Back

Dense encoding of developmental regulatory information may constrain evolvability

Fuqua, T.; Jordan, J.; van Breugel, M. E.; Halavatyi, A.; Tischer, C.; Polidoro, P.; Abe, N.; Tsai, A.; Mann, R. S.; Stern, D. L.; Crocker, J.

2020-04-18 evolutionary biology
10.1101/2020.04.17.046052 bioRxiv
Show 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 in Drosophila melanogaster using 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 rock Rock, robot rock Rock, robot rock" Daft Punk (2005)

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.