluation of the SpeeDx Carba (beta) multiplex real-time PCR assay for detection of NDM, KPC, OXA-48-like, IMP-4-like and VIM carbapenemase genes. BMC Infect Dis 19: 571. https://doi.org/10.1186/s12879-019-4176-z
    [26] Kosykowska E, Dzieciątkowski T, Mlynarczyk G (2016) Rapid detection of NDM, VIM, KPC and IMP carbapenemases by real-time PCR. J Bacteriol Parasitol 38: 2029-2036. https://doi.org/10.4172/2155-9597.1000299
    [27] Alkasaby NM, El Sayed Zaki M (2017) Molecular study of Acinetobacter baumannii isolates for metallo-β-lactamases and extended-spectrum-β-lactamases genes in Intensive Care Unit, Mansoura University Hospital, Egypt. Int J Microbiol 2017: 3925868-3925868. https://doi.org/10.1155/2017/3925868
    [28] Pfaffl MW (2001) A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res 29: e45. https://doi.org/10.1093/nar/29.9.e45
    [29] Heydari N, Alikhani MY, Tahmasebi H, et al. (2019) Design of Melting Curve Analysis (MCA) by real-time polymerase chain reaction assay for rapid distinction of Staphylococci and antibiotic resistance. Arch Clin Infect Dis 14: e81604. https://doi.org/10.5812/archcid.81604
    [30] Lalonde LF, Reyes J, Gajadhar AA (2013) Application of a qPCR assay with melting curve analysis for detection and differentiation of protozoan oocysts in human fecal samples from Dominican Republic. Am J Trop Med Hyg 89: 892-898. https://doi.org/10.4269/ajtmh.13-0106
    [31] Andini N, Wang B, Athamanolap P, et al. (2017) Microbial typing by machine learned DNA melt signatures. Sci Rep 7: 42097. https://doi.org/10.1038/srep42097
    [32] Smiljanic M, Kaase M, Ahmad-Nejad P, et al. (2017) Comparison of in-house and commercial real time-PCR based carbapenemase gene detection methods in Enterobacteriaceae and non-fermenting gram-negative bacterial isolates. Ann Clin Microbiol Antimicrob 16: 48-48. https://doi.org/10.1186/s12941-017-0223-z
    [33] Ding Y, Teo JWP, Drautz-Moses DI, et al. (2018) Acquisition of resistance to carbapenem and macrolide-mediated quorum sensing inhibition by Pseudomonas aeruginosa via ICE(Tn4371) 6385. Communications biology 1: 57-57. https://doi.org/10.1038/s42003-018-0064-0
    [34] Naas T, Ergani A, Carrër A, et al. (2011) Real-time PCR for detection of NDM-1 carbapenemase genes from spiked stool samples. Antimicrob Agents Chemother 55: 4038-4043. https://doi.org/10.1128/AAC.01734-10
    [35] Hemarajata P, Yang S, Hindler JA, et al. (2015) Development of a novel real-time PCR assay with high-resolution melt analysis to detect and differentiate OXA-48-Like β-lactamases in carbapenem-resistant Enterobacteriaceae. Antimicrob Agents Chemother 59: 5574-5580. https://doi.org/10.1128/AAC.00425-15
    [36] Gori A, Cerboneschi M, Tegli S (2012) High-Resolution Melting Analysis as a powerful tool to discriminate and genotype Pseudomonas savastanoi pathovars and strains. PLOS One 7: e30199. https://doi.org/10.1371/journal.pone.0030199
    [37] Makena A, Brem J, Pfeffer I, et al. (2014) Biochemical characterization of New Delhi metallo-β-lactamase variants reveals differences in protein stability. J Antimicrob Chemother 70: 463-469. https://doi.org/10.1093/jac/dku403
    [38] Eischeid AC (2011) SYTO dyes and EvaGreen outperform SYBR Green in real-time PCR. BMC Res Notes 4: 263-263. https://doi.org/10.1186/1756-0500-4-263
    [39] Tong SYC, Giffard PM (2012) Microbiological applications of High-Resolution Melting Analysis. J Clin Microbiol 50: 3418-3421. https://doi.org/10.1128/jcm.01709-12
    [40] Radvanszky J, Surovy M, Nagyova E, et al. (2015) Comparison of different DNA binding fluorescent dyes for applications of high-resolution melting analysis. Clin Biochem 48: 609-16. https://doi.org/10.1016/j.clinbiochem.2015.01.010
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