Evidence map›Paper›PMID 30143799›Full record

ReviewNature microbiology2018

Understanding how microbiomes influence the systems they inhabit.

Ed K Hall, Emily S Bernhardt, Raven L Bier, Mark A Bradford, Claudia M Boot, James B Cotner, Paul A Del Giorgio, Sarah E Evans, Emily B Graham, Stuart E Jones and 8 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Microbial ecology of shallow groundwater ecosystems.Nature reviews. Microbiology · 2026
    Review
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  4. Review
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  15. Limiting Resources Define the Global Pattern of Soil Microbial Carbon Use Efficiency.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

11 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

18 authors.

Ed K HallColorado State University, Fort Collins, CO, USA. ed.hall@colostate.edu.
Emily S BernhardtDuke University, Durham, NC, USA.
Raven L BierDuke University, Durham, NC, USA.
Mark A BradfordYale University, School of Forestry and Environmental Studies, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-2022-8331
Claudia M BootColorado State University, Fort Collins, CO, USA.ORCID http://orcid.org/0000-0002-1487-242X
James B CotnerUniversity of Minnesota, Saint Paul, MN, USA.
Paul A Del GiorgioUniversité du Québec à Montréal, Montréal, Quebec, Canada.
Sarah E EvansMichigan State University, Hickory Corners, MI, USA.
Emily B GrahamInstitute of Arctic and Alpine Research, University of Colorado at Boulder, Boulder, CO, USA.ORCID http://orcid.org/0000-0002-4623-7076
Stuart E JonesUniversity of Notre Dame, South Bend, IN, USA.
Jay T LennonIndiana University, Bloomington, IN, USA.ORCID http://orcid.org/0000-0003-3126-6111
Kenneth J LoceyIndiana University, Bloomington, IN, USA.
Diana NemergutDuke University, Durham, NC, USA.
Brooke B OsborneBrown University, Providence, RI, USA.
Jennifer D RoccaColorado State University, Fort Collins, CO, USA.ORCID http://orcid.org/0000-0002-2973-3860
Joshua P SchimelUniversity of California, Santa Barbara, Santa Barbara, CA, USA.
Mark P WaldropUS Geological Survey, Menlo Park, CA, USA.
Matthew D WallensteinColorado State University, Fort Collins, CO, USA.ORCID http://orcid.org/0000-0002-6219-1442

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Translating the ever-increasing wealth of information on microbiomes (environment, host or built environment) to advance our understanding of system-level processes is proving to be an exceptional research challenge. One reason for this challenge is that relationships between characteristics of microbiomes and the system-level processes that they influence are often evaluated in the absence of a robust conceptual framework and reported without elucidating the underlying causal mechanisms. The reliance on correlative approaches limits the potential to expand the inference of a single relationship to additional systems and advance the field. We propose that research focused on how microbiomes influence the systems they inhabit should work within a common framework and target known microbial processes that contribute to the system-level processes of interest. Here, we identify three distinct categories of microbiome characteristics (microbial processes, microbial community properties and microbial membership) and propose a framework to empirically link each of these categories to each other and the broader system-level processes that they affect. We posit that it is particularly important to distinguish microbial community properties that can be predicted using constituent taxa (community-aggregated traits) from those properties that cannot currently be predicted using constituent taxa (emergent properties). Existing methods in microbial ecology can be applied to more explicitly elucidate properties within each of these three categories of microbial characteristics and connect them with each other. We view this proposed framework, gleaned from a breadth of research on environmental microbiomes and ecosystem processes, as a promising pathway with the potential to advance discovery and understanding across a broad range of microbiome science.

Indexed as

EcosystemBacteriaMicrobiota

Identifiers

What OpenQuestion holds

Textmetadata
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.