Abstract
Detection and identification of phytoplasmas is a laborious process often involving nested PCR followed by restriction enzyme analysis and fine-resolution gel electrophoresis. To improve throughput, other methods are needed. Microarray technology offers a generic assay that can potentially detect and differentiate all types of phytoplasmas in one assay. The present protocol describes a microarray-based method for identification of phytoplasmas to 16Sr group level.
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References
Deng S, Hiruki C (1991) Amplification of 16S rRNA genes from culturable and nonculturable mollicutes. J Microbiol Meth 14:53–61
Smart CD et al (1996) Phytoplasma-specific PCR primers based on sequences of the 16S–23S rRNA spacer region. Appl Environ Microbiol 62:2988–2993
Gundersen DE, Lee I-M (1996) Ultrasensitive detection of phytoplasmas by nested-PCR assays using two universal primer pairs. Phytopathol Mediterr 35:144–151
Lee I-M et al (1998) Revised classification scheme of phytoplasmas based an RFLP analyses of 16S rRNA and ribosomal protein gene sequences. Int J Syst Bacteriol 48:1153–1169
François C et al (2006) Towards specific diagnosis of plant-parasitic nematodes using DNA oligonucleotide microarray technology: a case study with the quarantine species Meloidogyne chitwoodi. Mol Cell Probes 20:64–69
Nicolaisen M et al (2005) An oligonucleotide microarray for the identification and differentiation of trichothecene producing and non-producing Fusarium species occurring on cereal grain. J Microbiol Meth 62:57–69
Lievens B et al (2006) Detecting single nucleotide polymorphisms using DNA arrays for plant pathogen diagnosis. FEMS Microbiol Lett 255:129–139
Tambong JT et al (2006) Oligonucleotide array for identification and detection of Pythium species. Appl Environ Microbiol 72:2691–2706
Pelludat C, Duffy B, Frey JE (2009) Design and development of a DNA microarray for rapid identification of multiple European quarantine phytopathogenic bacteria. Eur J Plant Pathol 125:413–423
Fessehaie A, De Boer SH, Lévesque CA (2003) An oligonucleotide array for the identification and differentiation of bacteria pathogenic on potato. Phytopathology 93:262–269
Nicolaisen M, Bertaccini A (2007) An oligonucleotide microarray-based assay for identification of phytoplasma 16S ribosomal groups. Plant Pathol 56:332–336
Boonham N, Tomlinson J, Mumford R (2007) Microarrays for rapid identification of plant viruses. Annu Rev Phytopathol 45:307–328
Dufva M (2005) Fabrication of high quality microarrays. Biomol Eng 22:173–184
Zhang L, Hurek T, Reinhold-Hurek B (2005) Position of the fluorescent label is a crucial factor determining signal intensity in microarray hybridizations. Nucleic Acids Res 33:e166
Franke-Whittle IH et al (2006) Comparison of different labeling methods for the production of labeled target DNA for microarray hybridization. J Microbiol Meth 65:117–126
Vora GJ et al (2008) Comparison of detection and signal amplification methods for DNA microarrays. Mol Cell Probes 22:294–300
Prince JP et al (1993) Molecular detection of diverse mycoplasmalike organisms (MLOs) associated with grapevine yellows and their classification with aster yellows, X-disease, and elm yellows MLOs. Phytopathology 83:1130–1137
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Nicolaisen, M., Nyskjold, H., Bertaccini, A. (2013). Microarrays for Universal Detection and Identification of Phytoplasmas. In: Dickinson, M., Hodgetts, J. (eds) Phytoplasma. Methods in Molecular Biology, vol 938. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-089-2_19
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DOI: https://doi.org/10.1007/978-1-62703-089-2_19
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Publisher Name: Humana Press, Totowa, NJ
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Online ISBN: 978-1-62703-089-2
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