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Corn hybrids display lower metabolite variability and complex metabolite inheritance patterns

  • We conducted a comparative analysis of the root metabolome of six parental maize inbred lines and their 14 corresponding hybrids showing fresh weight heterosis. We demonstrated that the metabolic profiles not only exhibit distinct features for each hybrid line compared with its parental lines, but also separate reciprocal hybrids. Reconstructed metabolic networks, based on robust correlations between metabolic profiles, display a higher network density in most hybrids as compared with the corresponding inbred lines. With respect to metabolite level inheritance, additive, dominant and overdominant patterns are observed with no specific overrepresentation. Despite the observed complexity of the inheritance pattern, for the majority of metabolites the variance observed in all 14 hybrids is lower compared with inbred lines. Deviations of metabolite levels from the average levels of the hybrids correlate negatively with biomass, which could be applied for developing predictors of hybrid performance based on characteristics of metaboliteWe conducted a comparative analysis of the root metabolome of six parental maize inbred lines and their 14 corresponding hybrids showing fresh weight heterosis. We demonstrated that the metabolic profiles not only exhibit distinct features for each hybrid line compared with its parental lines, but also separate reciprocal hybrids. Reconstructed metabolic networks, based on robust correlations between metabolic profiles, display a higher network density in most hybrids as compared with the corresponding inbred lines. With respect to metabolite level inheritance, additive, dominant and overdominant patterns are observed with no specific overrepresentation. Despite the observed complexity of the inheritance pattern, for the majority of metabolites the variance observed in all 14 hybrids is lower compared with inbred lines. Deviations of metabolite levels from the average levels of the hybrids correlate negatively with biomass, which could be applied for developing predictors of hybrid performance based on characteristics of metabolite patterns.show moreshow less

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Author details:Jan LisecORCiD, Lilla Römisch-Margl, Zoran NikoloskiORCiDGND, Hans-Peter Piepho, Patrick GiavaliscoORCiD, Joachim SelbigGND, Alfons Gierl, Lothar WillmitzerORCiDGND
DOI:https://doi.org/10.1111/j.1365-313X.2011.04689.x
ISSN:0960-7412
Title of parent work (English):The plant journal
Publisher:Wiley-Blackwell
Place of publishing:Malden
Publication type:Article
Language:English
Year of first publication:2011
Publication year:2011
Release date:2017/03/26
Tag:Zea mays; heterosis; metabolomics
Volume:68
Issue:2
Number of pages:11
First page:326
Last Page:336
Funding institution:Deutsche Forschungsgemeinschaft (DFG) [SPP 1149]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
Peer review:Referiert
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