A multidimensional perspective on microbial interactions

Abstract

Beyond being simply positive or negative, beneficial or inhibitory, microbial interactions can involve a diverse set of mechanisms, dependencies and dynamical properties. These more nuanced features have been described in great detail for some specific types of interactions, (e.g. pairwise metabolic cross-feeding, quorum sensing or antibiotic killing), often with the use of quantitative measurements and insight derived from modeling. With a growing understanding of the composition and dynamics of complex microbial communities for human health and other applications, we face the challenge of integrating information about these different interactions into comprehensive quantitative frameworks. Here, we review the literature on a wide set of microbial interactions, and explore the potential value of a formal categorization based on multidimensional vectors of attributes. We propose that such an encoding can facilitate systematic, direct comparisons of interaction mechanisms and dependencies, and we discuss the relevance of an atlas of interactions for future modeling and rational design efforts.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 01, 2019
Source ID
10.1093/femsle/fnz125

Entities

People

  • Alan R Pacheco
  • Daniel Segrè

Organizations

  • Boston University
  • Defense Advanced Research Projects Agency
  • National Institutes of Health
  • National Science Foundation
  • United States Department of State

Tags

Fields of Study

  • Biology

Readers

  • Microbial Pathology
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • Biotechnology