Frontiers in Plant Science (Dec 2012)

UniProtKB amid the turmoil of plant proteomics research

  • Michel eSchneider,
  • The UniProt eConsortium,
  • The UniProt eConsortium,
  • The UniProt eConsortium,
  • Sylvain ePoux

DOI
https://doi.org/10.3389/fpls.2012.00270
Journal volume & issue
Vol. 3

Abstract

Read online

The UniProt knowledgebase (UniProtKB) provides a single, centralized, authoritative resource for protein sequences and functional information. The majority of its records is based on automatic translation of coding sequences (CDS) provided by submitters at the time of initial deposition to the nucleotide sequence databases (INSDC). More and more frequently, only the raw sequence of a complete genome is deposited to the nucleotide sequence databases and the gene model predictions and annotations are kept in separate, specialized model organism databases (MODs). In order to be able to provide the complete proteome of model organisms, UniProtKB had to implement pipelines for import of protein sequences from Ensembl and EnsemblGenomes.A single genome can be the target of several unrelated sequencing projects and the final assembly and gene model predictions may diverge quite significantly. In addition, several cultivars of the same species are often sequenced -1001 Arabidopsis cultivars are currently under way- and the resulting proteomes are far from being identical. Therefore, one challenge for UniProtKB is to store and organize these data in a convenient way and to clearly defined reference proteomes that should be made available to users. Manual annotation is one of the landmarks of the Swiss-Prot section of UniProtKB. Besides adding functional annotation, curators are checking, and often correcting, gene model predictions. For plants, this task is limited to Arabidopsis thaliana and Oryza sativa subsp japonica. Proteomics data providing experimental evidences confirming the existence of proteins or identifying sequence features such as post translational modifications are also imported into UniProtKB records and the knowledgebase is cross-referenced to numerous proteomics resources.

Keywords