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Dense encoding of developmental regulatory information may constrain evolvability

Authors :
Timothy Fuqua
Justin Crocker
David L. Stern
Namiko Abe
Aliaksandr Halavatyi
Richard S. Mann
Peter Polidoro
Jeff Jordan
Albert Tsai
Maria Eliza van Breugel
Christian Tischer
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Gene regulatory changes underlie much of phenotypic evolution. However, the evolutionary potential of regulatory evolution is unknown, because most evidence comes from either natural variation or limited experimental perturbations. Surveying an unbiased mutation library for a developmental enhancer inDrosophila melanogasterusing an automated robotics pipeline, we found that most mutations alter gene expression. Our results suggest that regulatory information is distributed throughout most of a developmental enhancer and that parameters of gene expression—levels, location, and state—are convolved. The widespread pleiotropic effects of most mutations and the codependency of outputs may constrain the evolvability of developmental enhancers. Consistent with these observations, comparisons of diverse drosophilids reveal mainly stasis and apparent biases in the phenotypes influenced by this enhancer. Developmental enhancers may encode a much higher density of regulatory information than has been appreciated previously, which may impose constraints on regulatory evolution.Quote“Rock, robot rockRock, robot rockRock, robot rock”Daft Punk (2005)

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....6bfa32760cdc1711ecce01033720b06d