Phylogenetic Analysis of Diaporthe destruens Isolates From Various Regions in Japan

IF 1.1 4区 农林科学 Q3 PLANT SCIENCES
Shuichi Hashimoto, Masato Kawabe, Shigenobu Yoshida
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引用次数: 0

Abstract

Sweet potato foot rot, caused by Diaporthe destruens, has been recently reported in various regions in Japan. To investigate genetic diversity of D. destruens within Japan, 135 isolates of D. destruens were collected in 12 prefectures in Japan, and ITS, TUB, TEF, H3 and CAL regions were sequenced. In all regions, there was no difference of sequence among all collected isolates, implying high genetic homogeneity of the fungus spread in Japan. A phylogenetic tree was constructed for ITS sequence with other strains registered in NCBI database. In the tree, our samples were positioned closely to samples in Korea and China but distant from most of the samples in Taiwan. Our study implies genetic relationships between D. destruens strains in Japan and other countries.

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来源期刊
Journal of Phytopathology
Journal of Phytopathology 生物-植物科学
CiteScore
2.90
自引率
0.00%
发文量
88
审稿时长
4-8 weeks
期刊介绍: Journal of Phytopathology publishes original and review articles on all scientific aspects of applied phytopathology in agricultural and horticultural crops. Preference is given to contributions improving our understanding of the biotic and abiotic determinants of plant diseases, including epidemics and damage potential, as a basis for innovative disease management, modelling and forecasting. This includes practical aspects and the development of methods for disease diagnosis as well as infection bioassays. Studies at the population, organism, physiological, biochemical and molecular genetic level are welcome. The journal scope comprises the pathology and epidemiology of plant diseases caused by microbial pathogens, viruses and nematodes. Accepted papers should advance our conceptual knowledge of plant diseases, rather than presenting descriptive or screening data unrelated to phytopathological mechanisms or functions. Results from unrepeated experimental conditions or data with no or inappropriate statistical processing will not be considered. Authors are encouraged to look at past issues to ensure adherence to the standards of the journal.
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