Resolving the Conflicts between Phenotypic Diversity and Collective Migration in Bacterial Populations

NIH RePORTER · NIH · F32 · $65,310 · view on reporter.nih.gov ↗

Abstract

Project Summary Cell populations often display substantial phenotypic diversity, even in homogeneous environments. At the same time, biological functions are not typically carried out by isolated cells, but rather by populations of varying functional abilities. The conflicts between phenotypic diversity and collective behavior have scarcely been examined. This project will address the gap in our understanding of these conflicts using Escherichia coli, a well-studied model system that exhibits both individuality and collective behavior. Groups of E. coli in a uniform field of nutrient form migrating bands mediated by the well-characterized chemotaxis system, which enables them to chase a gradient of nutrient generated by their consumption. However, single cells in an isogenic population of E. coli climb standing gradients with very different drift speeds, as recently characterized by the Emonet lab. How are these cells able to migrate together? We recently discovered a compensatory mechanism in which the fastest gradient-climbers localize to the front of the traveling band where the gradient is shallow, and the weakest performers localize to the back where the gradient is steep. But not all phenotypes are able to travel, indicating that collective migration can limit the amount of phenotypic diversity in the population. Here, I will examine the mechanisms by which bacteria resolve the conflicts between phenotypic diversity and collective behavior. Aim 1 will determine how phenotypic diversity in the band shapes the traveling gradient of attractant, and how receptor adaptation together with the shape of the gradient in turn affect which phenotypes can travel. The results will produce a quantitative understanding of how bacteria use spatial organization to resolve the conflicts between phenotypic diversity and collective behavior. Aim 2 will determine how differential growth and leakage of phenotypes off the back of the group affect collective migration. These studies will deepen our understanding of the extent to which growth can counteract the effects of collective behavior on population diversity.

Key facts

NIH application ID
9844854
Project number
5F32GM131583-02
Recipient
YALE UNIVERSITY
Principal Investigator
Henry H Mattingly
Activity code
F32
Funding institute
NIH
Fiscal year
2020
Award amount
$65,310
Award type
5
Project period
2019-01-01 → 2020-12-31