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Updated: Aug 27, 2026

Monitoring Plant Hormones During Stress Responses
Published on: June 15, 2009
Engineering inter-kingdom adrenergic signaling in commensals couples host stress hormone sensing to programmable
Santosh Kumar Srivastava1,2,3,4, Guo Wei Foo1,2,3, Haosheng Shen1,2,3
1NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, Singapore, Singapore.
Abstract:
Host stress is associated with elevated catecholamine neurohormones that influence gut physiology and host-microbe interactions, yet how bacterial systems detect and interpret these signals remains incompletely understood. Enteric pathogens exploit inter-kingdom adrenergic signaling to sense host-derived norepinephrine and epinephrine, but whether such pathways can be rationally rewired to produce predictable, programmable outputs has not been systematically explored. Here, we reconstitute adrenergic signaling in Escherichia coli Nissle 1917 by repurposing the enterohemorrhagic E. coli QseBC two-component system. Transcriptomic profiling revealed robust catecholamine-dependent activation of QseBC-regulated pathways in the engineered strain. Guided by these data, we redesigned a QseBC-responsive promoter through rational truncation, sigma-factor replacement, and optimization of QseBC expression, generating a synthetic promoter with enhanced sensitivity and dose-dependent responsiveness to stress hormones. Structure-guided mutagenesis of the QseC sensor kinase identified key residues required for catecholamine recognition, providing mechanistic insight into adrenergic hormone sensing. To demonstrate functional signal transduction beyond transcriptional reporting, we coupled the sensing module to a secretion cassette encoding a corticotropin-releasing factor (CRF) receptor antagonist as a model bioactive output and validated bioactivity in vitro. Together, this work elucidates principles governing bacterial stress hormone sensing and demonstrates how inter-kingdom signaling pathways can be engineered to yield programmable biological outputs.
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