Individual and population aspects of interactions between cucurbits and Pseudoperonospora cubensis: pathotypes and races

dc.contributor.author Lebeda, A.
dc.contributor.author Widrlechner, Mark
dc.contributor.author Widrlechner, M. P.
dc.contributor.author Urban, J.
dc.contributor.department Agronomy
dc.contributor.department North Central Regional Plant Introduction Station
dc.contributor.department Horticulture
dc.date 2018-02-18T09:25:54.000
dc.date.accessioned 2020-06-30T06:10:26Z
dc.date.available 2020-06-30T06:10:26Z
dc.date.embargo 2017-04-24
dc.date.issued 2006-01-01
dc.description.abstract <p>This paper reviews the current state of knowledge regarding variation in interactions between Cucurbitaceae and <em>Pseudoperonospora cubensis</em> as a backdrop for the development and use of systems to characterize pathogenicity at the individual and population levels. Host-parasite specificity and interactions between Cucurbitaceae and <em>P. cubensis</em> exhibit significant variation on both the individual and population level. However, our phytopathological and genetic knowledge of the interactions between individual <em>P. cubensis</em> isolates and a broad range of accessions of most important genera of cultivated cucurbits (e.g., <em>Cucumis</em>, <em>Cucurbita</em>, <em>Citrullus</em>) remains limited. Recently, an improved differential set of cucurbit accessions was developed to characterize pathogenic variability (pathotypes) among <em>P. cubensis</em> isolates (Lebeda and Widrlechner, 2003). That set included 12 genotypes from six genera (<em>Benincasa</em>, <em>Citrullus</em>, <em>Cucumis</em>, <em>Cucurbita</em>, <em>Lagenaria</em>, and <em>Luffa</em>) and is now being used for pathotype differenatiation. Nevertheless, we have reasons to believe that these differentials are incomplete. Data on patterns of pathogenic variation are available only for certain countries (e.g., the Czech Republic, India, Israel, Japan, and the USA), but even those studies are typically based on individual isolates, not populations. Some highlights and future trends regarding the development of new differential sets are suggested. For example, recent research in the Czech Republic demonstrated how data at the population level can contribute to elucidating temporal and spatial pathogen distribution and dynamics, as well as to clarifying host-pathogen interactions. It is also important to consider the practical application of these data in resistance breeding and disease management. We conclude by proposing some ideas to promote research and collaboration on these topics.</p>
dc.description.comments <p>This is a proceeding from <em>Cucurbitaceae 2006 </em>(2006): 453.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ncrpis_conf/17/
dc.identifier.articleid 1019
dc.identifier.contextkey 10065950
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ncrpis_conf/17
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/55964
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ncrpis_conf/17/2006_Widrlechner_IndividualPopulation.pdf|||Fri Jan 14 21:11:41 UTC 2022
dc.subject.disciplines Agricultural Science
dc.subject.disciplines Plant Breeding and Genetics
dc.subject.disciplines Plant Sciences
dc.subject.keywords Cucurbitaceae
dc.subject.keywords cucurbit downy mildew
dc.subject.keywords host-pathogen specificity
dc.subject.keywords race-specific resistance
dc.subject.keywords pathogenicity
dc.subject.keywords genetic structure
dc.title Individual and population aspects of interactions between cucurbits and Pseudoperonospora cubensis: pathotypes and races
dc.type article
dc.type.genre conference
dspace.entity.type Publication
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