Evidence map›Paper›PMID 31705005›Full record

ArticleScientific reports2019

Niche partitioning of microbial communities in riverine floodplains.

Marc Peipoch, Scott R Miller, Tiago R Antao, H Maurice Valett

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Site Specialization of Human OralMicrobiology spectrum · 2023
    Article
  5. Dynamics of bacterial and archaeal communities along the composting of tannery sludge.Environmental science and pollution research international · 2021
    Article
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

4 authors.

Marc PeipochStroud Water Research Center, Avondale, PA, USA. mpeipoch@stroudcenter.org.ORCID http://orcid.org/0000-0002-5943-831X
Scott R MillerDivision of Biological Sciences, University of Montana, Missoula, MT, USA.
Tiago R AntaoDivision of Biological Sciences, University of Montana, Missoula, MT, USA.
H Maurice ValettDivision of Biological Sciences, University of Montana, Missoula, MT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Riverine floodplains exhibit high floral and faunal diversity as a consequence of their biophysical complexity. Extension of such niche partitioning processes to microbial communities is far less resolved or supported. Here, we evaluated the responses of aquatic biofilms diversity to environmental gradients across ten riverine floodplains with differing degrees of flow alteration and habitat diversity to assess whether complex floodplains support biofilm communities with greater biodiversity and species interactions. No significant evidence was found to support a central role for habitat diversity in promoting microbial diversity across 116 samples derived from 62 aquatic habitats, as neither α (H': 2.8-4.1) nor β (Sørensen: 0.3-0.39) diversity were positively related to floodplain complexity across the ten floodplains. In contrast, our results documented the sensitivity of biofilm communities to regional templates manifested as gradients of carbon, nitrogen, and phosphorous availability. Large-scale conditions reflecting nitrogen limitation increased the relative abundance of N-fixing cyanobacteria (up to 0.34 as fraction of total reads), constrained the total number of interactions among bacterial taxa, and reinforced negative over positive interactions, generating unique microbial communities and networks that reflect large-scale species sorting in response to regional geochemical gradients.

Indexed as

EcosystemMicrobiotaBiodiversityBiofilmsCarbonMontanaNitrogenPhosphorusRiversWetlandsCarbonNitrogenPhosphorus

Identifiers

PMID31705005
PMCPMC6841707

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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.