Dense and pleiotropic regulatory information in a developmental enhancer
Changes in gene regulation underlie much of phenotypic evolution1. However, our understanding of the potential for regulatory evolution is biased, because most evidence comes from either natural variation or limited experimental perturbations2. Using an automated robotics pipeline, we surveyed an un...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
14 October 2020
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| In: |
Nature
Year: 2020, Volume: 587, Issue: 7833, Pages: 235-239 |
| ISSN: | 1476-4687 |
| DOI: | 10.1038/s41586-020-2816-5 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1038/s41586-020-2816-5 Verlag, lizenzpflichtig, Volltext: https://www.nature.com/articles/s41586-020-2816-5 
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| Author Notes: | Timothy Fuqua, Jeff Jordan, Maria Elize van Breugel, Aliaksandr Halavatyi, Christian Tischer, Peter Polidoro, Namiko Abe, Albert Tsai, Richard S. Mann, David L. Stern & Justin Crocker |
MARC
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| 520 | |a Changes in gene regulation underlie much of phenotypic evolution1. However, our understanding of the potential for regulatory evolution is biased, because most evidence comes from either natural variation or limited experimental perturbations2. Using an automated robotics pipeline, we surveyed an unbiased mutation library for a developmental enhancer in Drosophila melanogaster. We found that almost all mutations altered gene expression and that parameters of gene expression—levels, location, and state—were convolved. The widespread pleiotropic effects of most mutations may constrain the evolvability of developmental enhancers. Consistent with these observations, comparisons of diverse Drosophila larvae revealed apparent biases in the phenotypes influenced by the enhancer. Developmental enhancers may encode a higher density of regulatory information than has been appreciated previously, imposing constraints on regulatory evolution. | ||
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