System-wide molecular evidence for phenotypic buffering in Arabidopsis

Jingyuan Fu, Joost J. B. Keurentjes, Harro Bouwmeester, Twan America, Francel W. A. Verstappen, Jane L. Ward, Michael H. Beale, Ric C. H. De Vos, Martijn Dijkstra, Richard A. Scheltema, Frank Johannes, Maarten Koornneef, Dick Vreugdenhil, Rainer Breitling, Ritsert C. Jansen

Research output: Contribution to journalArticleAcademicpeer-review

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. © 2009 Nature America, Inc. All rights reserved.
Original languageEnglish
Pages (from-to)166-167
Number of pages2
JournalNature Genetics
Volume41
Issue number2
DOIs
Publication statusPublished - 1 Feb 2009
Externally publishedYes

Keywords

  • messenger RNA
  • protein
  • Arabidopsis
  • article
  • gas chromatography
  • gel electrophoresis
  • gene expression profiling
  • gene mapping
  • genetic transcription
  • genetic variability
  • liquid chromatography
  • metabolite
  • microarray analysis
  • nonhuman
  • phenotype
  • polyacrylamide gel electrophoresis
  • priority journal
  • proton nuclear magnetic resonance
  • quadrupole mass spectrometry
  • quantitative trait locus
  • single nucleotide polymorphism
  • time of flight mass spectrometry

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