Santa Fe Institute Collaboration Platform

COMPLEX TIME: Adaptation, Aging, & Arrow of Time

Get Involved!
Contact: Caitlin Lorraine McShea, Program Manager, cmcshea@santafe.edu

Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions

From Complex Time
Revision as of 22:46, January 30, 2019 by RobertMarsland (talk | contribs) (Created page with "{{Reference Material |Meeting=Irreversible Processes in Ecological Evolution |Added by=RobertMarsland |title=Lotka-Volterra pairwise modeling fails to capture diverse pairwise...")

(diff) ← Older revision | Approved revision (diff) | Latest revision (diff) | Newer revision → (diff)
Category
General Reference
author-supplied keywords
keywords
authors
Babak Momeni
Li Xie
Wenying Shou
title
Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions
type
journal
year
2017
source
eLife
volume
6
publisher
eLife Sciences Publications Ltd
link
https://www.mendeley.com/catalogue/11d490cc-b834-3dc5-86cc-b8b5afabe6ab/(0)

Abstract

Pairwise models are commonly used to describe many-species communities. In these models, an individual receives additive fitness effects from pairwise interactions with each species in the community ('additivity assumption'). All pairwise interactions are typically represented by a single equation where parameters reflect signs and strengths of fitness effects ('universality assumption'). Here, we show that a single equation fails to qualitatively capture diverse pairwise microbial interactions. We build mechanistic reference models for two microbial species engaging in commonly-found chemical-mediated interactions, and attempt to derive pairwise models. Different equations are appropriate depending on whether a mediator is consumable or reusable, whether an interaction is mediated by one or more mediators, and sometimes even on quantitative details of the community (e.g. relative fitness of the two species, initial conditions). Our results, combined with potential violation of the additivity assumption in many-species communities, suggest that pairwise modeling will often fail to predict microbial dynamics.

Counts

Citation count From Scopus. Refreshed every 5 days.
76
Page views
0

Identifiers

  • doi: 10.7554/eLife.25051.001 (Google search)
  • issn: 2050084X
  • sgr: 85020030983
  • pmid: 5469619
  • scopus: 2-s2.0-85020030983
  • pui: 616847314

Add a file