Evidence map›Paper›PMID 35762764›Full record

ArticlemSystems2022

Environment Constrains Fitness Advantages of Division of Labor in Microbial Consortia Engineered for Metabolite Push or Pull Interactions.

Ashley E Beck, Kathryn Pintar, Diana Schepens, Ashley Schrammeck, Timothy Johnson, Alissa Bleem, Martina Du, William R Harcombe, Hans C Bernstein, Jeffrey J Heys and 2 more

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Ashley E BeckDepartment of Chemical and Biological Engineering, Montana State Universitygrid.41891.35, Bozeman, Montana, USA.
Kathryn PintarDepartment of Chemical and Biological Engineering, Montana State Universitygrid.41891.35, Bozeman, Montana, USA.
Diana SchepensDepartment of Mathematics and Statistics, Montana State Universitygrid.41891.35, Bozeman, Montana, USA.
Ashley SchrammeckDepartment of Chemical and Biological Engineering, Montana State Universitygrid.41891.35, Bozeman, Montana, USA.
Timothy JohnsonDepartment of Chemical and Biological Engineering, Montana State Universitygrid.41891.35, Bozeman, Montana, USA.
Alissa BleemDepartment of Chemical and Biological Engineering, Montana State Universitygrid.41891.35, Bozeman, Montana, USA.
Martina DuDepartment of Chemical and Biological Engineering, Montana State Universitygrid.41891.35, Bozeman, Montana, USA.
William R HarcombeDepartment of Ecology, Evolution, and Behavior, University of Minnesotagrid.17635.36, St. Paul, Minnesota, USA.ORCID 0000-0001-8445-2052
Hans C BernsteinNorwegian College of Fisheries Sciences & The Arctic Centre for Sustainable Energy, UiT-The Arctic University of Norway, Tromsø, Norway.
Jeffrey J HeysDepartment of Chemical and Biological Engineering, Montana State Universitygrid.41891.35, Bozeman, Montana, USA.
Tomas GedeonDepartment of Mathematics and Statistics, Montana State Universitygrid.41891.35, Bozeman, Montana, USA.ORCID 0000-0001-5555-6741
Ross P CarlsonDepartment of Chemical and Biological Engineering, Montana State Universitygrid.41891.35, Bozeman, Montana, USA.ORCID 0000-0002-2464-7111
Montana State University · USUiT The Arctic University of Norway · NOUniversity of Minnesota · US

Funding

Research Core (Developmental Research Project Program)P20GM103474 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI Jeffrey Good · 2012 to 2026
$60.0M
Predictive Multiscale Modeling of Microbial Consortia BiofilmsU01EB019416 · NIBIB · MONTANA STATE UNIVERSITY - BOZEMAN · PI CARLSON, ROSS P., FIELDS, MATTHEW W · 2014 to 2017
$1.3M
NIBIB NIH HHS U01 EB019416NIGMS NIH HHS P20 GM103474
6 · The paper itself

Abstract

Fitness benefits from division of labor are well documented in microbial consortia, but the dependency of the benefits on environmental context is poorly understood. Two synthetic Escherichia coli consortia were built to test the relationships between exchanged organic acid, local environment, and opportunity costs of different metabolic strategies. Opportunity costs quantify benefits not realized due to selecting one phenotype over another. The consortia catabolized glucose and exchanged either acetic or lactic acid to create producer-consumer food webs. The organic acids had different inhibitory properties and different opportunity costs associated with their positions in central metabolism. The exchanged metabolites modulated different consortial dynamics. The acetic acid-exchanging (AAE) consortium had a "push" interaction motif where acetic acid was secreted faster by the producer than the consumer imported it, while the lactic acid-exchanging (LAE) consortium had a "pull" interaction motif where the consumer imported lactic acid at a comparable rate to its production. The LAE consortium outperformed wild-type (WT) batch cultures under the environmental context of weakly buffered conditions, achieving a 55% increase in biomass titer, a 51% increase in biomass per proton yield, an 86% increase in substrate conversion, and the complete elimination of by-product accumulation all relative to the WT. However, the LAE consortium had the trade-off of a 42% lower specific growth rate. The AAE consortium did not outperform the WT in any considered performance metric. Performance advantages of the LAE consortium were sensitive to environment; increasing the medium buffering capacity negated the performance advantages compared to WT.

Indexed as

EcosystemMicrobial ConsortiaAcetatesBiomassLactic AcidAcetatesLactic Acidconsortiadivision of labormetabolite inhibitionsynthetic ecology

Identifiers

PMID35762764
PMCPMC9426560
OpenAlexW4283660750

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.