Prof John Draper
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 Magnaporthae grisae during epidermal cell penetration & colonization.
My research is supported by grants from the BBSRC, The Foods Standards Agency & Industry.
Integrated Analytical and Statistical Two-Dimensional Spectroscopy Strategy for Metabolite Identification: Application to Dietary Biomarkers. Analytical Chemistry 89 (6) pp. 3300-3309. 10.1021/acs.analchem.6b033242017.
Diversity and association of phenotypic and metabolomic traits in the close model grasses Brachypodium distachyon, B. stacei and B. hybridum. Annals of Botany 119 (4) pp. 545-561. 10.1093/aob/mcw239 Cadair2017.
Objective assessment of dietary patterns by use of metabolic phenotyping: a randomised, controlled, crossover trial. Lancet Diabetes and Endocrinology 5 (3) pp. 184-195. 10.1016/S2213-8587(16)30419-3 Cadair2017.
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-HRM. Metabolomics 13 15 10.1007/s11306-016-1152-0 Cadair2017.
Developing community-based urine sampling methods to facilitate dietary exposure biomarker technology for population assessment. Proceedings of the Nutrition Society 75 (OCE3) E240 Nutrition Society Summer Meeting. 10.1017/S002966511600255X Cadair2016.
Quantification of dietary biomarkers in spot urine samples reflects the intake of foods of UK high public health importance. Proceedings of the Nutrition Society 75 (OCE3) E248 Nutrition Society Summer Meeting. 10.1017/S0029665116002639 Cadair2016.
An Analytical Pipeline for Quantitative Characterization of Dietary Intake: Application To Assess Grape Intake. Journal of Agricultural and Food Chemistry 64 (11) pp. 2423-2431. 10.1021/acs.jafc.5b05878 Cadair2016.
Changes in the human plasma and urinary metabolome associated with acute dietary exposure to sucrose and the identification of potential biomarkers of sucrose intake. Molecular Nutrition and Food Research 60 (2) pp. 444-457. 10.1002/mnfr.201500495 Cadair2016.
Dietary compliance in a human intervention study investigating the impact of specific foods on urinary metabolites. Proceedings of the Nutrition Society 74 (OCE1) E127 10.1017/S00296651150014212015.
Hydroxylated phenylacetamides derived from bioactive benzoxazinoids are bioavailable in humans after habitual consumption of whole grain sourdough rye bread. Molecular Nutrition and Food Research 57 (10) pp. 1859-1873. 10.1002/mnfr.201200777 Cadair2013.
Flow infusion electrospray ionisation mass spectrometry for high throughput, non-targeted metabolite fingerprinting: A Review. Metabolomics 9 (1 Supplement) pp. S4–S29. 10.1007/s11306-012-0449-x Cadair2013.
Deciphering systemic wound responses of the pumpkin extrafascicular phloem by metabolomics and stable isotope-coded protein labeling (ICPL). Plant Physiology 160 (4) pp. 2285-99. 10.1104/pp.112.205336 Cadair2012.
Fourier transform ion cyclotron resonance mass spectrometry for plant metabolite profiling and metabolite identification. Methods in Molecular Biology. Springer Nature pp. 157-176. 10.1007/978-1-61779-594-7_11 Cadair2012.
Proline betaine and its biotransformation products in fasting urine samples are potential biomarkers of habitual citrus fruit consumption. British Journal of Nutrition 106 (6) pp. 812-824. 10.1017/S0007114511001164 Cadair2011.
Development of high throughput plant phenotyping facilities at Aberystwyth. Phenomics Workshop. Plant and Animal Genome XIX Conference . Cadair2011.
Metabolomic analysis reveals a common pattern of metabolic re-programming during invasion of three host plant species by Magnaporthe grisea. Plant Journal 59 (5) pp. 723-737. 10.1111/j.1365-313X.2009.03912.x Cadair2009.
Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'. BMC Bioinformatics 10 (227) 227 10.1186/1471-2105-10-227 Cadair Other2009.
