From phenotype to genotype: whole tissue profiling for plant breeding

Luned A. Roberts, Daniel Thorogood, Ian P. King, Royston Goodacre, Helen J. Ougham, S. M. Reader, David Ian Ellis

Research output: Contribution to journalArticlepeer-review

13 Citations (SciVal)

Abstract

Fourier transform infrared spectroscopy (FT-IR) was used to obtain ‘holistic’ metabolic fingerprints from a wide range of plants to differentiate species, population, single plant genotype, and chromosomal constitution differences. Sample preparation simply entailed the maceration of fresh leaves with water, and these samples were then dried and analysed by reflectance FT-IR where spectral acquisition was typically 10 s. All samples gave reproducible, characteristic biological infrared absorption spectra and these were analysed by chemometric methods. FT-IR is not biased to any particular chemical species and thus the whole tissue profiles produced measure the total biochemical makeup of the test sample; that is to say it represents a plant phenotype. We show that by simple cluster analysis these phenotypic measurements can be related to the genotypes of the plants and can reliably differentiate closely related individuals. We believe that this approach provides a valuable new tool for the rapid metabolomic profiling of plants, with applications to plant breeding and the assessment of substantial equivalency for genetically-modified plants.
Original languageEnglish
Pages (from-to)489-501
Number of pages13
JournalMetabolomics
Volume3
Issue number4
DOIs
Publication statusPublished - 01 Dec 2007

Keywords

  • artificial neural network
  • hierarchical cluster analysis
  • discriminant function
  • Lolium
  • principal components
  • Triticum

Fingerprint

Dive into the research topics of 'From phenotype to genotype: whole tissue profiling for plant breeding'. Together they form a unique fingerprint.

Cite this