Evidence map›Paper›PMID 36846788›Full record

ArticleFrontiers in microbiology2023

Spatio-temporal connectivity of the aquatic microbiome associated with cyanobacterial blooms along a Great Lake riverine-lacustrine continuum.

Sophie Crevecoeur, Thomas A Edge, Linet Cynthia Watson, Susan B Watson, Charles W Greer, Jan J H Ciborowski, Ngan Diep, Alice Dove, Kenneth G Drouillard, Thijs Frenken and 3 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

13 authors.

Sophie CrevecoeurWatershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, Burlington, ON, Canada.
Thomas A EdgeDepartment of Biology, McMaster University, Hamilton, ON, Canada.
Linet Cynthia WatsonWatershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, Burlington, ON, Canada.
Susan B WatsonDepartment of Biology, Trent University, Peterborough, ON, Canada.
Charles W GreerEnergy, Mining and Environment, National Research Council of Canada, Montreal, QC, Canada.
Jan J H CiborowskiDepartment of Integrative Biology, University of Windsor, Windsor, ON, Canada.
Ngan DiepOntario Ministry of the Environment, Conservation and Parks, Environmental Monitoring and Reporting Branch, Etobicoke, ON, Canada.
Alice DoveWatershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, Burlington, ON, Canada.
Kenneth G DrouillardGreat Lakes Institute for Environmental Research, University of Windsor, Windsor, ON, Canada.
Thijs FrenkenGreat Lakes Institute for Environmental Research, University of Windsor, Windsor, ON, Canada.
Robert Michael McKayGreat Lakes Institute for Environmental Research, University of Windsor, Windsor, ON, Canada.
Arthur ZastepaWatershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, Burlington, ON, Canada.
Jérôme ComteCentre Eau Terre Environnement, Institut National de la Recherche Scientifique, Quebec City, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lake Erie is subject to recurring events of cyanobacterial harmful algal blooms (cHABs), but measures of nutrients and total phytoplankton biomass seem to be poor predictors of cHABs when taken individually. A more integrated approach at the watershed scale may improve our understanding of the conditions that lead to bloom formation, such as assessing the physico-chemical and biological factors that influence the lake microbial community, as well as identifying the linkages between Lake Erie and the surrounding watershed. Within the scope of the Government of Canada's Genomics Research and Development Initiative (GRDI) Ecobiomics project, we used high-throughput sequencing of the 16S rRNA gene to characterize the spatio-temporal variability of the aquatic microbiome in the Thames River-Lake St. Clair-Detroit River-Lake Erie aquatic corridor. We found that the aquatic microbiome was structured along the flow path and influenced mainly by higher nutrient concentrations in the Thames River, and higher temperature and pH downstream in Lake St. Clair and Lake Erie. The same dominant bacterial phyla were detected along the water continuum, changing only in relative abundance. At finer taxonomical level, however, there was a clear shift in the cyanobacterial community, with

Indexed as

aquatic microbiomecyanobacteriagenetic connectivityharmful algal bloomsLake Erie watershed

Identifiers

PMID36846788
PMCPMC9947797

What OpenQuestion holds

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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.