scholarly journals Viruliferous rate of small brown planthopper is a good indicator of rice stripe disease epidemics

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Dun-Chun He ◽  
Jiasui Zhan ◽  
Zhao-Bang Cheng ◽  
Lian-Hui Xie
Keyword(s):  
Brown Planthopper ◽  
Small Brown Planthopper ◽  
Rice Stripe Disease ◽  
Disease Epidemics

Rice stripe virus: Exploring Molecular Weapons in the Arsenal of a Negative-Sense RNA Virus

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Yi Xu ◽  
Shuai Fu ◽  
Xiaorong Tao ◽  
Xueping Zhou
Keyword(s):  
Rna Virus ◽  
Brown Planthopper ◽  
Rice Stripe Virus ◽  
Plant Viruses ◽  
Annual Review ◽  
Publication Date ◽  
Host Interactions ◽  
Small Brown Planthopper ◽  
Rice Stripe Disease ◽  
Negative Sense

Rice stripe disease caused by Rice stripe virus (RSV) is one of the most devastating plant viruses of rice and causes enormous losses in production. RSV is transmitted from plant to plant by the small brown planthopper ( Laodelphax striatellus) in a circulative–propagative manner. The recent reemergence of this pathogen in East Asia since 2000 has made RSV one of the most studied plant viruses over the past two decades. Extensive studies of RSV have resulted in substantial advances regarding fundamental aspects of the virus infection. Here, we compile and analyze recent information on RSV with a special emphasis on the strategies that RSV has adopted to establish infections. These advances include RSV replication and movement in host plants and the small brown planthopper vector, innate immunity defenses against RSV infection, epidemiology, and recent advances in the management of rice stripe disease. Understanding these issues will facilitate the design of novel antiviral therapies for management and contribute to a more detailed understanding of negative-sense virus–host interactions at the molecular level. Expected final online publication date for the Annual Review of Phytopathology, Volume 59 is August 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals The 2008 overseas mass migration of the small brown planthopper, Laodelphax striatellus, and subsequent outbreak of rice stripe disease in western Japan

2010 ◽  
Vol 45 (2) ◽  
pp. 259-266 ◽  
Author(s):  
Akira Otuka ◽  
Masaya Matsumura ◽  
Sachiyo Sanada-Morimura ◽  
Hiroaki Takeuchi ◽  
Tomonari Watanabe ◽  
...  
Keyword(s):  
Brown Planthopper ◽  
Laodelphax Striatellus ◽  
Small Brown Planthopper ◽  
Mass Migration ◽  
Rice Stripe Disease ◽  
Western Japan

Genome-Wide Single Nucleotide Polymorphisms are Robust in Resolving Fine-Scale Population Genetic Structure of the Small Brown Planthopper, Laodelphax striatellus (Fallén) (Hemiptera: Delphacidae)

2019 ◽  
Vol 112 (5) ◽  
pp. 2362-2368
Author(s):  
Yan Liu ◽  
Lei Chen ◽  
Xing-Zhi Duan ◽  
Dian-Shu Zhao ◽  
Jing-Tao Sun ◽  
...  
Keyword(s):  
Population Structure ◽  
Discriminant Analysis ◽  
Genetic Structure ◽  
Population Genetic ◽  
Brown Planthopper ◽  
Fine Scale ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Small Brown Planthopper ◽  
Scale Population

Abstract Deciphering genetic structure and inferring migration routes of insects with high migratory ability have been challenging, due to weak genetic differentiation and limited resolution offered by traditional genotyping methods. Here, we tested the ability of double digest restriction-site associated DNA sequencing (ddRADseq)-based single nucleotide polymorphisms (SNPs) in revealing the population structure relative to 13 microsatellite markers by using four small brown planthopper populations as subjects. Using ddRADseq, we identified 230,000 RAD loci and 5,535 SNP sites, which were present in at least 80% of individuals across the four populations with a minimum sequencing depth of 10. Our results show that this large SNP panel is more powerful than traditional microsatellite markers in revealing fine-scale population structure among the small brown planthopper populations. In contrast to the mixed population structure suggested by microsatellites, discriminant analysis of principal components (DAPC) of the SNP dataset clearly separated the individuals into four geographic populations. Our results also suggest the DAPC analysis is more powerful than the principal component analysis (PCA) in resolving population genetic structure of high migratory taxa, probably due to the advantages of DAPC in using more genetic variation and the discriminant analysis function. Together, these results point to ddRADseq being a promising approach for population genetic and migration studies of small brown planthopper.

scholarly journals The Resistances to Rice Stripe Virus and Small Brown Planthopper in Rice Variety, IR 50.

1994 ◽  
Vol 44 (1) ◽  
pp. 13-18
Author(s):  
Hiroshi Nemoto ◽  
Kouichi Ishikawa ◽  
Eiji Shimura
Keyword(s):  
Rice Variety ◽  
Brown Planthopper ◽  
Rice Stripe Virus ◽  
Small Brown Planthopper
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