Manipulating plant secondary metabolism to study plant pathogen interactions.
Investigating mechanisms giving rise to induced resistance in plants.
Using 'metabolome' profiling to identify changes, following infection of plants with pathogens.
Gene transfer between plants and soil borne bacteria.
Mur, LAJ, Clarke, A, Kenton, P & Darby, RM
2005, 'Harpin modulates the accumulation of salicylic acid by Arabidopsis cells via apoplastic alkalization
' Journal of Experimental Botany
, pp. 3129-3136. https://doi.org/10.1093/jxb/eri310
Scullion, J, Goodacre, R, Elliott, GN, Huang, W, Worgan, H, Gwynn-Jones, D, Griffith, GW, Darby, RM
, Bailey, MJ, Clegg, CD & Draper, JH
2003, 'Food quality and microbial succession in ageing earthworm casts: standard microbial indices and metabolic fingerprinting
' pp. 5-6. https://doi.org/10.1078/0031-4056-00276
Scullion, J, Elliott, GN, Huang, W, Goodacre, R, Worgan, H, Darby, RM
, Bailey, MJ, Gwynn-Jones, D, Griffith, GW, Winson, MK
, Williams, PA, Clegg, CD & Draper, J
2003, 'Use of earthworm casts to validate FT-IR spectroscopy as a 'sentinel' technology for high-throughput monitoring of global changes in microbial ecology
, vol. 47, no. 5-6, pp. 440-446. https://doi.org/10.1078/0031-4056-00210
Draper, J, Darby, RM, Beckmann, M, Maddison, AL, Mondhe, M, Sheldrick, C, Taylor, J, Goodacre, R & Kell, DB 2002, 'Metabolic Engineering, metabolite profiling and machine learning to investigate the phloem-mobile signal in systemic acquired resistance in tobacco'.
Kell, DB, Draper, JH & Darby, RMMore publications on the Research Portal
2001, 'Genomic computing. Explanatory analysis of plant expression profiling data using machine learning.
' Plant Physiology
, pp. 943-951. https://doi.org/10.1104/pp.126.3.943