Search bioRxiv⌕ Search

Biology subjects

Lonergan, Z. R.

Publications and source records attributed to Lonergan, Z. R..

2 recordsLinked to original sources

Nitric oxide tunes secreted metabolite bioactivity

The radical nitric oxide ({middle dot}NO) is short-lived but has imprinted itself on many aspects of physiology and disease. {middle dot}NOs rapid production and consumption, coupled with its intrinsic reactivity, drive its biological importance; thus, defining mechanisms and targets of {middle dot}NO reactivity is necessary to assess its fate and impact. Cellular small molecules are a major class of {middle dot}NO-reactive targets, possessing a variety of molecular functionalities that can react with {middle dot}NO. Yet the capacity for secreted small molecules to react with {middle dot}NO, as well as the biological consequences of such reactivity, have received little attention. Here, we explore the reactivity of {middle dot}NO with phenazine metabolites, microbially-derived secreted small molecules that possess antibiotic properties and can modulate their microenvironment. Using Pseudomonas aeruginosa as a model phenazine producer, we find that {middle dot}NO reacts with specific phenazines to yield stable, chemically-distinct products. These chemical transformations significantly attenuate phenazine antibiotic properties, including against the phenazine nonproducer Staphylococcus aureus, a competitor with P. aeruginosa for niches in the context of infection. By contrast, P. aeruginosa experiences rapid loss in viability when phenazines and {middle dot}NO react. This toxicity occurs even in the presence of S. aureus, which displays resistance to nitrosylated phenazines, implicating a specific toxicity dependent on the formation of the phenazine-NO adduct. These findings highlight the capacity of {middle dot}NO to transform metabolite activity and suggest that {middle dot}NO can tune microbial interactions in complex environments by a mechanism of action hitherto unappreciated.

microbiology↗

Visualization of mRNA Expression in Pseudomonas aeruginosa Aggregates Reveals Spatial Patterns of Fermentative and Denitrifying Metabolism

Gaining insight into the behavior of bacteria at the single cell level is important given that heterogeneous microenvironments strongly influence microbial physiology. The hybridization chain reaction (HCR) is a technique that provides in situ molecular signal amplification, enabling simultaneous mapping of multiple target RNAs at small spatial scales. To refine this method for biofilm applications, we designed and validated new probes to visualize expression of key catabolic genes in Pseudomonas aeruginosa aggregates. In addition to using existing probes for the dissimilatory nitrate reductase (narG), we developed probes for a terminal oxidase (ccoN1), nitrite reductase (nirS), nitrous oxide reductase (nosZ), and acetate kinase (ackA). These probes can be used to determine gene expression levels both in liquid culture and in biofilms. Using these probes, we quantified gene expression across oxygen gradients in aggregate populations grown using the agar block biofilm assay (ABBA). We observed distinct patterns of catabolic gene expression, with upregulation occurring in particular ABBA regions both within individual aggregates and over the aggregate population. Aerobic respiration (ccoN1) showed peak expression under oxic conditions, whereas fermentation (ackA) showed peak expression in the anoxic cores of high metabolic activity aggregates near the air-agar interface. Denitrification genes narG, nirS, and nosZ showed peak expression in hypoxic and anoxic regions, although nirS expression was much stronger in anoxic environments compared to other denitrification genes. These results reveal that the microenvironment correlates with catabolic gene expression in aggregates, and demonstrate the utility of HCR in unveiling cellular activities at the microscale in heterogeneous populations. ImportanceTo understand bacteria in diverse contexts we must understand the variations in behaviors and metabolisms they express spatiotemporally. Populations of bacteria are known to be heterogeneous, but the ways this variation manifests can be challenging to characterize due to technical limitations. By focusing on energy conservation, we demonstrate that HCR v3.0 can visualize nuances in gene expression, allowing us to understand how metabolism in Pseudomonas aeruginosa biofilms responds to microenvironmental variation at high spatial resolution. We validated probes for four catabolic genes: a constitutively expressed oxidase, acetate kinase, nitrite reductase, and nitrous oxide reductase. We showed that the genes for different modes of metabolism are expressed in overlapping but distinct subpopulations according to oxygen concentrations in a predictable fashion. The spatial transcriptomic technique described here has the potential to be used to map microbial activities across diverse environments.

microbiology↗