Evidence map›Paper›PMID 29213260›Full record

ArticleFrontiers in microbiology2017

Increased Denitrification Rates Associated with Shifts in Prokaryotic Community Composition Caused by Varying Hydrologic Connectivity.

Abigail Tomasek, Christopher Staley, Ping Wang, Thomas Kaiser, Nicole Lurndahl, Jessica L Kozarek, Miki Hondzo, Michael J Sadowsky

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

8 authors.

Abigail TomasekSt. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, United States.
Christopher StaleyBioTechnology Institute, University of Minnesota, St. Paul, MN, United States.
Ping WangBioTechnology Institute, University of Minnesota, St. Paul, MN, United States.
Thomas KaiserBioTechnology Institute, University of Minnesota, St. Paul, MN, United States.
Nicole LurndahlWater Resources Science, University of Minnesota, St. Paul, MN, United States.
Jessica L KozarekSt. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, United States.
Miki HondzoSt. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, United States.
Michael J SadowskyBioTechnology Institute, University of Minnesota, St. Paul, MN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While modern developments in agriculture have allowed for increases in crop yields and rapid human population growth, they have also drastically altered biogeochemical cycles, including the biotransformation of nitrogen. Denitrification is a critical process performed by bacteria and fungi that removes nitrate in surface waters, thereby serving as a potential natural remediation strategy. We previously reported that constant inundation resulted in a coupling of denitrification gene abundances with denitrification rates in sediments, but these relationships were not maintained in periodically-inundated or non-inundated environments. In this study, we utilized Illumina next-generation sequencing to further evaluate how the microbial community responds to these hydrologic regimes and how this community is related to denitrification rates at three sites along a creek in an agricultural watershed over 2 years. The hydrologic connectivity of the sampling location had a significantly greater influence on the denitrification rate (

Indexed as

bacterial community structuredenitrificationhydrologyqPCRsequencingsoil

Identifiers

PMID29213260
PMCPMC5702768

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.