Evidence map›Paper›PMID 32694128›Full record

ArticlemSystems2020

Soil Bacterial Communities Exhibit Strong Biogeographic Patterns at Fine Taxonomic Resolution.

Sean K Bay, Melodie A McGeoch, Osnat Gillor, Nimrod Wieler, David J Palmer, David J Baker, Steven L Chown, Chris Greening

Abstract read
In one paragraph

Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  5. The microbiome associated withJournal of nematology · 2025
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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

8 authors.

Sean K BaySchool of Biological Sciences, Monash University, Clayton, VIC, Australia sean.bay@monash.edu chris.greening@monash.edu.
Melodie A McGeochSchool of Biological Sciences, Monash University, Clayton, VIC, Australia.
Osnat GillorZuckerberg Institute for Water Research, Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Sde Boker, Israel.
Nimrod WielerZuckerberg Institute for Water Research, Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Sde Boker, Israel.
David J PalmerSchool of Biological Sciences, Monash University, Clayton, VIC, Australia.
David J BakerSchool of Biological Sciences, Monash University, Clayton, VIC, Australia.
Steven L ChownSchool of Biological Sciences, Monash University, Clayton, VIC, Australia.
Chris GreeningSchool of Biological Sciences, Monash University, Clayton, VIC, Australia sean.bay@monash.edu chris.greening@monash.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria have been inferred to exhibit relatively weak biogeographic patterns. To what extent such findings reflect true biological phenomena or methodological artifacts remains unclear. Here, we addressed this question by analyzing the turnover of soil bacterial communities from three data sets. We applied three methodological innovations: (i) design of a hierarchical sampling scheme to disentangle environmental from spatial factors driving turnover; (ii) resolution of 16S rRNA gene amplicon sequence variants to enable higher-resolution community profiling; and (iii) application of the new metric zeta diversity to analyze multisite turnover and drivers. At fine taxonomic resolution, rapid compositional turnover was observed across multiple spatial scales. Turnover was overwhelmingly driven by deterministic processes and influenced by the rare biosphere. The communities also exhibited strong distance decay patterns and taxon-area relationships, with

Indexed as

biogeographydesertsoil bacteriaturnoverzeta diversity

Identifiers

PMID32694128
PMCPMC7566276

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Registered trials

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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.