Submitted to: The Crop Journal
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/3/2014
Publication Date: 7/12/2014
Publication URL: http://handle.nal.usda.gov/10113/60741
Citation: Lu, W., Pan, L., Zhao, H., Jia, Y., Wang, Y., Yu, X., Wang, X. 2014. Molecular detection of Xanthomonas oryzae pv. oryzae, Xanthomonas oryzae pv. oryzicola, and Burkholderia glumae in infected rice seeds and leaves. The Crop Journal. 2:398-406. doi: 10.1016/j.cj.2014.06.005. Interpretive Summary: Rice, one of the most important crops in the world, is constantly challenged by bacterial pathogens. Bacterial blight, caused by Xanthomonas oryzae pv. oryzae, bacterial leaf streak, caused by Xanthomonas oryzae pv. oryzicola, and bacterial panicle blight, caused by Burkholderia glumae, are the most detrimental bacterial pathogens that affect rice. These pathogens are listed as quarantine diseases in many countries. Traditional detection of these pathogens is slow and expensive process. A single polymerase chain reaction test has been developed to detect all three bacterial pathogens. This development will help expedite screenings for these quarantine diseases.
Technical Abstract: Polymerase chain reaction (PCR) is particularly useful for plant pathogen detection. In the present study, multiplex PCR and SYBR green real-time PCR were developed to facilitate simultaneous detection of three important rice pathogens, Xanthomonas oryzae pv. oryzae, X. oryzae pv. oryzicola, and Burkholderia glumae. The unique PCR primer sets were designed from portions of a putative glycosyltransferase gene of X. oryzae pv. oryzae, an AvrRxo gene of X. oryzae pv. oryzicola, and internal transcribed spacer (ITS) sequence of B. glumae. Using mutiplex PCR assay, X. oryzae pv. oryzae, X. oryzae pv. oryzicola, and B. glumae were detected in one PCR reaction that had contained the newly developed primer sets mixed. Using SYBR green real-time PCR assays, X. oryzae pv. oryzae, X. oryzae pv. oryzicola, and B. glumae, were detected with 1 fg/µl, 1 fg/µl, and 10 fg/µl, respectively. These newly designed molecular assays are sensitive and could be reliable tools for pathogen detection and disease forecasting.