Email updates

Keep up to date with the latest news and content from BMC Genomics and BioMed Central.

Open Access Software

A honey bee (Apis mellifera L.) PeptideAtlas crossing castes and tissues

Queenie WT Chan1, Robert Parker1, Zhi Sun2, Eric W Deutsch2 and Leonard J Foster1*

Author Affiliations

1 Centre for High-Throughput Biology and Department of Biochemistry & Molecular Biology, University of British Columbia, Vancouver, Canada

2 Institute for Systems Biology, Seattle, WA, USA

For all author emails, please log on.

BMC Genomics 2011, 12:290  doi:10.1186/1471-2164-12-290

Published: 3 June 2011

Abstract

Background

Honey bees are a mainstay of agriculture, contributing billions of dollars through their pollination activities. Bees have been a model system for sociality and group behavior for decades but only recently have molecular techniques been brought to study this fascinating and valuable organism. With the release of the first draft of its genome in 2006, proteomics of bees became feasible and over the past five years we have amassed in excess of 5E+6 MS/MS spectra. The lack of a consolidated platform to organize this massive resource hampers our ability, and that of others, to mine the information to its maximum potential.

Results

Here we introduce the Honey Bee PeptideAtlas, a web-based resource for visualizing mass spectrometry data across experiments, providing protein descriptions and Gene Ontology annotations where possible. We anticipate that this will be helpful in planning proteomics experiments, especially in the selection of transitions for selected reaction monitoring. Through a proteogenomics effort, we have used MS/MS data to anchor the annotation of previously undescribed genes and to re-annotate previous gene models in order to improve the current genome annotation.

Conclusions

The Honey Bee PeptideAtlas will contribute to the efficiency of bee proteomics and accelerate our understanding of this species. This publicly accessible and interactive database is an important framework for the current and future analysis of mass spectrometry data.