Molecular identification and characterisation of loci causing heterosis in Arabidopsis thaliana
Zusammenfassung der Projektergebnisse
The decline of available fossil fuel reserves has triggered world-wide efforts to develop alternative energy sources based on plant biomass. Detailed knowledge of the relations of metabolism and biomass accumulation can be expected to yield powerful novel tools to accelerate and enhance energy plant breeding programs. We used metabolic profiling in the model Arabidopsis to study the relation between biomass and metabolic composition using a recombinant inbred line (RIL) population. A highly significant canonical correlation (0.73) was observed revealing a close link between biomass and a specific combination of metabolites. Dividing the entire data set into training and test sets resulted in a median correlation between predicted and true biomass of 0.58. The demonstrated high predictive power of metabolic composition for biomass features this composite measure as an excellent biomarker and opens new opportunities to enhance plant breeding specifically in the context of renewable resources.
Projektbezogene Publikationen (Auswahl)
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(2004) Heterosis of biomass production in Arabidopsis: Establishment during early development. Plant Physiol 134:1813-1823
Meyer RC, Törjék O, Becher M, Altmann T
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(2006) Segregation distortion in Arabidopsis C24/Col-0 and Col-0/C24 recombinant inbred line populations is due to reduced fertility caused by epistatic interaction of two loci. Theor Appl Genet 113:1551-1561
Törjek O, Witucka-Wall H, Meyer RC, von Korff M, Kusterer B, Rautengarten C, Altmann T
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(2007) Analysis of a triple testcross design with recombinant inbred lines reveals a significant role of epistasis in heterosis for biomass-related traits in Arabidopsis. Genetics 175:2009-2017
Kusterer B, Muminovic J, Utz HF, Piepho HP, Barth S, Meyer RC, Altmann T, Melchinger AE
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(2007) Genetic basis of heterosis for growth-related traits in Arabidopsis investigated by testcross progenies of near-isogenic lines reveals a significant role of epistasis. Genetics 177:1827–1837
Melchinger AE, Piepho H-P, Utz HF, Muminovic J, Wegenast T, Törjek O, Altmann T, Kusterer B
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(2007) Heterosis for biomass-related traits in Arabidopsis investigated by quantitative trait loci analysis of the triple testcross design with recombinant inbred lines. Genetics 177:1839-1850
Kusterer B, Piepho HP, Utz HF, Schön CC, Muminovic J, Meyer RC, Altmann T, Melchinger AE
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(2007) The metabolic signature related to high plant growth rate in Arabidopsis thaliana. Proc Natl Acad Sci USA 104:4759-4764
Meyer RC, Steinfath M, Lisec J, Becher M, Witucka-Wall H, Törjek O, Fiehn O, Eckardt Ä, Willmitzer L, Selbig J, Altmann T
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(2008) Construction and analysis of 2 reciprocal Arabidopsis introgression line populations. J Heredity 99:396-406
Törjek O, Meyer RC, Zehnsdorf M, Teltow M, Strompen G, Witucka-Wall H, Blacha A, Altmann T
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(2008) Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations. The Plant Journal 53:960-972
Lisec J, Meyer RC, Steinfath M, Redestig H, Becher M, Witucka-Wall H, Fiehn O, Törjek O, Selbig J, Altmann T, Willmitzer L
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(2009) Identification of heterotic metabolite QTL in Arabidopsis thaliana RIL and IL populations. The Plant Journal 59:777-788
Lisec J, Steinfath M, Meyer RC, Selbig J, Melchinger AE, Willmitzer L, Altmann T
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(2009) Improved heterosis prediction by combining information on DNA- and metabolic markers. PLoS ONE 4:e5220
Gärtner T, Steinfath M, Andorf S, Lisec J, Meyer RC, Altmann T, Willmitzer L, Selbig J
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(2009) Unravelling epistasis with triple testcross progenies of near isogenic lines. Genetics 181:247-257
Reif JC, Kusterer B, Piepho HP, Meyer RC, Altmann T, Schön CC, Melchinger AE
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(2010) QTL analysis of early stage heterosis for biomass in Arabidopsis. Theor Appl Genet 120:227–237
Meyer RC, Kusterer B, Lisec J, Steinfath M, Becher M, Scharr H, , Melchinger AE, Selbig J, Schurr U, Willmitzer L, Altmann T
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(2010) Towards systems biology of heterosis: A hypothesis about molecular network structure applied for the Arabidopsis metabolome. EURASIP J Bioinform Syst Biol Article ID 147157
Andorf S, Gärtner T, Steinfath M, Witucka-Wall H, Altmann T, Repsilber D
