Evidence map›Paper›PMID 26370112›Full record

ArticleMicrobial ecology2016

Soil Parameters Drive the Structure, Diversity and Metabolic Potentials of the Bacterial Communities Across Temperate Beech Forest Soil Sequences.

M Jeanbille, M Buée, C Bach, A Cébron, P Frey-Klett, M P Turpault, S Uroz

Abstract read
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In one paragraph

Article in Microbial ecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
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  9. Article
  10. Reforestation ofFrontiers in microbiology · 2024
    Article
  11. Article
  12. Fungal-Bacterial Networks in the Habitat of SongRong (Journal of fungi (Basel, Switzerland) · 2022
    Article
  13. Article
  14. Article
  15. Article
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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

7 authors.

M JeanbilleINRA, UMR1136 Interactions Arbres-Microorganismes, Champenoux, 54280, France.
M BuéeINRA, UMR1136 Interactions Arbres-Microorganismes, Champenoux, 54280, France.
C BachINRA, UMR1136 Interactions Arbres-Microorganismes, Champenoux, 54280, France.
A CébronINRA UR 1138 "Biogéochimie des Ecosystèmes Forestiers", Centre INRA de Nancy, Champenoux, France.
P Frey-KlettINRA, UMR1136 Interactions Arbres-Microorganismes, Champenoux, 54280, France.
M P TurpaultUniversité de Lorraine, UMR1136 Interactions Arbres-Microorganismes, Vandoeuvre-lès-Nancy, 54500, France.
S UrozINRA, UMR1136 Interactions Arbres-Microorganismes, Champenoux, 54280, France. uroz@nancy.inra.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil and climatic conditions as well as land cover and land management have been shown to strongly impact the structure and diversity of the soil bacterial communities. Here, we addressed under a same land cover the potential effect of the edaphic parameters on the soil bacterial communities, excluding potential confounding factors as climate. To do this, we characterized two natural soil sequences occurring in the Montiers experimental site. Spatially distant soil samples were collected below Fagus sylvatica tree stands to assess the effect of soil sequences on the edaphic parameters, as well as the structure and diversity of the bacterial communities. Soil analyses revealed that the two soil sequences were characterized by higher pH and calcium and magnesium contents in the lower plots. Metabolic assays based on Biolog Ecoplates highlighted higher intensity and richness in usable carbon substrates in the lower plots than in the middle and upper plots, although no significant differences occurred in the abundance of bacterial and fungal communities along the soil sequences as assessed using quantitative PCR. Pyrosequencing analysis of 16S ribosomal RNA (rRNA) gene amplicons revealed that Proteobacteria, Acidobacteria and Bacteroidetes were the most abundantly represented phyla. Acidobacteria, Proteobacteria and Chlamydiae were significantly enriched in the most acidic and nutrient-poor soils compared to the Bacteroidetes, which were significantly enriched in the soils presenting the higher pH and nutrient contents. Interestingly, aluminium, nitrogen, calcium, nutrient availability and pH appeared to be the best predictors of the bacterial community structures along the soil sequences.

Indexed as

BiodiversitySoil MicrobiologyBacteriaCarbonFagusNitrogenSoilTreesCarbonNitrogenSoilBacterial communitiesFagus sylvaticaForest soilNutrient availabilitySoil pHSoil type

Identifiers

What OpenQuestion holds

Textmetadata
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.