Published August 23, 2012 | Version v1
Journal article Open

Modeling of Gap Gene Expression in Drosophila Kruppel Mutants

  • 1. St. Petersburg State Polytechnical University
  • 2. University of Chicago

Description

The segmentation gene network in Drosophila embryo solves the fundamental problem of embryonic patterning: how to establish a periodic pattern of gene expression, which determines both the positions and the identities of body segments. The gap gene network constitutes the first zygotic regulatory tier in this process. Here we have applied the systems-level approach to investigate the regulatory effect of gap gene Kruppel (Kr) on segmentation gene expression. We acquired a large dataset on the expression of gap genes in Kr null mutants and demonstrated that the expression levels of these genes are significantly reduced in the second half of cycle 14A. To explain this novel biological result we applied the gene circuit method which extracts regulatory information from spatial gene expression data. Previous attempts to use this formalism to correctly and quantitatively reproduce gap gene expression in mutants for a trunk gap gene failed, therefore here we constructed a revised model and showed that it correctly reproduces the expression patterns of gap genes in Kr null mutants. We found that the remarkable alteration of gap gene expression patterns in Kr mutants can be explained by the dynamic decrease of activating effect of Cad on a target gene and exclusion of Kr gene from the complex network of gap gene interactions, that makes it possible for other interactions, in particular, between hb and gt, to come into effect. The successful modeling of the quantitative aspects of gap gene expression in mutant for the trunk gap gene Kr is a significant achievement of this work. This result also clearly indicates that the oversimplified representation of transcriptional regulation in the previous models is one of the reasons for unsuccessful attempts of mutant simulations.

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Additional details

Identifiers

DOI
10.1371/journal.pcbi.1002635
Other
oai:uchicago.tind.io:10278

Funding

National Institutes of Health
RR07801
Civilian Research & Development Foundation
Grant Assistant Program
Russian Ministry of Education and Science
14.740.11.0166
Russian Ministry of Education and Science
11.519.11.6041
Russian Foundation for Basic Research
09-04-01590-a
Russian Foundation for Basic Research
10-01-00627-a
Russian Foundation for Basic Research
11-04-01162-a
Russian Foundation for Basic Research
11-01-00573

UChicago Information

Division(s)
Biological Sciences Division, Physical Sciences Division
Department(s)
Ecology and Evolution, Molecular Genetics and Cell Biology, Statistics