Learning the pattern of epistasis linking genotype and phenotype in a protein
Abstract
Understanding the pattern of epistasis - the non-independence of mutations - is critical for relating genotype and phenotype in biological systems. However, the complexity of potential epistatic interactions has limited approaches to this problem at any level. To develop practical strategies, we carried out a comprehensive experimental study of epistasis between all mutations that link two phenotypically distinct variants of the Entacmaea quadricolor fluorescent protein. The data demonstrate significant high-order epistatic interactions between mutations, but also reveals extraordinary sparsity, enabling novel experimental strategies and sequence-based statistical methods for learning the relevant epistasis. The sequence space linking the parental fluorescent proteins is functionally connected through paths of single mutations; thus, high-order epistasis in proteins is consistent with evolution through stepwise variation and selection. This work initiates a path towards characterizing epistasis in proteins in general.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 164
- FWCI
- 8.41
- Field percentile
- top 1%
- Assay
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Inferring the shape of global epistasis
J. Otwinowski, D. M. McCandlish, J. Plotkin·bioRxiv·Mar 8, 2018
- Variations and predictability of epistasis on an intragenic fitness landscape.
Sarvesh Baheti, Namratha Raj, Supreet Saini·bioRxiv·Aug 25, 2024
- Higher-order epistasis creates idiosyncrasy, confounding predictions in protein evolution
K. Buda, C. M. Miton, N. Tokuriki·bioRxiv·Sep 7, 2022
- Protein fitness landscapes are simpler under evolutionary distributions
Darin Tsui, Kunal Talreja, Amirali Aghazadeh·bioRxiv·Jul 10, 2026
- The simplicity of protein sequence-function relationships
Yeonwoo Park, Brian P. H. Metzger, Joseph W. Thornton·Nature CommunicationsPeer-reviewed·Sep 11, 2024
- Robust detection of specific epistasis using rank statistics
Maryn O. Carlson, Bryan L. Andrews, Yuval B. Simons·Proceedings of the National Academy of SciencesPeer-reviewed·Sep 23, 2025