The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
The Ins and Outs of DNA Fingerprinting the Infectious Fungi
Open accessAbstract
SUMMARY: DNA fingerprinting methods have evolved as major tools in fungal epidemiology. However, no single method has emerged as the method of choice, and some methods perform better than others at different levels of resolution. In this review, requirements for an effective DNA fingerprinting method are proposed and procedures are described for testing the efficacy of a method. In light of the proposed requirements, the most common methods now being used to DNA fingerprint the infectious fungi are described and assessed. These methods include restriction fragment length polymorphisms (RFLP), RFLP with hybridization probes, randomly amplified polymorphic DNA and other PCR-based methods, electrophoretic karyotyping, and sequencing-based methods. Procedures for computing similarity coefficients, generating phylogenetic trees, and testing the stability of clusters are then described. To facilitate the analysis of DNA fingerprinting data, computer-assisted methods are described. Finally, the problems inherent in the collection of test and control isolates are considered, and DNA fingerprinting studies of strain maintenance during persistent or recurrent infections, microevolution in infecting strains, and the origin of nosocomial infections are assessed in light of the preceding discussion of the ins and outs of DNA fingerprinting. The intent of this review is to generate an awareness of the need to verify the efficacy of each DNA fingerprinting method for the level of genetic relatedness necessary to answer the epidemiological question posed, to use quantitative methods to analyze DNA fingerprint data, to use computer-assisted DNA fingerprint analysis systems to analyze data, and to file data in a form that can be used in the future for retrospective and comparative studies.
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Cited by
Resistance of Candida species to antifungal agents: molecular mechanisms and clinical consequences
Sanglard, D., & Odds, F. C. (2002) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(02)00181-0 · Cited by 784
Advances in Chemical and Biological Methods to Identify Microorganisms—From Past to Present
Franco-Duarte, R., Černáková, L., Kadam, S., S. Kaushik, K., Salehi, B., Bevilacqua, A., Corbo, M. R., Antolak, H., Dybka-Stępień, K., Leszczewicz, M., et al. (2019) · Microorganisms · doi:10.3390/microorganisms7050130 · Cited by 565
Antifungal drug resistance of pathogenic fungi
Kontoyiannis, D. P., & Lewis, R. E. (2002) · The Lancet · doi:10.1016/s0140-6736(02)08162-x · Cited by 553
Dadar, M., Tiwari, R., Karthik, K., Chakraborty, S., Shahali, Y., & Dhama, K. (2018) · Microbial Pathogenesis · doi:10.1016/j.micpath.2018.02.028 · Cited by 332
Oh, S.-H., Cheng, G., Nuessen, J. A., Jajko, R., Yeater, K. M., Zhao, X., Pujol, C., Soll, D. R., & Hoyer, L. L. (2005) · Microbiology · doi:10.1099/mic.0.27680-0 · Cited by 108
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Metadata
- Authors
- Soll, D. R.
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2000-04
- Volume
- 13
- Issue
- 2
- Pages
- 332-370
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- OpenAlex
- W2106936504
- Cited by
- 346
- References
- 12
- FWCI
- 16.05
- Type
- journal article
- Language
- en
- Open access
- green
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