Experimental annotation of channel catfish virus by probabilistic proteogenomic mapping

Dusan Kunec, Bindu Nanduri, Shane C. Burgess

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

Experimental identification of expressed proteins by proteomics constitutes the most reliable approach to identify genomic location and structure of protein-coding genes and substantially complements computational genome annotation. Channel catfish herpesvirus (CCV) is a simple comparative model for understanding herpesvirus biology and the evolution of the Herpesviridae. The canonical CCV genome has 76 predicted ORF and only 12 of these have been confirmed experimentally. We describe a modification of a statistical method, which assigns significance measures, q-values, to peptide identifications based on 2-D LC ESI MS/MS, real-decoy database searches and SEQUEST XCorr and DCn scores. We used this approach to identify CCV proteins expressed during its replication in cell culture, to determine protein composition of mature virions and, consequently, to refine the canonical CCVgenome annotation. To complement trypsin, we used partial proteinase K digestion, which yielded greater proteome coverage. At FDR <5%, for peptide identifications, we identified 25/76 previously predicted ORF using trypsin and 31/76 using proteinase K. Furthermore, we identified 17 novel protein-coding regions (7 potential ATG-initiated ORF). Most of these novel ORF encode small proteins (<100 amino acids). Directed, strand-specific reverse transcription real-time PCR confirmed RNA expression from 6/7 novel ATG-initiated ORF investigated.

Original languageEnglish (US)
Pages (from-to)2634-2647
Number of pages14
JournalProteomics
Volume9
Issue number10
DOIs
StatePublished - May 2009
Externally publishedYes

Keywords

  • Decoy databases
  • Herpesvirus
  • Proteinase K
  • Proteogenomic mapping
  • Q-value

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

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