MOLECULAR DETECTION AND ANALYSIS OF BACTERIAL PANICLE BLIGHT PATHOGENS IN RICE FIELD IN MALAYSIA

• Published in: Malaysian Journal of Biochemistry and Molecular Biology
• Main Author: Anuar N.R.T.; Roslan R.A.; Ahmad L.W.Z.; Kambol R.; Mohamad S.A.S.; Aris F.; Zakaria N.A.; Yunus N.M.
• Format: Article
• Language: English
• Published: Malaysian Society for Biochemistry and Molecular Biology 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205026163&partnerID=40&md5=ac05351d19eec0148eb9f788e489ac35

Bacterial panicle blight (BPB) disease is one of the major diseases of rice worldwide. Rapid detection of pathogens is compulsory to lead up to the discovery of effective control method and resistant cultivar. In Malaysia, BPB was first detected in Sungai Ache, Pahang, Malaysia before it spreads throughout Peninsular Malaysia. BPB has been estimated to affect up to 50% of the rice populations. This study aims to identify the pathogens associated with BPB disease that infected rice fields in Peninsular Malaysia through molecular technique, without the culturing procedure, in order to propose a rapid and effective isolation method for pathogen detection from infected rice seeds. The seed samples, which exhibited BPB symptom and without symptom, were collected from five populations of rice fields in Sungai Burong, Selangor, Malaysia. The isolated DNA was characterized molecularly using polymerase chain reaction (PCR) and sequencing based on 16s rRNA. A total of 16 sequences were analyzed to find regions of local similarity between sequences through BLAST. Based on 16s rRNA phylogenetic analysis, 3 strains were clustered under the clade of Burkholderia glumae and another 3 were clustered with Pantoea agglomerans clade with bootstrap confidence value of 98 % and 100 %, respectively. Results from Data Analysis in Molecular Biology and Evolution (DAMBE) and Automatic Barcode Gap Discovery (ABGD) gave significant support and validate the phylogenetic analysis. A complete examination of bacterial genomic separation methods, as well as phylogenetic analysis of 16S marker for BPB pathogens would provide an effective and rapid tool for pathogens detection in crop biosecurity in agricultural industry. © 2023 Malaysian Society for Biochemistry and Molecular Biology. All rights reserved.