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Towards systems biology of heterosis: a hypothesis about molecular network structure applied for the Arabidopsis metabolome
Bioinformatics and Biomathematics Group, Genetics and Biometry Unit, Research Institute for the Biology of Farm Animals (FBN), Dummersdorf, Germany.
Institute for Biochemistry and Biology, University of Potsdam, Potsdam-Golm, Germany.
Institute for Biochemistry and Biology, University of Potsdam, Potsdam-Golm, Germany.
Institute for Genetics, University of Potsdam, Potsdam-Golm, Germany.
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2009 (Engelska)Ingår i: EURASIP Journal on Bioinformatics and Systems Biology, ISSN 1687-4145, E-ISSN 1687-4153, artikel-id 147157Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

We propose a network structure-based model for heterosis, and investigate it relying on metabolite profiles from Arabidopsis. A simple feed-forward two-layer network model (the Steinbuch matrix) is used in our conceptual approach. It allows for directly relating structural network properties with biological function. Interpreting heterosis as increased adaptability, our model predicts that the biological networks involved show increasing connectivity of regulatory interactions. A detailed analysis of metabolite profile data reveals that the increasing-connectivity prediction is true for graphical Gaussian models in our data from early development. This mirrors properties of observed heterotic Arabidopsis phenotypes. Furthermore, the model predicts a limit for increasing hybrid vigor with increasing heterozygosity--a known phenomenon in the literature.

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Germany: Springer, 2009. artikel-id 147157
Nationell ämneskategori
Bioinformatik och systembiologi
Identifikatorer
URN: urn:nbn:se:oru:diva-40607PubMedID: 18946548Scopus ID: 2-s2.0-59849095982OAI: oai:DiVA.org:oru-40607DiVA, id: diva2:777903
Tillgänglig från: 2015-01-09 Skapad: 2015-01-09 Senast uppdaterad: 2019-09-17Bibliografiskt granskad

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PubMedScopusTowards Systems Biology of Heterosis: A Hypothesis about Molecular Network Structure Applied for the Arabidopsis Metabolome

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