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Microbial Evolution in Fluctuating Environments: Mechanisms and Adaptation Strategies

Explore how microbes adapt to changing environments through gene expression systems, bet-hedging, and signaling roles. Investigate the impact of natural selection on stochasticity and biochemical processes. Develop a theoretical framework starting with bistable operons and exploring the fitness consequences of mutants. Address the challenges of modeling microbial responses using individual-based models versus traditional differential equations in fluctuating environments.

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Microbial Evolution in Fluctuating Environments: Mechanisms and Adaptation Strategies

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  1. Evolutionary response of microbes to fluctuating environment: a mechanistic account Xiao Yi University of Minnesota 06.08.11

  2. QUESTIONS • How microbes (gene expression system) adapt to fluctuating environment? • Bet-hedging v.s. sensing • What roles signals play to determine microbial response? • Is biochemical stochasticity subject to natural selection to help solve the problem?

  3. Project • Start with a bistableoperon Choi et al. Science (2008)

  4. Project • Construct an operon with fitness consequences

  5. Project • Competing mutants with wild type or each other • Make mutants of the regulatory protein with differential affinities to the operator

  6. Motivation • Problem: differential equations are clumsy to describe the system given fluctuating environment • Inspiration: individual based model seems more natural to model the system

  7. Challenges • My goal: • Can I use individual based model and is it better than the traditional ones?

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