Abstract
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.
Original language | English |
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Article number | e3002348 |
Number of pages | 26 |
Journal | PLOS Biology |
Volume | 21 |
Issue number | 10 |
Early online date | 23 Oct 2023 |
DOIs | |
Publication status | Published - 23 Oct 2023 |
Bibliographical note
Funding Information:This work was funded by a Royal Society Research Fellows Grant (RG160491; awarded to TBT) supporting MJS; Royal Society Research Fellows Enhancement Award (RGF\EA\201057; awarded to TBT) supporting APP; a Royal Society Dorothy Hodgkin Research Fellowship (DH150169; awarded to and supporting TBT). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Data Availability: All raw data for this study is available on the Open Science Framework (OSF), and can be accessed at https://osf.io/pcdhx/. Data is also available in supplementary data files where cited. RNAseq files are available on NCBI GEO accession GSE228016.