Rapid transcriptome characterization and parsing of sequences in a non-model host-pathogen interaction; pea-<it>Sclerotinia sclerotiorum</it>

<p>Abstract</p> <p>Background</p> <p>White mold, caused by <it>Sclerotinia sclerotiorum</it>, is one of the most important diseases of pea (<it>Pisum sativum</it> L.), however, little is known about the genetics and biochemistry of this interacti...

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Bibliographic Details
Main Authors: Zhuang Xiaofeng, McPhee Kevin E, Coram Tristan E, Peever Tobin L, Chilvers Martin I
Format: Article
Language:English
Published: BMC 2012-11-01
Series:BMC Genomics
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Online Access:http://www.biomedcentral.com/1471-2164/13/668
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Summary:<p>Abstract</p> <p>Background</p> <p>White mold, caused by <it>Sclerotinia sclerotiorum</it>, is one of the most important diseases of pea (<it>Pisum sativum</it> L.), however, little is known about the genetics and biochemistry of this interaction. Identification of genes underlying resistance in the host or pathogenicity and virulence factors in the pathogen will increase our knowledge of the pea-<it>S</it>. <it>sclerotiorum</it> interaction and facilitate the introgression of new resistance genes into commercial pea varieties. Although the <it>S</it>. <it>sclerotiorum</it> genome sequence is available, no pea genome is available, due in part to its large genome size (~3500 Mb) and extensive repeated motifs. Here we present an EST data set specific to the interaction between <it>S</it>. <it>sclerotiorum</it> and pea, and a method to distinguish pathogen and host sequences without a species-specific reference genome.</p> <p>Results</p> <p>10,158 contigs were obtained by <it>de novo</it> assembly of 128,720 high-quality reads generated by 454 pyrosequencing of the pea-<it>S</it>. <it>sclerotiorum</it> interactome. A method based on the tBLASTx program was modified to distinguish pea and <it>S</it>. <it>sclerotiorum</it> ESTs. To test this strategy, a mixture of known ESTs (18,490 pea and 17,198 <it>S</it>. <it>sclerotiorum</it> ESTs) from public databases were pooled and parsed; the tBLASTx method successfully separated 90.1% of the artificial EST mix with 99.9% accuracy. The tBLASTx method successfully parsed 89.4% of the 454-derived EST contigs, as validated by PCR, into pea (6,299 contigs) and <it>S</it>. <it>sclerotiorum</it> (2,780 contigs) categories. Two thousand eight hundred and forty pea ESTs and 996 <it>S</it>. <it>sclerotiorum</it> ESTs were predicted to be expressed specifically during the pea-<it>S</it>. <it>sclerotiorum</it> interaction as determined by homology search against 81,449 pea ESTs (from flowers, leaves, cotyledons, epi- and hypocotyl, and etiolated and light treated etiolated seedlings) and 57,751 <it>S</it>. <it>sclerotiorum</it> ESTs (from mycelia at neutral pH, developing apothecia and developing sclerotia). Among those ESTs specifically expressed, 277 (9.8%) pea ESTs were predicted to be involved in plant defense and response to biotic or abiotic stress, and 93 (9.3%) <it>S</it>. <it>sclerotiorum</it> ESTs were predicted to be involved in pathogenicity/virulence. Additionally, 142 <it>S</it>. <it>sclerotiorum</it> ESTs were identified as secretory/signal peptides of which only 21 were previously reported.</p> <p>Conclusions</p> <p>We present and characterize an EST resource specific to the pea-<it>S</it>. <it>sclerotiorum</it> interaction. Additionally, the tBLASTx method used to parse <it>S</it>. <it>sclerotiorum</it> and pea ESTs was demonstrated to be a reliable and accurate method to distinguish ESTs without a reference genome.</p>
ISSN:1471-2164