Yongjiang Zhang
China Agricultural University
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Publication
Featured researches published by Yongjiang Zhang.
Journal of Virological Methods | 2011
Yongjiang Zhang; Wenjun Zhao; Mingfu Li; Hongjun Chen; Shuifang Zhu; Z. F. Fan
Maize chlorotic mottle virus (MCMV) causes corn lethal necrosis disease, and can be transmitted through infected maize seeds. It remains a challenge to detect this virus in the seeds to prevent its introduction and infection. For this purpose, a real-time TaqMan RT-PCR procedure for efficient detection of MCMV was developed. The sensitivity of the method was 4 fg of total RNA or 25 copies of RNA transcripts, which was approximately ten-fold higher than conventional RT-PCR gel electrophoresis method. The successful detection of MCMV in maize seeds suggested the feasibility of this procedure for routine testing.
Journal of Virological Methods | 2010
Yongjiang Zhang; Jun Yin; Guifen Li; Mingfu Li; Xin Huang; Hongjun Chen; Wenjun Zhao; Shuifang Zhu
Abstract A major challenge facing agriculture at present is the development of techniques that can screen field samples and other plant materials simultaneously for the presence of many viruses. Microarray techniques show promise in this regard, as their high throughput nature can potentially detect a range of viruses using a single test. In this paper we present an array that can detect a wide spectrum of 169 plant virus species from 13 different genera. The array was constructed using an automated probe design protocol which generated a minimal number of probes to detect viruses at the genus level. The designed arrays showed a high specificity and sensitivity when tested with a set of standard virus samples. Field samples collected from a severe disease outbreak of Panax notoginseng farms in Yunnan, China, in 2001 were screened, where a potyvirus infection was identified associated with the disease.
PLOS ONE | 2013
Yongjiang Zhang; Jun Yin; Dongmei Jiang; Yanyan Xin; Fang Ding; Ziniu Deng; Guoping Wang; Xianfeng Ma; Fang Li; Guifen Li; Mingfu Li; Shifang Li; Shuifang Zhu
A major challenge in the agricultural industry is the development of techniques that can screen plant samples for viroid infection. Microarrays are promising in this regard, as their high throughput nature can potentially allow for the detection of a range of viroids in a single test. In this paper we present a microarray that can detect a wide spectrum of all 8 reported viroid genera including 37 known plant viroid species. The array was constructed using an automated probe design protocol which generated a minimal number of probes to detect viroids at the genus level. The designed microarray showed a high specificity and sensitivity when tested with a set of standard virus samples. Finally, the microarray was applied to screen infected field samples, with Hop stunt viroid infection identified as the major disease causing pathogen for an infected citrus sample.
Journal of Phytopathology | 2012
Haiqing Mou; Yongjiang Zhang; Hong-Xia Li; Shuifang Zhu; Zhihong Li; Wenjun Zhao
Archive | 2012
Yongjiang Zhang; Shifang Li; Ziniu Deng; Shuifang Zhu; Yanyan Xin; Wenjun Zhao; Jianguo Shen; Furong Liao; Meisheng Wei; Guifen Li
Archive | 2011
Mingfu Li; Yongjiang Zhang; Jianyun Ding; Guifen Li; Yonglei Tian; Xiaoyu Chen; Jie Ma; Zhu Zhao; Meisheng Wei; Shuifang Zhu
Phyton (Buenos Aires) | 2012
Sien Li; Yongjiang Zhang; Yk Rui; Xf Chen
Archive | 2012
Zhu Zhao; Yun Song; Mingfu Li; Yongjiang Zhang; Jie Lu; Renrui Wang; Jin Xu
Archive | 2011
Guifen Li; Jie Ma; Yongjiang Zhang; Shuifang Zhu
Archive | 2011
Yongjiang Zhang; Wenjun Zhao; Shuifang Zhu; Guifen Li; Mingfu Li; Meisheng Wei; Ning Xiang