Evidence map›Paper›PMID 28851878›Full record

ArticleScientific reports2017

Taxonomic and functional shifts in the beech rhizosphere microbiome across a natural soil toposequence.

Y Colin, O Nicolitch, J D Van Nostrand, J Z Zhou, M-P Turpault, S Uroz

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. DecodingApplied and environmental microbiology · 2025
    Article
  3. Genomic and phenotypic profiling of anFrontiers in microbiology · 2025
    Article
  4. Draft genome sequence ofMicrobiology resource announcements · 2024
    Article
  5. Article
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  7. Article
  8. Article
  9. Article
  10. Colonization of Naive Roots fromApplied and environmental microbiology · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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.

Y ColinINRA, Université de Lorraine, UMR 1136 "Interactions Arbres Micro-organismes", Centre INRA de Nancy, 54280, Champenoux, France.
O NicolitchINRA, Université de Lorraine, UMR 1136 "Interactions Arbres Micro-organismes", Centre INRA de Nancy, 54280, Champenoux, France.ORCID 0000-0003-0225-7208
J D Van NostrandInstitute for Environmental Genomics, and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73072, USA.ORCID 0000-0001-9548-6450
J Z ZhouInstitute for Environmental Genomics, and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73072, USA.
M-P TurpaultINRA, Université de Lorraine, UMR 1136 "Interactions Arbres Micro-organismes", Centre INRA de Nancy, 54280, Champenoux, France.
S UrozINRA, Université de Lorraine, UMR 1136 "Interactions Arbres Micro-organismes", Centre INRA de Nancy, 54280, Champenoux, France. stephane.uroz@inra.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been rarely questioned as to whether the enrichment of specific bacterial taxa found in the rhizosphere of a given plant species changes with different soil types under field conditions and under similar climatic conditions. Understanding tree microbiome interactions is essential because, in contrast to annual plants, tree species require decades to grow and strongly depend on the nutritive resources of the soil. In this context, we tested using a natural toposequence the hypothesis that beech trees select specific taxa and functions in their rhizosphere based on the soil conditions and their nutritive requirements. Our 16S rRNA gene pyrosequencing analyses revealed that the soil type determines the taxa colonizing the beech rhizosphere. A rhizosphere effect was observed in each soil type, but a stronger effect was observed in the nutrient-poor soils. Although the communities varied significantly across the toposequence, we identified a core beech rhizosphere microbiome. Functionally, GeoChip analyses showed a functional redundancy across the toposequence, with genes related to nutrient cycling and to the bacterial immune system being significantly enriched in the rhizosphere. Altogether, the data suggest that, regardless of the soil conditions, trees enrich variable bacterial communities to maintain the functions necessary for their nutrition.

Indexed as

MicrobiotaRhizosphereSoil MicrobiologyCarbonMetagenomeMetagenomicsMicrobial InteractionsRNA, Ribosomal, 16SSecondary MetabolismCarbonRNA, Ribosomal, 16S

Identifiers

PMID28851878
PMCPMC5574896

What OpenQuestion holds

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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.