Full TGIF Record # 172818
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DOI:10.1094/PHYTO.2010.100.6.S1
Web URL(s):http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO.2010.100.6.S1#page=90
    Last checked: 11/23/2010
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Publication Type:
i
Report
Author(s):Njambere, E. N.; Clarke, B.; Zhang, N.
Author Affiliation:Rutgers The State University of New Jersey, New Brunswick, NJ
Title:Macroarray detection on fungal turfgrass pathogens
Section:2010 APS Annual Meeting abstracts of presentations
Other records with the "2010 APS Annual Meeting abstracts of presentations" Section
Source:Phytopathology. Vol. 100, No. 6S, June 2010, p. S90.
Publishing Information:St. Paul, MN: American Phytopathological Society
# of Pages:1
Keywords:TIC Keywords: Diagnostic techniques; Disease control; Disease identification; Pathogenic fungi; Pythium aphanidermatum; Rhizoctonia solani; Signs of pathogen infection
Abstract/Contents:"Early and accurate detection and identification of fungal pathogens is critical for turf disease management. Traditionally, diagnosticians use direct observation or culturing of specimens to identify pathogens. DNA macroarray is a new molecular tool, which offers a fast, culture-independent alternative for pathogen detection. The advantage of this technique is its high throughput compared to other detection methods. In this study, we aim to increase the array detection sensitivity. We designed a macroarray for two turf pathogens, Rhizoctonia solani and Pythium aphanidermatum. The array included 9 probes specific to each species. Positive controls and internal controls were also spotted on the array. Array sensitivity was optimized by hybridizing labeled ITS PCR products of the two target species with three sets of probes: 1) monomer oligonucleotide probes (20-25 nt), 2) dimers: two tandem repeats of the monomers (40-50 nt) and 3) dimers with an intervening poly-A between the two repeats (50-60 nt). The use of repeat sequence probes increased the array sensitivity. However, specificity was compromised when an intervening poly-A sequence was included. Therefore, dimers, without the poly-A, performed best in terms of both sensitivity and specificity. These findings will be used to develop a multiplex detection/identification system for major fungal and oomycete pathogens of turfgrasses that will facilitate early diagnosis and improved disease management."
Language:English
References:0
Note:This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Njambere, E. N., B. Clarke, and N. Zhang. 2010. Macroarray detection on fungal turfgrass pathogens. Phytopathology. 100(6S):p. S90.
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DOI: 10.1094/PHYTO.2010.100.6.S1
Web URL(s):
http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO.2010.100.6.S1#page=90
    Last checked: 11/23/2010
    Requires: PDF Reader
    Notes: Item is within a single large file
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MSU catalog number: b2219736a
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