Plant metabolomics: From experimental design to knowledge extraction

Amit Rai, Shivshankar Umashankar, Sanjay Swarup

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Metabolomics is one of the most recent additions to the functional genomics approaches. It involves the use of analytical chemistry techniques to provide high-density data of metabolic profiles. Data is then analyzed using advanced statistics and databases to extract biological information, thus providing the metabolic phenotype of an organism. Large variety of metabolites produced by plants through the complex metabolic networks and their dynamic changes in response to various perturbations can be studied using metabolomics. Here, we describe the basic features of plant metabolic diversity and analytical methods to describe this diversity, which includes experimental workflows starting from experimental design, sample preparation, hardware and software choices, combined with knowledge extraction methods. Finally, we describe a scenario for using these workflows to identify differential metabolites and their pathways from complex biological samples.

Original languageEnglish (US)
Title of host publicationLegume Genomics
Subtitle of host publicationMethods and Protocols
EditorsRay Rose
Pages279-312
Number of pages34
DOIs
StatePublished - 2013
Externally publishedYes

Publication series

NameMethods in Molecular Biology
Volume1069
ISSN (Print)1064-3745

Keywords

  • Arabidopsis
  • Extraction
  • Fragmentation of metabolites
  • Homogenization
  • LCMS
  • Metabolic profiling
  • Metabolite identification
  • Metabolomics data mining

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Fingerprint

Dive into the research topics of 'Plant metabolomics: From experimental design to knowledge extraction'. Together they form a unique fingerprint.

Cite this