Evidence map›Paper›PMID 31586145›Full record

ArticleScientific reports2019

Understanding the phyllosphere microbiome assemblage in grape species (Vitaceae) with amplicon sequence data structures.

Prashant Singh, Sylvain Santoni, Audrey Weber, Patrice This, Jean-Pierre Péros

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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  9. Impact of the Biocontrol Product, EsquiveJournal of fungi (Basel, Switzerland) · 2024
    Article
  10. Review
  11. Article
  12. Insights into Grape Ripe Rot: A Focus on thePlants (Basel, Switzerland) · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Article
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  19. Review
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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

5 authors.

Prashant SinghAGAP, University of Montpellier, INRA-SupAgro, CIRAD, Montpellier, France. patrice.this@inra.fr.ORCID http://orcid.org/0000-0003-0807-4314
Sylvain SantoniAGAP, University of Montpellier, INRA-SupAgro, CIRAD, Montpellier, France.
Audrey WeberAGAP, University of Montpellier, INRA-SupAgro, CIRAD, Montpellier, France.
Patrice ThisAGAP, University of Montpellier, INRA-SupAgro, CIRAD, Montpellier, France.
Jean-Pierre PérosAGAP, University of Montpellier, INRA-SupAgro, CIRAD, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impacts of plant genotype on microbial assemblage in the phyllosphere (above-ground parts of plants, which predominantly consists of the set of photosynthetic leaves) of Vitis vinifera cultivars have been studied previously but the impact of grape species (under the grape family Vitaceae) was never investigated. Considering the fact, that the phyllosphere microbiome may have profound effects on host plant health and its performance traits, studying the impact of grape species in microbial taxa structuring in the phyllosphere could be of crucial importance. We performed 16S and ITS profiling (for bacteria and fungi respectively) to access genus level characterization of the microflora present in the leaf phyllosphere of five species within this plant family, sampled in two successive years from the repository situated in the Mediterranean. We also performed α and β-diversity analyses with robust statistical estimates to test the impacts of grape species and growing year, over a two-year period. Our results indicated the presence of complex microbial diversity and assemblages in the phyllosphere with a significant effect of both factors (grape species and growing year), the latter effect is being more pronounced. We also compared separate normalization methods for high-throughput microbiome data-sets followed by differential taxa abundance analyses. The results suggested the predominance of a particular normalization method over others. This also indicated the need for more robust normalization methods to study the differential taxa abundance among groups in microbiome research.

Indexed as

MicrobiotaBacteriaFungiPhylogenyPlant LeavesVitis

Identifiers

PMID31586145
PMCPMC6778096

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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.