Evolutionary Hysteresis: Cycling about in a Rugged Landscape

TL;DR

This paper demonstrates that evolutionary hysteresis, caused by epistatic interactions, is a widespread phenomenon observable in models, simulations, and real-world data, revealing complex fitness landscape dynamics.

Contribution

It introduces a comprehensive framework combining theory, simulation, and empirical data to identify and analyze evolutionary hysteresis across various biological systems.

Findings

Hysteresis occurs in bistable fitness landscapes due to epistasis.

Maximal fitness at intermediate environmental stochasticity levels.

Empirical evidence shows 65% of seasonal alleles exhibit hysteresis.

Abstract

In this work, we integrate theoretical modeling, molecular simulation, and empirical analysis to identify and characterize evolutionary hysteresis. We first show how epistatic interactions create bistable fitness landscapes and structural hysteresis in a two-locus Wright-Fisher model, revealing two distinct hysteresis regimes under cyclic and noisy selection. Notably, an epistatically constrained population achieves maximal average fitness at an intermediate level of environmental stochasticity. We then extend this framework to more complex systems, demonstrating robust hysteresis loops in both a disordered multi-locus model and in biophysically realistic simulation of protein structural flexibility. Finally, we present direct empirical evidence of evolutionary hysteresis. By analyzing two decades of metagenomic time-series data from freshwater C. Nanopelagicaceae experiencing strong seasonal temperature cycles, we find that approximately 65% of seasonally oscillating alleles exhibit statistically significant hysteresis. Together, these results establish hysteresis as a general, measurable feature of evolution and a potential probe of complex fitness landscapes.