Detection and Identification of Six Monilinia spp. Causing Brown Rot Using TaqMan Real-Time PCR from Pure Cultures and Infected Apple Fruit

被引:12
|
作者
Wang, Jing-ru [1 ,2 ]
Guo, Li-yun [1 ,2 ]
Xiao, Chang-lin [3 ]
Zhu, Xiao-qiong [1 ,2 ]
机构
[1] China Agr Univ, Coll Plant Protect, Dept Plant Pathol, Beijing 100193, Peoples R China
[2] China Agr Univ, Coll Plant Protect, MOA Key Lab Pest Monitoring & Green Management, Beijing 100193, Peoples R China
[3] USDA ARS, San Joaquin Valley Agr Sci Ctr, Parlier, CA 93648 USA
基金
中国国家自然科学基金;
关键词
1ST REPORT; STONE FRUITS; PEACH ORCHARDS; FRUCTICOLA; FUNGI; CHINA; FRUCTIGENA; POLYSTROMA; QUANTIFICATION; CALIFORNIA;
D O I
10.1094/PDIS-10-17-1662-RE
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Brown rot is a severe disease affecting stone and pome fruit. This disease was recently confirmed to be caused by the following six closely related species: Monilinia fructicola, M. laxa, M. fructigena, Monilia poly-stroma, M. mumecola, and M. yunnanensis. Because of differences in geographic distributions, some of these species are important quarantine pathogens in certain countries. In this study, we developed TaqMan realtime polymerase chain reaction (PCR) assays to detect and identify the six species. Primer pairs and probes were designed for Monilinia fructicola, M. fructigena, M. laxa, and Monilia polystroma based on sequence differences in the laccase-2 genes. Additionally, based on sequence differences in the elongation factor genes, primer pairs and probes were designed for Monilia mumecola and M. yunnanensis. The real-time PCR assays were able to specifically identify the target pathogens, with detection limits of 10 to 100 fg of DNA, which is equivalent to one to seven conidia. The assays were also able to detect the target pathogens in a mixed DNA sample comprising all six Monilinia spp. and related species. The real-time PCR assays accurately detected target fungi from infected apple fruit. Furthermore, the identification results were consistent with those of traditional morphological methods.
引用
收藏
页码:1527 / 1533
页数:7
相关论文
共 50 条
  • [21] Two new superior primer pairs for universal detection of Xylella spp. in conventional PCR and TaqMan quantitative real-time PCR
    Ito, Takao
    Chiaki, Yuya
    JOURNAL OF MICROBIOLOGICAL METHODS, 2021, 189
  • [22] Identification of Neofabraea species causing bull's eye rot of apple in Poland and their direct detection in apple fruit using multiplex PCR
    Michalecka, M.
    Bryk, H.
    Poniatowska, A.
    Pulawska, J.
    PLANT PATHOLOGY, 2016, 65 (04) : 643 - 654
  • [23] Identification of distinct ciprofloxacin susceptibility in Acinetobacter spp. by detection of the gyrA gene mutation using real-time PCR
    Sheng, Wang-Huei
    Lin, Yu-Chi
    Wang, Jann-Tay
    Chen, Yee-Chun
    Chang, Shan-Chwen
    Hsia, Ko-Chiang
    Wu, Ruei-Jiuan
    Li, Shu-Ying
    MOLECULAR AND CELLULAR PROBES, 2009, 23 (3-4) : 154 - 156
  • [24] Identification and quantitative detection of Legionella spp. in various aquatic environments by real-time PCR assay
    Kao, Po-Min
    Tung, Min-Che
    Hsu, Bing-Mu
    Chiu, Yi-Chou
    She, Cheng-Yu
    Shen, Shu-Min
    Huang, Yu-Li
    Huang, Wen-Chien
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2013, 20 (09) : 6128 - 6137
  • [25] Development of a Real-Time PCR Assay for the Detection and Identification of Rubus Stunt Phytoplasma in Rubus spp.
    Bennypaul, Harvinder
    Sanderson, Daniel
    Donaghy, Peri
    Abdullahi, Ismail
    PLANT DISEASE, 2023, 107 (08) : 2296 - 2306
  • [26] Detection of Bartonella spp. in wild rodents in Israel using HRM real-time PCR
    Morick, Danny
    Baneth, Gad
    Avidor, Boaz
    Kosoy, Michael Y.
    Mumcuoglu, Kosta Y.
    Mintz, Dvir
    Eyal, Osnat
    Goethe, Ralph
    Mietze, Andreas
    Shpigel, Nahum
    Harrus, Shimon
    VETERINARY MICROBIOLOGY, 2009, 139 (3-4) : 293 - 297
  • [27] Identification and quantitative detection of Legionella spp. in various aquatic environments by real-time PCR assay
    Po-Min Kao
    Min-Che Tung
    Bing-Mu Hsu
    Yi-Chou Chiu
    Cheng-Yu She
    Shu-Min Shen
    Yu-Li Huang
    Wen-Chien Huang
    Environmental Science and Pollution Research, 2013, 20 : 6128 - 6137
  • [28] Development and Evaluation of Real-Time Quantitative PCR Assays for Detection of Phellinus noxius Causing Brown Root Rot Disease
    Liu, Tse-Yen
    Chen, Chao-Han
    Ko, Yi-Chun
    Wu, Zong-Chi
    Liao, Ting-Zhi
    Lee, Hsin-Han
    Tsai, Isheng Jason
    Chang, Tun-Tschu
    Wu, Meng-Ling
    Tsai, Jyh-Nong
    Klopfenstein, Ned B.
    Kim, Mee-Sook
    Stewart, Jane E.
    Atibalentja, Ndeme
    Brooks, Fred E.
    Cannon, Philip G.
    Farid, A. Mohd
    Hattori, Tsutomu
    Kwan, Hoi-Shan
    Lam, Regent Yau Ching
    Ota, Yuko
    Sahashi, Norio
    Schlub, Robert L.
    Shuey, Louise S.
    Tang, Alvin M. C.
    Chung, Chia-Lin
    PLANT DISEASE, 2024, 108 (11) : 3288 - 3299
  • [29] Quantitative detection and identification of Naegleria spp. in various environmental water samples using real-time quantitative PCR assay
    Kao, Po-Min
    Tung, Min-Che
    Hsu, Bing-Mu
    Chou, Ming-Yuan
    Yang, Hsiu-Wu
    She, Cheng-Yu
    Shen, Shu-Min
    PARASITOLOGY RESEARCH, 2013, 112 (04) : 1467 - 1474
  • [30] Quantitative detection and identification of Naegleria spp. in various environmental water samples using real-time quantitative PCR assay
    Po-Min Kao
    Min-Che Tung
    Bing-Mu Hsu
    Ming-Yuan Chou
    Hsiu-Wu Yang
    Cheng-Yu She
    Shu-Min Shen
    Parasitology Research, 2013, 112 : 1467 - 1474