Detection and Quantification of Pratylenchus thornei in DNA Extracted from Soil Using Real-Time PCR

被引:60
|
作者
Yan, Guiping [1 ]
Smiley, Richard W. [1 ]
Okubara, Patricia A. [2 ]
机构
[1] Oregon State Univ, Columbia Basin Agr Res Ctr, Pendleton, OR 97801 USA
[2] Washington State Univ, USDA ARS, Root Dis & Biol Control Res Unit, Pullman, WA 99164 USA
基金
美国农业部;
关键词
in silico analysis; root disease; ROOT-LESION NEMATODES; POTATO-CYST-NEMATODE; MELOIDOGYNE-[!text type='JAVA']JAVA[!/text]NICA; QUANTITATIVE PCR; WHEAT; IDENTIFICATION; NEGLECTUS; YIELD; SPP; DISCRIMINATION;
D O I
10.1094/PHYTO-03-11-0093
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Yan, G. P., Smiley, R. W., and Okubara, P. A. 2012. Detection and quantification of Pratylenchus thornet in DNA extracted from soil using real-time PCR. Phytopathology 102:14-22. The root-lesion nematode Pratylenchus (hornet is one of the most important pests restricting productivity of wheat in the Pacific Northwest (PNW). It is laborious and difficult to use microscopy to count and identify the nematodes in soils. A SYBR Green I-based real-time polymerase chain reaction (PCR) assay was developed to detect and quantify this species from DNA extracts of soil. A primer set, designed from the internal transcribed spacer region (ITSI) of rDNA, was highly specific to P. thornei and did not amplify DNA from 27 isolates of other Pratylenchus spp., other nematodes, and six fungal species present in PNW wheat fields. A standard curve relating threshold cycle and log values of nematode number was generated from artificially infested soils. The standard curve was supported by a high correlation between the numbers of P thornei added to soil and the numbers quantified using real-time PCR. Examination of 15 PNW dryland field soils and 20 greenhouse samples revealed significant positive correlations between the numbers determined by real-time PCR and by the Whitehead tray and microscopic method. Real-time PCR is a rapid, sensitive alternative to time-consuming nematode extractions, microscopic identification, and counting of P thornei from field and greenhouse soils.
引用
收藏
页码:14 / 22
页数:9
相关论文
共 50 条
  • [1] Duplex real-time quantitative PCR for simultaneous detection and quantification of Pratylenchus neglectus and P. thornei
    Borong Lin
    Ye Tao
    Honghong Wang
    Jinling Liao
    Kan Zhuo
    European Journal of Plant Pathology, 2020, 157 : 185 - 196
  • [2] Duplex real-time quantitative PCR for simultaneous detection and quantification of Pratylenchus neglectus and P. thornei
    Lin, Borong
    Tao, Ye
    Wang, Honghong
    Liao, Jinling
    Zhuo, Kan
    EUROPEAN JOURNAL OF PLANT PATHOLOGY, 2020, 157 (01) : 185 - 196
  • [3] Developing a Real-Time PCR Assay for Detection and Quantification of Pratylenchus neglectus in Soil
    Yan, Guiping
    Smiley, Richard W.
    Okubara, Patricia A.
    Skantar, Andrea M.
    Reardon, Catherine L.
    PLANT DISEASE, 2013, 97 (06) : 757 - 764
  • [4] Development and validation of four TaqMan real-time PCR diagnostics for the identification and quantification of Pratylenchus crenatus , Pratylenchus neglectus , Pratylenchus penetrans and Pratylenchus thornei
    Orlando, Valeria
    Roberts, David
    Edwards, Simon G.
    Prior, Thomas
    Neilson, Roy
    Back, Matthew A.
    NEMATOLOGY, 2024, 26 (04) : 433 - 445
  • [5] Molecular detection and quantification of root-lesion nematode, Pratylenchus penetrans from soil using real-time PCR
    Baidoo, R.
    Yan, G.
    PHYTOPATHOLOGY, 2017, 107 (12) : 55 - 56
  • [6] Developing a real-time PCR assay for direct detection and quantification of Pratylenchus scribneri in field soil
    Arora, Deepika
    Yan, Guiping
    Baidoo, Richard
    NEMATOLOGY, 2020, 22 (07) : 733 - 744
  • [7] Direct quantification of fungal DNA from soil substrate using real-time PCR
    Filion, M
    St-Arnaud, M
    Jabaji-Hare, SH
    JOURNAL OF MICROBIOLOGICAL METHODS, 2003, 53 (01) : 67 - 76
  • [8] Detection and quantification of Rhizoctonia cerealis in soil using real-time PCR
    Guo, Yingpeng
    Li, Wei
    Sun, Haiyan
    Wang, Ning
    Yu, Hanshou
    Chen, Huaigu
    JOURNAL OF GENERAL PLANT PATHOLOGY, 2012, 78 (04) : 247 - 254
  • [9] Detection and quantification of Rhizoctonia cerealis in soil using real-time PCR
    Yingpeng Guo
    Wei Li
    Haiyan Sun
    Ning Wang
    Hanshou Yu
    Huaigu Chen
    Journal of General Plant Pathology, 2012, 78 : 247 - 254
  • [10] Quantification of Paratrichodorus allius in DNA extracted from soil using TaqMan Probe and SYBR Green real-time PCR assays
    Huang, Danqiong
    Yan, Guiping
    Gudmestad, Neil
    Skantar, Andrea
    NEMATOLOGY, 2017, 19 (08) : 987 - 1001