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Integrating transcriptomic and proteomic data for accurate assemb | 31240
Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

+44 1223 790975

Integrating transcriptomic and proteomic data for accurate assembly and annotation of genomes


6th International Conference & Expo on Proteomics

March 29-31, 2016 Atlanta, USA

Manish Kumar

Institute of Bioinformatics, India
Manipal University, India

Posters & Accepted Abstracts: J Proteomics Bioinform

Abstract :

The primary goal of whole genome sequencing efforts in any new organism is to provide accurate assembly and annotation of all protein-coding genes in the genome. Complementing genome sequence with deep transcriptome and proteome data could enable more accurate assembly and annotation of newly sequenced genomes. To this end, we provide a proof-of-concept for an analysis pipeline integrating experimental and computational workflows along with expert curation to greatly enhance genome assembly and annotation. We demonstrate a number of advantages of the proposed approach by analyzing the genome of Anopheles stephensi, which is one of the most important vectors of the malaria parasite. To achieve broad coverage of genes, we carried out transcriptome sequencing and deep proteome profiling of multiple anatomically distinct sites. Based on transcriptomic data alone, we identified and corrected 535 events of incomplete genome assembly involving 1,196 scaffolds and 868 protein-coding gene models. This approach enabled us to add 401 genes that were missed during genome annotation and identify 1,148 gene correction events through discovery of 173 novel exons, 357 protein extensions, 280 exon extensions, 207 novel protein start sites, 20 novel translational frames, 29 events of joining of exons and 82 events of joining of adjacent genes as a single gene. Incorporating proteomic evidence allowed us to change the designation of over 87 predicted ��?non-coding RNAs��? to conventional mRNAs coded by protein-coding genes. Importantly, extension of the newly corrected genome assemblies and gene models to 15 other newly assembled Anopheline genomes led to the discovery of a large number of apparent discrepancies in assembly and annotation of these genomes. Our data provide a framework for how future genome sequencing efforts should incorporate transcriptomic and proteomic analysis in combination with simultaneous manual curation to achieve near complete assembly and accurate annotation of genomes.

Biography :

Manish Kumar is currently a PhD student at the Institute of Bioinformatics, Bangalore, India. He has obtained his MSc degree in Biotechnology from Guru Jambheshwar University, India.

Email: ravikumarbly@yahoo.co.uk

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