Dickinson, E and Rusilowicz, MJ and Dickinson, M and Charlton, AJ and Bechtold, U and Mullineaux, PM and Wilson, J (2018) Integrating transcriptomic techniques and k-means clustering in metabolomics to identify markers of abiotic and biotic stress in Medicago truncatula. Metabolomics, 14 (10). 126-. DOI https://doi.org/10.1007/s11306-018-1424-y
Dickinson, E and Rusilowicz, MJ and Dickinson, M and Charlton, AJ and Bechtold, U and Mullineaux, PM and Wilson, J (2018) Integrating transcriptomic techniques and k-means clustering in metabolomics to identify markers of abiotic and biotic stress in Medicago truncatula. Metabolomics, 14 (10). 126-. DOI https://doi.org/10.1007/s11306-018-1424-y
Dickinson, E and Rusilowicz, MJ and Dickinson, M and Charlton, AJ and Bechtold, U and Mullineaux, PM and Wilson, J (2018) Integrating transcriptomic techniques and k-means clustering in metabolomics to identify markers of abiotic and biotic stress in Medicago truncatula. Metabolomics, 14 (10). 126-. DOI https://doi.org/10.1007/s11306-018-1424-y
Abstract
Nitrogen-fixing legumes are invaluable crops, but are sensitive to physical and biological stresses. Whilst drought and infection from the soil-borne pathogen Fusarium oxysporum have been studied individually, their combined effects have not been widely investigated.
Item Type: | Article |
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Uncontrolled Keywords: | Metabolomics; Medicago truncatula; Drought; Biotic stress; Clustering |
Subjects: | Q Science > QH Natural history > QH301 Biology |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Life Sciences, School of Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 27 Sep 2018 08:53 |
Last Modified: | 30 Oct 2024 20:30 |
URI: | http://repository.essex.ac.uk/id/eprint/23116 |
Available files
Filename: Dickinson2018_Article_IntegratingTranscriptomicTechn.pdf
Licence: Creative Commons: Attribution 3.0