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A large‐scale proteogenomics study of apicomplexan pathogens— Toxoplasma gondii and Neospora caninum
Author(s) -
Krishna Ritesh,
Xia Dong,
Sanderson Sanya,
Shanmugasundram Achchuthan,
Vermont Sarah,
Bernal Axel,
DanielNaguib Gianluca,
Ghali Fawaz,
Brunk Brian P.,
Roos David S.,
Wastling Jonathan M.,
Jones Andrew R.
Publication year - 2015
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201400553
Subject(s) - neospora caninum , proteogenomics , biology , toxoplasma gondii , computational biology , gene annotation , gene , genome , proteomics , genetics , gene prediction , genomics , antibody
Proteomics data can supplement genome annotation efforts, for example being used to confirm gene models or correct gene annotation errors. Here, we present a large‐scale proteogenomics study of two important apicomplexan pathogens: Toxoplasma gondii and Neospora caninum . We queried proteomics data against a panel of official and alternate gene models generated directly from RNASeq data, using several newly generated and some previously published MS datasets for this meta‐analysis. We identified a total of 201 996 and 39 953 peptide‐spectrum matches for T. gondii and N. caninum , respectively, at a 1% peptide FDR threshold. This equated to the identification of 30 494 distinct peptide sequences and 2921 proteins (matches to official gene models) for T. gondii , and 8911 peptides/1273 proteins for N. caninum following stringent protein‐level thresholding. We have also identified 289 and 140 loci for T. gondii and N. caninum , respectively, which mapped to RNA‐Seq‐derived gene models used in our analysis and apparently absent from the official annotation (release 10 from EuPathDB) of these species. We present several examples in our study where the RNA‐Seq evidence can help in correction of the current gene model and can help in discovery of potential new genes. The findings of this study have been integrated into the EuPathDB. The data have been deposited to the ProteomeXchange with identifiers PXD000297and PXD000298.