CucCAP researchers develop high-throughput method for quantification of pathogen growth

Researchers at Michigan State University used a fluorescent isolate of the broad host range pathogen, Phytophthora capsici, to develop a high-throughput, microtiter plate assay for replicated quantification of  pathogen growth on plant tissue in real time.  This method, which can detect pathogen growth prior to development of symptoms, can assist with screening for disease resistance, mapping of resistance loci, testing efficacy of control measures, or elucidation of fundamental host-pathogen interactions.

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2020 ASHS Annual Virtual Conference

Presentations from CucCAP researchers address cucumber breeding, melon pathogens, and watermelon production. Phenotypic Analysis of the U.S. Cucumber PI Core Collection for Fruit Morphological Diversity Ying-Chen Lin, Yiqun Weng, University of Wisconsin and Rebecca Grumet, Michigan State University Continue Reading QTL-Seq of Young Fruit Resistance to Phytophthora Capsici in Cucumber Ying-Chen Lin and Rebecca Grumet, […]

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Genomics and Bioinformatics Team | 2020 CucCAP Progress Report

Cucurbit Genomic Team members include Zhangjun Fei (Boyce Thompson Institute), Umesh Reddy (West Virginia St. Univ.), Amnon Levi (USDA, ARS), Yiqun Weng (USDA, ARS), Michael Mazourek (Cornell University), Pat Wechter (USDA, ARS), and Rebecca Grumet (Michigan State University). In closely working with Cornell Genomic Diversity Facilty, the team has set up the genotyping-by-sequencing (GBS) platform for the cucurbit species and have established a GBS data analysis pipeline based on TASSEL-GBS.

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