Dinâmica reguladora de lacuna de genes evolui ao longo de uma rede genotípica

terça-feira, janeiro 26, 2016

Gap gene regulatory dynamics evolve along a genotype network

Anton Crombach1,2,*,†, Karl R. Wotton1,2,*, Eva Jiménez-Guri1,2 and Johannes Jaeger1,2,†

- Author Affiliations

1. EMBL/CRG Research Unit in Systems Biology, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003 Barcelona, Spain

2. Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain

↵† Corresponding authors: Anton Crombach: anton.crombach@crg.eu, Johannes Jaeger: yogi.jaeger@crg.eu, EMBL/CRG Research Unit in Systems Biology, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003 Barcelona, Spain. Tel.: +34 93 316 00 85, Fax: +34 93 396 99 83

Received September 8, 2015. Revision received December 4, 2015. Accepted January 11, 2016.


Developmental gene networks implement the dynamic regulatory mechanisms that pattern and shape the organism. Over evolutionary time, the wiring of these networks changes, yet the patterning outcome is often preserved, a phenomenon known as “system drift”. System drift is illustrated by the gap gene network—involved in segmental patterning—in dipteran insects. In the classic model organism Drosophila melanogaster and the non-model scuttle fly Megaselia abdita, early activation and placement of gap gene expression domains show significant quantitative differences, yet the final patterning output of the system is essentially identical in both species. In this detailed modeling analysis of system drift, we use gene circuits which are fit to quantitative gap gene expression data in M. abdita and compare them to an equivalent set of models from D. melanogaster. The results of this comparative analysis show precisely how compensatory regulatory mechanisms achieve equivalent final patterns in both species. We discuss the larger implications of the work in terms of “genotype networks” and the ways in which the structure of regulatory networks can influence patterns of evolutionary change (evolvability).

© The Author(s) 2016. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

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