Using in silico analysis to investigate the false positive potential of qPCR systems for potato disease diagnosis
Author:
Funder
Results Driven Agriculture Research
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10658-024-02928-8.pdf
Reference32 articles.
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2. Boonham, N., González Pérez, L., Mendez, M., Lilia Peralta, E., Blockley, A., Walsh, K., Barker, I., & Mumford, R. (2004). Development of a real-time RT-PCR assay for the detection of Potato spindle tuber viroid. Journal of Virological Methods, 116, 139–146. https://doi.org/10.1016/j.jviromet.2003.11.005
3. Chen, Y., Zhang, W., Liu, X., Ma, Z., Li, B., Allen, C., & Guo, J. (2010). A real-time PCR assay for the quantitative detection of Ralstonia solanacearum in horticultural soil and plant tissues. Journal of Microbiology and Biotechnology, 20, 193–201. https://doi.org/10.4014/jmb.0906.06019
4. Christopherson, C., Sninsky, J., & Kwok, S. (1997). The effects of internal primer-template mismatches on RT-PCR: HIV-1 model studies. Nucleic Acids Research, 25, 654–658. https://doi.org/10.1093/nar/25.3.654
5. Cullen, D., Lees, A., Toth, I., & Duncan, J. (2001). Conventional PCR and real-time quantitative PCR detection of Helminthosporium solani in soil and on potato tubers. European Journal of Plant Pathology, 107, 387–398. https://doi.org/10.1023/A:1011247826231
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