Evidence map›Paper›PMID 25764562›Full record

ArticleFEMS microbiology ecology2015

Spatial scales of interactions among bacteria and between bacteria and the leaf surface.

Daniel S Esser, Johan H J Leveau, Katrin M Meyer, Kerstin Wiegand

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
  4. Article
  5. Article
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  10. Article
  11. Plants (Basel, Switzerland) · 2022
    Article
  12. Article
  13. The unexplored bacterial lifestyle on leaf surface.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020
    Review
  14. Review
  15. Article
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  20. Review
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

4 authors.

Daniel S EsserDepartment of Ecosystem Modelling, Büsgen-Institute, Georg-August-University of Göttingen, Büsgenweg 4, 37077 Göttingen, Germany desser@uni-goettingen.de.
Johan H J LeveauDepartment of Plant Pathology, University of California, Davis, CA 95616-8751, USA.
Katrin M MeyerDepartment of Ecosystem Modelling, Büsgen-Institute, Georg-August-University of Göttingen, Büsgenweg 4, 37077 Göttingen, Germany.
Kerstin WiegandDepartment of Ecosystem Modelling, Büsgen-Institute, Georg-August-University of Göttingen, Büsgenweg 4, 37077 Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial life on plant leaves is characterized by a multitude of interactions between leaf colonizers and their environment. While the existence of many of these interactions has been confirmed, their spatial scale or reach often remained unknown. In this study, we applied spatial point pattern analysis to 244 distribution patterns of Pantoea agglomerans and Pseudomonas syringae on bean leaves. The results showed that bacterial colonizers of leaves interact with their environment at different spatial scales. Interactions among bacteria were often confined to small spatial scales up to 5-20 μm, compared to interactions between bacteria and leaf surface structures such as trichomes which could be observed in excess of 100 μm. Spatial point-pattern analyses prove a comprehensive tool to determine the different spatial scales of bacterial interactions on plant leaves and will help microbiologists to better understand the interplay between these interactions.

Indexed as

EcosystemFabaceaePantoeaPlant LeavesPseudomonas syringaeSpatial AnalysisK-functionpair correlation functionPantoeaPhaseolus vulgarisphyllospherePseudomonas

Identifiers

PMID25764562
PMCPMC4399446

What OpenQuestion holds

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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.