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From phenotype to genotype: whole tissue profiling for plant breeding
Authors:Royston Goodacre  Luned Roberts  David I Ellis  Danny Thorogood  Stephen M Reader  Helen Ougham  Ian King
Institution:(1) Institute of Biological Sciences, University of Wales, Aberystwyth, Ceredigion, SY23 3DD, UK;(2) School of Chemistry and Manchester Interdisciplinary Biocentre, The University of Manchester, 131 Princess Street, Manchester, M1 7ND, UK;(3) Present address: School of Chemistry, The University of Manchester, PO Box 88, Sackville Street, Manchester, M60 1QD, UK;(4) Plant Genetics & Breeding Department, Institute of Grassland & Environmental Research, Plas Gogerddan, Aberystwyth, SY23 3EB, Wales, UK;(5) John Innes Centre, Norwich Research Park, Colney, Norwich, NR4 7UH, UK
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.
Keywords:artificial neural network  hierarchical cluster analysis  discriminant function  Lolium  principal components  Triticum
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