Morphological and molecular characterization of fungal pathogen, Magnaphorthe oryzae

N. Hasan, M. Rafii, H. A. Rahim, N. Ali, N. Mazlan, S. Abdullah
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引用次数: 4

Abstract

Rice is arguably the most crucial food crops supplying quarter of calories intake. Fungal pathogen, Magnaphorthe oryzae promotes blast disease unconditionally to gramineous host including rice species. This disease spurred an outbreaks and constant threat to cereal production. Global rice yield declining almost 10-30% including Malaysia. As Magnaphorthe oryzae and its host is model in disease plant study, the rice blast pathosystem has been the subject of intense interest to overcome the importance of the disease to world agriculture. Therefore, in this study, our prime objective was to isolate samples of Magnaphorthe oryzae from diseased leaf obtained from MARDI Seberang Perai, Penang, Malaysia. Molecular identification was performed by sequences analysis from internal transcribed spacer (ITS) region of nuclear ribosomal RNA genes. Phylogenetic affiliation of the isolated samples were analyzed by comparing the ITS sequences with those deposited in the GenBank database. The sequence of the isolate demonstrated at least 99% nucleotide identity with the corresponding sequence in GenBank for Magnaphorthe oryzae. Morphological observed under microscope demonstrated that the structure of conidia followed similar characteristic as M. oryzae. Finding in this study provide useful information for breeding programs, epidemiology studies and improved disease management.
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真菌病原菌米Magnaphorthe oryzae的形态与分子特征
大米可以说是最重要的粮食作物,提供了四分之一的卡路里摄入量。真菌病原菌稻瘟病菌无条件地向禾本科寄主(包括水稻)传播稻瘟病。这种疾病引发了疫情,并持续威胁着谷物生产。包括马来西亚在内的全球水稻产量下降了近10-30%。稻瘟病作为病害植物研究的模式,稻瘟病的病理系统一直是人们关注的热点,以克服稻瘟病对世界农业的重要性。因此,在本研究中,我们的主要目的是从马来西亚槟城的MARDI Seberang Perai的病叶中分离出Magnaphorthe oryzae样本。通过核糖体RNA基因内部转录间隔区(ITS)序列分析进行分子鉴定。将分离样品的ITS序列与GenBank数据库中的ITS序列进行比较,分析其系统亲缘性。该分离物序列与GenBank中对应的Magnaphorthe oryzae序列至少有99%的核苷酸同源性。显微镜下形态学观察表明,分生孢子的结构与米芽孢杆菌具有相似的特征。本研究结果为育种规划、流行病学研究和改进疾病管理提供了有用的信息。
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来源期刊
Mathematics in Engineering, Science and Aerospace
Mathematics in Engineering, Science and Aerospace Mathematics-Applied Mathematics
CiteScore
1.70
自引率
0.00%
发文量
0
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