Characterization of the natural variation in Arabidopsis thaliana metabolome by the analysis of metabolic distance
Metabolome
DOI:
10.1007/s11306-011-0375-3
Publication Date:
2011-10-18T12:16:48Z
AUTHORS (6)
ABSTRACT
Metabolite fingerprinting is widely used to unravel the chemical characteristics of biological samples. Multivariate data analysis and other statistical tools are subsequently analyze visualize plasticity metabolome and/or relationship between those However, there limitations these approaches for example because multi-dimensionality that makes interpretation obtained from untargeted almost impossible an average human being. These make information prime importance in studies be partially exploited. Even case full exploitation, current methods elucidation focus mainly on groups variation differences. Therefore, a measure capable exploiting both between- within-group would great value. Here, we examined natural nine Arabidopsis thaliana accessions grown under various environmental conditions established metabolic distance across environments. This approach shows just minor correlation genetic diversity accessions. On hand, it delivers so far unexplored shown biologically relevant resistance studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version this article (doi:10.1007/s11306-011-0375-3) contains supplementary material, which available authorized users.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (58)
CITATIONS (38)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....