Aims: The outbreak of papaya dieback disease in Malaysia has been reported since 2003. Several reports previously confirmed Erwinia papayae and E. mallotivora to be the causal pathogen of the disease. The present study aimed to identify the causal pathogen of papaya dieback disease in Sabah. Methodology and results: Infected tissues of papaya dieback disease were collected from Kota Belud, Sabah and the bacterium responsible for the infection was isolated on Luria Bertani (LB) agar and nutrient agar (NA). Seven isolates with similar characteristics to Erwinia were isolated, subjected to the Koch’s Postulates test and then identified using 16S rRNA sequencing technique. The bacterium was identified to be E. psidii, a common pathogen to guava but not to papaya. Conclusion, significance and Impact of study: This report serves as the first confirmation of the E. psidii in causing papaya dieback disease, suggesting the possibility of this bacterium undergoing host shifting to papaya plants and the possibility of becoming another major threat to the papaya industry in the future.

To establish the UPLC fingerprint of Zhongyi Angong Niuhuang Pills, in order to evaluate its quality by chemical pattern recognition. The method was developed on a column of Poroshell 120 EC-C_(18), with methanol-0.1% formic acid solution as the mobile phase for gradient elution at a flow rate of 0.4 mL·min~(-1). The column temperature was 30 ℃,and the detective wavelength was 254 nm. The similarity of 24 batches of Angong Niuhuang Pills was compared by using Traditional Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System(2004 A). Hydrophobic cluster analysis,principal components analysis and partial least squares discriminant analysis were conducted by using SIMCA 13.0 software to investigate different components among these products. The UPLC characteristic fingerprint was established in this study. And 17 common peaks were identified by standard reference and UPLC-MS. The similarity of 24 batches samples were above 0.980,which can be classified into three categories for pattern recognition. Baicalin,berberine,jatrorrhizine,wogonin and wogonoside were identified as the main markers that cause differences of various batches. The method is simple,rapid,accurate and reproducible,and can provide scientific basis for improving the quality standard of Zhongyi Angong Niuhuang Pills.
Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal/chemistry* ; Tandem Mass Spectrometry