Evidence map›Paper›PMID 32461582›Full record

ArticleScientific data2020

A novel real-world ecotoxicological dataset of pelagic microbial community responses to wastewater.

J E Ruprecht, W C Glamore, K A Dafforn, F Wemheuer, S L Crane, J van Dorst, E L Johnston, S M Mitrovic, I L Turner, B C Ferrari and 1 more

Open access · goldAbstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 3 institutions in 1 country.

J E RuprechtWater Research Laboratory, School of Civil & Environmental Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia. j.ruprecht@wrl.unsw.edu.au.
W C GlamoreWater Research Laboratory, School of Civil & Environmental Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia.
K A DaffornEvolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.ORCID http://orcid.org/0000-0001-8848-377X
F WemheuerEvolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
S L CraneFerrari Lab, School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
J van DorstFerrari Lab, School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
E L JohnstonEvolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
S M MitrovicFreshwater and Estuarine Research Group, School of Life Sciences, University of Technology Sydney, Ultimo, 2007, NSW, Australia.
I L TurnerWater Research Laboratory, School of Civil & Environmental Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia.ORCID http://orcid.org/0000-0001-9884-6917
B C FerrariFerrari Lab, School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.ORCID http://orcid.org/0000-0001-5043-3726
S C BirrerEvolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
UNSW Sydney · AUSydney Water · AUUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-world observational datasets that record and quantify pressure-stressor-response linkages between effluent discharges and natural aquatic systems are rare. With global wastewater volumes increasing at unprecedented rates, it is urgent that the present dataset is available to provide the necessary information about microbial community structure and functioning. Field studies were performed at two time-points in the Austral summer. Single-species and microbial community whole effluent toxicity (WET) testing was performed at a complete range of effluent concentrations and two salinities, with accompanying environmental data to provide new insights into nutrient and organic matter cycling, and to identify ecotoxicological tipping points. The two salinity regimes were chosen to investigate future scenarios based on a predicted salinity increase at the study site, typical of coastal regions with rising sea levels globally. Flow cytometry, amplicon sequencing of 16S and 18S rRNA genes and micro-fluidic quantitative polymerase-chain reactions (MFQPCR) were used to determine chlorophyll-a and total bacterial cell numbers and size, as well as taxonomic and functional diversity of pelagic microbial communities. This strong pilot dataset could be replicated in other regions globally and would be of high value to scientists and engineers to support the next advances in microbial ecotoxicology, environmental biomonitoring and estuarine water quality modelling.

Indexed as

BacteriaEcotoxicologyMicrobiotaSalinityWastewaterWastewater

Identifiers

PMID32461582
PMCPMC7253417
OpenAlexW3030156175

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.