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Publishing Language: Chinese

Real-Time Quantitative PCR Detection of Citrus Yellow Mosaic Virus and Its Spatial and Temporal Distribution in Host Plants

Peng CAO( ), JianJian XU( ), ChuXin LI, XinLiang WANG, ChunQing WANG, ChenHu SONG, Zhen SONG( )
Citrus Research Institute, Southwest University/National Citrus Engineering Research Center, Chongqing 400712
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Abstract

【Background】

Citrus yellow mosaic virus (CYMV) is a member of badnaviruses that was first discovered in India and caused serious damage to its citrus industry. At present, CYMV has been listed as a quarantine pest in the United States, Japan, New Zealand, Europe and the Mediterranean region, which has the potential risk of being introduced into China.

【Objective】

The objective of this study is to establish a real-time quantitative PCR (qPCR) detection system for CYMV, screen sensitive citrus varieties to CYMV, elucidate the spatial and temporal distribution of CYMV in host plant, and to provide technical support for monitoring of the virus.

【Method】

According to the conserved sequences of CYMV coat protein (CP) gene in NCBI, eight pairs of qPCR primers were designed using software Primer Premier 5, and were screened by conventional PCR for primer pairs with good amplification effect and high specificity. The concentration and annealing temperature of the primers were optimized to establish the CYMV qPCR detection system. The specificity of the system was evaluated by detecting different citrus pathogens. Conventional PCR and qPCR were performed in parallel with 1.98×109-1.98 copies/μL of plasmid standards diluted in a gradient as template to evaluate the sensitivity of the established system. The field citrus samples were collected randomly and detected using conventional PCR and qPCR in parallel to evaluate the applicability of the method. Fifteen citrus varieties including Yuhuanyou (Citrus grandis), Chandler pomelo (C. grandis), No.22 karatachi (Poncirus trifoliata), etc., were inoculated with CYMV for symptom observation and molecular detection to screen sensitive indicator plants. Samples from different tissues of Madam Vinous orange (C. sinensis) plants were collected at different times post inoculation, and qPCR assays were performed with C. sinensis elongation factor 1 alpha as an internal reference gene to clarify the spatial and temporal distribution patterns of CYMV in the host plants.

【Result】

The qPCR detection system for CYMV was established with the optimal primer of CYMV-qF7/R7, the optimal concentration 200 nmol·L-1 and the optimal annealing temperature 63 ℃. The results of the evaluation experiments showed that the specificity of the established qPCR system is strong, and the detection sensitivity is 1 000 times that of the conventional PCR. The detection results of 660 field citrus samples from different regions showed that the qPCR assay was consistent with the conventional PCR assay, and no CYMV-positive plants were detected except for the positive control. Among the 15 citrus varieties in the inoculation experiment, Yuhuanyou and Chandler pomelo showed strong and typical yellowing mosaic symptoms of CYMV infection at the earliest, suggesting that both could be used as sensitive indicator plants. The detection results of qPCR showed that the titer of CYMV in old leaves was the highest, the titer of virus in old cortex and root was higher, and the titer in tender cortex was lower. The relative content of CYMV in plants was highest from July to September, then decreased month by month, and reached the lowest value in January of the next year. From February of the next year, the relative content of CYMV began to rise, which was consistent with the change trend of the environmental temperature.

【Conclusion】

A qPCR assay for CYMV detection with high specificity and sensitivity was established, and the spatial and temporal distribution pattern of CYMV in the host plants was determined. In addition, Yuhuanyou and Chandler pomelo can be used as CYMV-sensitive indicator plants.

References

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Scientia Agricultura Sinica
Pages 3574-3584

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Cite this article:
CAO P, XU J, LI C, et al. Real-Time Quantitative PCR Detection of Citrus Yellow Mosaic Virus and Its Spatial and Temporal Distribution in Host Plants. Scientia Agricultura Sinica, 2023, 56(18): 3574-3584. https://doi.org/10.3864/j.issn.0578-1752.2023.18.007

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Received: 14 June 2023
Accepted: 19 July 2023
Published: 16 September 2023
© 2023 The Journal of Scientia Agricultura Sinica