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PMID: 15342511 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Dynamical analysis of regulatory interactions in the gap gene system of Drosophila melanogaster.

Genetics ·Vol. 167 ·No. 4 ·2004-08-00 ·Pages 1721-37

Jaeger J, Blagov M, Kosman D, Kozlov KN, Manu, Myasnikova E, Surkova S, Vanario-Alonso CE, Samsonova M, Sharp DH, Reinitz J

Abstract

Genetic studies have revealed that segment determination in Drosophila melanogaster is based on hierarchical regulatory interactions among maternal coordinate and zygotic segmentation genes. The gap gene system constitutes the most upstream zygotic layer of this regulatory hierarchy, responsible for the initial interpretation of positional information encoded by maternal gradients. We present a detailed analysis of regulatory interactions involved in gap gene regulation based on gap gene circuits, which are mathematical gene network models used to infer regulatory interactions from quantitative gene expression data. Our models reproduce gap gene expression at high accuracy and temporal resolution. Regulatory interactions found in gap gene circuits provide consistent and sufficient mechanisms for gap gene expression, which largely agree with mechanisms previously inferred from qualitative studies of mutant gene expression patterns. Our models predict activation of Kr by Cad and clarify several other regulatory interactions. Our analysis suggests a central role for repressive feedback loops between complementary gap genes. We observe that repressive interactions among overlapping gap genes show anteroposterior asymmetry with posterior dominance. Finally, our models suggest a correlation between timing of gap domain boundary formation and regulatory contributions from the terminal maternal system.

MeSH Terms
Animals Blastoderm/physiology Drosophila melanogaster/genetics,growth & development Female GTPase-Activating Proteins/genetics Gene Expression Regulation/physiology Models, Genetic Zygote/physiology
Chemicals
GTPase-Activating Proteins
Authors & Affiliations
11 authors, click to expand affiliations / ORCID
Jaeger Johannes
Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794-3600, USA.
Blagov Maxim
Kosman David
Kozlov Konstantin N
Manu
Myasnikova Ekaterina
Surkova Svetlana
Vanario-Alonso Carlos E
Samsonova Maria
Sharp David H
Reinitz John
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Article Info
Journal
Genetics
Abbr.
Genetics
ISSN
0016-6731
Published
2004-08-00
Pages
1721-37
Language
English
Region
United States
NLM ID
0374636
PMCID
PMC1471003
Subset
IM
Grants
NCRR NIH HHS · R01 RR007801 · United States
NCRR NIH HHS · RR07801 · United States
FIC NIH HHS · TW01147 · United States
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