From phenotype to genotype: whole tissue profiling for plant breeding

Royston Goodacre, Luned Roberts, David I. Ellis, Danny Thorogood, Stephen M. Reader, Helen Ougham, Ian King

    Research output: Contribution to journalArticlepeer-review

    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 - Dec 2007

    Keywords

    • artificial neural network
    • hierarchical cluster analysis
    • discriminant function
    • lolium
    • principal components
    • triticum

    Research Beacons, Institutes and Platforms

    • Manchester Institute of Biotechnology

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