2020.09.28 Membrane potential dynamics reveal magnesium as a determinant of bacterial survival

2020-09-22 20:53:42

北京大学定量生物学中心

学术报告 

题    目: Membrane potential dynamics reveal magnesium as a determinant of bacterial survival

报告人: Leticia Galera-Laporta, Ph.D.

University of California San Diego (UCSD)

时    间: 928日(周一)9:00-10:00

地    点: Online (Zoom会议)

会议 ID627 9242 4126

https://zoom.com.cn/j/62792424126

主持人: Lucas Carey

摘 要:

Cell-to-cell variability in stress response is observed even in single-species bacterial cultures, with subgroups of cells more resilient to stress than others. A clear example of this variability is the heterogeneity seen in responses to antibiotic treatments where some bacteria survive, and others die. This higher resilience to antibiotics is generally thought to be associated with “dormant” non-growing cells. I will explain how we discovered an alternative mechanism by measuring membrane potential dynamics of Bacillus subtilis cells, which actively-growing bacteria utilize to cope with ribosome-targeting antibiotics. Our work provides a new perspective on the heterogeneous antibiotic response, emphasizing the importance of ion flux regulation in bacterial survival.

I will talk about unpublished results, and results from

1.       D.D. Lee*,L. Galera-Laporta*, M.Bialecka-Fornal*, … J. Garcia-Ojalvo, and G.M. Süel. *equal contribution. Membrane potential dynamics reveal ion flux modulation as a determinant of bacterial survival. Cell. 2019

2.       Commentary: A. Du Toit. Unlocking new potentials. Nature Reviews Microbiology (2019)

3.       L. Galera-Laporta and J. Garcia-Ojalvo. Antithetic population response to antibiotics in a polybacterial community. Science Advances. 2020

 

报告人简介:

Leticia Galera-Laporta is a postdoctoral researcher at University of California San Diego (UCSD), advised by Prof. Gürol Süel. She received her PhD in Biomedicine at University Pompeu Fabra in 2019, advised by Prof. Jordi Garcia-Ojalvo. Leticia uses mathematical modeling and experiments to understand how heterogeneity within populations generates counter-intuitive mechanisms of antibiotic resistance.