Publications by authors named "Matheo Delvenne"

Article Synopsis
  • * Significant fluctuations in the consumption of these sugars were observed as early as the 50th generation, which were not solely due to the emergence of low-consumption clones but instead linked to variations in the number of gene copies responsible for sugar assimilation.
  • * The findings suggest that while the yeast shows some genetic and metabolic instability, these issues could potentially worsen in more extreme industrial conditions, negatively impacting production efficiency.
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Article Synopsis
  • Isogenic cell populations can adapt to stress by switching to different phenotypes, but this variability is problematic for applications like bioproduction and synthetic biology.
  • The study investigates how various systems (like bacteria and yeast) diversify under stress, revealing that the fitness cost of switching phenotypes correlates with population dynamics.
  • A stochastic model identifies three diversification patterns—constrained, dispersed, and bursty—based on switching costs, and a tool called Segregostat allows for better control over these patterns for more predictable cellular behavior.
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Article Synopsis
  • Scientists are studying how different types of bacteria and yeast can work together better to make useful products.
  • They found that if they change the food supply in a special way, it helps the yeast and bacteria grow together more successfully.
  • Using a cool computer program, they could predict how to control the growth of these microbes, leading to better results when tested in real-life experiments.
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Microbial populations can adapt to adverse environmental conditions either by appropriately sensing and responding to the changes in their surroundings or by stochastically switching to an alternative phenotypic state. Recent data point out that these two strategies can be exhibited by the same cellular system, depending on the amplitude/frequency of the environmental perturbations and on the architecture of the genetic circuits involved in the adaptation process. Accordingly, several mitigation strategies have been designed for the effective control of microbial populations in different contexts, ranging from biomedicine to bioprocess engineering.

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