Published June 28, 2019 | Version v1
Journal article Open

MapMan4: A Refined Protein Classification and Annotation Framework Applicable to Multi-Omics Data Analysis

  • 1. Institute for Bio- and Geosciences, Forschungszentrum J€ulich, Wilhelm Johnen Straße, Julich, Germany
  • 2. Department of Arctic and Marine Biology, The Arctic University of Norway, Biology Building, 9037 Tromsø, Norway
  • 3. Institute for Botany and Molecular Genetics, BioEconomy Science Center, Worringer Weg, RWTH Aachen University, 52074 Aachen, Germany
  • 4. National Institute of Biology, Department of Biotechnology and Systems Biology, Vecna Pot 111, 1000 Ljubljana, Slovenia
  • 5. Max Planck Institute for Molecular Plant Physiology, Department of Systems Regulation, 14476 Potsdam-Golm, Germany

Description

Genome sequences from over 200 plant species have already been published, with this number expected to increase rapidly due to advances in sequencing technologies. Once a new genome has been assembled and the genes identified, the functional annotation of their putative translational products, proteins, using ontologies is of key importance as it places the sequencing data in a biological context. Furthermore, to keep pace with rapid production of genome sequences, this functional annotation process must be fully automated. Here we present a redesigned and significantly enhanced MapMan4 framework, together with a revised version of the associated online Mercator annotation tool. Compared with the original MapMan, the new ontology has been expanded almost threefold and enforces stricter assignment rules.
This framework was then incorporated into Mercator4, which has been upgraded to reflect current knowledge across the land plant group, providing protein annotations for all embryophytes with a comparably high quality. The annotation process has been optimized to allow a plant genome to be annotated in a matter of minutes. The output results continue to be compatible with the established MapMan desktop application.

Files

Usadel Bjorn 2019.pdf

Files (2.3 MB)

Name Size Download all
md5:430450bfac93ff8156abfcbdc7182a0d
2.3 MB Preview Download

Additional details

Funding

BREEDCAFS – BREEDing Coffee for AgroForestry Systems 727934
European Commission