Evidence map›Paper›PMID 29021219›Full record

ReviewMicrobiology and molecular biology reviews : MMBR2017

Stochastic Community Assembly: Does It Matter in Microbial Ecology?

Jizhong Zhou, Daliang Ning

Abstract readReview
In one paragraph

Review in Microbiology and molecular biology reviews : MMBR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 869 papers.

0numbers the graph read from it
0cells of the map it votes in
869citing 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

869 citing papers in PubMed.

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809 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

2 authors.

Jizhong ZhouInstitute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, Oklahoma, USA jzhou@ou.edu.
Daliang NingInstitute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, Oklahoma, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the mechanisms controlling community diversity, functions, succession, and biogeography is a central, but poorly understood, topic in ecology, particularly in microbial ecology. Although stochastic processes are believed to play nonnegligible roles in shaping community structure, their importance relative to deterministic processes is hotly debated. The importance of ecological stochasticity in shaping microbial community structure is far less appreciated. Some of the main reasons for such heavy debates are the difficulty in defining stochasticity and the diverse methods used for delineating stochasticity. Here, we provide a critical review and synthesis of data from the most recent studies on stochastic community assembly in microbial ecology. We then describe both stochastic and deterministic components embedded in various ecological processes, including selection, dispersal, diversification, and drift. We also describe different approaches for inferring stochasticity from observational diversity patterns and highlight experimental approaches for delineating ecological stochasticity in microbial communities. In addition, we highlight research challenges, gaps, and future directions for microbial community assembly research.

Indexed as

Microbial ConsortiaStochastic ProcessesAnimalsEcologyHumansModels, TheoreticalMultivariate Analysiscommunity assemblyecological driftecological processesecological stochasticitymicrobial communities

Identifiers

PMID29021219
PMCPMC5706748

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.