Prof John Draper

Prof John Draper


Institute Director of Enabling Technologies

Contact Details


I currently manage the High Resolution Metabolomics Laboratory and am responsible for oversight of Enabling Technologies within IBERS including core facilities for Metabolomics, Next Generation Sequencing, Plant Phenomics and Bioinformatics.



From a technology perspective I am interested in the development of generic, high throughput phenotyping methodologies, based on global metabolite analysis (metabolomics) for use in a range of fields. My lab is concentrating on metabolite fingerprinting & profiling using high resolution mass spectrometry techniques.

I have established a range of collaborations with laboratories interested in the application of metabolomics technology in food & nutrition research & in plant pathology. We have developed high throughput methods (metabolite fingerprinting, data representation & data analysis) for compositional analysis & comparison of food raw materials. Alongside clinical/veterinary institutions & industry partners, we are currently researching methods for determining dietary exposure & individual responses to diet constituents in humans & domesticated animals from blood & urine analysis.

From a fundamental research perspective my team has pioneered the development of Brachypodium distachyon as a new model system for plant functional genomics. Together with local & international collaborators we played a key role in collecting & characterizing Brachypodium distachyon germplasm in terms of karyotype, comparative genomics, tissue culture behavior, transformation efficiency & pathogen interactions.

Currently I am developing a metabolomics platform for both metabolite identification & high throughput phenotyping in grasses & cereals based on the Brachypodium metabolome. A practical application of this research focuses on a study of metabolic reprogramming in B. distachyon, rice & barley during the biotrophic phases of interaction with rice blast. In collaboration with Nick Talbot (Univ. Exeter, UK) this project extends to an analysis of metabolome changes in Magnapo


Use of biomarkers to assess fruit and vegetables intakeWoodside, J. V., Draper, J., Lloyd, A. & McKinley, M. C. 2017 In : Proceedings of the Nutrition Society.76, 3, p. 308-3158 p.
Integrated Analytical and Statistical Two-Dimensional Spectroscopy Strategy for Metabolite Identification: Application to Dietary BiomarkersPosma, J. M., Garcia-Perez, I., Heaton, J. C., Burdisso, P., Mathers, J. C., Draper, J., Lewis, M., Lindon, J. C., Frost, G., Holmes, E. & Nicholson, J. K. 2017 In : Analytical Chemistry.89, 6, p. 3300-330910 p.
Diversity and association of phenotypic and metabolomic traits in the close model grasses Brachypodium distachyon, B. stacei and B. hybridumLópez-Álvarez, D., Zubair, H., Beckmann, M., Draper, J. & Catalán, P. 2017 In : Annals of Botany.119, 4, p. 545-561
Objective assessment of dietary patterns by use of metabolic phenotyping: a randomised, controlled, crossover trialGarcia-Perez, I., Posma, J. M., Gibson, R., Chambers, E. S., Hanson, T. H., Vestergaard, H., Hansen, T., Beckmann, M., Pedersen, O., Elliott, P., Stamler, J., Nicholson, J. K., Draper, J., Mathers, J. C., Holmes, E. & Frost, G. 2017 In : Lancet Diabetes and Endocrinology.5, 3, p. 184-195
Ultra High Performance Liquid Chromatography-High Resolution Mass Spectrometry plasma lipidomics can distinguish between canine breeds despite uncontrolled environmental variability and non-standardized diets: Plasma lipidome of dog breeds using UHPLC-HRMLloyd, A., Beckmann, M., Wilson, T., Tailliart, K., Allaway, D. & Draper, J. 2017 In : Metabolomics.13, 15
Developing community-based urine sampling methods to facilitate dietary exposure biomarker technology for population assessmentWilson, T., Willis, N. D., Zubair, H., Beckmann, M., Xie, L., Tailliart, K., Lloyd, A., Mathers, J. C. & Draper, J. 2016 In : Proceedings of the Nutrition Society.75, OCE3, E240
Quantification of dietary biomarkers in spot urine samples reflects the intake of foods of UK high public health importanceLloyd, A. J., Zubair, H., Willis, N. D., Wilson, T., Xie, L., Tailliart, K., Chambers, E. S., Garcia-Perez, I., Holmes, E., Frost, G., Mathers, J. C., Beckmann, M. & Draper, J. 2016 In : Proceedings of the Nutrition Society.75, OCE3, E248
Characterisation of the main drivers of intra- and inter- breed variability in the plasma metabolome of dogsLloyd, A., Beckmann, M., Tailliart, K., Brown, W. Y., Draper, J. & Allaway, D. 2016 In : Metabolomics.12, 4, 72
An Analytical Pipeline for Quantitative Characterization of Dietary Intake: Application To Assess Grape IntakeGarcia-Perez, I., Posma, J. M., Chambers, E. S., Nicholson, J. K., Mathers, J. C., Beckmann, M., Draper, J., Holmes, E. & Frost, G. 2016 In : Journal of Agricultural and Food Chemistry.64, 11, p. 2423-24319 p.
