Proteogenomic Re-Annotation ofCoccidioides posadasiiStrain Silveira
Autor: | Natalie M. Mitchell, Surendra Dasari, D. Mitchell Magee, Douglas F. Lake, Thomas E. Grys, Andrew L. Sherrard |
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Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Genetics Coccidioidomycosis Coccidioides Proteome biology Gene prediction Computational Biology Molecular Sequence Annotation Retrotransposon biology.organism_classification Proteogenomics Biochemistry Genome Peptide Fragments Coccidioides posadasii 03 medical and health sciences 030104 developmental biology Tandem Mass Spectrometry Molecular Biology Gene |
Zdroj: | PROTEOMICS. 18:1700173 |
ISSN: | 1615-9853 |
DOI: | 10.1002/pmic.201700173 |
Popis: | The aims of this study were to provide protein-based evidence upon which to re-annotate of the genome of C. posadasii, one of two closely related species of Coccidioides, a dimorphic fungal pathogen that causes coccidioidomycosis, also called Valley Fever. Proteins present in lysates and filtrates of in vitro grown mycelia and parasitic phase spherules from C. posadasii strain Silveira were analyzed using a GeLC-MS/MS method. Acquired spectra were processed with a proteogenomics workflow comprising a Silveira proteome database, a 6-frame translation of the Silveira genome and an ab initio gene prediction tool prior to validation against published ESTs. This study provides evidence for 837 genes expressed at the protein level, of which 169 proteins (20.2%) were putative proteins and 103 (12.3%) were not annotated in the Silveira genome. Additionally, 275 novel peptides were derived from intragenic regions of the genome and 13 from intergenic regions, resulting in 172 gene refinements. Additionally, we are the first group to report translationally active retrotransposon elements in a Coccidioides spp. Our study reveals that the currently annotated genome of C. posadasii str. Silveira needs refinement, which is likely to be the case for many non-model organisms. This article is protected by copyright. All rights reserved |
Databáze: | OpenAIRE |
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