Skip to main content

Visualisation of Transcriptomic s Data in Metabolic Pathways

  • Chapter
  • First Online:
Book cover Methodologies and Results in Grapevine Research
  • 1768 Accesses

Abstract

When performing genome wide transcriptomic s analysis life scientists quite often face problems with interpretation of huge amounts of data obtained. MapMan is a tool developed to help plant scientists in this aspect. Microarray data (or other omics data) are plotted onto diagrams representing metabolic and signaling pathways or alternatively large protein families. Application is flexible thus specificities of grapevine metabolism could have been implemented when adopting the system for this species. Overview of different analytical approaches using MapMan and few examples of analytical results are presented within this chapter.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

Abbreviations

ATP:

Adenosine-5'-triphosphate

CDD:

Conserved Domain Database

CHO:

Carbohydrate

DNA:

Deoxyribonucleic acid

GO:

Gene Ontology

PPAP:

Plant Proteome Annotation Program

RNA:

Ribonucleic acid

TC:

Tentative contig

TCA:

Tricarboxylic acid

TIGR:

The Institute for Genomic Research

VvGI:

Vitis vinifera Gene Index

References

  • Ageorges A, Fernandez L, Vialet S, Merdinoglu D, Terrier N, Romieu C (2006) Four specific isogenes of the anthocyanin metabolic pathway are systematically co-expressed with the red colour of grape berries. Plant Sci 170:372–383

    Article  CAS  Google Scholar 

  • Ashburner M et al (2000) Gene ontolog y: Tool for the unification of biology. The Gene Ontolog y Consortium. Nat Genet 25:25–29

    Article  PubMed  CAS  Google Scholar 

  • Diretto G, Tavazza R, Welsch R, Pizzichini D, Mourgues F, Papacchioli V, Beyer O, Giuliano G (2006) Metabolic engineering of potato tuber carotenoids through tuber-specific silencing of lycopene epsilon cyclase. BMC Plant Biol 6:13

    Article  PubMed  Google Scholar 

  • Doehlemann G, Wahl R, Horst RJ, Voll LM, Usadel B, Poree F, Stitt M, Pons-Kühnemann J, Sonnewald U, Kahmann R, Kämper J (2008) Reprogramming a maize plant: transcriptional and metabolic changes induced by the fungal biotroph Ustilago maydis. Plant J 56:181–195

    Article  PubMed  CAS  Google Scholar 

  • Grimplet J, Deluc LG, Tillett RL, Wheatley MD, Schlauch KA, Cramer GR, Cushman JC (2007) Tissue-specific mRNA expression profiling in grape berry tissues. BMC Genomics 8:187

    Article  PubMed  Google Scholar 

  • Gutierrez RA, Lejay LV, Dean A, Chiaromonte F, Shasha DE, Coruzzi GM (2007) Qualitative network models and genome-wide expression data define carbon/nitrogen-responsive molecular machines in Arabidopsis. Genome Biol 8:R7

    Article  PubMed  Google Scholar 

  • Howell K, Narsai R, Carroll A, Ivanova A, Lohse M, Usadel B, Millar AH, Whelan J (2009) Mapping metabolic and transcript temporal switches during germination in Oryza sativa highlights specific transcription factors and the role of RNA instability in the germination process. Plant Physiol 149:961–980

    Article  PubMed  CAS  Google Scholar 

  • Hren M, Nikolić P, Rotter A, Blejec A, Terrier N, Ravnikar M, Dermastia M, Gruden K (2009) ‘Bois noir’ phytoplasma induces significant reprogramming of the leaf transcriptome in the field grown grapevine. BMC Genomics 10:460

    Article  PubMed  Google Scholar 

  • Kohler J, Baumbach J, Taubert J, Specht M, Skusa A, Ruegg A, Rawlings C, Verrier P and Philippi S (2006) Graph-based analysis and visualization of experimental results with ONDEX. Bioinformatics 22:1383–1390

    Article  PubMed  CAS  Google Scholar 

  • Leakey AD, Xu F, Gillespie KM, McGrath JM, Ainsworth EA, Ort DR (2009) Genomic basis for stimulated respiration by plants growing under elevated carbon dioxide. Proc Natl Acad Sci USA. 2009 106:3597–3602

    Article  CAS  Google Scholar 

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

    Article  PubMed  CAS  Google Scholar 

  • Rotter A, Usadel B, Baebler Š, Stitt M, Gruden K (2007) Adaptation of the MapMan ontolog y to biotic stress responses: application in solanaceous species. Plant Methods 3:10

    Article  PubMed  Google Scholar 

  • Rotter A, Camps C, Lohse M, Kappel C, Pilati S, Hren M, Stitt M, Coutos-Thévenot P, Moser C, Usadel B, Delrot S, Gruden K (2009) Gene expression profiling in susceptible interaction of grapevine with its fungal pathogen Eutypa lata: Extending MapMan ontology for grapevine. BMC Plant Biol 9:104–117

    Article  PubMed  Google Scholar 

  • Sreenivasulu N, Usadel B, Winter A, Radchuk V, Scholz U, Stein N, Weschke W, Strickert M, Close TJ, Stitt M, Graner A, Wobus U (2008) Barley grain maturation and germination: Metabolic pathway and regulatory network commonalities and differences highlighted by new MapMan /PageMan profiling tools. Plant Physiol 146:1734–1761

    Article  Google Scholar 

  • Tellström V, Usadel B, Thimm O, Stitt M, Küster H, Niehaus K (2007) The Lipopolysaccharide of Sinorhizobium meliloti Suppresses Defense-associated gene expression in cell cultures of the host plant medicago truncatula. Plant Physiol 143:825–837

    Article  PubMed  Google Scholar 

  • Thimm O, Bläsing O, Gibon Y, Nagel A, Meyer S, Krüger P, Selbig J, Müller LA, Rhee SY and 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 

  • Urbanczyk-Wochniak E, Usadel B, Thimm O, Nunes-Nesi A, Carrari F, Davy M, Bläsing O, Kowalczyk M, Weicht D, Polinceusz A, Meyer S, Stitt M, Fernie AR (2006) Conversion of MapMan to allow the analysis of transcript data from Solanaceous species: effects of genetic and environmental alterations in energy metabolism in the leaf. Plant Mol Biol 60:773–792

    Article  PubMed  CAS  Google Scholar 

  • Usadel B, Nagel A, Thimm O, Redestig H, Blaesing OE, Palacios-Rojas N, Selbig J, Hannemann J, Conceiçăo Piques M, Steinhauser D, Scheible WR, Gibon Y, Morcuende R, Weicht D, Meyer S, Stitt M (2005) Extension of the visualization tool MapMan to allow statistical analysis of arrays, display of coresponding genes, and comparison with known responses. Plant Physiol 138:1195–1204

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ana Rotter .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

Rotter, A., Hren, M., Usadel, B., Gruden, K. (2010). Visualisation of Transcriptomic s Data in Metabolic Pathways. In: Delrot, S., Medrano, H., Or, E., Bavaresco, L., Grando, S. (eds) Methodologies and Results in Grapevine Research. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9283-0_23

Download citation

Publish with us

Policies and ethics