Long-term evolution of regulatory DNA sequences. Part 1: Simulations on global, biophysically-realistic genotype–phenotype maps

Mascolo E, Körei RE, Herrera-Álvarez S, Guet CC, Crocker J, Tkačik G. 2026. Long-term evolution of regulatory DNA sequences. Part 1: Simulations on global, biophysically-realistic genotype–phenotype maps. Current Opinion in Genetics & Development. 99, 102483.

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Author
Mascolo, EliaISTA ; Körei, Reka EISTA; Herrera-Álvarez, Santiago; Guet, Calin CISTA ; Crocker, Justin; Tkacik, GasperISTA

Corresponding author has ISTA affiliation

Abstract
Promoters and enhancers are cis-regulatory elements (CREs), DNA sequences that bind transcription factor (TF) proteins to up- or down-regulate target genes. Decades-long efforts yielded TF-DNA interaction models that predict how strongly an individual TF binds arbitrary DNA sequences and how individual binding events on the CRE combine to affect gene expression. These insights can be synthesized into a global, biophysically realistic, and quantitative genotype–phenotype map for gene regulation, a ‘holy grail’ for the application of evolutionary theory. A global map provides a rare opportunity to simulate the long-term evolution of regulatory sequences and pose several fundamental questions: How long does it take to evolve CREs de novo? How many non-trivial regulatory functions exist in sequence space? How connected are they? For which regulatory architecture is CRE evolution most rapid and evolvable? In this article, the first of a two-part series, we briefly review the pertinent modeling and simulation efforts for a unique system that enables close, quantitative, and mechanistic links between biophysics, as well as systems, synthetic, and evolutionary biology.
Publishing Year
Date Published
2026-05-09
Journal Title
Current Opinion in Genetics & Development
Publisher
Elsevier
Acknowledgement
We thank Nick Barton and Noa Ottilie Borst for essential contributions to this manuscript. E.M. acknowledges support from the APART-USA fellowship, jointly funded by the Austrian Academy of Sciences (ÖAW) and the Institute of Science and Technology Austria (ISTA). This study was supported by the European Molecular Biology Laboratory (J.C.); the European Molecular Biology Laboratory Interdisciplinary Postdoc Programme (EIPOD) under the Marie Skłodowska-Curie Actions cofund (S.H.A.).
Volume
99
Article Number
102483
ISSN
eISSN
IST-REx-ID

Cite this

Mascolo E, Körei RE, Herrera-Álvarez S, Guet CC, Crocker J, Tkačik G. Long-term evolution of regulatory DNA sequences. Part 1: Simulations on global, biophysically-realistic genotype–phenotype maps. Current Opinion in Genetics & Development. 2026;99. doi:10.1016/j.gde.2026.102483
Mascolo, E., Körei, R. E., Herrera-Álvarez, S., Guet, C. C., Crocker, J., & Tkačik, G. (2026). Long-term evolution of regulatory DNA sequences. Part 1: Simulations on global, biophysically-realistic genotype–phenotype maps. Current Opinion in Genetics & Development. Elsevier. https://doi.org/10.1016/j.gde.2026.102483
Mascolo, Elia, Reka E Körei, Santiago Herrera-Álvarez, Calin C Guet, Justin Crocker, and Gašper Tkačik. “Long-Term Evolution of Regulatory DNA Sequences. Part 1: Simulations on Global, Biophysically-Realistic Genotype–Phenotype Maps.” Current Opinion in Genetics & Development. Elsevier, 2026. https://doi.org/10.1016/j.gde.2026.102483.
E. Mascolo, R. E. Körei, S. Herrera-Álvarez, C. C. Guet, J. Crocker, and G. Tkačik, “Long-term evolution of regulatory DNA sequences. Part 1: Simulations on global, biophysically-realistic genotype–phenotype maps,” Current Opinion in Genetics & Development, vol. 99. Elsevier, 2026.
Mascolo E, Körei RE, Herrera-Álvarez S, Guet CC, Crocker J, Tkačik G. 2026. Long-term evolution of regulatory DNA sequences. Part 1: Simulations on global, biophysically-realistic genotype–phenotype maps. Current Opinion in Genetics & Development. 99, 102483.
Mascolo, Elia, et al. “Long-Term Evolution of Regulatory DNA Sequences. Part 1: Simulations on Global, Biophysically-Realistic Genotype–Phenotype Maps.” Current Opinion in Genetics & Development, vol. 99, 102483, Elsevier, 2026, doi:10.1016/j.gde.2026.102483.
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