Evidence map›Paper›PMID 24058578›Full record

ArticlePloS one2013

Temporal dynamics of abundance and composition of nitrogen-fixing communities across agricultural soils.

Michele C Pereira E Silva, Brigitte Schloter-Hai, Michael Schloter, Jan Dirk van Elsas, Joana Falcão Salles

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Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Introduction ofFrontiers in microbiology · 2025
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  14. Frontiers in microbiology · 2021
    Article
  15. Nitrogen Fertilization and Native CFrontiers in microbiology · 2021
    Article
  16. DiazotrophicApplied and environmental microbiology · 2020
    Article
  17. Article
  18. Frontiers in plant science · 2020
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Michele C Pereira E SilvaDepartment of Microbial Ecology, University of Groningen, Groningen, The Netherlands.
Brigitte Schloter-Hai
Michael Schloter
Jan Dirk van Elsas
Joana Falcão Salles

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the fact that the fixation of nitrogen is one of the most significant nutrient processes in the terrestrial ecosystem, a thorough study of the spatial and temporal patterns in the abundance and distribution of N-fixing communities has been missing so far. METHODOLOGY/PRINCIPAL

findingsIn order to understand the dynamics of diazotrophic communities and their resilience to external changes, we quantified the abundance and characterized the bacterial community structures based on the nifH gene, using real-time PCR, PCR-DGGE and 454-pyrosequencing, across four representative Dutch soils during one growing season. In general, higher nifH gene copy numbers were observed in soils with higher pH than in those with lower pH, but lower numbers were related to increased nitrate and ammonium levels. Results from nifH gene pyrosequencing confirmed the observed PCR-DGGE patterns, which indicated that the N fixers are highly dynamic across time, shifting around 60%. Forward selection on CCA analysis identified N availability as the main driver of these variations, as well as of the evenness of the communities, leading to very unequal communities. Moreover, deep sequencing of the nifH gene revealed that sandy soils (B and D) had the lowest percentage of shared OTUs across time, compared with clayey soils (G and K), indicating the presence of a community under constant change. Cosmopolitan nifH species (present throughout the season) were affiliated with Bradyrhizobium, Azospirillum and Methylocistis, whereas other species increased their abundances progressively over time, when appropriate conditions were met, as was notably the case for Paenibacilus and Burkholderia.

conclusionsOur study provides the first in-depth pyrosequencing analysis of the N-fixing community at both spatial and temporal scales, providing insights into the cosmopolitan and specific portions of the nitrogen fixing bacterial communities in soil.

Indexed as

AgricultureBiodiversityNitrogen FixationSoil MicrobiologyBacteriaBase SequenceDenaturing Gradient Gel ElectrophoresisGenes, BacterialGenetic VariationNetherlandsRNA, Ribosomal, 16SSeasonsSequence Analysis, DNASoilTime FactorsRNA, Ribosomal, 16SSoil

Identifiers

PMID24058578
PMCPMC3772945

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LicenceCC BY
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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.