Changes in the human plasma and urinary metabolome associated with acute dietary exposure to sucrose and the identification of potential biomarkers of sucrose intakeBeckmann, M., Joosen, A. M., Clarke, M. M., Mugridge, O., Frost, G., Engel, B., Tailliart, K., Lloyd, A., Draper, J. & Lodge, J. K. 2016 In : Molecular Nutrition and Food Research.60, 2, p. 444-457
Variation in the M. longissumus texture and cooking loss from cattle within a commercial supply chain.MacKintosh, S., Draper, J., Scott, A., Leemans, D., Morgan, S., Powell, H., Richardson, R. I. & Scollan, N. 2016 p. 138
Improving Efficiency and Reducing Waste in the Beef Supply ChainScollan, N., MacKintosh, S., Richardson, R. I., Singh, A., Mishra, N. & Draper, J. 2016 p. 211
Dietary compliance in a human intervention study investigating the impact of specific foods on urinary metabolitesWillis, N. D., Dodds, S. E., Lloyd, A. J., Xie, L., Chambers, E. S., Garcia-Perez, I., Frost, G., Beckmann, M., Draper, J. & Mathers, J. C. 2015 In : Proceedings of the Nutrition Society.74, OCE1, 1 p., E127
The food metabolome: A window over dietary exposureScalbert, A., Brennan, L., Manach, C., Andres-Lacueva, C., Dragsted, L. O., Draper, J., Rappaport, S. M., Van Der Hooft, J. J. J. & Wishart, D. S. 2014 In : American Journal of Clinical Nutrition.99, 6, p. 1286-1308
Erratum to: Brachypodium distachyon: making hay with a wild grass: [Trends in Plant Science 13 (2008) 172–177]Opanowicz, M., Vain, P., Draper, J., Parker, D. & Doonan, J. H. 2014 In : Trends in Plant Science.19, 3, p. 193
Merits of random forests emerge in evaluation of chemometric classifiers by external validationScott, I. M., Lin, W., Liakata, M., Wood, J. E., Vermeer, C. P., Allaway, D., Ward, J. L., Draper, J., Beale, M. H., Corol, D. I., Baker, J. M. & King, R. D. 2013 In : Analytica Chimica Acta.801, p. 22-3312 p., ACA232839
Hydroxylated phenylacetamides derived from bioactive benzoxazinoids are bioavailable in humans after habitual consumption of whole grain sourdough rye breadBeckmann, M., Lloyd, A. J., Halder, S., Seal, C., Brandt, K. & Draper, J. 2013 In : Molecular Nutrition and Food Research.57, 10, p. 1859-187315 p.
Dietary exposure biomarker-lead discovery based on Metabolomics analysis of urine samplesBeckmann, M., Lloyd, A., Halder, S., Fave, G., Seal, C., Brandt, K., Mathers, J. C. & Draper, J. 2013 In : Proceedings of the Nutrition Society.72, 3, p. 352-36110 p.
