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Biology subjects

Campbell, K. D.

Publications and source records attributed to Campbell, K. D..

2 recordsLinked to original sources

Non-canonical stringent response signaling mediates antimicrobial fatty acid sensitivity in Staphylococcus aureus

Staphylococcus aureus is a leading cause of skin and soft tissue infections, yet colonization of healthy skin is limited by multiple defenses, including antimicrobial fatty acids (AFAs) produced by host cells and the resident microbiota. The mechanisms by which S. aureus overcomes these lipid-based defenses remain incompletely understood. Here, we show that mutations truncating the essential stringent response regulator Rel confer broad tolerance to both host-and microbially-derived AFAs in diverse S. aureus strains. Unlike classical stringent response activation, C-terminal Rel truncations do not induce typical (p)ppGpp-dependent transcriptional changes but instead enhance activity of the alternative sigma factor SigB and the staphylococcal accessory regulator SarA. This SigB-SarA regulatory cascade promotes transcriptional remodeling, including upregulation of pyrimidine biosynthesis genes, and coincides with alterations to cell envelope structure. Moreover, in the absence of SigB or SarA, tolerance can be restored through mutations in the serine/threonine phosphatase Stp1, highlighting additional pathways that modulate cell envelope-mediated resistance to AFAs. These findings identify a previously unrecognized consequence of Rel mutation in S. aureus; whereby small truncations may promote survival in AFA-rich host environments facilitating skin colonization and infection. ImportanceStaphylococcus aureus is a major cause of skin and soft tissue infections, and persistent skin colonization is a significant risk factor for infection. Antimicrobial fatty acids (AFAs), produced by microbes and host cells on human skin, normally limit S. aureus colonization. The mechanisms that allow this pathogen to overcome these lipid defenses are incompletely understood. We show that mutations truncating the essential stringent response regulator Rel enable S. aureus to tolerate both host-and microbially derived AFAs. These Rel variants, which have been identified in clinical isolates, alter cell envelope properties through the transcriptional regulator SarA rather than activating a classical stringent response. Our findings reveal a previously unrecognized adaptation that may facilitate S. aureus survival on the skin and promote infection.

microbiology↗

Assembly of skin microbiomes is more neutral than gut microbiomes in multiple animal species

The gut and external tissues of most animals are colonized by communities of microorganisms that can influence the health, development, and fitness of the host. The composition of these communities can vary greatly between individuals within a host species, and both selective factors (e.g. host immune response) and neutral processes (e.g. random loss of microbial cells) have been shown to contribute to this variation. While it is known that microbiome composition differs between tissues within an individual host, less is known about the ecological processes that underline these differences. To address this, we investigated whether the contribution of neutral ecological processes to microbiome assembly differs between external (skin and scale) and internal (gut) host tissues for a diverse panel of animal hosts. To do this, we fit a neutral ecological model to microbial communities from external and internal tissues across a variety of animal hosts. Strikingly, we discovered that the neutral model was equally or better fit to skin or scale microbial communities across all hosts, suggesting that neutral processes play a larger role in the assembly of skin or scale microbiomes compared to gut microbiomes. Furthermore, we observed that this trend is robust to different definitions of the metacommunity (i.e. the microbial taxa available to colonize a host). Finally, we leveraged a simulation framework to compare the model fits of empirical vs simulated microbial communities. We found that neutral model fits to empirical communities can differ from simulated communities, emphasizing the importance of temporal sampling in profiling animal microbiomes.

ecology↗