Development of a reverse transcription-droplet digital PCR method for absolute quantification of citrus tatter leaf virus

被引:3
|
作者
Zhao, Jinfa [1 ]
Wang, Ying [1 ]
Zhang, Xingkai [1 ]
Zeng, Ting [1 ]
Qin, Yangyang [1 ]
Shen, Wanxia [1 ]
Zhang, Wei [1 ,2 ]
Zhou, Yan [1 ]
机构
[1] Southwest Univ, Citrus Res Inst, Natl Citrus Engn & Technol Res Ctr, Chongqing 400712, Peoples R China
[2] Agr & Rural Affairs Sichuan Prov, Plant Protect Stn Dept, Chengdu 640041, Peoples R China
基金
国家重点研发计划;
关键词
citrus tatter leaf virus; Droplet digital PCR; Quantitation; ASSAY; APPLE;
D O I
10.1007/s10658-021-02357-x
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
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 x 10(5) copies/mu L, 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.
引用
收藏
页码:743 / 749
页数:7
相关论文
共 50 条
  • [41] Full genome characterization of 12 citrus tatter leaf virus isolates for the development of a detection assay
    Tan, Shih-hua
    Osman, Fatima
    Bodaghi, Sohrab
    Dang, Tyler
    Greer, Greg
    Huang, Amy
    Hammado, Sarah
    Abu-Hajar, Shurooq
    Campos, Roya
    Vidalakis, Georgios
    PLOS ONE, 2019, 14 (10):
  • [42] Detection and Quantification of Apple Stem Grooving Virus in Micropropa- gated Apple Plantlets Using Reverse-Transcription Droplet Digital PCR
    Kim, Sung-Woong
    Lee, Hyo-Jeong
    Cho, Kang Hee
    Jeong, Rae-Dong
    PLANT PATHOLOGY JOURNAL, 2022, 38 (04): : 417 - 422
  • [43] Droplet volume variability as a critical factor for accuracy of absolute quantification using droplet digital PCR
    Alexandra Bogožalec Košir
    Carla Divieto
    Jernej Pavšič
    Stefano Pavarelli
    David Dobnik
    Tanja Dreo
    Roberto Bellotti
    Maria Paola Sassi
    Jana Žel
    Analytical and Bioanalytical Chemistry, 2017, 409 : 6689 - 6697
  • [44] Droplet volume variability as a critical factor for accuracy of absolute quantification using droplet digital PCR
    Kosir, Alexandra Bogozalec
    Divieto, Carla
    Pavsic, Jernej
    Pavarelli, Stefano
    Dobnik, David
    Dreo, Tanja
    Bellotti, Roberto
    Sassi, Maria Paola
    Zel, Jana
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2017, 409 (28) : 6689 - 6697
  • [45] Droplet Digital PCR Method for Absolute BCR-ABL1 Major and Minor Transcript Quantification
    Schandl, C. A.
    Wang, Y.
    Woolworth-Hirschhorn, J.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2017, 19 (06): : 967 - 968
  • [46] RT-PCR-RFLP for genetic diversity analysis of the citrus tatter leaf virus strain of Apple stem grooving virus
    Zhen Song
    Kehong Liu
    Zhongan Li
    Changyong Zhou
    European Journal of Plant Pathology, 2016, 144 : 687 - 692
  • [47] MethyLight droplet digital PCR for detection and absolute quantification of infrequently methylated alleles
    Yu, Ming
    Carter, Kelly T.
    Makar, Karen W.
    Vickers, Kathy
    Ulrich, Cornelia M.
    Schoen, Robert E.
    Brenner, Dean
    Markowitz, Sanford D.
    Grady, William M.
    EPIGENETICS, 2015, 10 (09) : 803 - 809
  • [48] An integrated droplet digital PCR gene chip for absolute quantification of nucleic acid
    Xiangkai Meng
    Yuanhua Yu
    Ping Gong
    Guangyong Jin
    Microfluidics and Nanofluidics, 2021, 25
  • [49] Droplet digital PCR enabled by microfluidic impact printing for absolute gene quantification
    Pan, Yang
    Ma, Tuo
    Meng, Qi
    Mao, Yuxin
    Chu, Kaiqin
    Men, Yongfan
    Pan, Tingrui
    Li, Baoqing
    Chu, Jiaru
    Li, Baoqing (bqli@ustc.edu.cn), 1600, Elsevier B.V., Netherlands (211):
  • [50] An integrated droplet digital PCR gene chip for absolute quantification of nucleic acid
    Meng, Xiangkai
    Yu, Yuanhua
    Gong, Ping
    Jin, Guangyong
    MICROFLUIDICS AND NANOFLUIDICS, 2021, 25 (07)