Annotation of the zebrafish genome through an integrated transcriptomic and proteomic analysis

Dhanashree S. Kelkar, Elayne Provost, Raghothama Chaerkady, Babylakshmi Muthusamy, Srikanth S. Manda, Tejaswini Subbannayya, Lakshmi Dhevi N. Selvan, Chieh Huei Wang, Keshava K. Datta, Sunghee Woo, Sutopa B. Dwivedi, Santosh Renuse, Derese Getnet, Tai Chung Huang, Min Sik Kim, Sneha M. Pinto, Christopher J. Mitchell, Anil K. Madugundu, Praveen Kumar, Jyoti SharmaJayshree Advani, Gourav Dey, Lavanya Balakrishnan, Nazia Syed, Vishalakshi Nanjappa, Yashwanth Subbannayya, Renu Goel, T. S.Keshava Prasad, Vineet Bafna, Ravi Sirdeshmukh, Harsha Gowda, Charles Wangbc, Steven D. Leach, Akhilesh Pandey

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Accurate annotation of protein-coding genes is one of the primary tasks upon the completion of whole genome sequencing of any organism. In this study, we used an integrated transcriptomic and proteomic strategy to validate and improve the existing zebrafish genome annotation. We undertook high-resolution mass-spectrometry-based proteomic profiling of 10 adult organs, whole adult fish body, and two developmental stages of zebrafish (SAT line), in addition to transcriptomic profiling of six organs. More than 7,000 proteins were identified from proteomic analyses, and ~69,000 high-confidence transcripts were assembled from the RNA sequencing data. Approximately 15% of the transcripts mapped to intergenic regions, the majority of which are likely long non-coding RNAs. These high-quality transcriptomic and proteomic data were used to manually reannotate the zebrafish genome. We report the identification of 157 novel protein-coding genes. In addition, our data led to modification of existing gene structures including novel exons, changes in exon coordinates, changes in frame of translation, translation in annotated UTRs, and joining of genes. Finally, we discovered four instances of genome assembly errors that were supported by both proteomic and transcriptomic data. Our study shows how an integrative analysis of the transcriptome and the proteome can extend our understanding of even well-annotated genomes.

Original languageEnglish (US)
Pages (from-to)3184-3198
Number of pages15
JournalMolecular and Cellular Proteomics
Volume13
Issue number11
DOIs
StatePublished - Nov 1 2014

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Molecular Biology

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