Evidence map›Paper›PMID 23267351›Full record

ArticleFrontiers in microbiology2012

Fundamentals of microbial community resistance and resilience.

Ashley Shade, Hannes Peter, Steven D Allison, Didier L Baho, Mercè Berga, Helmut Bürgmann, David H Huber, Silke Langenheder, Jay T Lennon, Jennifer B H Martiny and 3 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 623 papers.

0numbers the graph read from it
0cells of the map it votes in
623citing 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

623 citing papers in PubMed.

  1. Microbiome-Modulating Effects of Heat-TreatedJournal of microbiology and biotechnology · 2026
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563 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

13 authors.

Ashley ShadeDepartment of Molecular, Cellular and Developmental Biology, Yale University New Haven, CT, USA.
Hannes Peter
Steven D Allison
Didier L Baho
Mercè Berga
Helmut Bürgmann
David H Huber
Silke Langenheder
Jay T Lennon
Jennifer B H Martiny
Kristin L Matulich
Thomas M Schmidt
Jo Handelsman

Funding

Metagenetic analysis of microbial community behaviorRC1DK086831 · NIDDK · YALE UNIVERSITY · PI HANDELSMAN, JO E. · 2009 to 2010
$964k
NIDDK NIH HHS RC1 DK086831
6 · The paper itself

Abstract

Microbial communities are at the heart of all ecosystems, and yet microbial community behavior in disturbed environments remains difficult to measure and predict. Understanding the drivers of microbial community stability, including resistance (insensitivity to disturbance) and resilience (the rate of recovery after disturbance) is important for predicting community response to disturbance. Here, we provide an overview of the concepts of stability that are relevant for microbial communities. First, we highlight insights from ecology that are useful for defining and measuring stability. To determine whether general disturbance responses exist for microbial communities, we next examine representative studies from the literature that investigated community responses to press (long-term) and pulse (short-term) disturbances in a variety of habitats. Then we discuss the biological features of individual microorganisms, of microbial populations, and of microbial communities that may govern overall community stability. We conclude with thoughts about the unique insights that systems perspectives - informed by meta-omics data - may provide about microbial community stability.

Indexed as

community structuredisturbancemicrobial ecologyperturbationsensitivitystabilitystructure-functiontime series

Identifiers

PMID23267351
PMCPMC3525951

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.