Literature DB >> 16831204

DNA microarray technology: a new tool for the epidemiological typing of bacterial pathogens?

Javier Garaizar1, Aitor Rementeria, Steffen Porwollik.   

Abstract

Genomic hybridization on whole genome arrays detects the presence or absence of similar DNA regions in sufficiently related microorganisms, allowing genome-wide comparison of their genetic contents. A whole genome array is based on a sequenced bacterial isolate, and is a collection of DNA probes fixed on a solid support. In a single hybridization experiment, the absence/presence status of all genes of the sequenced microbe in the queried isolate can be examined. The objective of this minireview is to summarize the past usage of DNA microarray technology for microbial strain characterizations, and to estimate its future utilization in epidemiological studies and molecular typing of bacterial pathogens. The studies reviewed here confirm the usefulness of microarray technology for the detection of genetic polymorphisms. However, the construction or purchase of DNA microarrays and the performance of strain to strain hybridization experiments are still prohibitively expensive for routine application. Future use of arrays in epidemiology is likely to depend on the development of more cost-effective protocols, more robust and simplified formats, and the adequate evaluation of their performance (efficacy) and convenience (efficiency) compared with other genotyping methods. It seems more likely that a more focused assay, concentrating on genomic regions of variability previously detected by genome-wide microarrays, will find broad application in routine bacterial epidemiology.

Mesh:

Year:  2006        PMID: 16831204     DOI: 10.1111/j.1574-695X.2006.00081.x

Source DB:  PubMed          Journal:  FEMS Immunol Med Microbiol        ISSN: 0928-8244


  9 in total

1.  Biological and physicochemical wastewater treatment processes reduce the prevalence of virulent Escherichia coli.

Authors:  Dominic Frigon; Basanta Kumar Biswal; Alberto Mazza; Luke Masson; Ronald Gehr
Journal:  Appl Environ Microbiol       Date:  2012-11-16       Impact factor: 4.792

2.  Automated comparative sequence analysis by base-specific cleavage and mass spectrometry for nucleic acid-based microbial typing.

Authors:  Christiane Honisch; Yong Chen; Chloe Mortimer; Catherine Arnold; Oliver Schmidt; Dirk van den Boom; Charles R Cantor; Haroun N Shah; Saheer E Gharbia
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-11       Impact factor: 11.205

3.  A system to simultaneously detect tick-borne pathogens based on the variability of the 16S ribosomal genes.

Authors:  Jana Melničáková; Marketa Derdáková; Imrich Barák
Journal:  Parasit Vectors       Date:  2013-09-18       Impact factor: 3.876

4.  Cross Sectional Study and Risk Factors Analysis of Francisella tularensis in Soil Samples in Punjab Province of Pakistan.

Authors:  Javed Muhammad; Masood Rabbani; Muhammad Zubair Shabbir; Khushi Muhammad; Muhammad Taslim Ghori; Haroon Rashid Chaudhry; Zia Ul Hassnain; Tariq Jamil; Tariq Abbas; Muhammad Hamid Chaudhry; Muhammad Haisem-Ur-Rasool; Muhammad Asad Ali; Muhammad Nisar; Girish S Kirimanjeswara; Bhushan M Jayarao
Journal:  Front Cell Infect Microbiol       Date:  2019-04-05       Impact factor: 5.293

5.  Molecular approaches to recognize relevant and emerging infectious diseases in animals.

Authors:  Fredrik Granberg; Oskar E Karlsson; Mikael Leijon; Lihong Liu; Sándor Belák
Journal:  Methods Mol Biol       Date:  2015

6.  Design and applicability of DNA arrays and DNA barcodes in biodiversity monitoring.

Authors:  Mehrdad Hajibabaei; Gregory A C Singer; Elizabeth L Clare; Paul D N Hebert
Journal:  BMC Biol       Date:  2007-06-13       Impact factor: 7.431

7.  Microarray for Identification of the Chiropteran Host Species of Rabies Virus in Canada.

Authors:  Oliver Lung; Susan Nadin-Davis; Mathew Fisher; Anthony Erickson; M Kimberly Knowles; Tara Furukawa-Stoffer; Aruna Ambagala
Journal:  Microarrays (Basel)       Date:  2013-05-31

Review 8.  Characterization of microbial pathogens by DNA microarrays.

Authors:  Antoine Huyghe; Patrice Francois; Jacques Schrenzel
Journal:  Infect Genet Evol       Date:  2008-11-17       Impact factor: 3.342

9.  Establishment and evaluation of an overlap extension polymerase chain reaction technique for rapid and efficient detection of drug-resistance in Mycobacterium tuberculosis.

Authors:  Jungang Li; Jing Ouyang; Jing Yuan; Tongxin Li; Ming Luo; Jing Wang; Yaokai Chen
Journal:  Infect Dis Poverty       Date:  2022-03-24       Impact factor: 4.520

  9 in total

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