1. Development of a reverse transcription-droplet digital PCR method for absolute quantification of citrus tatter leaf virus
- Author
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Jinfa Zhao, Ying Wang, Yan Zhou, Ting Zeng, Wanxia Shen, Wei Zhang, Yangyang Qin, and Xingkai Zhang
- Subjects
Reaction conditions ,Absolute quantification ,Leaf disease ,food and beverages ,Digital polymerase chain reaction ,Plant Science ,Horticulture ,Biology ,Agronomy and Crop Science ,Quantitative correlation ,Molecular biology ,Reverse transcriptase ,Virus - Abstract
Tatter leaf disease caused by citrus tatter leaf virus (CTLV) is a serious threat to the citrus industry. In this study, a reverse transcription-droplet digital polymerase chain reaction (RT-ddPCR) assay for detection of CTLV was established by optimizing the reaction conditions. The dynamic range of the detection of CTLV RNA transcripts by RT-ddPCR was from 5 to 5 × 105 copies/μL, and the sensitivity was 10 times higher than that of RT real-time PCR. Both techniques showed a high degree of linearity and quantitative correlation. The number of positive samples that was identified in field citrus samples using RT-ddPCR (62.3%) was higher than that of RT-qPCR (49.2%). The results demonstrated that the RT-ddPCR assay is a promising tool for improving CTLV detection.
- Published
- 2021
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