Evolutionary innovation through transcription factor rewiring in microbes is shaped by levels of transcription factor activity, expression, and existing connectivit

The survival of a population during environmental shifts depends on whether the rate of phenotypic adaptation keeps up with the rate of changing conditions. A common way to achieve this is via change to gene regulatory network (GRN) connections-known as rewiring-that facilitate novel interactions and innovation of transcription factors. To understand the success of rapidly adapting organisms, we therefore need to determine the rules that create and constrain opportunities for GRN rewiring. Here, using an experimental microbial model system with the soil bacterium Pseudomonas fluorescens, we reveal a hierarchy among transcription factors that are rewired to rescue lost function, with alternative rewiring pathways only unmasked after the preferred pathway is eliminated. We identify 3 key properties-high activation, high expression, and preexisting low-level affinity for novel target genes-that facilitate transcription factor innovation. Ease of acquiring these properties is constrained by preexisting GRN architecture, which was overcome in our experimental system by both targeted and global network alterations. This work reveals the key properties that determine transcription factor evolvability, and as such, the evolution of GRNs. Changes to gene regulatory network connections, known as rewiring, facilitate novel interactions and innovation of transcription factors. This study reveals three key properties that facilitate transcription factor innovation and evolvability: high activation, high expression, and pre-existing low-level affinity for novel target genes.

Automated summary

The survival of a population during environmental shifts depends on the rate of phenotypic adaptation keeping up with changing conditions. This study explores the rewiring of gene regulatory network connections to facilitate novel interactions and transcription factor innovation. The research identifies three key properties that enable transcription factor innovation: high activation, high expression, and pre-existing low-level affinity for novel target genes. The ease of acquiring these properties is constrained by the preexisting GRN architecture.