Chen Chen, Harald Keunecke, Enzo Neu, Friedrich J. Kopisch‐Obuch, Bruce A. McDonald, Jessica Stapley
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引用次数: 0
Abstract
Cercospora leaf spot (CLS), caused by Cercospora beticola, is a major foliar disease impacting sugar beet production worldwide. The development of new resistant sugar beet hybrids is a powerful tool to better manage the disease, but it is unclear how these hybrids affect CLS epidemiology. We used a molecular epidemiology approach to study natural epidemics of CLS affecting two susceptible and two resistant sugar beet hybrids at two field sites. Infected plants were geotagged on a weekly basis. Isolations of C. beticola were made from infected leaves and genotyped using six simple‐sequence repeat loci to identify clones. We determined that CLS epidemics had a later onset in plots planted to resistant hybrids, but once the pathogen established an infection, there was little difference between resistant and susceptible hybrids in the probability of localized spread and dispersal. We found that different clones often infected the same leaf and that clusters of infected plants were often colonized by a mixture of clones. There was little overall difference in genetic diversity of C. beticola collected on resistant and susceptible hybrids; however, genotypic diversity was lower on the resistant hybrid at one site, suggestive of a selection bottleneck. At the end of the epidemic infections were not randomly distributed across the fields and we found that a single clone could spread over a distance of 100 m during a growing season.
期刊介绍:
This international journal, owned and edited by the British Society for Plant Pathology, covers all aspects of plant pathology and reaches subscribers in 80 countries. Top quality original research papers and critical reviews from around the world cover: diseases of temperate and tropical plants caused by fungi, bacteria, viruses, phytoplasmas and nematodes; physiological, biochemical, molecular, ecological, genetic and economic aspects of plant pathology; disease epidemiology and modelling; disease appraisal and crop loss assessment; and plant disease control and disease-related crop management.