TY  - JOUR
A1  - Andorf, Sandra
A1  - Meyer, Rhonda C.
A1  - Selbig, Joachim
A1  - Altmann, Thomas
A1  - Repsilber, Dirk
T1  - Integration of a systems biological network analysis and QTL results for biomass heterosis in arabidopsis thaliana
JF  - PLoS one
N2  - To contribute to a further insight into heterosis we applied an integrative analysis to a systems biological network approach and a quantitative genetics analysis towards biomass heterosis in early Arabidopsis thaliana development. The study was performed on the parental accessions C24 and Col-0 and the reciprocal crosses. In an over-representation analysis it was tested if the overlap between the resulting gene lists of the two approaches is significantly larger than expected by chance. Top ranked genes in the results list of the systems biological analysis were significantly over-represented in the heterotic QTL candidate regions for either hybrid as well as regarding mid-parent and best-parent heterosis. This suggests that not only a few but rather several genes that influence biomass heterosis are located within each heterotic QTL region. Furthermore, the overlapping resulting genes of the two integrated approaches were particularly enriched in biomass related pathways. A chromosome-wise over-representation analysis gave rise to the hypothesis that chromosomes number 2 and 4 probably carry a majority of the genes involved in biomass heterosis in the early development of Arabidopsis thaliana.
Y1  - 2012
U6  - https://doi.org/10.1371/journal.pone.0049951
SN  - 1932-6203
VL  - 7
IS  - 11
PB  - PLoS
CY  - San Fransisco
ER  - 
TY  - GEN
A1  - Andorf, Sandra
A1  - Gärtner, Tanja
A1  - Steinfath, Matthias
A1  - Witucka-Wall, Hanna
A1  - Altmann, Thomas
A1  - Repsilber, Dirk
T1  - Towards systems biology of heterosis
BT  - a hypothesis about molecular network structure applied for the Arabidopsis metabolome
T2  - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - 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.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 949 
KW  - partial correlation
KW  - biological network
KW  - metabolite profile
KW  - molecular network
KW  - significant edge
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-436274
SN  - 1866-8372
IS  - 949
ER  -