Deep proteogenomics; high throughput gene validation by multidimensional liquid chromatography and mass spectrometry of proteins from the fungal wheat pathogen Stagonospora nodorum
Date
2009-09-22
Authors
Bringans, Scott
Hane, James
Casey, Tammy
Tan, Kar-Chun
Lipscombe, Richard J
Solomon, Peter S
Oliver, Richard Peter
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Publisher
BioMed Central Ltd
Abstract
BACKGROUND: Stagonospora nodorum, a fungal ascomycete in the class dothideomycetes, is a
damaging pathogen of wheat. It is a model for necrotrophic fungi that cause necrotic symptoms via
the interaction of multiple effector proteins with cultivar-specific receptors. A draft genome
sequence and annotation was published in 2007. A second-pass gene prediction using a training set
of 795 fully EST-supported genes predicted a total of 10762 version 2 nuclear-encoded genes, with
an additional 5354 less reliable version 1 genes also retained.
RESULTS: In this study, we subjected soluble mycelial proteins to proteolysis followed by 2D LC
MALDI-MS/MS. Comparison of the detected peptides with the gene models validated 2134 genes.
62% of these genes (1324) were not supported by prior EST evidence. Of the 2134 validated genes,
all but 188 were version 2 annotations. Statistical analysis of the validated gene models revealed a
preponderance of cytoplasmic and nuclear localised proteins, and proteins with intracellularassociated
GO terms. These statistical associations are consistent with the source of the peptides
used in the study. Comparison with a 6-frame translation of the S. nodorum genome assembly
confirmed 905 existing gene annotations (including 119 not previously confirmed) and provided
evidence supporting 144 genes with coding exon frameshift modifications, 604 genes with
extensions of coding exons into annotated introns or untranslated regions (UTRs), 3 new gene
annotations which were supported by tblastn to NR, and 44 potential new genes residing within
un-assembled regions of the genome.
CONCLUSION: We conclude that 2D LC MALDI-MS/MS is a powerful, rapid and economical tool to
aid in the annotation of fungal genomic assemblies.
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Keywords
Keywords: Gene annotation; Gene prediction; Genome assembly; Genome sequences; High throughput; Multidimensional liquid chromatography; Necrotic symptoms; Untranslated regions; Fungi; Liquid chromatography; Mass spectrometry; Peptides; Genes; fungal protein; peptid
Citation
BMC Bioinformatics 10.301 (2009)
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BMC Bioinformatics
Type
Journal article
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