Improved heterosis prediction by combining information on DNA- and metabolic markers

  • 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,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.show moreshow less

Download full text files

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Tanja Gärtner, Matthias SteinfathORCiD, Sandra AndorfORCiD, Jan LisecORCiD, Rhonda C. Meyer, Thomas AltmannORCiD, Lothar WillmitzerORCiDGND, Joachim SelbigGND
URN:urn:nbn:de:kobv:517-opus-45132
Publication series (Volume number):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (paper 142)
Publication type:Postprint
Language:English
Publication year:2009
Publishing institution:Universität Potsdam
Release date:2010/07/19
Source:PLoS one 4 (2009), 4, Art. e5220, DOI: 10.1371/journal.pone.0005220
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
DDC classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
License (English):License LogoCreative Commons - Namensnennung 3.0 Unported
External remark:
The article was originally published by PUBLIC LIBRARY SCIENCE:
PLoS one. - 4 (2009), 4, Art. e5220 (12 S.)
ISSN 1932-6203
DOI 10.1371/journal.pone.0005220
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.