Evidence map›Paper›PMID 31471542›Full record

ArticleScientific data2019

Bacterial succession along a sediment porewater gradient at Lake Neusiedl in Austria.

Avril Jean Elisabeth von Hoyningen-Huene, Dominik Schneider, Dario Fussmann, Andreas Reimer, Gernot Arp, Rolf Daniel

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. A Genome-Wide Screening of Novel Immunogenic TrLSDV103 Protein of Lumpy Skin Disease Virus and Its Application for DIVA.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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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

6 authors at 1 institution in 1 country.

Avril Jean Elisabeth von Hoyningen-HueneGenomic and Applied Microbiology and Göttingen Genomics Laboratory, Institute of Microbiology and Genetics, Georg-August-University Göttingen, Göttingen, Germany.ORCID http://orcid.org/0000-0002-1928-3560
Dominik SchneiderGenomic and Applied Microbiology and Göttingen Genomics Laboratory, Institute of Microbiology and Genetics, Georg-August-University Göttingen, Göttingen, Germany.ORCID http://orcid.org/0000-0002-1134-5026
Dario FussmannGeobiology, Faculty of Geosciences and Geography, Georg-August-University Göttingen, Göttingen, Germany.
Andreas ReimerGeobiology, Faculty of Geosciences and Geography, Georg-August-University Göttingen, Göttingen, Germany.
Gernot ArpGeobiology, Faculty of Geosciences and Geography, Georg-August-University Göttingen, Göttingen, Germany.ORCID http://orcid.org/0000-0002-0968-7916
Rolf DanielGenomic and Applied Microbiology and Göttingen Genomics Laboratory, Institute of Microbiology and Genetics, Georg-August-University Göttingen, Göttingen, Germany. rdaniel@gwdg.de.ORCID http://orcid.org/0000-0002-8646-7925
University of Göttingen · DE

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) AR 335/8-1Deutsche Forschungsgemeinschaft (German Research Foundation) DA 374/11-1
6 · The paper itself

Abstract

We provide bacterial 16S rRNA community and hydrochemical data from water and sediments of Lake Neusiedl, Austria. The sediments were retrieved at 5 cm intervals from 30-40 cm push cores. The lake water community was recovered by filtration through a 3.0/0.2 µm filter sandwich. For 16S rRNA gene amplicon-based community profiling, DNA was extracted from the sediment and filters and the bacterial V3-V4 regions were amplified and sequenced using a MiSeq instrument (Illumina). The reads were quality-filtered and processed using open source bioinformatic tools, such as PEAR, cutadapt and VSEARCH. The taxonomy was assigned against the SILVA SSU NR 132 database. The bacterial community structure was visualised in relation to water and porewater chemistry data. The bacterial community in the water column is distinct from the sediment. The most abundant phyla in the sediment shift from Proteobacteria to Chloroflexota (formerly Chloroflexi). Ammonium and total alkalinity increase while sulphate concentrations in the porewater decrease. The provided data are of interest for studies targeting biogeochemical cycling in lake sediments.

Indexed as

Geologic SedimentsAustriaBacteriaDNA, BacterialLakesPhylogenyRNA, Ribosomal, 16SWater MicrobiologyDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID31471542
PMCPMC6717209
OpenAlexW2956187791

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.