Abstract
We profiled 162 lines of Arabidopsis for variation in transcript, protein and metabolite abundance using mRNA microarrays, two-dimensional polyacrylamide gel electrophoresis, gas chromatography time-of-flight mass spectrometry, liquid chromatography quadrupole time-of-flight mass spectrometry, and proton nuclear magnetic resonance. We added all publicly available phenotypic data from the same lines and mapped quantitative trait loci (QTL) for 40,580 molecular and 139 phenotypic traits. We found six QTL hot spots with major, system-wide effects, suggesting there are six breakpoints in a system otherwise buffered against many of the 500,000 SNPs.
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Acknowledgements
This research was supported by the Netherlands Organization for Scientific Research (NWO), the Netherlands Genomics Initiative (NGI) and the UK Biotechnology and Biological Sciences Research Council (BBSRC).
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Contributions
J.F. analyzed the system-wide data, J.J.B.K. managed the system-wide data production, H.B. and F.W.A.V. produced the GC-MS data, T.A. produced the 2D-PAGE data, J.L.W. and M.H.B. produced the NMR data, R.C.H.d.V. produced the LC-MS data, M.D. and R.A.S. helped analyze the GC- and LC-MS data, F.J. helped analyze the NMR data, M.K. coordinated the QTL-Express project and provided the biological materials, D.V. contributed to the biological interpretation, R.B. contributed to the system-wide interpretation and writing of the manuscript, R.C.J. conceived the project and coordinated the analysis and writing of the manuscript.
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Supplementary Table 1, Supplementary Figures 1–5 and Supplementary Methods (PDF 1433 kb)
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Fu, J., Keurentjes, J., Bouwmeester, H. et al. System-wide molecular evidence for phenotypic buffering in Arabidopsis. Nat Genet 41, 166–167 (2009). https://doi.org/10.1038/ng.308
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DOI: https://doi.org/10.1038/ng.308
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