Pangenomic landscapes shape the genetic circuit performance in aStutzerimonasbiodesign toolkit

Abstract

Implementation of identical biodesign strategies into different species often results in different performance, a process called thechassis effect. Our current understanding of how cellular host context underpins its ability to be engineered is lacking and closing this knowledge gap will greatly improve the rational design of microorganisms. Here, we combined global differential gene expression analysis and pangenomics to uncover how genome structure and function relates to the observed chassis effect of an engineered genetic inverter device operating in six closely relatedStutzerimonashosts. The differential expression of the core genome, gene clusters shared between all hosts, was found to be the main source of significant concordance to the observed device performance, whereas specialty genes from respective accessory genomes were not significant. A data-driven investigation revealed that genes related to denitrification and efflux pumps were among the most differentially expressed gene clusters in response to the engineered device. This study establishes that the effectiveness of synthetic gene circuits can be traced along differences in closely related microbial hosts that each represent unique hardware options for biodesign.