Skip to main content

Putting the Plant Metabolic Network Pathway Databases to Work: Going Offline to Gain New Capabilities

  • Protocol
  • First Online:
Plant Metabolism

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1083))

Abstract

Metabolic databases such as The Plant Metabolic Network/MetaCyc and KEGG PATHWAY are publicly accessible resources providing organism-specific information on reactions and metabolites. KEGG PATHWAY depicts metabolic networks as wired, electronic circuit-like maps, whereas the MetaCyc family of databases uses a canonical textbook-like representation. The first MetaCyc-based database for a plant species was AraCyc, which describes metabolism in the model plant Arabidopsis. This database was created over 10 years ago and has since then undergone extensive manual curation to reflect updated information on enzymes and pathways in Arabidopsis. This chapter describes accessing and using AraCyc and its underlying Pathway Tools software. Specifically, methods for (1) navigating Pathway Tools, (2) visualizing omics data and superimposing the data on a metabolic pathway map, and (3) creating pathways and pathway components are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kanehisa M (1996) Toward pathway engineering: a new database of genetic and molecular pathways. Sci Technol Jpn 59:34–38

    Google Scholar 

  2. Karp PD, Riley M, Paley SM, Pelligrini-Toole A (1996) EcoCyc: an encyclopedia of Escherichia coli genes and metabolism. Nucleic Acids Res 24:32–39

    Article  PubMed  CAS  Google Scholar 

  3. Kanehisa M, Goto S, Furumichi M, Tanabe M, Hirakawa M (2010) KEGG for representation and analysis of molecular networks involving diseases and drugs. Nucleic Acids Res 38:D355–D360

    Article  PubMed  CAS  Google Scholar 

  4. Karp PD, Riley M, Saier M, Paulsen IT, Paley SM, Pellegrini-Toole A (2000) The EcoCyc and MetaCyc databases. Nucleic Acids Res 28:56–59

    Article  PubMed  CAS  Google Scholar 

  5. Caspi R, Altman T, Dale JM, Dreher K, Fulcher CA, Gilham F, Kaipa P, Karthikeyan AS, Kothari A, Krummenacker M et al (2010) The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases. Nucleic Acids Res 38:D473–D479

    Article  PubMed  CAS  Google Scholar 

  6. Jaiswal P (2011) Gramene database: a hub for comparative plant genomics [Internet]. In: Pereira A (ed) Plant reverse genetics. Humana Press, Totowa, NJ, pp 247–275

    Chapter  Google Scholar 

  7. Youens-Clark K, Buckler E, Casstevens T, Chen C, DeClerck G, Derwent P, Dharmawardhana P, Jaiswal P, Kersey P, Karthikeyan AS et al (2011) Gramene database in 2010: updates and extensions. Nucleic Acids Res 39:D1085–D1094

    Article  PubMed  CAS  Google Scholar 

  8. Zhang P, Dreher K, Karthikeyan A, Chi A, Pujar A, Caspi R, Karp P, Kirkup V, Latendresse M, Lee C 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 153:1479–1491

    Article  PubMed  CAS  Google Scholar 

  9. May P, Christian J-O, Kempa S, Walther D (2009) ChlamyCyc: an integrative systems biology database and web-portal for Chlamydomonas reinhardtii. BMC Genomics 10:209

    Article  PubMed  Google Scholar 

  10. Urbanczyk-Wochniak E, Sumner LW (2007) MedicCyc: a biochemical pathway database for Medicago truncatula. Bioinformatics 23:1418–1423

    Article  PubMed  CAS  Google Scholar 

  11. Mazourek M, Pujar A, Borovsky Y, Paran I, Mueller L, Jahn MM (2009) A dynamic interface for capsaicinoid systems biology. Plant Physiol 150:1806–1821

    Article  PubMed  CAS  Google Scholar 

  12. Mueller LA, Zhang P, Rhee SY (2003) AraCyc: a biochemical pathway database for Arabidopsis. Plant Physiol 132:453–460

    Article  PubMed  CAS  Google Scholar 

  13. Grafahrend-Belau E, Weise S, Koschützki D, Scholz U, Junker BH, Schreiber F (2008) MetaCrop: a detailed database of crop plant metabolism. Nucleic Acids Res 36:D954–D958

    Article  PubMed  CAS  Google Scholar 

  14. Matthews L, Gopinath G, Gillespie M, Caudy M, Croft D, de Bono B, Garapati P, Hemish J, Hermjakob H, Jassal B et al (2009) Reactome knowledgebase of human biological pathways and processes. Nucleic Acids Res 37:D619–D622

    Article  PubMed  CAS  Google Scholar 

  15. Thimm O, Bläsing O, Gibon Y, Nagel A, Meyer S, Krüger P, Selbig J, Müller LA, Rhee SY, Stitt M (2004) MAPMAN a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes. Plant J 37:914–939

    Article  PubMed  CAS  Google Scholar 

  16. Yan J, Zhang C, Gu M, Bai Z, Zhang W, Qi T, Cheng Z, Peng W, Luo H, Nan F et al (2009) The Arabidopsis CORONATINE INSENSITIVE1 protein is a jasmonate receptor. Plant Cell 21:2220–2236

    Article  PubMed  CAS  Google Scholar 

  17. Gidda SK, Miersch O, Levitin A, Schmidt J, Wasternack C, Varin L (2003) Biochemical and molecular characterization of a hydroxyjasmonate sulfotransferase from Arabidopsis thaliana. J Biol Chem 278:17895–17900

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

The author would like to thank George Dreher for testing the protocols and improving the manuscript as well as Peifen Zhang, Sue Rhee, the members of the Rhee lab, and all of the members of the Pathways Tools/MetaCyc group. This work was funded by the US National Science Foundation (awards NSF DBI-0640769 and IOS-1026003).

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media, New York

About this protocol

Cite this protocol

Dreher, K. (2014). Putting the Plant Metabolic Network Pathway Databases to Work: Going Offline to Gain New Capabilities. In: Sriram, G. (eds) Plant Metabolism. Methods in Molecular Biology, vol 1083. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-661-0_10

Download citation

  • DOI: https://doi.org/10.1007/978-1-62703-661-0_10

  • Published:

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-62703-660-3

  • Online ISBN: 978-1-62703-661-0

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics