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Proteogenomic Gene Structure Validation in the Pineapple Genome.

Norazrin Ariffin1,2, David Wells Newman1, Michael G Nelson1

  • 1School of Biological Sciences, Faculty of Biology Medicine and Health, MAHSC, University of Manchester, Michael Smith Building, Oxford Road, Manchester M13 9PT, United Kingdom.

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Summary

This study used proteogenomics to analyze MD2 pineapple (Ananas comosus) leaves, validating existing genes and discovering 30 novel gene candidates. This research enhances the pineapple genome annotation and understanding of its genetic makeup.

Keywords:
computational biologygenome annotationgenomicsproteogenomicsproteomics

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Area of Science:

  • Plant genomics
  • Proteomics
  • Biotechnology

Background:

  • The MD2 pineapple (Ananas comosus) is a globally significant crop with high water-use efficiency due to crassulacean acid metabolism (CAM).
  • Despite its importance, a high-quality annotated proteome for the MD2 pineapple was previously unavailable, hindering genetic research.

Purpose of the Study:

  • To conduct a pilot proteogenomic study on MD2 pineapple leaves.
  • To validate existing genome annotations and discover novel genes using mass spectrometry-based proteomics.
  • To improve the annotation of the pineapple genome.

Main Methods:

  • Liquid chromatography-mass spectrometry (LC-MS/MS) was employed to analyze the proteome of MD2 pineapple leaves.
  • Proteomic data was used to validate proteins predicted in the F153 (V3) genome annotation.
  • Peptide identifications were mapped to both the standard genome and a transcriptome-derived database to identify novel gene candidates.

Main Results:

  • 1781 predicted proteins in the F153 (V3) genome were validated.
  • 603 additional peptide identifications mapped exclusively to an MD2 transcriptome-derived database.
  • 402 nonoverlapping peptides supported 30 high-quality gene candidates novel to pineapple genomes.

Conclusions:

  • The study successfully validated a significant portion of the predicted pineapple proteome and identified novel genes.
  • Proteogenomic analysis, integrating transcriptomics and proteomics, is a powerful approach for discovering novel genes and refining genome annotations in plants.
  • The findings contribute valuable, experimentally validated gene information to the pineapple genome, enhancing its annotation and future research.