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  Improved Heterosis Prediction by Combining Information on DNA- and Metabolic Markers

Gaertner, T., Steinfath, M., Andorf, S., Lisec, J., Meyer, R. C., Altmann, T., et al. (2009). Improved Heterosis Prediction by Combining Information on DNA- and Metabolic Markers. PLoS One, 4(4), e5220. doi:10.1371/Journal.Pone.0005220.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-25E2-B Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-25E3-9
Genre: Journal Article

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 Creators:
Gaertner, T.1, Author
Steinfath, M.2, Author              
Andorf, S.1, Author
Lisec, J.3, Author              
Meyer, R. C.4, Author              
Altmann, T.4, Author              
Willmitzer, L.3, Author              
Selbig, J.2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753315              
3Small Molecules, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753340              
4Developmental Physiology and Genomics, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753313              

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Free keywords: Arabidopsis/genetics *Biological Markers *Breeding *Crosses, Genetic Dna *Genes, Plant *Genetic Markers Genome, Plant Genotype Hybrid Vigor/*genetics Phenotype Quantitative Trait Loci
 Abstract: Background: Hybrids represent a cornerstone in the success story of breeding programs. The fundamental principle underlying this success is the phenomenon of hybrid vigour, or heterosis. It describes an advantage of the offspring as compared to the two parental lines with respect to parameters such as growth and resistance against abiotic or biotic stress. Dominance, overdominance or epistasis based models are commonly used explanations. Conclusion/Significance: The heterosis level is clearly a function of the combination of the parents used for offspring production. This results in a major challenge for plant breeders, as usually several thousand combinations of parents have to be tested for identifying the best combinations. Thus, any approach to reliably predict heterosis levels based on properties of the parental lines would be highly beneficial for plant breeding. Methodology/Principal Findings: Recently, genetic data have been used to predict heterosis. Here we show that a combination of parental genetic and metabolic markers, identified via feature selection and minimum-description-length based regression methods, significantly improves the prediction of biomass heterosis in resulting offspring. These findings will help furthering our understanding of the molecular basis of heterosis, revealing, for instance, the presence of nonlinear genotype-phenotype relationships. In addition, we describe a possible approach for accelerated selection in plant breeding.

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Language(s): eng - English
 Dates: 2009-04-162009
 Publication Status: Published in print
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 Identifiers: ISI: ISI:000265510600004
DOI: 10.1371/Journal.Pone.0005220
ISSN: 1932-6203 (Electronic) 1932-6203 (Linking)
URI: ://000265510600004 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2666157/pdf/pone.0005220.pdf?tool=pmcentrez
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Title: PLoS One
Source Genre: Journal
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Pages: - Volume / Issue: 4 (4) Sequence Number: - Start / End Page: e5220 Identifier: -