Literature DB >> 18943796

Detection and Quantification of Phytophthora ramorum from California Forests Using a Real-Time Polymerase Chain Reaction Assay.

Katherine J Hayden, David Rizzo, Justin Tse, Matteo Garbelotto.   

Abstract

ABSTRACT The timely and accurate detection of pathogens is a critical aid in the study of the epidemiology and biology of plant diseases. In the case of regulated organisms, the availability of a sensitive and reliable assay is essential when trying to achieve early detection of the pathogen. We developed and tested a real-time, nested polymerase chain reaction (PCR) assay for the detection of Phytophthora ramorum, causal agent of sudden oak death. This technique then was implemented as part of a widespread environmental screen throughout California. The method here described is sensitive, detecting less than 12 fg of pathogen DNA, and is specific for P. ramorum when tested across 21 Phytophthora spp. Hundreds of symptomatic samples from 33 sites in 14 California counties were assayed, resulting in the discovery of 10 new host species and 23 infested areas, including 4 new counties. With the exception of a single host, PCR-based discovery of new hosts and infested areas always was confirmed by traditional pathogen isolations and inoculation studies. Nonetheless, molecular diagnostics were key in early pathogen detection, and steered the direction of further research on this newly discovered and generalist Phytophthora species.

Entities:  

Year:  2004        PMID: 18943796     DOI: 10.1094/PHYTO.2004.94.10.1075

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  11 in total

1.  Real-Time PCR: Revolutionizing Detection and Expression Analysis of Genes.

Authors:  Sa Deepak; Kr Kottapalli; R Rakwal; G Oros; Ks Rangappa; H Iwahashi; Y Masuo; Gk Agrawal
Journal:  Curr Genomics       Date:  2007-06       Impact factor: 2.236

2.  Oligonucleotide array for identification and detection of pythium species.

Authors:  J T Tambong; A W A M de Cock; N A Tinker; C A Lévesque
Journal:  Appl Environ Microbiol       Date:  2006-04       Impact factor: 4.792

3.  On-site DNA extraction and real-time PCR for detection of Phytophthora ramorum in the field.

Authors:  J A Tomlinson; N Boonham; K J D Hughes; R L Griffin; I Barker
Journal:  Appl Environ Microbiol       Date:  2005-11       Impact factor: 4.792

4.  Ethanol attracts scolytid beetles to Phytophthora ramorum cankers on coast live oak.

Authors:  Rick G Kelsey; Maia M Beh; David C Shaw; Daniel K Manter
Journal:  J Chem Ecol       Date:  2013-03-24       Impact factor: 2.626

5.  Faster, simpler, more-specific methods for improved molecular detection of Phytophthora ramorum in the field.

Authors:  J A Tomlinson; I Barker; N Boonham
Journal:  Appl Environ Microbiol       Date:  2007-04-20       Impact factor: 4.792

6.  A quantitative real-time RT-PCR assay for mature C. albicans biofilms.

Authors:  Zhihong Xie; Angela Thompson; Helena Kashleva; Anna Dongari-Bagtzoglou
Journal:  BMC Microbiol       Date:  2011-05-06       Impact factor: 3.605

7.  No evidence for enzootic plague within black-tailed prairie dog (Cynomys ludovicianus) populations.

Authors:  Rebecca E Colman; R Jory Brinkerhoff; Joseph D Busch; Chris Ray; Adina Doyle; Jason W Sahl; Paul Keim; Sharon K Collinge; David M Wagner
Journal:  Integr Zool       Date:  2021-05-31       Impact factor: 2.083

8.  Molecular Detection of 10 of the Most Unwanted Alien Forest Pathogens in Canada Using Real-Time PCR.

Authors:  Josyanne Lamarche; Amélie Potvin; Gervais Pelletier; Don Stewart; Nicolas Feau; Dario I O Alayon; Angela L Dale; Aaron Coelho; Adnan Uzunovic; Guillaume J Bilodeau; Stephan C Brière; Richard C Hamelin; Philippe Tanguay
Journal:  PLoS One       Date:  2015-08-14       Impact factor: 3.240

9.  Scaling up from greenhouse resistance to fitness in the field for a host of an emerging forest disease.

Authors:  Katherine J Hayden; Matteo Garbelotto; Richard Dodd; Jessica W Wright
Journal:  Evol Appl       Date:  2013-07-19       Impact factor: 5.183

Review 10.  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

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