Evidence map›Paper›PMID 27022995›Full record

ReviewThe ISME journal2016

Challenges in microbial ecology: building predictive understanding of community function and dynamics.

Stefanie Widder, Rosalind J Allen, Thomas Pfeiffer, Thomas P Curtis, Carsten Wiuf, William T Sloan, Otto X Cordero, Sam P Brown, Babak Momeni, Wenying Shou and 21 more

Abstract readReview
In one paragraph

Review in The ISME journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 323 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
323citing papers in PubMed, 1 pooled it
–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

323 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. Microbial biotechnology meets ecological theory: a unified framework to design industrial microbial consortia.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Review

263 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

31 authors.

Stefanie WidderCUBE, Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria.ORCID 0000-0003-0733-5666
Rosalind J AllenSUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK.
Thomas PfeifferNew Zealand Institute for Advanced Study, Massey University, Auckland, New Zealand.
Thomas P CurtisSchool of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne, UK.
Carsten WiufDepartment of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.
William T SloanInfrastructure and Environment Research Division, School of Engineering, University of Glasgow, Glasgow, UK.
Otto X CorderoDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Sam P BrownCentre for Immunity, Infection and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-1892-9275
Babak MomeniDepartment of Biology, Boston College, Chestnut Hill, MA, USA.ORCID 0000-0003-1271-5196
Wenying ShouDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Helen KettleBiomathematics and Statistics Scotland, Edinburgh, UK.
Harry J FlintRowett Institute of Nutrition and Health, University of Aberdeen, Aberdeen, UK.
Andreas F HaasBiology Department, San Diego State University, San Diego, CA, USA.
Béatrice LarocheDépartement de Mathématiques Informatiques Appliquées, INRA, Jouy-en-Josas, France.
Jan-Ulrich KreftSchool of Biosciences, University of Birmingham, Birmingham, UK.ORCID 0000-0002-2351-224X
Paul B RaineyNew Zealand Institute for Advanced Study, Massey University, Auckland, New Zealand.
Shiri FreilichNewe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.
Stefan SchusterDepartment of Bioinformatics, Friedrich-Schiller-University Jena, Jena, Germany.
Kim MilferstedtINRA, UR0050, Laboratoire de Biotechnologie de l'Environnement, Narbonne, France.
Jan R van der MeerDepartment of Fundamental Microbiology, Université de Lausanne, Lausanne, Switzerland.
Tobias GroβkopfSchool of Life Sciences, The University of Warwick, Coventry, UK.
Jef HuismanDepartment of Aquatic Microbiology, University of Amsterdam, Amsterdam, The Netherlands.
Andrew FreeInstitute of Quantitative Biology, Biochemistry and Biotechnology, School of Biological Science, University of Edinburgh, Edinburgh, UK.
Cristian PicioreanuDepartment of Biotechnology, Delft University of Technology, Delft, The Netherlands.
Christopher QuinceWarwick Medical School, University of Warwick, Coventry, UK.
Isaac KlapperDepartment of Mathematics, Temple University, Philadelphia, PA, USA.
Simon LabartheDépartement de Mathématiques Informatiques Appliquées, INRA, Jouy-en-Josas, France.
Barth F SmetsDepartment of Environmental Engineering, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0003-4119-6292
Harris WangDepartment of Systems Biology, Columbia University, New York, NY, USA.
Isaac Newton Institute Fellows
Orkun S SoyerSchool of Life Sciences, The University of Warwick, Coventry, UK.ORCID 0000-0002-9504-3796

Funding

Biotechnology and Biological Sciences Research Council BB/K003240/2Medical Research Council MR/L015080/1Medical Research Council MR/M50161X/1National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/K000683/1
6 · The paper itself

Abstract

The importance of microbial communities (MCs) cannot be overstated. MCs underpin the biogeochemical cycles of the earth's soil, oceans and the atmosphere, and perform ecosystem functions that impact plants, animals and humans. Yet our ability to predict and manage the function of these highly complex, dynamically changing communities is limited. Building predictive models that link MC composition to function is a key emerging challenge in microbial ecology. Here, we argue that addressing this challenge requires close coordination of experimental data collection and method development with mathematical model building. We discuss specific examples where model-experiment integration has already resulted in important insights into MC function and structure. We also highlight key research questions that still demand better integration of experiments and models. We argue that such integration is needed to achieve significant progress in our understanding of MC dynamics and function, and we make specific practical suggestions as to how this could be achieved.

Indexed as

Air MicrobiologySoil MicrobiologyAnimalsEcosystemHumansModels, TheoreticalSeawater

Identifiers

PMID27022995
PMCPMC5113837

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.