Evidence map›Paper›PMID 31163637›Full record

ArticleGenes2019

Effect of Long-Term Farming Practices on Agricultural Soil Microbiome Members Represented by Metagenomically Assembled Genomes (MAGs) and Their Predicted Plant-Beneficial Genes.

Johanna Nelkner, Christian Henke, Timo Wentong Lin, Wiebke Pätzold, Julia Hassa, Sebastian Jaenicke, Rita Grosch, Alfred Pühler, Alexander Sczyrba, Andreas Schlüter

Open access · goldAbstract read
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
13.1field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

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  20. The novel oligopeptide utilizing speciesFrontiers in microbiology · 2022
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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

10 authors at 3 institutions in 1 country.

Johanna NelknerCenter for Biotechnology (CeBiTec), Bielefeld University, Genome Research of Industrial Microorganisms, Universitätsstraße 27, 33615 Bielefeld, Germany. jnelkner@cebitec.uni-bielefeld.de.ORCID 0000-0001-9441-0403
Christian HenkeCenter for Biotechnology (CeBiTec), Bielefeld University, Computational Metagenomics Group, Universitätsstraße 27, 33615 Bielefeld, Germany. christian@cebitec.uni-bielefeld.de.ORCID 0000-0002-2912-4950
Timo Wentong LinCenter for Biotechnology (CeBiTec), Bielefeld University, Genome Research of Industrial Microorganisms, Universitätsstraße 27, 33615 Bielefeld, Germany. tlin@cebitec.uni-bielefeld.de.
Wiebke PätzoldCenter for Biotechnology (CeBiTec), Bielefeld University, Computational Metagenomics Group, Universitätsstraße 27, 33615 Bielefeld, Germany. WiebkePaetzold@gmx.de.
Julia HassaCenter for Biotechnology (CeBiTec), Bielefeld University, Genome Research of Industrial Microorganisms, Universitätsstraße 27, 33615 Bielefeld, Germany. jhassa@cebitec.uni-bielefeld.de.
Sebastian JaenickeJustus-Liebig-University Gießen, Bioinformatics & Systems Biology, Heinrich-Buff-Ring 58, 35392 Gießen, Germany. Sebastian.Jaenicke@computational.bio.uni-giessen.de.
Rita GroschLeibniz-Institute of Vegetable and Ornamental Crops (IGZ) Großbeeren/Erfurt eV, Theodor-Echtermeyer-Weg 1, 14979 Großbeeren, Germany. Grosch@igzev.de.ORCID 0000-0002-7179-5715
Alfred PühlerCenter for Biotechnology (CeBiTec), Bielefeld University, Genome Research of Industrial Microorganisms, Universitätsstraße 27, 33615 Bielefeld, Germany. puehler@cebitec.uni-bielefeld.de.
Alexander SczyrbaCenter for Biotechnology (CeBiTec), Bielefeld University, Computational Metagenomics Group, Universitätsstraße 27, 33615 Bielefeld, Germany. asczyrba@cebitec.uni-bielefeld.de.ORCID 0000-0002-4405-3847
Andreas SchlüterCenter for Biotechnology (CeBiTec), Bielefeld University, Genome Research of Industrial Microorganisms, Universitätsstraße 27, 33615 Bielefeld, Germany. aschluet@CeBiTec.Uni-Bielefeld.DE.ORCID 0000-0003-4830-310X
Bielefeld University · DEJustus-Liebig-Universität Gießen · DELeibniz Institute of Vegetable and Ornamental Crops · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To follow the hypothesis that agricultural management practices affect structure and function of the soil microbiome regarding soil health and plant-beneficial traits, high-throughput (HT) metagenome analyses were performed on Chernozem soil samples from a long-term field experiment designated LTE-1 carried out at Bernburg-Strenzfeld (Saxony-Anhalt, Germany). Metagenomic DNA was extracted from soil samples representing the following treatments: (i) plough tillage with standard nitrogen fertilization and use of fungicides and growth regulators, (ii) plough tillage with reduced nitrogen fertilization (50%), (iii) cultivator tillage with standard nitrogen fertilization and use of fungicides and growth regulators, and (iv) cultivator tillage with reduced nitrogen fertilization (50%). Bulk soil (BS), as well as root-affected soil (RS), were considered for all treatments in replicates. HT-sequencing of metagenomic DNA yielded approx. 100 Giga bases (Gb) of sequence information. Taxonomic profiling of soil communities revealed the presence of 70 phyla, whereby

Indexed as

AgricultureSoil MicrobiologyActinobacteriaAmmoniaArchaeaBacteriaBacteroidetesGermanyHumansMetagenomePhylogenyProteobacteriaAmmoniabiocontrolcarbohydrate-active enzymescarbon dioxide fixationdifferentially abundant features (DAFs)metagenomically-assembled-genomes (MAGs)metagenomic binningplant–growth–promotion (PGP)secondary metabolite synthesissoil microbiomesuppressive soil

Identifiers

PMID31163637
PMCPMC6627896
OpenAlexW2946862318

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.