Literature DB >> 21802053

Specific molecular detection of Phytophthora sojae using conventional and real-time PCR.

John C Bienapfl1, Dean K Malvick, James A Percich.   

Abstract

Phytophthora rot, caused by Phytophthora sojae, is one of the most damaging diseases of soybean (Glycine max) worldwide. This disease can be difficult to diagnose and other Phytophthora species can infect soybean. Accurate diagnosis is important for management of Phytophthora rot. The objective of this study was to evaluate polymerase chain reaction (PCR) methods for rapid and specific detection of P. sojae and diagnosis of Phytophthora rot. PCR assays using two sets of primers (PS and PSOJ) that target the ITS region were evaluated for specificity and sensitivity to P. sojae. Genomic DNA extracted from 11 species of Phytophthora and 19 other species of fungal and oomycete pathogens were used to test the specificity of each primer set. The previously published PS primers amplified DNA from P. sojae and from four other Phytophthora species using conventional PCR, indicating they are not specific for P. sojae. The new PSOJ primers amplified DNA only from P. sojae using conventional and real-time PCR and not from Phytophthora sansomeana, which has been found in soybean production areas, indicating that they are specific for P. sojae. The PSOJ primers were also used to detect P. sojae in diseased soybean tissue and infested soil. The PCR assays based on the PSOJ primers are specific, rapid, and sensitive tools for the detection of P. sojae.
Copyright © 2011 The British Mycological Society. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21802053     DOI: 10.1016/j.funbio.2011.05.007

Source DB:  PubMed          Journal:  Fungal Biol


  6 in total

Review 1.  Breeding for disease resistance in soybean: a global perspective.

Authors:  Feng Lin; Sushil Satish Chhapekar; Caio Canella Vieira; Marcos Paulo Da Silva; Alejandro Rojas; Dongho Lee; Nianxi Liu; Esteban Mariano Pardo; Yi-Chen Lee; Zhimin Dong; Jose Baldin Pinheiro; Leonardo Daniel Ploper; John Rupe; Pengyin Chen; Dechun Wang; Henry T Nguyen
Journal:  Theor Appl Genet       Date:  2022-07-05       Impact factor: 5.699

2.  Molecular mapping of quantitative disease resistance loci for soybean partial resistance to Phytophthora sansomeana.

Authors:  Feng Lin; Wenlong Li; Austin G McCoy; Xuan Gao; Paul J Collins; Na Zhang; Zixiang Wen; Sizhe Cao; Shabir H Wani; Cuihua Gu; Martin I Chilvers; Dechun Wang
Journal:  Theor Appl Genet       Date:  2021-03-15       Impact factor: 5.574

3.  A novel, multiplexed, probe-based quantitative PCR assay for the soybean root- and stem-rot pathogen, Phytophthora sojae, utilizes its transposable element.

Authors:  James S Haudenshield; Jeong Y Song; Glen L Hartman
Journal:  PLoS One       Date:  2017-04-25       Impact factor: 3.240

4.  Mitochondrial genome sequence of Phytophthora sansomeana and comparative analysis of Phytophthora mitochondrial genomes.

Authors:  Guohong Cai; Steven R Scofield
Journal:  PLoS One       Date:  2020-05-14       Impact factor: 3.240

5.  Comparative Evaluation of a Novel Recombinase Polymerase Amplification-Lateral Flow Dipstick (RPA-LFD) Assay, LAMP, Conventional PCR, and Leaf-Disc Baiting Methods for Detection of Phytophthora sojae.

Authors:  Tingting Dai; Xiao Yang; Tao Hu; Binbin Jiao; Yue Xu; Xiaobo Zheng; Danyu Shen
Journal:  Front Microbiol       Date:  2019-08-09       Impact factor: 5.640

Review 6.  Promising Perspectives for Detection, Identification, and Quantification of Plant Pathogenic Fungi and Oomycetes through Targeting Mitochondrial DNA.

Authors:  Tomasz Kulik; Katarzyna Bilska; Maciej Żelechowski
Journal:  Int J Mol Sci       Date:  2020-04-10       Impact factor: 5.923

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.