Colmsee, Christian ORCID: 0000-0003-4387-4923, Mascher, Martin ORCID: 0000-0001-6373-6013, Czauderna, Tobias ORCID: 0000-0002-1788-9593, Hartmann, Anja, Schlueter, Urte, Zellerhoff, Nina, Schmitz, Jessica, Braeutigam, Andrea, Pick, Thea R., Alter, Philipp, Gahrtz, Manfred, Witt, Sandra, Fernie, Alisdair R., Boernke, Frederik, Fahnenstich, Holger, Bucher, Marcel, Dresselhaus, Thomas, Weber, Andreas P. M., Schreiber, Falk, Scholz, Uwe ORCID: 0000-0001-6113-3518 and Sonnewald, Uwe ORCID: 0000-0003-1835-5339 (2012). OPTIMAS-DW: A comprehensive transcriptomics, metabolomics, ionomics, proteomics and phenomics data resource for maize. BMC Plant Biol., 12. LONDON: BMC. ISSN 1471-2229

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Abstract

Background: Maize is a major crop plant, grown for human and animal nutrition, as well as a renewable resource for bioenergy. When looking at the problems of limited fossil fuels, the growth of the world's population or the world's climate change, it is important to find ways to increase the yield and biomass of maize and to study how it reacts to specific abiotic and biotic stress situations. Within the OPTIMAS systems biology project maize plants were grown under a large set of controlled stress conditions, phenotypically characterised and plant material was harvested to analyse the effect of specific environmental conditions or developmental stages. Transcriptomic, metabolomic, ionomic and proteomic parameters were measured from the same plant material allowing the comparison of results across different omics domains. A data warehouse was developed to store experimental data as well as analysis results of the performed experiments. Description: The OPTIMAS Data Warehouse (OPTIMAS-DW) is a comprehensive data collection for maize and integrates data from different data domains such as transcriptomics, metabolomics, ionomics, proteomics and phenomics. Within the OPTIMAS project, a 44K oligo chip was designed and annotated to describe the functions of the selected unigenes. Several treatment- and plant growth stage experiments were performed and measured data were filled into data templates and imported into the data warehouse by a Java based import tool. A web interface allows users to browse through all stored experiment data in OPTIMAS-DW including all data domains. Furthermore, the user can filter the data to extract information of particular interest. All data can be exported into different file formats for further data analysis and visualisation. The data analysis integrates data from different data domains and enables the user to find answers to different systems biology questions. Finally, maize specific pathway information is provided. Conclusions: With OPTIMAS-DW a data warehouse for maize was established, which is able to handle different data domains, comprises several analysis results that will support researchers within their work and supports systems biological research in particular. The system is available at http://www.optimas-bioenergy.org/optimas_dw.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Colmsee, ChristianUNSPECIFIEDorcid.org/0000-0003-4387-4923UNSPECIFIED
Mascher, MartinUNSPECIFIEDorcid.org/0000-0001-6373-6013UNSPECIFIED
Czauderna, TobiasUNSPECIFIEDorcid.org/0000-0002-1788-9593UNSPECIFIED
Hartmann, AnjaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schlueter, UrteUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zellerhoff, NinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schmitz, JessicaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Braeutigam, AndreaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pick, Thea R.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Alter, PhilippUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Gahrtz, ManfredUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Witt, SandraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fernie, Alisdair R.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Boernke, FrederikUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fahnenstich, HolgerUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bucher, MarcelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dresselhaus, ThomasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Weber, Andreas P. M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schreiber, FalkUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Scholz, UweUNSPECIFIEDorcid.org/0000-0001-6113-3518UNSPECIFIED
Sonnewald, UweUNSPECIFIEDorcid.org/0000-0003-1835-5339UNSPECIFIED
URN: urn:nbn:de:hbz:38-476439
DOI: 10.1186/1471-2229-12-245
Journal or Publication Title: BMC Plant Biol.
Volume: 12
Date: 2012
Publisher: BMC
Place of Publication: LONDON
ISSN: 1471-2229
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
INFORMATION; DIVERSITY; GENOMEMultiple languages
Plant SciencesMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/47643

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