Evidence map›Paper›PMID 26636552›Full record

ArticleThe ISME journal2016

Microbial communities reflect temporal changes in cyanobacterial composition in a shallow ephemeral freshwater lake.

Jason Nicholas Woodhouse, Andrew Stephen Kinsela, Richard Nicholas Collins, Lee Chester Bowling, Gordon L Honeyman, Jon K Holliday, Brett Anthony Neilan

Abstract read
In one paragraph

Article in The ISME journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. Article
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  8. Ecology and evolution · 2025
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  16. Article
  17. Coexistence ofEnvironmental science & technology · 2023
    Article
  18. Article
  19. Article
  20. Article

8 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

7 authors.

Jason Nicholas WoodhouseSchool of Biotechnology and Biomolecular Sciences, UNSW Australia, Sydney, New South Wales, Australia.
Andrew Stephen KinselaUNSW Water Research Centre and School of Civil and Environmental Engineering, UNSW Australia, Sydney, New South Wales, Australia.
Richard Nicholas CollinsUNSW Water Research Centre and School of Civil and Environmental Engineering, UNSW Australia, Sydney, New South Wales, Australia.
Lee Chester BowlingOffice of Water, NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Menangle, New South Wales, Australia.
Gordon L HoneymanOffice of Water, NSW Department of Primary Industries, Hay, New South Wales, Australia.
Jon K HollidayOffice of Water, NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Menangle, New South Wales, Australia.
Brett Anthony NeilanSchool of Biotechnology and Biomolecular Sciences, UNSW Australia, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The frequency of freshwater cyanobacterial blooms is at risk of increasing as a consequence of climate change and eutrophication of waterways. It is increasingly apparent that abiotic data are insufficient to explain variability within the cyanobacterial community, with biotic factors such as heterotrophic bacterioplankton, viruses and protists emerging as critical drivers. During the Australian summer of 2012-2013, a bloom that occurred in a shallow ephemeral lake over a 6-month period was comprised of 22 distinct cyanobacteria, including Microcystis, Dolichospermum, Oscillatoria and Sphaerospermopsis. Cyanobacterial cell densities, bacterial community composition and abiotic parameters were assessed over this period. Alpha-diversity indices and multivariate analysis were successful at differentiating three distinct bloom phases and the contribution of abiotic parameters to each. Network analysis, assessing correlations between biotic and abiotic variables, reproduced these phases and assessed the relative importance of both abiotic and biotic factors. Variables possessing elevated betweeness centrality included temperature, sodium and operational taxonomic units belonging to the phyla Verrucomicrobia, Planctomyces, Bacteroidetes and Actinobacteria. Species-specific associations between cyanobacteria and bacterioplankton, including the free-living Actinobacteria acI, Bacteroidetes, Betaproteobacteria and Verrucomicrobia, were also identified. We concluded that changes in the abundance and nature of freshwater cyanobacteria are associated with changes in the diversity and composition of lake bacterioplankton. Given this, an increase in the frequency of cyanobacteria blooms has the potential to alter nutrient cycling and contribute to long-term functional perturbation of freshwater systems.

Indexed as

BiodiversityMicrobial ConsortiaAustraliaBacteriaClimate ChangeCyanobacteriaEutrophicationFresh WaterLakesPlanktonSeasonsSpecies SpecificityWater Microbiology

Identifiers

PMID26636552
PMCPMC5029192

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.