Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 411503
Title Characterization of the natural variation in Arabidopsis thaliana metabolome by the analysis of metabolic distance
Author(s) Houshyani Hassanzadeh, B.; Kabouw, P.; Muth, D.; Vos, R.C.H. de; Bino, R.J.; Bouwmeester, H.J.
Source Metabolomics 8 (2012)suppl. 1. - ISSN 1573-3882 - p. 131 - 145.
DOI http://dx.doi.org/10.1007/s11306-011-0375-3
Department(s) Laboratory of Plant Physiology
Laboratory of Nematology
PRI BIOS Applied Metabolic Systems
AFSG Staff Departments (FBR)
EPS-2
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) genomic diversity - mass-spectrometry - functional genomics - mildew resistance - plants - tomato - biosynthesis - pathogens - volatiles - defense
Abstract Metabolite fingerprinting is widely used to unravel the chemical characteristics of biological samples. Multivariate data analysis and other statistical tools are subsequently used to analyze and visualize the plasticity of the metabolome and/or the relationship between those samples. However, there are limitations to these approaches for example because of the multi-dimensionality of the data that makes interpretation of the data obtained from untargeted analysis almost impossible for an average human being. These limitations make the biological information that is of prime importance in untargeted studies be partially exploited. Even in the case of full exploitation, current methods for relationship elucidation focus mainly on between groups variation and differences. Therefore, a measure that is capable of exploiting both between- and within-group biological variation would be of great value. Here, we examined the natural variation in the metabolome of nine Arabidopsis thaliana accessions grown under various environmental conditions and established a measure for the metabolic distance between accessions and across environments. This data analysis approach shows that there is just a minor correlation between genetic and metabolic diversity of the nine accessions. On the other hand, it delivers so far in Arabidopsis unexplored chemical information and is shown to be biologically relevant for resistance studies.
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