Abstract
The species-specific plant Pathway Genome Databases (PGDBs) based on the BioCyc platform provide a conceptual model of the cellular metabolic network of an organism. Such frameworks allow analysis of the genome-scale expression data to understand changes in the overall metabolisms of an organism (or organs, tissues, and cells) in response to various extrinsic (e.g. developmental and differentiation) and/or extrinsic signals (e.g. pathogens and abiotic stresses) from the surrounding environment. Using FragariaCyc, a pathway database for the diploid strawberry Fragaria vesca, we show (1) the basic navigation across a PGDB; (2) a case study of pathway comparison across plant species; and (3) an example of RNA-Seq data analysis using Omics Viewer tool. The protocols described here generally apply to other Pathway Tools-based PGDBs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Tello-Ruiz MK et al (2016) Gramene 2016: comparative plant genomics and pathway resources. Nucleic Acids Res 44(D1):D1133–D1140
Mueller LA, Zhang P, Rhee SY (2003) AraCyc: a biochemical pathway database for Arabidopsis. Plant Physiol 132(2):453–460
Zhang P et al (2010) Creation of a genome-wide metabolic pathway database for Populus trichocarpa using a new approach for reconstruction and curation of metabolic pathways for plants. Plant Physiol 153(4):1479–1491
Dharmawardhana P et al (2013) A genome scale metabolic network for rice and accompanying analysis of tryptophan, auxin and serotonin biosynthesis regulation under biotic stress. Rice 6:1–15
Monaco MK et al (2013) Maize metabolic network construction and transcriptome analysis. Plant Genome 6(1):1–12
Naithani S et al (2014) VitisCyc: a metabolic pathway knowledgebase for grapevine (Vitis vinifera). Front Plant Sci 5:644
Jaiswal P, Usadel B (2016) Plant pathway databases. Methods Mol Biol 1374:71–87
Ghan R et al (2015) Five omic technologies are concordant in differentiating the biochemical characteristics of the berries of five grapevine (Vitis vinifera L.) cultivars. BMC Genomics 16(1):946
Lakshmanan M et al (2015) Unraveling the light-specific metabolic and regulatory signatures of rice through combined in silico modeling and multi-omics analysis. Plant Physiol 169:3002
Mohanty B et al (2016) Identification of candidate network hubs involved in metabolic adjustments of rice under drought stress by integrating transcriptome data and genome-scale metabolic network. Plant Sci 242:224–239
Zhang W et al (2015) Omics-based comparative transcriptional profiling of two contrasting rice genotypes during early infestation by small brown planthopper. Int J Mol Sci 16(12):28746–28764
Naithani S et al (2016) FragariaCyc: a metabolic pathway database for woodland strawberry Fragaria vesca. Front Plant Sci 7:242
Dal’Molin CG et al (2010) C4GEM, a genome-scale metabolic model to study C4 plant metabolism. Plant Physiol 154(4):1871–1885
de Oliveira Dal’Molin CG et al (2010) AraGEM, a genome-scale reconstruction of the primary metabolic network in Arabidopsis. Plant Physiol 152(2):579–589
Poolman MG et al (2013) Responses to light intensity in a genome-scale model of rice metabolism. Plant Physiol 162(2):1060–1072
Seaver SM et al (2015) Improved evidence-based genome-scale metabolic models for maize leaf, embryo, and endosperm. Front Plant Sci 6:142
Shulaev V et al (2011) The genome of woodland strawberry (Fragaria vesca). Nat Genet 43(2):109–116
Caspi R et al (2014) The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases. Nucleic Acids Res 42(1):D459–D471
Chae L et al (2012) Towards understanding how molecular networks evolve in plants. Curr Opin Plant Biol 15(2):177–184
Karp PD et al (2000) The EcoCyc and MetaCyc databases. Nucleic Acids Res 28(1):56–59
Monaco MK et al (2014) Gramene 2013: comparative plant genomics resources. Nucleic Acids Res 42(Database issue):D1193–D1199
Zhang P et al (2005) MetaCyc and AraCyc. Metabolic pathway databases for plant research. Plant Physiol 138(1):27–37
Kang C et al (2013) Genome-scale transcriptomic insights into early-stage fruit development in woodland strawberry Fragaria vesca. Plant Cell 25(6):1960–1978
Chae L et al (2014) Genomic signatures of specialized metabolism in plants. Science 344(6183):510–513
Karp PD et al (2015) Computational metabolomics operations at BioCyc.org. Metabolites 5(2):291–310
Moriya Y et al (2007) KAAS: an automatic genome annotation and pathway reconstruction server. Nucleic Acids Res 35(Web Server issue):W182–W185
Hanumappa M et al (2013) WikiPathways for plants: a community pathway curation portal and a case study in rice and arabidopsis seed development networks. Rice 6(1):14
Thimm O et al (2004) MAPMAN: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes. Plant J 37(6):914–939
Goodstein DM et al (2012) Phytozome: a comparative platform for green plant genomics. Nucleic Acids Res 40(Database issue):D1178–D1186
Acknowledgement
We are grateful to Peter Karp and his staff from SRI International for providing excellent Pathway Tools support. The FragariaCyc development was partially supported by funds provided to SN by Oregon State University and through collaboration with Dr. Pankaj Jaiswal. PJ acknowledges NSF IOS #1127112 grant.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
1 Electronic Supplementary Material
Supplementary Table 1
Biocyc-protocol-fragaria-16316 genes-1 (TXT 1196 KB)
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media New York
About this protocol
Cite this protocol
Naithani, S., Jaiswal, P. (2017). Pathway Analysis and Omics Data Visualization Using Pathway Genome Databases: FragariaCyc, a Case Study. In: van Dijk, A. (eds) Plant Genomics Databases. Methods in Molecular Biology, vol 1533. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6658-5_14
Download citation
DOI: https://doi.org/10.1007/978-1-4939-6658-5_14
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-6656-1
Online ISBN: 978-1-4939-6658-5
eBook Packages: Springer Protocols