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Biology subjects

Moreno-Gamez, S.

Publications and source records attributed to Moreno-Gamez, S..

2 recordsLinked to original sources

A universal surface functionalization technique to chemically enhance live microbial cells

Microbial surface functionalization is a powerful strategy for endowing microbes with novel, non-genetic functions. However, existing methods are often species-specific, limited in scope, and compromise cell viability. Here, we present a universal and modular platform for high-density, reproducible surface functionalization across diverse microbial species--including Gram-positive, Gram-negative, aerobic, and anaerobic bacteria--using multiple molecular classes such as fluorophores, enzymes, and nucleic acids. Our method preserves cell viability, and achieves 50x higher functionalization efficiency than previous methods with a standardized protocol applicable to any azide-containing molecule. Applications of the method show reproducible and tunable phenotypic outcomes at the single-cell level: fluorophore labeling yielded adjustable fluorescence, {beta}-lactamase conferred scalable antibiotic resistance, and DNA coatings modulated adhesion and aggregation. This platform provides quantitative, non-genetic control over microbial phenotypes and complements genetic engineering approaches. It enables new possibilities for microbial design in biotechnology, medicine, and environmental applications where genetic modification is impractical or undesirable.

microbiology↗

Quorum sensing as a mechanism to harness the wisdom of the crowds

Bacteria release and sense small molecules called autoinducers (AIs) in a process known as quorum sensing (QS). The prevailing interpretation of QS is that by sensing AI concentrations, bacteria estimate population density to regulate the expression of functions that are only beneficial when carried out by a sufficiently large number of cells. However, a major challenge to this interpretation is that the concentration of AIs strongly depends on the environment, often rendering AI-based estimates of cell density unreliable. Here we propose an alternative interpretation of QS, where bacteria, by releasing and sensing AIs, harness social interactions to sense the environment as a collective. As shown by a model, this functionality can explain the evolution of QS, and results from individuals improving their estimation accuracy by pooling many imperfect estimates - analogous to the wisdom of the crowds in decision theory. Importantly, our model reconciles the observed dependence of QS on both population density and the environment and explains why several QS systems regulate the production of private goods.

microbiology↗