Data from proteome analysis of Lasiodiplodia theobromae (Botryosphaeriaceae)
peer-reviewed · Data in Brief · 2017
| Date | 2017-08-01 |
| Type | peer-reviewed |
| Venue | Data in Brief |
| Publisher | Elsevier BV |
| Contribution | downstream-application |
| DOI | 10.1016/j.dib.2017.04.058 |
| Citations (OpenAlex) | 2 |
Abstract
Trunk disease fungi are a global problem affecting many economically important fruiting trees. The Botryosphaeriaceae are a family of trunk disease fungi that require detailed biochemical characterization in order to gain insight into their pathogenicity. The application of a modified Folch extraction to protein extraction from the Botryosphaeriaceae Lasiodiplodia theobromae generated an unprecedented data set of protein identifications from fragmentation analysis and de novo peptide sequencing of its proteome. This article contains data from protein identifications obtained from a database-dependent fragmentation analysis using three different proteomics algorithms (MSGF, Comet and X! Tandem via the SearchGUI proteomics pipeline program) and de novo peptide sequencing. Included are data sets of gene ontology annotations using an all-Uniprot ontology database, as well as a Saccharomyces cerevisiae -only and a Candida albicans -only ontology database, in order to discern between those proteins involved in common functions with S. cerevisiae and those in common with the pathogenic yeast C. albicans . Our results reveal the proteome of L. theobromae contains more ontological categories in common to C. albicans , yet possesses a much wider metabolic repertoire than any of the yeasts studied in this work. Many novel proteins of interest were identified for further biochemical characterization and annotation efforts, as further discussed in the article referencing this article (1). Interactive Cytoscape networks of molecular functions of identified peptides using an all-Uniprot ontological database are included. Data, including raw data, are available via ProteomeXchange with identifier PXD005283.
Methods and tools
- Lasiodiplodia theobromae proteome: Proteomics of the trunk-disease fungus Lasiodiplodia theobromae, where de novo peptide sequencing alongside database search revealed novel proteins including proteases and allergenic enolases.
Data deposited
- A novel protein extraction method for proteomics of the trunk disease fungus Lasiodiplodia theobromae (Botryosphaeriaceae) — as deposited · PXD005283
Cites (5)
- Novel proteins from proteomic analysis of the trunk disease fungus Lasiodiplodia theobromae (Botryosphaeriaceae) (2017) both
- Novor: Real-Time Peptide de Novo Sequencing Software (2015) both
- PeptideShaker enables reanalysis of MS-derived proteomics data sets (2015) both
- DeNovoGUI: An Open Source Graphical User Interface for de Novo Sequencing of Tandem Mass Spectra (2014) both
- PepNovo: de novo peptide sequencing via probabilistic network modeling (2005) both