Abstract
Genotyping is necessary for the discrimination of bacteria strains. However, methods such as multilocus sequence typing (MLST) or minim typing (mini-MLST) use a combination of several genes. In this paper, we present an augmented method for typing Klebsiella pneumoniae using highly variable fragments of its genome. These fragments were identified based on the entropy of the individual positions. Our method employs both coding and non-coding parts of the genome. These findings may lead to decrease in the number of variable parts used in genotyping and to make laboratory methods faster and cheaper.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ranjbar, R., Karami, A., Farshad, S., Giammanco, G.M., Mammina, C.: Typing methods used in the molecular epidemiology of microbial pathogens: a how-to guide. New Microbiol. 37, 1–15 (2014)
Ruppitsch, W.: Molecular typing of bacteria for epidemiological surveillance and outbreak investigation. Die Bodenkultur: J. Land Manag. Food Environ. 67, 199–224 (2016)
Castro-Escarpulli, G., et al.: Identification and typing methods for the study of bacterial infections : a brief review and mycobacterial as case of study. Arch. Clin. Microbiol. 7, 1–10 (2015)
van Belkum, A., et al.: Guidelines for the validation and application of typing methods for use in bacterial epidemiology. Clin. Microbiol. Infect. 13, 1–46 (2007)
Olive, D.M., Bean, P.: MINIREVIEW principles and applications of methods for DNA-based typing of microbial organisms. J. Clin. Microbiol. 37, 1661–1669 (1999)
Foley, S.L., Lynne, A.M., Nayak, R.: Molecular typing methodologies for microbial source tracking and epidemiological investigations of gram-negative bacterial foodborne pathogens. Infect. Genet. Evol. 9, 430–440 (2009)
Kao, R.R., Haydon, D.T., Lycett, S.J., Murcia, P.R.: Supersize me: how whole-genome sequencing and big data are transforming epidemiology. Trends Microbiol. 22, 282–291 (2014)
Sabat, A.J., Budimir, A., Nashev, D., Sá-Leão, R., van Dijl, J.M., Laurent, F.: Overview of molecular typing methods for outbreak detection and epidemiological surveillance. Eur. Commun. Dis. Bull. 18, 20380 (2013)
Wang, X., King Jordan, I., Mayer, L.W.: A phylogenetic perspective on molecular epidemiology. Mol. Med. Microbiol. 1–3, 517–536 (2014)
Sullivan, C.B., Diggle, M.A., Clarke, S.C.: Multilocus sequence typing: data analysis in clinical microbiology and public health. Mol. Biotechnol. 29, 245–254 (2005)
Li, W., Raoult, D., Fournier, P.E.: Bacterial strain typing in the genomic era. FEMS Microbiol. Rev. 33, 892–916 (2009)
Tong, S.Y.C., Giffard, P.M.: Microbiological applications of high-resolution melting analysis. J. Clin. Microbiol. 50, 3418–3421 (2012)
Andersson, P., Tong, S.Y.C., Bell, J.M., Turnidge, J.D., Giffard, P.M.: Minim typing - a rapid and low cost MLST based typing tool for Klebsiella pneumoniae. PLoS ONE 7, 1–7 (2012)
Brhelova, E., et al.: Validation of Minim typing for fast and accurate discrimination of extended-spectrum, beta-lactamase-producing Klebsiella pneumoniae isolates in tertiary care hospital. Diagn. Microbiol. Infect. Dis. 86, 44–49 (2016)
Li, H.: Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. In: Antimicrobial Resistance & Infection Control (2013)
Li, H., et al.: The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078–2079 (2009)
Schneider, T.D., Stephens, R.M.: Sequence logos: a new way to display consensus sequences. Nucleic Acids Res. 18, 6097–6100 (1990)
Nykrynova, M., Maderankova, D., Bezdicek, M., Lengerova, M., Skutkova, H.: Bioinformatic tools for genotyping of Klebsiella pneumoniae Isolates. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds.) ITIB 2018. AISC, vol. 762, pp. 419–428. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-91211-0_37
Nei, M., Kumar, S.: Molecular Evolution and Phylogenetics. Oxford University Press, New York (2000)
Sigma-Aldrich: Oligonucleotide Melting Temperature. Merck, Darmstadt (2018)
Breslauer, K.J., Frank, R., Blöcker, H., Marky, L.A.: Predicting DNA duplex stability from the base sequence. In: Proceedings of the National Academy of Sciences of the United States of America, vol. 83, pp. 3746–3750 (1986)
Martin, R.M., et al.: Molecular epidemiology of colonizing and infecting isolates of Klebsiella pneumoniae. MSphere 1 (2016)
Wyres, K.L., Holt, K.E.: Klebsiella pneumoniae population genomics and antimicrobial-resistant clones. Trends Microbiol. 24, 944–956 (2016)
Dwight, Z., Palais, R., Wittwer, C.T.: uMELT: prediction of high-resolution melting curves and dynamic melting profiles of PCR products in a rich web application. Bioinformatics 27, 1019–1020 (2011)
Zhang, H., Gao, S., Lercher, M.J., Hu, S., Chen, W.-H.: EvolView, an online tool for visualizing, annotating and managing phylogenetic trees. Nucleic Acids Res. 40, W569–W572 (2012)
Acknowledgments
This work was supported by grant project of the Czech Science Foundation [GACR 17-01821S].
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Nykrynova, M., Maderankova, D., Barton, V., Bezdicek, M., Lengerova, M., Skutkova, H. (2019). Entropy-Based Detection of Genetic Markers for Bacteria Genotyping. In: Rojas, I., Valenzuela, O., Rojas, F., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2019. Lecture Notes in Computer Science(), vol 11466. Springer, Cham. https://doi.org/10.1007/978-3-030-17935-9_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-17935-9_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-17934-2
Online ISBN: 978-3-030-17935-9
eBook Packages: Computer ScienceComputer Science (R0)