Flow infusion electrospray ionisation mass spectrometry for high throughput, non-targeted metabolite fingerprinting: A ReviewDraper, J., Lloyd, A. J., Goodacre, R. & Beckmann, M. 2013 In : Metabolomics.9, 1 Supplement, p. S4–S2926 p.
Data-driven strategy for the discovery of potential urinary biomarkers of habitual dietary exposureLloyd, A. J., Beckmann, M., Haldar, S., Seal, C., Brandt , K. & Draper, J. 2013 In : American Journal of Clinical Nutrition.97 , 2 , p. 377-38912 p.
Deciphering systemic wound responses of the pumpkin extrafascicular phloem by metabolomics and stable isotope-coded protein labeling (ICPL).Graupels, F., Sarioglu, H., Beckmann, M., Hause, B., Spannagl, M., Draper, J., Lindermayr, C. & Durner, J. 2012 In : Plant Physiology.160, 4, p. 2285-9915 p.
Fourier transform ion cyclotron resonance mass spectrometry for plant metabolite profiling and metabolite identificationAllwood, J. W., Parker, D., Beckmann, M., Draper, J. & Goodacre, R. 2012 Methods in Molecular Biology.Springer Nature, p. 157-17620 p.
EPPN: High throughput plant phenotyping facilities at AberystwythDoonan, J., Howarth, C., Camargo-Rodriguez, A., Allison, G., Swain, G., Gay, A. & Draper, J. 2012
Development and validation of a standardized protocol to monitor human dietary exposure by metabolite fingerprinting of urine samplesFavé, G., Beckmann, M., Lloyd, A., Zhou, S., Harold, G., Lin, W., Tailliart, K., Xie, L., Draper, J. & Mathers, J. C. 2011 In : Metabolomics.7, 4, p. 469-48416 p.
Proline betaine and its biotransformation products in fasting urine samples are potential biomarkers of habitual citrus fruit consumptionLloyd, A. J., Beckmann, M., Favé, G., Mathers, J. C. & Draper, J. 2011 In : British Journal of Nutrition.106, 6, p. 812-82413 p.
Use of mass spectrometry fingerprinting to identify urinary metabolites after consumption of specific foodsLloyd, A. J., Favé, G., Beckmann, M., Lin, W., Tailliart, K., Xie, L., Mathers, J. C. & Draper, J. 2011 In : American Journal of Clinical Nutrition.94, 4, p. 981-99111 p.
Metabolite analysis and metabolomics in the study of biotrophic interactions between plants and microbesDraper, J., Rasmussen, S. & Zubair, H. 2011 Annual Plant Reviews. Hall, R. D. (ed.). Wiley, p. 25-5935 p.
Workshop Report Metabolomics and human nutritionPrimrose, S., Draper, J., Elsom, R., Kirkpatrick, V., Mathers, J. C., Seal, C., Beckmann, M., Haldar, S., Beattie, J. H., Lodge, J. K., Jenab, M., Keun, H. & Scalbert, A. 2011 In : British Journal of Nutrition.105, 8, p. 1277-12837 p.
Development of high throughput plant phenotyping facilities at AberystwythHowarth, C. J., Gay, A. P., Draper, J. & Powell, W. 2011 Phenomics Workshop.
Choosing the number of labels in image segmentationLiu, Y., Draper, J. H., Gay, A. P., Howarth, C. & Martin, R. R. 2011
The metabolic transition during disease following infection of Arabidopsis thaliana by Pseudomonas syringae pv. tomato.Ward, J. L., Forcat, S., Beckmann, M., Bennett, M., Miller, S. J., Baker, J. M., Hawkins, N. D., Vermeer, C. P., Lu, C., Lin, W., Truman, W. M., Beale, M. H., Draper, J., Mansfield, J. W. & Grant, M. 2010 In : Plant Journal.63, 3, p. 443-45715 p.
Enhancement of plant metabolite fingerprinting by machine learningScott, I. M., Vermeer, C. P., Liakata, M., Corol, D. I., Ward, J. L., Lin, W., Johnson, H. E., Whitehead, L., Kular, B., Baker, J. M., Walsh, S., Dave, A., Larson, T. R., Graham, I. A., Wang, T. L., King, R. D., Draper, J. & Beale, M. H. 2010 In : Plant Physiology.153, 4, p. 1506-152015 p.
