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| Web URL(s): | https://turf.rutgers.edu/research/abstracts/symposium2010.pdf#page=38
Last checked: 02/06/2017
Requires: PDF Reader
Notes: Item is within a single large file |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Beirn, Lisa;
Moy, Melinda;
Crouch, Jo Anne;
Meyer, William A.;
Clarke, Bruce B. |
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| Author Affiliation: | Beirn, Moy, Meyer and Clarke: Department of Plant Biology and Pathology, Rutgers University; Crouch: Cereal Disease Lab, USDA-ARS, St. Paul, MN |
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| Title: | Identification and characterization of rusts infesting cultivated turfgrass using molecular methods |
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| Section: | Poster presentations
Other records with the "Poster presentations" Section
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| Meeting Info.: | New Brunswick, NJ: January 11, 2010 |
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| Source: | Proceedings of the Nineteenth Annual Rutgers TurfgrassSymposium. 2010, p. 38-39. |
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| Publishing Information: | New Brunswick, NJ: Center for Turfgrass Science, Rutgers, The State University of New Jersey |
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| # of Pages: | 2 |
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| Keywords: | TIC Keywords: Chemical control; Cultivar evaluation; Cultivar susceptibility; Disease identification; Molecular markers; Poa pratensis; Rusts
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| Abstract/Contents: | "Rust is a common disease of cool-season turfgrasses that can decrease the aesthetic and economic value of many cultivated species, particularly Kentucky bluegrass (poa pratensis L.). Chemical control of rust is costly and sometime ineffective; therefore the use of resistant cultivars is important for the effective management of this disease. Over the past ten years, increased susceptibility to rust (puccinia spp.) has been observed for several Kentucky bluegrass cultivars in the United States, most notably the once highly resistant 'Midnight' types. It has been theorized that new races or even new species of the pathogen may be responsible for this shift in cultivar susceptibility, but the data need to test this hypothesis is lacking. In the current study, we are developing and utilizing molecular markers to evaluate turfgrass rust populations. To date, 66 rust infested leaf samples have been collected from graminicolous hosts in North America, the United Kingdom, Australia, and Chile. A reliable DNA extraction protocol was developed and the complete internal transcribed spacer (ITS) region and 5.8S ribosomal sequenced ranged from 682 to 701 base-pairs in length, including the partial sequences of the flanking 18S and 28 S rDNA. Bayesian phylogenetic analysis of the aligned sequence data indentified P. coronata (crown rust), P. graminis (stem rust), and P. striiformis (stripe rust) from rust infested grass samples. P. coronata was the most prevalent species (68% of samples), followed by P. graminis (27%), and P. stiiformis (5%). The species frequencies identified in our study contradict what has been frequently observed among turfgrass breeders in the field, where spore phenotype was the most common method used to identify rust spieces, thus suggesting that stem and stripe rust would be most prevalent. In addition to morphology, host-plant identity has played a role in filed identification of rust species, where stem rust was traditionally associated with Kentucky bluegrass and crown rust with perennial ryegrass (Lolium perenne L.) However, in the current study, not only was crown rust shown to be predominate species, but it was frequently found in association with Kentucky bluegrass hosts, indicating that the most common method for identifying these pathogens in the field - spore pigmentation and host plant association - are inadequate for accurate rust species identification. To provide turfgrass breeders, pathologists and diagnosticians with an accurate, reproducible and rapid method for turfgrass rust species identification, we have developed a specie-specific real-time PCR protocol using the ITS sequence datat generated from this study. Probes were designed within ITS1, and in combination with rust specific primers, are capable of detecting ~ 3 x 10-3 ng of rust DNA. Although the ITS region was sufficient for rust species identification, these data provided low intraspecific resolution, indicating the need for finer-scale markers to identify races within rust species. Exceptions to this generalization were observed, as in the case of the phylogenetic clustering of four isolated of stem rust and three isolates of crown rust. These sub-specific clusters were strongly supported by posterior probability values as unique groups and support the hypothesis of race structure within the turfgrass rusts. To better understand these relationships in the turfgrass rust population, amplified fragment length polymorphism (AFLP) analysis will be used to evaluated our rust collection in 2010." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Beirn, L., M. Moy, J. A. Crouch, W. A. Meyer, and B. B. Clarke. 2010. Identification and characterization of rusts infesting cultivated turfgrass using molecular methods. Proc. Annu. Rutgers Turfgrass Symp. p. 38-39. |
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| Web URL(s):
https://turf.rutgers.edu/research/abstracts/symposium2010.pdf#page=38
Last checked: 02/06/2017
Requires: PDF Reader
Notes: Item is within a single large file |
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MSU catalog number: b3696858 |
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