Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations

Jan Lisec, Rhonda C. Meyer, Matthias Steinfath, Henning Redestig, Martina Becher, Hanna Witucka-Wall, Oliver Fiehn, Ottó Törjék, Joachim Selbig, Thomas Altmann, Lothar Willmitzer

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167 Citations (Scopus)

Abstract

Plant growth and development are tightly linked to primary metabolism and are subject to natural variation. In order to obtain an insight into the genetic factors controlling biomass and primary metabolism and to determine their relationships, two Arabidopsis thaliana populations [429 recombinant inbred lines (RIL) and 97 introgression lines (IL), derived from accessions Col-0 and C24] were analyzed with respect to biomass and metabolic composition using a mass spectrometry-based metabolic profiling approach. Six and 157 quantitative trait loci (QTL) were identified for biomass and metabolic content, respectively. Two biomass QTL coincide with significantly more metabolic QTL (mQTL) than statistically expected, supporting the notion that the metabolic profile and biomass accumulation of a plant are linked. On the same basis, three out the six biomass QTL can be simulated purely on the basis of metabolic composition. QTL based on analysis of the introgression lines were in substantial agreement with the RIL-based results: five of six biomass QTL and 55% of the mQTL found in the RIL population were also found in the IL population at a significance level of P ≤ 0.05, with >80% agreement on the allele effects. Some of the differences could be attributed to epistatic interactions. Depending on the search conditions, metabolic pathway-derived candidate genes were found for 24-67% of all tested mQTL in the database AraCyc 3.5. This dataset thus provides a comprehensive basis for the detection of functionally relevant variation in known genes with metabolic function and for identification of genes with hitherto unknown roles in the control of metabolism.

Original languageEnglish (US)
Pages (from-to)960-972
Number of pages13
JournalPlant Journal
Volume53
Issue number6
DOIs
StatePublished - Mar 2008

Fingerprint

Quantitative Trait Loci
Arabidopsis
Biomass
introgression
inbred lines
quantitative trait loci
Arabidopsis thaliana
biomass
Population
metabolism
Genes
Plant Development
Metabolome
genes
Metabolic Networks and Pathways
Growth and Development
metabolomics
Mass Spectrometry
plant development
biochemical pathways

Keywords

  • Arabidopsis
  • GC-MS
  • Introgression line (IL)
  • Metabolic quantitative trait loci (mQTL)
  • Metabolomics
  • Recombinant inbred line (RIL)

ASJC Scopus subject areas

  • Plant Science

Cite this

Lisec, J., Meyer, R. C., Steinfath, M., Redestig, H., Becher, M., Witucka-Wall, H., ... Willmitzer, L. (2008). Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations. Plant Journal, 53(6), 960-972. https://doi.org/10.1111/j.1365-313X.2007.03383.x

Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations. / Lisec, Jan; Meyer, Rhonda C.; Steinfath, Matthias; Redestig, Henning; Becher, Martina; Witucka-Wall, Hanna; Fiehn, Oliver; Törjék, Ottó; Selbig, Joachim; Altmann, Thomas; Willmitzer, Lothar.

In: Plant Journal, Vol. 53, No. 6, 03.2008, p. 960-972.

Research output: Contribution to journalArticle

Lisec, J, Meyer, RC, Steinfath, M, Redestig, H, Becher, M, Witucka-Wall, H, Fiehn, O, Törjék, O, Selbig, J, Altmann, T & Willmitzer, L 2008, 'Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations', Plant Journal, vol. 53, no. 6, pp. 960-972. https://doi.org/10.1111/j.1365-313X.2007.03383.x
Lisec, Jan ; Meyer, Rhonda C. ; Steinfath, Matthias ; Redestig, Henning ; Becher, Martina ; Witucka-Wall, Hanna ; Fiehn, Oliver ; Törjék, Ottó ; Selbig, Joachim ; Altmann, Thomas ; Willmitzer, Lothar. / Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations. In: Plant Journal. 2008 ; Vol. 53, No. 6. pp. 960-972.
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abstract = "Plant growth and development are tightly linked to primary metabolism and are subject to natural variation. In order to obtain an insight into the genetic factors controlling biomass and primary metabolism and to determine their relationships, two Arabidopsis thaliana populations [429 recombinant inbred lines (RIL) and 97 introgression lines (IL), derived from accessions Col-0 and C24] were analyzed with respect to biomass and metabolic composition using a mass spectrometry-based metabolic profiling approach. Six and 157 quantitative trait loci (QTL) were identified for biomass and metabolic content, respectively. Two biomass QTL coincide with significantly more metabolic QTL (mQTL) than statistically expected, supporting the notion that the metabolic profile and biomass accumulation of a plant are linked. On the same basis, three out the six biomass QTL can be simulated purely on the basis of metabolic composition. QTL based on analysis of the introgression lines were in substantial agreement with the RIL-based results: five of six biomass QTL and 55{\%} of the mQTL found in the RIL population were also found in the IL population at a significance level of P ≤ 0.05, with >80{\%} agreement on the allele effects. Some of the differences could be attributed to epistatic interactions. Depending on the search conditions, metabolic pathway-derived candidate genes were found for 24-67{\%} of all tested mQTL in the database AraCyc 3.5. This dataset thus provides a comprehensive basis for the detection of functionally relevant variation in known genes with metabolic function and for identification of genes with hitherto unknown roles in the control of metabolism.",
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