Metabolite fingerprinting of urine suggests breed-specific dietary metabolism differences in domestic dogsBeckmann, M., Enot, D. P. L., Overy, D. P., Scott, I. M., Jones, P. G., Allaway, D. & Draper, J. 2010 In : British Journal of Nutrition.103, 8, p. 1127-113812 p.
Metabolomic analysis reveals a common pattern of metabolic re-programming during invasion of three host plant species by Magnaporthe griseaParker, D. A., Beckmann, M., Zubair, H., Enot, D. P. L., Caracuel-Rios, Z., Overy, D. P., Snowdon, S., Talbot, N. J. & Draper, J. 2009 In : Plant Journal.59, 5, p. 723-73715 p.
Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'Draper, J., Enot, D. P. L., Parker, D. A., Beckmann, M., Snowdon, S., Lin, W. & Zubair, H. 2009 In : BMC Bioinformatics.10, 227, 227
Measurement of dietary exposure: a challenging problem which may be overcome thanks to metabolomics?Favé, G., Beckmann, M., Draper, J. & Mathers, J. C. 2009 In : Genes and Nutrition.4, 2, p. 135-1417 p.
Brachypodium distachyon: making hay with a wild grassOpanowicz, M., Vain, P., Draper, J. H., Parker, D. & Doonan, J. H. 2008 In : Trends in Plant Science.13, 4, p. 172-1776 p.
Explanatory signal interpretation and metabolite identification strategies for nominal mass FIE-MS metabolite fingerprintsOvery, D. P., Enot, D. P. L., Tailliart, K., Jenkins, H. A., Parker, D. A., Beckmann, M. & Draper, J. 2008 In : Nature Protocols.3, p. 471-48515 p.
Rice blast infection of Brachypodium distachyon as a model system to study dynamic host/pathogen interactionsParker, D., Beckmann, M., Enot, D. P., Overy, D. P., Rios, Z. C., Gilbert, M., Talbot, N. & Draper, J. 2008 In : Nature Protocols.3, p. 435-44511 p.
High throughput, non-targeted metabolite fingerprinting using nominal mass Flow Injection Electrospray Mass SpectrometryBeckmann, M., Parker, D. A., Enot, D. P. L., Duval, E. & Draper, J. 2008 In : Nature Protocols.3, p. 486-50419 p.
Preprocessing, classification modeling and feature selection using flow injection electrospray mass spectrometry metabolite fingerprint dataEnot, D. P., Lin, W., Beckmann, M., Parker, D., Overy, D. P. & Draper, J. 2008 In : Nature Protocols.3, p. 446-47025 p.
Soil differentiation using fingerprint Fourier transform infrared spectroscopy, chemometrics and genetic algorithm-based feature selectionElliott, G. N., Worgan, H., Broadhurst, D. I., Draper, J. H. & Scullion, J. 2007 In : Soil Biology and Biochemistry.39, 11, p. 2888-28969 p.
Statistical measures for validating plant genotype similarity assessments following multivariate analysis of metabolome fingerprint dataEnot, D. P. & Draper, J. H. 2007 In : Metabolomics.p. 349-3557 p.
Detecting a difference - assessing generalisability when modelling metabolome fingerprint data in longer term studies of genetically modified plantsEnot, D. P., Beckmann, M. & Draper, J. 2007 In : Metabolomics.3, 3, p. 335-34713 p.
Representation, comparison, and interpretation of metabolome fingerprint data for total composition analysis and quality trait investigation in potato cultivarsBeckmann, M., Enot, D. P., Overy, D. P. & Draper, J. 2007 In : Journal of Agricultural and Food Chemistry.55, 9, p. 3444-34518 p.
