2016
DOI: 10.5423/ppj.nt.09.2015.0184
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Development of a Multiplex PCR Method to Detect Fungal Pathogens for Quarantine on Exported Cacti

Abstract: Major diseases in grafted cacti have been reported and Fusarium oxysporum, Bipolaris cactivora, Phytophthora spp. and Collectotrichum spp. are known as causal pathogens. These pathogens can lead to plant death after infection. Therefore, some European countries have quarantined imported cacti that are infected with specific fungal pathogens. Consequently, we developed PCR detection methods to identify four quarantined fungal pathogens and reduce export rejection rates of Korean grafted cacti. The pathogen spec… Show more

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Cited by 24 publications
(9 citation statements)
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“…Multiplex PCR for pathogen diagnosis permits simultaneous detection of several plant pathogens in a single reaction mixture and facilitates cost‐effective diagnosis (Hu et al ; Cho et al ). Multiplex PCR protocols have been developed to detect two to several Phytophthora spp.…”
Section: Discussionmentioning
confidence: 99%
“…Multiplex PCR for pathogen diagnosis permits simultaneous detection of several plant pathogens in a single reaction mixture and facilitates cost‐effective diagnosis (Hu et al ; Cho et al ). Multiplex PCR protocols have been developed to detect two to several Phytophthora spp.…”
Section: Discussionmentioning
confidence: 99%
“…The samples were centrifuged at 13,000 rpm at 4°C for 5 minutes. Supernatant was removed by washing with 500 μl of 70% ethanol ( Cho et al, 2016 ). Ethanol was subsequently removed and pellets dried at room temperature for 30 minutes.…”
Section: Methodsmentioning
confidence: 99%
“…This problem has been resolved using multiplex PCR assays. It was noted that the diagnosing tool was sufficient to detect and identify these quarantine fungal pathogens in grafted cacti ( Cho et al., 2016 ). Though multiplex PCR assays are quick and reliable in nature, the assays are potentially expensive and resource-intensive, and decreased sensitivity associated with the multiplex methods ( Pallás et al., 2018 ).…”
Section: Molecular Tools For Detection Of Fungimentioning
confidence: 99%