Journals
  Publication Years
  Keywords
Search within results Open Search
Please wait a minute...
For Selected: Toggle Thumbnails
Apple stem grooving virus is associated with leaf yellow mottle mosaic disease on Citrus grandis cv. Huangjinmiyou in China
XUAN Zhi-you, ZHANG Song, LI Ping, YANG Fang-yun, CHEN Hong-ming, LIU Ke-hong, ZHOU Yan, LI Zhong-an, ZHOU Chang-yong, CAO Meng-ji
2022, 21 (7): 2031-2041.   DOI: 10.1016/S2095-3119(21)63823-6
Abstract201)      PDF in ScienceDirect      
Although it is usually latent on citrus, apple, and pear, apple stem grooving virus (ASGV) poses a great risk to many sensitive cultivars.  Since severe leaf yellow mottle mosaic (LYMM) symptoms have been observed on Huangjinmiyou (HJY) pummelos (Citrus grandis cv. Huangjinmiyou), a commercial variety that is widely cultivated in South China, high throughput sequencing (HTS) was used to find potential pathogens and only three divergent ASGV variants were identified.  The three ASGV variants shared 81.03–82.34% genome-wide pairwise identities with each other, and were separately closest to other ASGV variants from different hosts and/or geographical regions, as indicated by viral phylogenies.  However, these new variants may have developed from viral interstrain interactions, based on the results of recombination analysis.  A large-scale survey using reverse transcription-PCR (RT-PCR) protocols designed for the three ASGV variants revealed a high incidence (92.7–100%) of ASGV in symptomatic HJY trees from 11 major citrus-producing regions in China.  None of ASGV were detected in asymptomatic trees.  Temperature treatments applied to the symptomatic HJY plants showed that ASGV is sensitive to high temperatures (30–35°C), at which not only the plants recovered, but also the viruses were not detected by RT-PCR, while at low temperatures (20–24°C), both the symptoms and viruses remained detectable.  These data show that ASGV is associated with the LYMM disease prevalent on HJY in China, and this is the significant basis especially of taking appropriate measures timely to manage the disease.  
Reference | Related Articles | Metrics
Effect of temperature on the development of sclerotia in Villosiclava virens
FAN Lin-lin, YONG Ming-li, LI Dan-yang, LIU Yi-jia, LAI Chao-hui, CHEN Hong-ming, CHENG Fang-min, HU Dong-wei
2016, 15 (11): 2550-2555.   DOI: 10.1016/S2095-3119(16)61400-4
Abstract3004)      PDF in ScienceDirect      
    The sclerotia of Villosiclava virens were found commonly in high altitude and the temperate regions, where the temperatures are relatively low in rice filling stage. To make sure if low temperature induce the sclerotial formation in V. virens, the inoculated rice panicles in laboratory and the diseased rice panicles cut from paddy fields were treated under different temperatures. The results showed that 3 days of night temperature at 15°C were enough to induce the sclerotial formation. The low temperature was much more effective for young balls with intact membranes. After appearance of chlamydospores on the ball surfaces, the sclerotium could not differentiate anymore. The sclerotia began to differentiate below the chlamydospore layer and gradually grew onto the ball surfaces. This suggests that low temperature in the early development stage of false smut balls is an important factor to induce the sclerotial differentiation, and rice cultivars with long growth periods are able to produce more sclerotium-bearing balls, which will produce mass of spores in paddy field in the coming year.
Reference | Related Articles | Metrics
Survey and examination of the potential alternative hosts of Villosiclava virens, the pathogen of rice false smut, in China
DENG Qi-de, YONG Ming-li, LI Dan-yang, LAI Chao-hui, CHEN Hong-ming, FAN Jing, HU Dong-wei
2015, 14 (7): 1332-1337.   DOI: 10.1016/S2095-3119(15)61030-9
Abstract2021)      PDF in ScienceDirect      
Rice false smut is caused by ascomycete Villosiclava virens, whose potential alternative hosts have been assumed previously. Here its potential alternative hosts were surveyed and identified from 2008 to 2013 in the main rice-growing regions in China. Two common weeds in paddy fields, Digitaria sanguinalis Scop. and Echinochloa crusgalli (L.) Beauv., were found to present the similar symptoms to smut diseases in a few individuals in 2012 and 2013 in Zhejiang and Sichuan provinces of China, respectively. After the examinations of the spore morphology, their infection and extension mode in hosts, pathogen cell wall components, and molecular identification, the two pathogens were identified to be the Basidiomycetes, Ustilago syntherismae and Ustilago trichophora, respectively. So far there has been no alternative host of V. virens to be identified in China. These suggest that the alternative hosts of V. virens, if they do exist, are not possible to play an important role in the pathogen life cycle and the disease epidemics.
Reference | Related Articles | Metrics
The complete genome sequence of Citrus vein enation virus from China
HUANG Ai-jun, SONG Zhen, CAO Meng-ji, CHEN Hong-ming, LI Zhong-an, ZHOU Chang-yong
2015, 14 (3): 598-601.   DOI: 10.1016/S2095-3119(14)60903-5
Abstract2168)      PDF in ScienceDirect      
The complete nucleotide sequence of an isolate of Citrus vein enation virus (CVEV-XZG) from China has been determined for the first time. The genome consisted of 5 983 nucleotides, coding for five open reading frames (ORFs), had a similar genomic organization features with Pea enation mosaic virus (PEMV). Nucleotide and deduced amino acid sequence identity of the five ORFs compared to isolate CVEV VE-1 range from 97.1 to 99.0% and 97.4 to 100.0%, these values compared to isolate PEMV-1 range from 45.2 to 51.6% and 31.1 to 45.2%. Phylogenetic analysis based on the complete genome sequence showed that the isolate CVEV-XZG had close relationship with Pea enation mosaic virus. The results supports CVEV may be a new member of genus Enamovirus. The full sequence of CVEV-XZG presented here may serve as a basis for future study of CVEV in China.
Reference | Related Articles | Metrics
An Insect Imaging System to Automate Rice Light-Trap Pest Identification
YAO Qing, LIU Qing-jie, YANG Bao-jun, CHEN Hong-ming, TANG Jian
2012, 12 (6): 978-985.   DOI: 10.1016/S1671-2927(00)8621
Abstract1776)      PDF in ScienceDirect      
Identification and counting of rice light-trap pests are important to monitor rice pest population dynamics and make pest forecast. Identification and counting of rice light-trap pests manually is time-consuming, and leads to fatigue and an increase in the error rate. A rice light-trap insect imaging system is developed to automate rice pest identification. This system can capture the top and bottom images of each insect by two cameras to obtain more image features. A method is proposed for removing the background by color difference of two images with pests and non-pests. 156 features including color, shape and texture features of each pest are extracted into an support vector machine (SVM) classifier with radial basis kernel function. The seven-fold cross-validation is used to improve the accurate rate of pest identification. Four species of Lepidoptera rice pests are tested and achieved 97.5% average accurate rate.
Reference | Related Articles | Metrics