GC-MS Peak Labeling Under ArMetJenkins, H. A., Beckmann, M., Draper, J. & Hardy, N. W. 2007 Concepts in Plant Metabolomics. Nikolau, B. J. & Wurtele, E. S. (eds.). Dordrecht: Springer Nature, p. 19-2810 p.
Predicting interpretability of metabolome models based on behavior, putative identity, and biological relevance of explanatory signalsEnot, D. P., Beckmann, M., Overy, D. P. & Draper, J. 2006 In : Proceedings of the National Academy of Sciences of the United States of America.103, 40, p. 14865-148706 p.
Rapid characterization of microbial biodegradation pathways by FT-IR spectroscopyHuang, W., Hopper, D. J., Goodacre, R., Beckmann, M., Singer, A. & Draper, J. 2006 In : Journal of Microbiological Methods.67, 2, p. 273-2808 p.
Alignment of the genomes of brachypodium distachyon and temperate cereals and grasses using bacterial artificial chromosome landing with fluorescence in situ hybridizationDonnison, I. S., King, I. P., Wolny, E., Jenkins, G. M., Marasek, A., Armstead, I. P., Hasterok, R., Idziak, D., Draper, J. H. & Thomas, A. M. 2006 In : Genetics.173, 1, p. 349-36214 p.
On the interpretation of high throughput MS based metabolomics fingerprints with Random ForestEnot, D. P., Beckmann, M. & Draper, J. 2006 Second International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006. Proceedings.Springer Nature, p. 226-23510 p.
The use of chemical profiling for monitoring metabolic changes in artificial soil slurries caused by horizontal gene transferHuang, W., Goodacre, R., Elliott, G. N., Beckmann, M., Worgan, H., Bailey, M. J., Williams, P. A., Scullion, J. & Draper, J. 2005 In : Metabolomics.p. 305-31511 p.
Hierarchical metabolomics demonstrates substantial compositional similarity between genetically-modified and conventional potato cropsCatchpole, G., Beckmann, M., Enot, D. P. L., Mondhe, M., Zywicki, B., Taylor, J., Hardy, N. W., Smith, A. R., King, R. D., Kell, D. B., Fiehn, O. & Draper, J. 2005 In : Proceedings of the National Academy of Sciences of the United States of America.102, 40, p. 14458-144625 p.
In planta measurements of oxidative bursts elicited by avirulent and virulent bacterial pathogens suggests that H2O2 is insufficient to elicit cell death in tobaccoDraper, J. H., Kenton, P. & Mur, L. A. J. 2005 In : Plant, Cell and Environment.p. 548-56114 p.
Comparison of rapid liquid chromatography-electrospray ionization-tandem mass spectrometry methods for determination of glycoalkaloids in transgenic field-grown potatoesZywicki, B., Catchpole, G., Fiehn, O. & Draper, J. H. 2005 In : Analytical Biochemistry.336, 2, p. 178-1869 p.
Models and meiosis in the ’omics eraJenkins, G., Mikhailova, E., Phillips, D., Hasterok, R., Draper, J. & Jones, R. N. 2005 Recent advances in genetics and breeding of the grasses. Zwierzykowski, Z. & Kosmala, A. (eds.). Polish Academy of Sciences, p. 97-1048 p.
Prospects for functional genomics in a new model grassJenkins, G., Mur, L., Bablak, P., Hasterok, R. & Draper, J. 2004 Plant Functional Genomics. Leister, D. (ed.). Taylor & Francis
A proposed framework for the description of plant metabolomics experiments and their resultsJenkins, H. A., Hardy, N. W., Beckmann, M., Draper, J., Smith, A. R., Taylor, J., Fiehn, O., Goodacre, R., Bino, R. J., Hall, R. D., Kopka, J., Lane, G. A., Lange, . M., Liu, J. R., Mendes, P., Nikolau, B. J., Oliver, S. G., Paton, N. W., Rhee, S., Roessner-Tunali, U., Saito, K., Smedsgaard, J., Sumner, L. W., Wang, T., Walsh, S., Wurtele, E. S. & Kell, D. B. 2004 In : Nature Biotechnology.22, 12, p. 1601-16066 p.
