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Identification of an Isolate of Citrus Tristeza Virus by Nanopore Sequencing in Korea and Development of a CRISPR/Cas12a-based Assay for Rapid Visual Detection of the Virus.
Kim, Hae-Jun; Cho, In-Sook; Choi, Se-Ryung; Jeong, Rae-Dong.
Affiliation
  • Kim HJ; Chonnam National University, 34931, Department of Applied Biology, Gwangju, Jeollanam-do, Korea (the Republic of); wns980508@naver.com.
  • Cho IS; Rural Development Administration, 54670, Horticultural and Herbal Crop Environment Division, National institute of horticultural and herbal science, Wanju, Jeollabuk-do, Korea (the Republic of); tuat@korea.kr.
  • Choi SR; National Institute of Horticultural and Herbal Science, 588019, Wanju-gun, Jeollabuk-do, Korea (the Republic of); seryung0803@korea.kr.
  • Jeong RD; Chonnam National University, 34931, Department of Applied Biology, 77 Yongbong-ro, Buk-gu, Gwangju, Korea (the Republic of), 61186; jraed2@jnu.ac.kr.
Phytopathology ; 2023 Dec 11.
Article in En | MEDLINE | ID: mdl-38079355
ABSTRACT
Citrus tristeza virus (CTV) is a highly destructive viral pathogen posing a significant threat to citrus crops worldwide. The disease management and crop protection strategies necessitate the development of rapid and accurate detection methods. In this study, we employed Oxford Nanopore sequencing (ONT) to detect CTV in Citrus unshiu samples. Subsequently, we developed a specific and sensitive detection assay combining CRISPR/Cas12a with reverse transcription-recombinase polymerase amplification. The CRISPR-Cas12a assay exhibited exceptional specificity for CTV, surpassing conventional RT-PCR by at least 10-fold in sensitivity. Remarkably, the developed assay detected CTV in field samples, with zero false negatives. This diagnostic approach is user-friendly, cost-effective, and offers tremendous potential for rapid on-site detection of CTV. Therefore, the CRISPR-Cas12a assay plays a significant role in managing and preserving citrus trees that are free from viruses in the industry.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Phytopathology Journal subject: BOTANICA Year: 2023 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Phytopathology Journal subject: BOTANICA Year: 2023 Type: Article