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Robustness under Functional Constraint: The Genetic Network for Temporal Expression in Drosophila Neurogenesis

Authors: Akihiko Nakajima; Takako Isshiki; Kunihiko Kaneko; Shuji Ishihara;

Robustness under Functional Constraint: The Genetic Network for Temporal Expression in Drosophila Neurogenesis

Abstract

Precise temporal coordination of gene expression is crucial for many developmental processes. One central question in developmental biology is how such coordinated expression patterns are robustly controlled. During embryonic development of the Drosophila central nervous system, neural stem cells called neuroblasts sequentially express a group of genes in a definite order, which generates the diversity of cell types. By producing all possible regulatory networks of these genes and examining their expression dynamics numerically, we identify requisite regulations and predict an unknown factor to reproduce known expression profiles caused by loss-of-function or overexpression of the genes in vivo, as well as in the wild type. We then evaluate the stability of the actual Drosophila network for sequential expression. This network shows the highest robustness against parameter variations and gene expression fluctuations among the possible networks that reproduce the expression profiles. We propose a regulatory module composed of three kinds of regulations which is responsible for precise sequential expression. The present study suggests an underlying principle on how biological systems are robustly designed under functional constraint.

48 pages, 9 figures

Keywords

Neurons, Models, Statistical, Time Factors, QH301-705.5, Gene Expression Profiling, Neurogenesis, Stem Cells, Systems Biology, Molecular Networks (q-bio.MN), Models, Biological, Gene Expression Regulation, FOS: Biological sciences, Animals, Regression Analysis, Quantitative Biology - Molecular Networks, Drosophila, Gene Regulatory Networks, Biology (General), Research Article, Body Patterning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Average
Average
Top 10%
Green
gold