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Dragan, A.

Publications and source records attributed to Dragan, A..

3 recordsLinked to original sources

Amino acid cross-feeding in E. coli globally and idiosyncratically alters mutant fitness

Cross-feeding between microbes is believed to be common in many natural ecosystems, especially between species that are auxotrophic for essential nutrients such as amino acids. Several recent studies have demonstrated that cross-feeding and other ecological interactions between microbes alter their evolution and the fitness of mutations. However, these studies focused on interactions between different species, where the nature of the interaction is complex due to the large genetic differences between species, making it difficult to directly attribute changes in mutant fitness to a specific interaction. To address this problem, we use a synthetic cross-feeding interaction between isoleucine and methionine auxotrophs of Escherichia coli, two commonly observed auxotrophies in bacterial genomes. Using a library of genome-wide knockout mutants from transposon insertions, we measure the fitness of these mutants in the presence and absence of cross-feeding. We find that cross-feeding either isoleucine or methionine globally shifts mutant fitness to become more beneficial on average by inducing strong positive selection on a few mutants and rescuing strongly deleterious mutants. However, cross-feeding also affects mutants idiosyncratically: the most beneficial mutants under cross-feeding are neutral or deleterious without cross-feeding, and cross-feeding isoleucine affects different genes than cross-feeding methionine does. We discover one spontaneous mutant, with especially dramatic idiosyncratic effects under isoleucine cross-feeding, that achieves this phenotype by becoming a partial threonine auxotroph and reversing its ancestral isoleucine auxotrophy. This work directly demonstrates the statistical patterns and possible mechanisms by which a common ecological interaction between microbes alters their mutant fitness.

microbiology↗

Coxiella burnetii strains elicit distinct inflammatory responses in human macrophages

Coxiella burnetii, the causative agent of human Q fever, subverts macrophage antimicrobial functions to establish an intracellular replicative niche. To better understand the host-pathogen interactions, we investigated the transcriptional responses of human alveolar macrophages (hAMs) infected with virulent (NMI, G), attenuated (NMII), and avirulent (Dugway) strains of C. burnetii. RNA sequencing analysis revealed that all strains activated proinflammatory pathways, particularly IL-17 signaling, though the magnitude and nature of the response varied by strain. Dugway infection induced the most robust transcriptional response and consistent M1-like macrophage polarization, while responses to NMI and NMII were more variable. Cytokine assays confirmed significant secretion of effectors downstream of IL-17 signaling, but only at later stages of infection. Single-cell RNA sequencing further revealed heterogeneity in macrophage response to C. burnetii infection, with distinct subpopulations exhibiting divergent inflammatory profiles. These findings highlight the complexity of macrophage responses to C. burnetii and underscore the importance of strain-specific and cell-specific factors in shaping host immunity. Understanding these dynamics may inform the development of targeted therapies for Q fever.

microbiology↗

Quantifying nutrient colimitation of microbial growth

Resource availability dictates how fast and how much microbial populations grow. Quantifying the relationship between microbial growth and resource concentrations makes it possible to promote, inhibit, and predict microbial activity. Microbes require many resources, including macronutrients (e.g., carbon and nitrogen), micronutrients (e.g., metals), and complex nutrients like vitamins and amino acids. When multiple resources are scarce, as occurs in nature, microbes may experience resource colimitation in which more than one resource limits growth simultaneously. Despite growing evidence for colimitation, the data is difficult to interpret and compare due to a lack of quantitative measures of colimitation and systematic tests of resource conditions. We hypothesize that microbes experience a continuum of nutrient limitation states and that nutrient colimitation is common in the laboratory and in nature. To address this, we develop a quantitative theory of resource colimitation that captures the range of possible limitation states and describes how they can change dynamically with resource conditions. We apply this approach to clonal populations of Escherichia coli to show that colimitation occurs in common laboratory conditions. We also show that growth rate and growth yield are colimited differently, reflecting their different underlying biology. Finally, we analyze environmental data to provide intuition for the continuum of limitation and colimitation conditions in nature. Altogether our results provide a quantitative framework for understanding and quantifying colimitation of microbes in biogeochemical, biotechnology, and human health contexts.

microbiology↗