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| DOI: | 10.1094/PHYTO-103-6-S2.1 |
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| Web URL(s): | http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO-103-6-S2.1#page=63
Last checked: 06/03/2013
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): | Hulvey, J.;
Sang, H.;
Berg, A.;
Mullis, M.;
Popko, J. T.;
Chang, T.;
Jung, G. |
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| Author Affiliation: | Hulvey, Sang, Berg, Mullis, Popko and Jung: University of Massachusetts, Amherst, MA; Chang: Kyungpook National University, Gyungbuk, Korea |
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| Title: | De novo RNA-Seq and bioinformatic analyses uncover genetic determinants of fungicide detoxification in the turfgrass pathogen Sclerotinia homoeocarpa |
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| Section: | 2013 APS-MSA Joint Meeting abstracts of presentations
Other records with the "2013 APS-MSA Joint Meeting abstracts of presentations" Section
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| Meeting Info.: | Austin, Texas: August 10-14, 2013 |
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| Source: | Phytopathology. Vol. 103, No. 6S, June supplement 2013, p. S2.63. |
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| Publishing Information: | St. Paul, Minnesota: American Phytopathological Society |
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| # of Pages: | 1 |
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| Keywords: | TIC Keywords: DMI fungicides; Disease control; Dollar spot; Fungicide resistance; Gene mapping; Golf greens; Polymerase chain reaction; Sclerotinia homoeocarpa
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| Abstract/Contents: | "Cool season turf grasses on golf courses in New England require high fungicide inputs to control dollar spot, making S. homoeocarpa an ideal system for investigating the transcriptomic basis of reduced fungicide sensitivity. We used massively parallel sequencing, including de novo hybrid assembly and RNA-Seq, to investigate mechanisms of reduced sensitivity to demethylase inhibitor (DMI) fungicides, a quantitative trait in S. homoeocarpa. Our hybrid assembly was generated from 454 pyrosequencing and paired-end reads of sequencing by synthesis (SBS) data, yielding 12,494 contigs over 500 bp. The SBS reads for two biological replicates were mapped back in pairs to the hybrid assembly for fungicide treated and untreated samples of two isolates. Statistical analyses of digital expression values and gene ontology (GO) categories of differentially expressed transcripts identified metabolic pathways likely involved in reduced sensitivity to DMIs. We report enrichment of transcripts associated with multiple stages of xenobiotic detoxification, as well as lipid metabolism. Quantitative Real-Time PCR in field isolates causing practical field resistance, which displayed reduced sensitivity to multiple DMIs and additional fungicide classes, verified findings for select transcripts. From these data, we report parallels to genetic determinants of resistance identified in other fungal pathogens, and to those described from research into herbicide and insecticide detoxification." |
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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):
Hulvey, J., H. Sang, A. Berg, M. Mullis, J. T. Popko, T. Chang, et al. 2013. De novo RNA-Seq and bioinformatic analyses uncover genetic determinants of fungicide detoxification in the turfgrass pathogen Sclerotinia homoeocarpa. Phytopathology. 103(6S):p. S2.63. |
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| DOI: 10.1094/PHYTO-103-6-S2.1 |
| Web URL(s):
http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO-103-6-S2.1#page=63
Last checked: 06/03/2013
Requires: PDF Reader
Notes: Item is within a single large file |
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MSU catalog number: b2219736a |
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