Search for: All records

Conserved NF-κB signaling pathways shape immune responses in animals. In mammals, NF-κB activation patterns and downstream transcription vary with stimulus, cell type, and stochastic differences among identically treated cells. Whether animals without adaptive immunity exhibit similar heterogeneity or rely on distinct immune strategies remains unknown. We engineered Drosophila melanogaster S2* reporter cells as an immune-responsive model to monitor the dynamics of an NF-κB transcription factor, Relish, and downstream transcription in single, living cells. Following immune stimulation, Relish exhibits diverse nuclear localization dynamics that fall into distinct categories, with both the fraction of responsive cells and their activation speed rising with stimulus dose. Pre-stimulus features, including Relish nuclear fraction, predict a cell's responsiveness to stimulation. Simultaneous measurement of Relish and downstream transcription revealed that the probability of transcriptional bursts from immune-responsive enhancers correlates with Relish nuclear fraction. The number of NF-κB binding sites tunes transcriptional activity among immune enhancers. Our study uncovers heterogeneity in NF-κB activation and target gene expression within Drosophila, illustrating how dynamic NF-κB behavior and enhancer architecture tune gene regulation. 

Innate immune priming increases an organism’s survival of a second infection after an initial, non-lethal infection. We usedDrosophila melanogasterand an insect-derived strain ofEnterococcus faecalisto study transcriptional control of priming. In contrast to other pathogens, the enhanced survival in primed animals does not correlate with decreasedE.faecalisload. Further analysis shows that primed organisms tolerate, rather than resist infection. Using RNA-seq of immune tissues, we found many genes were upregulated in only primed flies, suggesting a distinct transcriptional program in response to initial and secondary infections. In contrast, few genes continuously express throughout the experiment or more efficiently re-activate upon reinfection. Priming experiments in immune deficient mutants revealed Imd is largely dispensable for responding to a single infection but needed to fully prime. Together, this indicates the fly’s innate immune response is plastic—differing in immune strategy, transcriptional program, and pathway use depending on infection history. 

Transcription is controlled by interactions of cis -acting DNA elements with diffusible trans -acting factors. Changes in cis or trans factors can drive expression divergence within and between species, and their relative prevalence can reveal the evolutionary history and pressures that drive expression variation. Previous work delineating the mode of expression divergence in animals has largely used whole-body expression measurements in one condition. Because cis -acting elements often drive expression in a subset of cell types or conditions, these measurements may not capture the complete contribution of cis -acting changes. Here, we quantify the mode of expression divergence in the Drosophila fat body, the primary immune organ, in several conditions, using two geographically distinct lines of D. melanogaster and their F1 hybrids. We measured expression in the absence of infection and in infections with Gram-negative S. marcescens or Gram-positive E. faecalis bacteria, which trigger the two primary signaling pathways in the Drosophila innate immune response. The mode of expression divergence strongly depends on the condition, with trans -acting effects dominating in response to Gram-negative infection and cis -acting effects dominating in Gram-positive and preinfection conditions. Expression divergence in several receptor proteins may underlie the infection-specific trans effects. Before infection, when the fat body has a metabolic role, there are many compensatory effects, changes in cis and trans that counteract each other to maintain expression levels. This work shows that within a single tissue, the mode of expression divergence varies between conditions and suggests that these differences reflect the diverse evolutionary histories of host–pathogen interactions.