Evidence map›Paper›PMID 23143286›Full record

ArticleCurrent microbiology2013

Variability of bacterial community composition on leaves between and within plant species.

Ido Izhaki, Svetlana Fridman, Yoram Gerchman, Malka Halpern

Abstract read
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Article in Current microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Microbiome-Mediated Protection against Pathogens in Woody Plants.International journal of molecular sciences · 2023
    Review
  2. Article
  3. Article
  4. Article
  5. Frontiers in microbiology · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Biosynthesis of silver nanoparticles usingIET nanobiotechnology · 2017
    Article
  11. Article
  12. Forest health in a changing world.Microbial ecology · 2015
    Review
  13. 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

4 authors.

Ido IzhakiDepartment of Evolutionary and Environmental Biology, Faculty of Natural Sciences, University of Haifa, Mount Carmel, 31905, Haifa, Israel. izhaki@research.haifa.ac.il
Svetlana Fridman
Yoram Gerchman
Malka Halpern

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phyllosphere is one of the largest habitats for terrestrial microorganisms. To gain a better insight into the factors underlying the composition of bacterial communities inhabiting leaf surfaces we performed culture-dependent and independent (Denaturing Gradient Gel Electrophoresis) analyses on the bacteria associated with the leaves of three plant species: Amygdalus communis, Citrus paradisi, and Nicotiana glauca. We found that the culturable classes Bacilli and Actinobacteria were the predominant classes on the phyllosphere of all three plant species. In contrast to this consistency on the bacterial class level, we found a significant variation on the bacterial species-level based on the culturable methods. Although some variation was detected among individual plants within one plant species, the inter-specific variability exceeded the intra-specific variability. C. paradisi leaf surface had the highest predicted total species richness (Chao 2 and ICE) and the highest species diversity (βw) among the three plant species. Our findings demonstrate that environmental conditions, mainly the plant species within a site, govern the bacterial community composition on leaf surfaces.

Indexed as

BiodiversityBacteriaDNA, BacterialEcosystemMolecular Sequence DataPhylogenyPlant LeavesPlantsRNA, Ribosomal, 16SSequence Analysis, DNASpecies SpecificityDNA, BacterialRNA, Ribosomal, 16S

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.