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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.zeige mehrzeige weniger

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Metadaten
Verfasserangaben: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
Titel des übergeordneten Werks (Englisch):The plant journal
Verlag:Wiley-Blackwell
Verlagsort:Malden
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2011
Erscheinungsjahr:2011
Datum der Freischaltung:26.03.2017
Freies Schlagwort / Tag:Zea mays; heterosis; metabolomics
Band:68
Ausgabe:2
Seitenanzahl:11
Erste Seite:326
Letzte Seite:336
Fördernde Institution:Deutsche Forschungsgemeinschaft (DFG) [SPP 1149]
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
Peer Review:Referiert
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