bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Дек. 30, 2024

ABSTRACT Adaptive populations rarely evolve in a static environment. Therefore, understanding and ultimately controlling the evolution of population requires consideration fluctuating selective pressures. The fitness landscape metaphor has long been used as tool for representing pressures given environment imposes on population. Much work already done to understand dynamics single landscape. More recently, or sequentially applied landscapes come fore evolutionary biology. As more empirical are described, metrics describing salient features paired will have uses likely dynamics. Currently, Pearson correlation coefficient collateral sensitivity likelihoods quantify topographical relatedness dissimilarity pair landscapes. Here, we introduce edge flip fraction, new metric comparing landscapes, which quantifies changes directionality between pairs We demonstrate that fraction captures differences traditional may overlook important consequences trajectories evolving them. By applying this both synthetic show it partially predicts can inform optimality drug sequences. optimal sequences keep within lower regions require shifts directions, quantified by fraction. Edge complements existing measures help researchers how under changing environmental conditions, could yield clues pursuit control.

Язык: Английский