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
  • [1] A real-time (TaqMan) PCR assay to differentiate Monilinia fructicola from other brown rot fungi of fruit crops
    van Brouwershaven, I. R.
    Bruil, M. L.
    van Leeuwen, G. C. M.
    Kox, L. F. F.
    PLANT PATHOLOGY, 2010, 59 (03) : 548 - 555
  • [2] Proficiency of real-time PCR detection of latent Monilinia spp. infection in nectarine flowers and fruit
    Garcia-Benitez, Carlos
    Melgarejo, Paloma
    Beniusis, Arunas
    Guinet, Cecile
    Ozben, Sureyya
    Degirmenci, Kemal
    Valente, Maria Teresa
    Riccioni, Luca
    De Cal, Antonieta
    PHYTOPATHOLOGIA MEDITERRANEA, 2017, 56 (02) : 242 - 250
  • [3] Development of monoclonal antibodies for the detection and identification of Monilinia spp causing brown rot of stone and Pome fruit
    Banks, JN
    Rizvi, RH
    Lane, CR
    Hughes, KJD
    Cook, RTA
    DIAGNOSIS AND IDENTIFICATION OF PLANT PATHOGENS, 1997, 11 : 391 - 393
  • [4] Two different PCR approaches for universal diagnosis of brown rot and identification of Monilinia spp. in stone fruit trees
    Gell, I.
    Cubero, J.
    Melgarejo, P.
    JOURNAL OF APPLIED MICROBIOLOGY, 2007, 103 (06) : 2629 - 2637
  • [5] Real-time PCR for detection and identification of Plasmodium spp.
    Mangold, KA
    Manson, RU
    Koay, ESC
    Stephens, L
    Regner, M
    Thomson, RB
    Peterson, LR
    Kaul, KL
    JOURNAL OF CLINICAL MICROBIOLOGY, 2005, 43 (05) : 2435 - 2440
  • [6] A TaqMan real-time PCR-based assay for the identification of Fasciola spp.
    Alasaad, Samer
    Soriguer, Ramon C.
    Abu-Madi, Marawan
    El Behairy, Ahmed
    Jowers, Michael J.
    Diez Banos, Pablo
    Piriz, Ana
    Fickel, Joerns
    Zhu, Xing-Quan
    VETERINARY PARASITOLOGY, 2011, 179 (1-3) : 266 - 271
  • [7] Molecular detection and identification of Aspergillus spp. from clinical samples using real-time PCR
    Ramirez, Mercedes
    Castro, Carmen
    Palomares, Jose Carlos
    Jose Torres, M. A.
    Aller, Ana Isabel
    Ruiz, Maite
    Aznar, Javier
    Martin-Mazuelos, Estrella
    MYCOSES, 2009, 52 (02) : 129 - 134
  • [8] TaqMan real-time PCR for detection of pathogenic Leptospira spp. in canine clinical samples
    Rahman, Mohammad Sabri Abdul
    Khor, Kuan Hua
    Khairani-Bejo, Siti
    Lau, Seng Fong
    Mazlan, Mazlina
    Roslan, Mohd Azri
    Ajat, Mohd Mokrish Md
    Noor, Mohd Akmal Mohd
    JOURNAL OF VETERINARY RESEARCH, 2023, 67 (02) : 187 - 195
  • [9] Detection and identification of Aspergillus spp. and Candida spp. by real-time PCR in clinical samples
    McMullan, R.
    Metwally, L.
    Coyle, P.
    Hedderwick, S.
    McCloskey, B.
    O'Neill, H.
    Webb, H.
    Hay, R.
    INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS, 2007, 29 : S534 - S534
  • [10] Fusarium spp. Causing Dry Rot on Potatoes in Norway and Development of a Real-Time PCR Method for Detection of Fusarium coeruleum
    Pia Heltoft
    May Bente Brurberg
    Monica Skogen
    Vinh Hong Le
    Jafar Razzaghian
    Arne Hermansen
    Potato Research, 2016, 59 : 67 - 80