Potential of metabolomics as a functional genomics toolBino, R. J., Hall, R. D., Fiehn, O., Kopka, J., Saito, K., Draper, J. H., Nikolau, B. J., Mendes, P., Roessner-Tunali, U., Beale, M. H., Trethewey, R. N., Lange, B. M., Wurtele, E. S. & Sumner, L. W. 2004 In : Trends in Plant Science.9, 9, p. 418-4258 p.
Characterization of a proteinase inhibitor from Brachypodium distachyon suggests the conservation of defence signalling pathways between dicotyledonous plants and grassesStoddart, W. M., Xu, R. L., Routledge, A. P. M., Draper, J. H., Casson, S. A. & Mur, L. A. J. 2004 In : Molecular Plant Pathology.5, 4, p. 267-28014 p.
Laying the cytotaxonomic foundation of a new model grass, Brachypodium distachyon (L.) Beauv.Hasterok, R., Draper, J. H. & Jenkins, G. M. 2004 In : Chromosome Research.12, 4, p. 397-4037 p.
Magnaporthe grisea interactions with the model grass Brachypodium distachyon closely resemble those with rice (Oryza sativa)Routledge, A. P. M., Draper, J. H., Talbot, N. J., Smith, J. V., Mur, L. A. J. & Shelley, G. 2004 Molecular Plant Pathology.Wiley, p. 253-26513 p.
The AoPR10 promoter and certain endogenous PR10 genes respond to oxidative signals in ArabidopsisFarrell, G. G., Sturgess, F. J., Mur, L. A. J. & Draper, J. H. 2004 In : Molecular Plant Pathology.p. 267-28014 p.
Food quality and microbial succession in ageing earthworm casts: standard microbial indices and metabolic fingerprintingScullion, J., Goodacre, R., Elliott, G. N., Huang, W., Worgan, H., Gwynn-Jones, D., Griffith, G. W., Darby, R. M., Bailey, M. J., Clegg, C. D. & Draper, J. H. 2003 p. 5-62 p.
Use of earthworm casts to validate FT-IR spectroscopy as a 'sentinel' technology for high-throughput monitoring of global changes in microbial ecologyScullion, J., Elliott, G. N., Huang, W., Goodacre, R., Worgan, H., Darby, R. M., Bailey, M. J., Gwynn-Jones, D., Griffith, G. W., Winson, M. K., Williams, P. A., Clegg, C. D. & Draper, J. 2003 In : Pedobiologia.47, 5-6, p. 440-4467 p.
Building the molecular cytogenetic infrastructure of a new model grassJenkins, G., Hasterok, R. & Draper, J. 2003 Application of Novel Cytogenetic and Molecular Techniques in Genetics and Breeding of the Grasses. Zwierzykowski, Z., Surma, M. & Kachlicki, P. (eds.). Polish Academy of Sciences, p. 77-848 p.
Metabolic Engineering, metabolite profiling and machine learning to investigate the phloem-mobile signal in systemic acquired resistance in tobaccoDraper, J., Darby, R. M., Beckmann, M., Maddison, A. L., Mondhe, M., Sheldrick, C., Taylor, J., Goodacre, R. & Kell, D. B. 2002
Brachypodium distachyon. A new model system for functional genomics in grassesBablak, P., Jenkins, G. M., Ghosh-Biswas, G. C., Routledge, A. P. M., Mur, L. A. J., Draper, J. H. & Hasterok, R. 2001 In : Plant Physiology.p. 1539-155517 p.
Genomic computing. Explanatory analysis of plant expression profiling data using machine learning.Kell, D. B., Draper, J. H. & Darby, R. M. 2001 In : Plant Physiology.p. 943-9519 p.
A loss of resistance to avirulent bacterial pathogens in tobacco is associated with the attenuation of a salicylic acid-potentiated oxidative burstMur, L., Brown, I. R., Darby, R., Bestwick, C. S., Bi, Y-M., Mansfield, J. W. & Draper, J. 2000 In : Plant Journal.23, 5, p. 309-621