Autoregulation of nodulation (AON) is a long-distance, shoot-root signalling system for regulating nodule formation in legume plants. This visualisation, taken from a computational complementation experiment, demonstrates the possible allocation of an unidentified signal for inhibition of nodulation in soybean root. In this approach, an empirical model of a loss-of-function (non-AON) mutant is complemented with hypothetical AON mechanisms. If the resulting nodulation phenotype matches the wild-type plant, the hypotheses would be supported as reasonable. The first application of computational complementation predicted that soybean cotyledons participate in AON, which was subsequently confirmed by a real-plant experiment (see Han et al., doi:10.1371/journal.pcbi.1000685).
Image Credit: Liqi Han (University of Queensland).
Editorials
Ten Simple Rules for Organizing a Virtual Conference—Anywhere
PLOS Computational Biology: published February 26, 2010 | https://doi.org/10.1371/journal.pcbi.1000650
A Review of 2009 for PLoS Computational Biology
PLOS Computational Biology: published February 26, 2010 | https://doi.org/10.1371/journal.pcbi.1000687
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How to Understand the Cell by Breaking It: Network Analysis of Gene Perturbation Screens
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PLOS Computational Biology: published February 26, 2010 | https://doi.org/10.1371/journal.pcbi.1000673
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PLOS Computational Biology: published February 26, 2010 | https://doi.org/10.1371/journal.pcbi.1000667
Research Articles
Molecular Predictors of 3D Morphogenesis by Breast Cancer Cell Lines in 3D Culture
PLOS Computational Biology: published February 26, 2010 | https://doi.org/10.1371/journal.pcbi.1000684
Computational Complementation: A Modelling Approach to Study Signalling Mechanisms during Legume Autoregulation of Nodulation
PLOS Computational Biology: published February 26, 2010 | https://doi.org/10.1371/journal.pcbi.1000685
Spatial Simulations of Myxobacterial Development
PLOS Computational Biology: published February 26, 2010 | https://doi.org/10.1371/journal.pcbi.1000686
Stochastic Model of Integrin-Mediated Signaling and Adhesion Dynamics at the Leading Edges of Migrating Cells
PLOS Computational Biology: published February 26, 2010 | https://doi.org/10.1371/journal.pcbi.1000688
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PLOS Computational Biology: published February 26, 2010 | https://doi.org/10.1371/journal.pcbi.1000689
Decoupling Environment-Dependent and Independent Genetic Robustness across Bacterial Species
PLOS Computational Biology: published February 26, 2010 | https://doi.org/10.1371/journal.pcbi.1000690
Temporal Sensitivity of Protein Kinase A Activation in Late-Phase Long Term Potentiation
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PLOS Computational Biology: published February 19, 2010 | https://doi.org/10.1371/journal.pcbi.1000681
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PLOS Computational Biology: published February 19, 2010 | https://doi.org/10.1371/journal.pcbi.1000682
A Bayesian Approach to Quantifying the Effects of Mass Poultry Vaccination upon the Spatial and Temporal Dynamics of H5N1 in Northern Vietnam
PLOS Computational Biology: published February 19, 2010 | https://doi.org/10.1371/journal.pcbi.1000683
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