Evidence map›Paper›PMID 29976643›Full record

ArticlemSphere2018

Taxon-Driven Functional Shifts Associated with Storm Flow in an Urban Stream Microbial Community.

Adit Chaudhary, Imrose Kauser, Anirban Ray, Rachel Poretsky

Abstract read
In one paragraph

Article in mSphere, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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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

4 authors.

Adit ChaudharyDepartment of Biological Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.
Imrose KauserDepartment of Biological Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.
Anirban RayDepartment of Biological Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.
Rachel PoretskyDepartment of Biological Sciences, University of Illinois at Chicago, Chicago, Illinois, USA microbe@uic.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban streams are susceptible to stormwater and sewage inputs that can impact their ecological health and water quality. Microbial communities in streams play important functional roles, and their composition and metabolic potential can help assess ecological state and water quality. Although these environments are highly heterogenous, little is known about the influence of isolated perturbations, such as those resulting from rain events on urban stream microbiota. Here, we examined the microbial community composition and diversity in an urban stream during dry and wet weather conditions with both 16S rRNA gene sequencing across multiple years and shotgun metagenomics to more deeply analyze a single storm flow event. Metagenomics was used to assess population-level dynamics as well as shifts in the microbial community taxonomic profile and functional potential before and after a substantial rainfall. The results demonstrated general trends present in the stream under storm flow versus base flow conditions and also highlighted the influence of increased effluent flow following rain in shifting the stream microbial community from abundant freshwater taxa to those more associated with urban/anthropogenic settings. Shifts in the taxonomic composition were also linked to changes in functional gene content, particularly for transmembrane transport and organic substance biosynthesis. We also observed an increase in relative abundance of genes encoding degradation of organic pollutants and antibiotic resistance after rain. Overall, this study highlighted some differences in the microbial community of an urban stream under storm flow conditions and showed the impact of a storm flow event on the microbiome from an environmental and public health perspective.

Indexed as

BiotaCyclonic StormsChicagoCluster AnalysisDNA, RibosomalMetagenomicsRiversRNA, Ribosomal, 16SSequence Analysis, DNADNA, RibosomalRNA, Ribosomal, 16Smetagenomicsmicrobial communitiesstorm flowurban streams

Identifiers

PMID29976643
PMCPMC6034075

What OpenQuestion holds

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LicenceCC BY
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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.