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Proteogenomic analysis of pathogenic yeast cryptococcus neoformans using high resolution mass spectrometry

  • Lakshmi Dhevi Nagarajha Selvan
  • , Jyothi Embekkat Kaviyil
  • , Raja Sekhar Nirujogi
  • , Babylakshmi Muthusamy
  • , Vinuth N. Puttamallesh
  • , Tejaswini Subbannayya
  • , Nazia Syed
  • , Aneesha Radhakrishnan
  • , Dhanashree S. Kelkar
  • , Sartaj Ahmad
  • , Sneha M. Pinto
  • , Praveen Kumar
  • , Anil K. Madugundu
  • , Bipin Nair
  • , Aditi Chatterjee
  • , Akhilesh Pandey
  • , Raju Ravikumar
  • , Harsha Gowda*
  • , Thottethodi Subrahmanya Keshava Prasad
  • *Corresponding author for this work
  • Institute of Bioinformatics
  • International Technology Park
  • Amrita Vishwa Vidyapeetham
  • Department of Neuromicrobiology
  • National Institute of Mental Health and Neurosciences
  • Centre of Excellence in Bioinformatics
  • Pondicherry University
  • Department of Biochemistry and Molecular Biology
  • Manipal Academy of Higher Education
  • Johns Hopkins University
  • Department of Oncology

Research output: Contribution to journal › Article › peer-review

Abstract

Background: Cryptococcus neoformans, a basidiomycetous fungus of universal occurrence, is a significant opportunistic human pathogen causing meningitis. Owing to an increase in the number of immunosuppressed individuals along with emergence of drug-resistant strains, C. neoformans is gaining importance as a pathogen. Although, whole genome sequencing of three varieties of C. neoformans has been completed recently, no global proteomic studies have yet been reported. Results: We performed a comprehensive proteomic analysis of C. neoformans var. grubii (Serotype A), which is the most virulent variety, in order to provide protein-level evidence for computationally predicted gene models and to refine the existing annotations. We confirmed the protein-coding potential of 3,674 genes from a total of 6,980 predicted protein-coding genes. We also identified 4 novel genes and corrected 104 predicted gene models. In addition, our studies led to the correction of translational start site, splice junctions and reading frame used for translation in a number of proteins. Finally, we validated a subset of our novel findings by RT-PCR and sequencing. Conclusions: Proteogenomic investigation described here facilitated the validation and refinement of computationally derived gene models in the intron-rich genome of C. neoformans, an important fungal pathogen in humans.

Original languageEnglish
Article number5
JournalClinical Proteomics
Volume11
Issue number1
DOIs
Publication statusPublished - 2014
Externally publishedYes

Keywords

  • Antifungal drugs
  • Computational prediction
  • Cryptococcal meningitis
  • Fungal genomics
  • Fungal infection
  • Genome annotation

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