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Massachusetts Institute of Technology

Emergent behaviors in microbial communities

Abstract

dc:description.abstract

Physics of systems around us are often emergent, shaped by not only the fundamental constituents but their interactions, structures, and symmetries at larger scales. Microbial communities, which play indispensable roles in nature, are complex active systems that naturally pushes us to the unexplored frontier of emergent phenomena. During my PhD, I studied how some behaviors of microbial communities can be simple at emergent level despite the underlying complexity at microscopic level. First, I demonstrated that competition for resources may lead to the experimentally observed simplicity in community assembly. Even without microscopic information on the traits of microbes, trio and larger community assembly is often predictable from collections of pairwise competitions. Second, I demonstrated that slow mutants can take over expanding fronts and the resulting large-scale spatial pattern can be predicted without microscopic information. Overall, my works illustrate that, beyond qualitative explanations, we can make precise predictions for the behaviors of microbial communities without any information about microscopic details of the systems. This lens of emergent behavior allows us to discover simple descriptions of microbial communities at large scales unhindered by their complexities at small scales.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Physics
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lee, Hyunseok
Advisor dc:contributor.advisor
  • Gore, Jeff

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/150699
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/150699

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Lee, Hyunseok. Emergent behaviors in microbial communities. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/150699