6533b7d0fe1ef96bd125b794
RESEARCH PRODUCT
Toward completion of the Earth’s proteome: an update a decade later
Pablo MierMiguel A. Andrade-navarrosubject
ProteomeOperations researchKnowledge Bases0206 medical engineering02 engineering and technologyComputational biologyBiology03 medical and health sciencesAnnotationProtein sequencingSequence Analysis ProteinThree-domain systemRedundancy (engineering)AnimalsHumansDatabases ProteinMolecular Biology030304 developmental biologySequence (medicine)0303 health sciencesComputational BiologyProteinsProtein superfamilyProteomeUniProtSoftware020602 bioinformaticsInformation Systemsdescription
Protein databases are steadily growing driven by the spread of new more efficient sequencing techniques. This growth is dominated by an increase in redundancy (homologous proteins with various degrees of sequence similarity) and by the incapability to process and curate sequence entries as fast as they are created. To understand these trends and aid bioinformatic resources that might be compromised by the increasing size of the protein sequence databases, we have created a less-redundant protein data set. In parallel, we analyzed the evolution of protein sequence databases in terms of size and redundancy. While the SwissProt database has decelerated its growth mostly because of a focus on increasing the level of annotation of its sequences, its counterpart TrEMBL, much less limited by curation steps, is still in a phase of accelerated growth. However, we predict that before 2020, almost all entries deposited in UniProtKB will be homologous to known proteins. We propose that new sequencing projects can be made more useful if they are driven to sequencing voids, parts of the tree of life far from already sequenced species or model organisms. We show these voids are present in the Archaea and Eukarya domains of life. The approach to the certainty of the redundancy of new protein sequence entries leads to the consideration that most of the protein diversity on Earth has already been described, which we estimate to be of around 3.75 million proteins, revising down the prediction we did a decade ago.
year | journal | country | edition | language |
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2017-10-12 | Briefings in Bioinformatics |