Investigating plant-plant interference by metabolic fingerprinting.

New analytical developments in post-genomic technologies are being introduced to the field of plant ecology. FT-IR fingerprinting coupled with chemometrics via cluster analysis is proposed as a tool for correlating global metabolic changes with abiotic or biotic perturbation and/or interactions. The current study concentrates on detecting chemical responses by inter-species competition between a monocotyledon Brachypodium distachyion and a dicotyledon Arabidopsis thaliana. Growth analysis of 42 days old plants showed differences in both species under competition. Clear changes in the FT-IR metabolic fingerprints of B. distachyion in competition with A. thaliana were observed, whilst there were no apparent chemical differences in the A. thaliana plant tissues. This study demonstrates the power of this approach in detecting changes in the global metabolic profiles of plants in response to biotic interactions, and we believe FT-IR is appropriate for rapid screening (10 s per sample) prior to targeted metabolite analyses.

[1]  R. Goodacre,et al.  Fourier transform infrared spectroscopy and chemometrics as a tool for the rapid detection of other vegetable fats mixed in cocoa butter , 2001 .

[2]  A. Mallik,et al.  Growth Inhibitory Effects of Nutgrass (Cyperus rotundus) on Rice (Oryza sativa) Seedlings , 2000, Journal of Chemical Ecology.

[3]  Harald Labischinski,et al.  The rapid differentiation and identification of pathogenic bacteria using Fourier transform infrared spectroscopic and multivariate statistical analysis , 1988 .

[4]  Tommy J Phelps,et al.  Metabolomics and microarrays for improved understanding of phenotypic characteristics controlled by both genomics and environmental constraints. , 2002, Current opinion in biotechnology.

[5]  D B Kell,et al.  Discrimination of aerobic endospore-forming bacteria via electrospray-lonization mass spectrometry of whole cell suspensions. , 2001, Analytical chemistry.

[6]  D. Kell,et al.  Flow-injection electrospray ionization mass spectrometry of crude cell extracts for high-throughput bacterial identification , 2002, Journal of the American Society for Mass Spectrometry.

[7]  C. Lemieux,et al.  Determination of allelochemicals in spring cereal cultivars of different competitiveness , 1999, Weed Science.

[8]  Royston Goodacre,et al.  Contribution of pyrolysis-mass spectrometry (Py-MS) to authenticity testing of honey , 2001 .

[9]  J. Draper,et al.  Brachypodium distachyon. A new model system for functional genomics in grasses. , 2001, Plant physiology.

[10]  Tormod Næs,et al.  Multivariate calibration. I. Concepts and distinctions , 1984 .

[11]  Royston Goodacre,et al.  Rapid Differentiation of Closely RelatedCandida Species and Strains by Pyrolysis-Mass Spectrometry and Fourier Transform-Infrared Spectroscopy , 1998, Journal of Clinical Microbiology.

[12]  R. D'ari Systematic functional analysis of the yeast genome , 1998 .

[13]  R. Goodacre,et al.  Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis , 2003, Springer US.

[14]  E. B. Peffley,et al.  Suppression of Amaranthus spinosus and Kochia scoparia: evidence of competition or allelopathy in Allium fistulosum , 1995 .

[15]  Hans-Curt Flemming,et al.  FTIR-spectroscopy in microbial and material analysis , 1998 .

[16]  O. Fiehn,et al.  Metabolite profiling for plant functional genomics , 2000, Nature Biotechnology.

[17]  D. Massart Chemometrics: A Textbook , 1988 .

[18]  R. Wetzel,et al.  Allelochemical autotoxicity in the emergent wetland macrophyte Juncus effusus (Juncaceae). , 2000, American journal of botany.

[19]  D. Naumann,et al.  Classification and identification of bacteria by Fourier-transform infrared spectroscopy. , 1991, Journal of general microbiology.

[20]  Douglas B. Kell,et al.  Explanatory Analysis of the Metabolome Using Genetic Programming of Simple, Interpretable Rules , 2000, Genetic Programming and Evolvable Machines.

[21]  E. K. Kemsley,et al.  Potential of Fourier transform infrared spectroscopy for the authentication of vegetable oils , 1994 .

[22]  Oliver Fiehn,et al.  Combining Genomics, Metabolome Analysis, and Biochemical Modelling to Understand Metabolic Networks , 2001, Comparative and functional genomics.

[23]  R. Hunt Plant growth analysis , 1980 .

[24]  D. Kell,et al.  Metabolic profiling using direct infusion electrospray ionisation mass spectrometry for the characterisation of olive oils. , 2002, The Analyst.

[25]  O. Fiehn Metabolomics – the link between genotypes and phenotypes , 2004, Plant Molecular Biology.

[26]  D B Kell,et al.  Genomic computing. Explanatory analysis of plant expression profiling data using machine learning. , 2001, Plant physiology.

[27]  Royston Goodacre,et al.  Evolutionary computation for the interpretation of metabolomic data. , 2003 .

[28]  Robert E. Blackshaw,et al.  Yellow sweetclover, green manure, and its residues effectively suppress weeds during fallow , 2001, Weed Science.

[29]  Bryan F. J. Manly,et al.  Multivariate Statistical Methods : A Primer , 1986 .

[30]  D B Kell,et al.  Rapid identification of urinary tract infection bacteria using hyperspectral whole-organism fingerprinting and artificial neural networks. , 1998, Microbiology.

[31]  John C. Lindon,et al.  Metabonomics: metabolic processes studied by NMR spectroscopy of biofluids , 2000 .

[32]  A. Putnam,et al.  The Science of allelopathy , 1986 .

[33]  John L. Harper,et al.  Population Biology of Plants. , 1978 .

[34]  D B Kell,et al.  Detection of the dipicolinic acid biomarker in Bacillus spores using Curie-point pyrolysis mass spectrometry and Fourier transform infrared spectroscopy. , 2000, Analytical chemistry.

[35]  D. Tilman,et al.  1 – Perspectives on Plant Competition: Some Introductory Remarks , 1990 .

[36]  Terry V. Callaghan,et al.  Inhibition of growth, and effects on nutrient uptake of arctic graminoids by leaf extracts — allelopathy or resource competition between plants and microbes? , 1995, Oecologia.