Evidence map›Paper›PMID 33902732›Full record

ArticleEnvironmental microbiome2019

Reduced microbial potential for the degradation of phenolic compounds in the rhizosphere of apple plantlets grown in soils affected by replant disease.

Viviane Radl, Jana Barbro Winkler, Susanne Kublik, Luhua Yang, Traud Winkelmann, Gisle Vestergaard, Peter Schröder, Michael Schloter

Open access · goldAbstract read
In one paragraph

Article in Environmental microbiome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

22 citing papers in PubMed, 48 citations in OpenAlex.

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  8. A Comprehensive Review of Phenolic Compounds in Horticultural Plants.International journal of molecular sciences · 2025
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  10. Via Air or Rhizosphere: The Phytotoxicity ofPlants (Basel, Switzerland) · 2025
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  13. (Pan)genomic analysis of twoMicrobiology spectrum · 2024
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  14. Review
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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 at 3 institutions in 2 countries.

Viviane RadlResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Munich, Germany. viviane.radl@helmholtz-muenchen.de.
Jana Barbro WinklerResearch Unit Environmental Simulations, Helmholtz Zentrum München, Munich, Germany.
Susanne KublikResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Munich, Germany.
Luhua YangResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Munich, Germany.
Traud WinkelmannWoody Plant and Propagation Physiology Section, Institute of Horticultural Production Systems, Leibniz Universität Hannover, Hanover, Germany.
Gisle VestergaardResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Munich, Germany.
Peter SchröderResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Munich, Germany.
Michael SchloterResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Munich, Germany.
Helmholtz Zentrum München · DELeibniz University Hannover · DETechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApple replant disease (ARD) is a syndrome that occurs in areas where apple plants or closely related species have been previously cultivated. Even though ARD is a well-known phenomenon, which has been observed in different regions worldwide and occurs independent of the soil type, its causes still remain unclear.

resultsAs expected, the biomass of plants grown in replant soil was significantly lower compared to those grown in control (virgin) soil. A shotgun metagenome analysis showed a clear differentiation between the rhizosphere and bulk soil compartments independent from the soil used. However, significant differences associated with apple replant disease were only observed in the rhizosphere compartment, for which we detected changes in the abundance of major bacterial genera. Interestingly, reads assigned to Actinobacteria were significantly reduced in relative abundance in rhizosphere samples of the soil affected by replant disease. Even though reads assigned to pathogenic fungi were detected, their relative abundance was low and did not differ significantly between the two different soils. Differences in microbiome structure also resulted in shifts in functional pattern. We observed an increase in genes related to stress sensing in the rhizosphere of soils affected by replant disease, whereas genes linked to nutrient sensing and uptake dominated in control soils. Moreover, we observed a lower abundance of genes coding for enzymes which trigger the degradation of aromatic compounds in rhizosphere of soils affected by replant disease, which is probably connected with higher concentration of phenolic compounds, generally associated with disease progression.

conclusionsOur study shows, for the first time, how apple replanting affects soil functioning by altering the soil microbiome. Particularly, the decrease in the abundance of genes which code for enzymes catalyzing the degradation of aromatic compounds, observed in the rhizosphere of plants grown in soil affected by apple replant disease, is of interest. Apple rootstocks are known to synthetize many phenolic compounds, including defense related phytoalexins, which have been considered for long to be connected with the emergence of replant disease. The knowledge gained in this study might help to develop targeted strategies to overcome or at least reduce the effects of ARD symptoms.

Indexed as

Apple replant diseaseMalus domesticaMetagenomeMicrobiomeRhizosphere

Identifiers

PMID33902732
PMCPMC8204438
OpenAlexW2988779612

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.