Literature DB >> 18943749

TaqMan Chemistry for Phytophthora ramorum Detection and Quantification, with a Comparison of Diagnostic Methods.

Katherine Hayden, Kelly Ivors, Carla Wilkinson, Matteo Garbelotto.   

Abstract

ABSTRACT The choice of detection method for phytopathogens can be critically important in determining the success or failure of pest regulation systems. We present an assay for Phytophthora ramorum that uses 5' fluorogenic exonuclease (TaqMan) chemistry to detect and quantify the pathogen from diseased tissue, and include a universal primer and probe set for an internal positive control. This method is sensitive, detecting as little as 15 fg of target DNA when used in a nested design or 50 fg when used in a single round of polymerase chain reaction. None of the 17 other Phytophthora spp. tested was amplified by this assay. A comparison of the nested and non-nested TaqMan assays, and of one other nested assay, showed nested methods to be significantly more sensitive than nonnested and showed that host substrate significantly affected sensitivity of all assays. The nested TaqMan protocol was successfully field-tested; P. ramorum was detected in 255 of 874 plants in California woodlands, whereas the single-round TaqMan protocol detected significantly fewer positive samples. Finally, we documented increases in the quantity of pathogen DNA in Umbellularia californica leaves in initial stages of infection.

Entities:  

Year:  2006        PMID: 18943749     DOI: 10.1094/PHYTO-96-0846

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


  6 in total

1.  A quantitative Real Time PCR based method for the detection of Phytophthora infestans causing Late blight of potato, in infested soil.

Authors:  Touseef Hussain; Bir Pal Singh; Firoz Anwar
Journal:  Saudi J Biol Sci       Date:  2013-10-09       Impact factor: 4.219

2.  Antimicrobial activity of extractable conifer heartwood compounds toward Phytophthora ramorum.

Authors:  Daniel K Manter; Rick G Kelsey; Joseph J Karchesy
Journal:  J Chem Ecol       Date:  2007-10-11       Impact factor: 2.626

3.  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

4.  Phenotypic diversification is associated with host-induced transposon derepression in the sudden oak death pathogen Phytophthora ramorum.

Authors:  Takao Kasuga; Melina Kozanitas; Mai Bui; Daniel Hüberli; David M Rizzo; Matteo Garbelotto
Journal:  PLoS One       Date:  2012-04-18       Impact factor: 3.240

5.  The Epidemiology of Sudden Oak Death Disease Caused by Phytophthora ramorum in a Mixed Bay Laurel-Oak Woodland Provides Important Clues for Disease Management.

Authors:  Melina Kozanitas; Margaret R Metz; Todd W Osmundson; Maria Socorro Serrano; Matteo Garbelotto
Journal:  Pathogens       Date:  2022-02-15

6.  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

  6 in total

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