Preprocessing, classification modeling and feature selection using flow injection electrospray mass spectrometry metabolite fingerprint data. Nature Protocols 3 pp. 446-470. 10.1038/nprot.2007.511 Cadair2008.
Detecting a difference - assessing generalisability when modelling metabolome fingerprint data in longer term studies of genetically modified plants. Metabolomics 3 (3) pp. 335-347. 10.1007/s11306-007-0064-4 Cadair2007.
Representation, comparison, and interpretation of metabolome fingerprint data for total composition analysis and quality trait investigation in potato cultivars. Journal of Agricultural and Food Chemistry 55 (9) pp. 3444-3451. 10.1021/jf0701842 Other Cadair2007.
Soil differentiation using fingerprint Fourier transform infrared spectroscopy, chemometrics and genetic algorithm-based feature selection. Soil Biology and Biochemistry 39 (11) pp. 2888-2896. 10.1016/j.soilbio.2007.05.032 Cadair2007.
Predicting interpretability of metabolome models based on behavior, putative identity, and biological relevance of explanatory signals. Proceedings of the National Academy of Sciences of the United States of America 103 (40) pp. 14865-14870. 10.1073/pnas.0605152103 Other Cadair2006.
Alignment of the genomes of brachypodium distachyon and temperate cereals and grasses using bacterial artificial chromosome landing with fluorescence in situ hybridization. Genetics 173 (1) pp. 349-362. 10.1534/genetics.105.049726 Other Cadair2006.
On the interpretation of high throughput MS based metabolomics fingerprints with Random Forest. Second International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006. Proceedings. International Symposium, CompLife. Springer Nature pp. 226-235. 10.1007/11875741_22 Cadair Other2006.
Hierarchical metabolomics demonstrates substantial compositional similarity between genetically-modified and conventional potato crops. Proceedings of the National Academy of Sciences of the United States of America 102 (40) pp. 14458-14462. 10.1073/pnas.0503955102 Cadair2005.
In planta measurements of oxidative bursts elicited by avirulent and virulent bacterial pathogens suggests that H2O2 is insufficient to elicit cell death in tobacco. Plant, Cell and Environment pp. 548-561. 10.1111/j.1365-3040.2005.01301.x Cadair2005.
Comparison of rapid liquid chromatography-electrospray ionization-tandem mass spectrometry methods for determination of glycoalkaloids in transgenic field-grown potatoes. Analytical Biochemistry 336 (2) pp. 178-186. 10.1016/j.ab.2004.10.013 Cadair2005.
Models and meiosis in the ’omics era. In (eds) Recent advances in genetics and breeding of the grasses. Polish Academy of Sciences pp. 97-104. Cadair2005.
Prospects for functional genomics in a new model grass. In (ed) Plant Functional Genomics. Taylor & Francis Cadair2004.
Characterization of a proteinase inhibitor from Brachypodium distachyon suggests the conservation of defence signalling pathways between dicotyledonous plants and grasses. Molecular Plant Pathology 5 (4) pp. 267-280. 10.1111/j.1364-3703.2004.00225.x Cadair2004.
Magnaporthe grisea interactions with the model grass Brachypodium distachyon closely resemble those with rice (Oryza sativa). Molecular Plant Pathology. Wiley pp. 253-265. 10.1111/j.1364-3703.2004.00224.x Cadair2004.
Use of earthworm casts to validate FT-IR spectroscopy as a 'sentinel' technology for high-throughput monitoring of global changes in microbial ecology. Pedobiologia 47 (5-6) 7th International Symposium on Earthworm Ecology. pp. 440-446. 10.1078/0031-4056-00210 Cadair2003.
Building the molecular cytogenetic infrastructure of a new model grass. In (eds) Application of Novel Cytogenetic and Molecular Techniques in Genetics and Breeding of the Grasses. Polish Academy of Sciences pp. 77-84. Cadair2003.
Metabolic Engineering, metabolite profiling and machine learning to investigate the phloem-mobile signal in systemic acquired resistance in tobacco. Cadair2002.