From phenotype to genotype: whole tissue profiling for plant breeding

被引:14
作者
Goodacre, Royston
Roberts, Luned
Ellis, David I.
Thorogood, Danny
Reader, Stephen M.
Ougham, Helen [1 ]
King, Ian
机构
[1] Univ Wales, Inst Biol Sci, Aberystwyth SY23 3DD, Ceredigion, Wales
[2] Univ Manchester, Sch Chem, Manchester Interdisciplinary Bioctr, Manchester M1 7NDL, Lancs, England
[3] Univ Manchester, Sch Chem, Manchester M60 1QD, Lancs, England
[4] Inst Grassland & Environm Res, Palnt Genet & Breeding Dept, Aberystwyth SY23 3ED, Dyfed, Wales
[5] John Innes Ctr, Norwich NR4 7UH, Norfolk, England
基金
英国生物技术与生命科学研究理事会;
关键词
artificial neural network; hierarchical cluster analysis; discriminant function; lolium; principal components; triticum;
D O I
10.1007/s11306-007-0062-6
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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 pro. ling of plants, with applications to plant breeding and the assessment of substantial equivalency for genetically-modified plants.
引用
收藏
页码:489 / 501
页数:13
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