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Seed Development: OMICS Technologies toward Improvement of Seed Quality and Crop Yield pp 345–366Cite as

Plant Metabolic Pathways: Databases and Pipeline for Stoichiometric Analysis

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Abstract

Mathematical modeling of plant metabolism offers new approaches to improve the understanding of complex biological processes. In this chapter an overview of resources and tools available for the reconstruction of stoichiometric models and their constraint-based analysis is given, focusing on plant metabolic pathways. To facilitate and support the modeling of metabolism, a pipeline for the constraint-based analysis of crop plant metabolic models is described and the proposed framework is applied in a case study of storage metabolism in developing barley seeds.

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Authors and Affiliations

  1. Clayton School of Information Technology, Monash University, 3800, Victoria, Australia

    Falk Schreiber

  2. Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, 06466, Gatersleben, Germany

    Eva Grafahrend-Belau, Björn H. Junker & Falk Schreiber

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  1. Eva Grafahrend-Belau
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  2. Björn H. Junker
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  3. Falk Schreiber
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Correspondence to Falk Schreiber .

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  1. RLABB, Sanepa, Lalitpur, Nepal

    Ganesh K. Agrawal

  2. , Biology, University of Tsukuba, Tennoudai 1-1-1, Tsukuba, 305-8572, Japan

    Randeep Rakwal

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Grafahrend-Belau, E., Junker, B.H., Schreiber, F. (2012). Plant Metabolic Pathways: Databases and Pipeline for Stoichiometric Analysis. In: Agrawal, G., Rakwal, R. (eds) Seed Development: OMICS Technologies toward Improvement of Seed Quality and Crop Yield. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4749-4_17

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