Concerted action of the new Genomic Peptide Finder and AUGUSTUS allows for automated proteogenomic annotation of the Chlamydomonas reinhardtii genome

peer-reviewed · PROTEOMICS · 2011

peer-reviewed · PROTEOMICS · 2011. Michael Specht et al. The use and development of post-genomic tools naturally depends on large-scale genome sequencing projects…
Date 2011-05-01
Type peer-reviewed
Venue PROTEOMICS
Publisher Wiley
Contribution adjacent
DOI 10.1002/pmic.201000621
Citations (OpenAlex) 19

Abstract

The use and development of post-genomic tools naturally depends on large-scale genome sequencing projects. The usefulness of post-genomic applications is dependent on the accuracy of genome annotations, for which the correct identification of intron-exon borders in complex genomes of eukaryotic organisms is often an error-prone task. Although automated algorithms for predicting intron-exon structures are available, supporting exon evidence is necessary to achieve comprehensive genome annotation. Besides cDNA and EST support, peptides identified via MS/MS can be used as extrinsic evidence in a proteogenomic approach. We describe an improved version of the Genomic Peptide Finder (GPF), which aligns de novo predicted amino acid sequences to the genomic DNA sequence of an organism while correcting for peptide sequencing errors and accounting for the possibility of splicing. We have coupled GPF and the gene finding program AUGUSTUS in a way that provides automatic structural annotations of the Chlamydomonas reinhardtii genome, using highly unbiased GPF evidence. A comparison of the AUGUSTUS gene set incorporating GPF evidence to the standard JGI FM4 (Filtered Models 4) gene set reveals 932 GPF peptides that are not contained in the Filtered Models 4 gene set. Furthermore, the GPF evidence improved the AUGUSTUS gene models by altering 65 gene models and adding three previously unidentified genes.

Authors

  1. Michael Specht · University of Münster
  2. Mario Stanke · Universität Greifswald
  3. Mia Terashima · University of Münster
  4. Bianca Naumann‐Busch · University of Münster
  5. Ingrid Janßen · University of Münster
  6. Ricarda Höhner · University of Münster
  7. Erik F. Y. Hom · Center for Systems Biology, Harvard University
  8. Chun Liang · Miami University
  9. Michael Hippler · University of Münster, University of Pennsylvania

Methods and tools

  • Genomic Peptide Finder: Aligns de novo sequenced peptides directly to a genome, tolerating sequencing errors and introns, to provide proteogenomic evidence for gene annotation.

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