Fig. 2: Statistical properties of DFEs as well as effects of individual mutations sensitively depend on environment.
From: Quantifying the local adaptive landscape of a nascent bacterial community

A Knockout fitness effects tend to have a larger magnitude when S and L are at ecological equilibrium versus when they are in monoculture. Line shown is a rolling average of fitness effectsā±āstandard error. Error bars on points represent standard errors, as calculated in methods section āProbabilistic model of read count trajectories and fitness inferenceā. B Distribution of fitness effects across environments, where we only included knockouts that were called as significantly non-neutral. Please note that the DFEs of REL606 are on a different scale than S and L. C Illustration of how the sign of fitness effects changes across environments. Few mutations are unconditionally beneficial or deleterious, many are non-neutral only in one or few environments, and sign-flipping of fitness effects across environments is pervasive. REL606 only has 4 unique environments, compared to 6 for S and L. Size of circle is proportional to number of genes that fall into each class.