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Ugolini, G. S.

Publications and source records attributed to Ugolini, G. S..

2 recordsLinked to original sources

When less is not more: Limits to the evolution of metabolic dependence in spatially structured microbial communities

In microbial communities, evolutionary processes can lead to loss of biosynthetic pathways, creating metabolic dependencies. The Black Queen Hypothesis suggests that such gene loss can confer a fitness advantage by reducing metabolic burden. However, how these dependencies evolve at the level of individual cells in spatially structured communities remains poorly understood. We used a combination of microfluidic single-cell imaging and mathematical modeling to examine the early fate of auxotrophic mutants within E. coli populations. We found that without external amino acids, auxotroph growth is strongly constrained by low amino acid leakage from wildtype neighbors, and further reduced when they form local clusters that drain this limited amino acid pool. A growth advantage was only observed when amino acids were added or when leakage from wildtypes exceeded a threshold. Together, our results reveal insights into determinants of mutant invasion fitness and the trade-offs between reducing metabolic costs and maintaining metabolic autonomy. HighlightsO_LISingle-cell imaging reveals how auxotrophs fare in spatially structured populations C_LIO_LIAuxotrophs grow slowly due to low amino acid leakage from wildtype neighbors C_LIO_LIMutant clustering intensifies local amino acid depletion and reduces auxotroph growth C_LIO_LIModel identifies leakage threshold required for auxotroph invasion from rare C_LI

evolutionary biology↗

Single-cell approach dissecting agr quorum sensing dynamics in Staphylococcus aureus

Staphylococcus aureus both colonizes humans and causes severe virulent infections. Virulence is regulated by the agr quorum sensing system and its autoinducing peptide (AIP), with dynamics at the single-cell level across four agr-types - each defined by distinct AIP sequences and capable of cross-inhibition - remaining elusive. Employing microfluidics, time-lapse microscopy, and deep-learning image analysis, we uncovered significant differences in AIP sensitivity among agr-types. We observed bimodal agr activation, attributed to intergenerational phenotypic stability and influenced by AIP concentration. Upon AIP stimulation, agr-III showed AIP insensitivity, while agr-II exhibited increased sensitivity and prolonged generation time. Beyond expected cross-inhibition of agr-I by heterologous AIP-II and -III, the presumably cross-activating AIP-IV also inhibited agr-I. Community interactions across different agr-type pairings revealed four main patterns: stable or switched dominance, and delayed or stable dual activation, influenced by community characteristics. These insights underscore the potential of personalized treatment strategies considering virulence and genetic diversity.

microbiology↗