Evidence map›Paper›PMID 24794435›Full record

ArticleCell reports2014

Metabolic resource allocation in individual microbes determines ecosystem interactions and spatial dynamics.

William R Harcombe, William J Riehl, Ilija Dukovski, Brian R Granger, Alex Betts, Alex H Lang, Gracia Bonilla, Amrita Kar, Nicholas Leiby, Pankaj Mehta and 2 more

Abstract read
In one paragraph

Article in Cell reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 269 papers.

0numbers the graph read from it
0cells of the map it votes in
269citing papers in PubMed
–field-weighted citation impact
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

269 citing papers in PubMed.

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  15. Dynamic metabolic modelling of ATP allocation during viral infection.Journal of the Royal Society, Interface · 2026
    Article
  16. Constraint-Based Metabolic Modeling Approach for Microbial Communities.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

209 more citing papers are in PubMed but not listed here.

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.

William R HarcombeDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.
William J RiehlBioinformatics Graduate Program, Boston University, Boston, MA 02215, USA.
Ilija DukovskiBioinformatics Graduate Program, Boston University, Boston, MA 02215, USA.
Brian R GrangerBioinformatics Graduate Program, Boston University, Boston, MA 02215, USA.
Alex BettsDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.
Alex H LangDepartment of Physics, Boston University, Boston, MA 02215, USA.
Gracia BonillaBioinformatics Graduate Program, Boston University, Boston, MA 02215, USA.
Amrita KarBioinformatics Graduate Program, Boston University, Boston, MA 02215, USA.
Nicholas LeibyDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Systems Biology Graduate Program, Harvard University, Cambridge, MA 02138, USA.
Pankaj MehtaBioinformatics Graduate Program, Boston University, Boston, MA 02215, USA; Department of Physics, Boston University, Boston, MA 02215, USA.
Christopher J MarxDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Faculty of Arts and Sciences Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA. Electronic address: cmarx@uidaho.edu.
Daniel SegrèBioinformatics Graduate Program, Boston University, Boston, MA 02215, USA; Department of Biology and Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA. Electronic address: dsegre@bu.edu.

Funding

Visant-Predictome: A System for Integration, Mining, Visualization and AnalysisR01GM103502 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DELISI, CHARLES, HU, ZHENJUN · 2012 to 2015
$3.0M
Computation and functional significance of multi-phenotype genetic interaction maR01GM089978 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DUDLEY, AIMEE M, SEGRE, DANIEL · 2010 to 2014
$2.3M
A quantitative study of cell-to-cell communication in bacteriaK25GM086909 · NIGMS · PRINCETON UNIVERSITY · PI MEHTA, PANKAJ · 2008 to 2012
$644k
Microbial Community Dynamics: A Systems Biology and Evolutionary ApproachF32GM090760 · NIGMS · HARVARD UNIVERSITY · PI HARCOMBE, WILLIAM · 2010 to 2012
$153k
LABORATORY STUDIES IN DRUG RESISTANCE REVERSALZ01SC006731 · SC · CLINICAL SCIENCES · PI BATES, SUSAN · 1996 to 2004
–
Intramural NIH HHS Z01 SC006731NIGMS NIH HHS 1F32GM090760NIGMS NIH HHS 5R01GM089978NIGMS NIH HHS 5R01GM103502-06NIGMS NIH HHS F32 GM090760NIGMS NIH HHS K25 GM086909NIGMS NIH HHS R01 GM089978NIGMS NIH HHS R01 GM103502
6 · The paper itself

Abstract

The interspecies exchange of metabolites plays a key role in the spatiotemporal dynamics of microbial communities. This raises the question of whether ecosystem-level behavior of structured communities can be predicted using genome-scale metabolic models for multiple organisms. We developed a modeling framework that integrates dynamic flux balance analysis with diffusion on a lattice and applied it to engineered communities. First, we predicted and experimentally confirmed the species ratio to which a two-species mutualistic consortium converges and the equilibrium composition of a newly engineered three-member community. We next identified a specific spatial arrangement of colonies, which gives rise to what we term the "eclipse dilemma": does a competitor placed between a colony and its cross-feeding partner benefit or hurt growth of the original colony? Our experimentally validated finding that the net outcome is beneficial highlights the complex nature of metabolic interactions in microbial communities while at the same time demonstrating their predictability.

Indexed as

EcosystemModels, BiologicalMicrobiotaSpatial BehaviorSpatio-Temporal Analysis

Identifiers

PMID24794435
PMCPMC4097880

What OpenQuestion holds

Textmetadata
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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.