Evidence map›Paper›PMID 30944875›Full record

ArticlemSystems

Clonal Plants as Meta-Holobionts.

Nathan Vannier, Cendrine Mony, Anne-Kristel Bittebiere, Kevin R Theis, Eugene Rosenberg, Philippe Vandenkoornhuyse

Abstract read
In one paragraph

Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Ecological mechanisms of microbial assembly in clonal plantApplied and environmental microbiology · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. The study of host-microbiome (co)evolution across levels of selection.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    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

6 authors.

Nathan VannierUniversité de Rennes, CNRS, UMR6553 EcoBio, Rennes, France.
Cendrine MonyUniversité de Rennes, CNRS, UMR6553 EcoBio, Rennes, France.
Anne-Kristel BittebiereUniversité de Lyon 1, CNRS, Villeurbanne, France.
Kevin R TheisDepartment of Biochemistry, Microbiology and Immunology, Wayne State University, Detroit, Michigan, USA.
Eugene RosenbergDepartment of Molecular Microbiology and Biotechnology, Tel-Aviv University, Tel Aviv, Israel.
Philippe VandenkoornhuyseUniversité de Rennes, CNRS, UMR6553 EcoBio, Rennes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The holobiont concept defines a given organism and its associated symbionts as a potential level of selection over evolutionary time. In clonal plants, recent experiments demonstrated vertical transmission of part of the microbiota from one ramet (i.e., potentially autonomous individual) to another within the clonal network (i.e., connections by modified stems present in ∼35% of all plants). Because of this heritability, and potentially reciprocal exchange of microbes between generations of ramets, we propose to extend the existing holobiont framework to the concept of meta-holobiont. A meta-holobiont is a network of holobionts that can exchange biomolecules and microbiota across generations, thus impacting the fitness of both biological scales: holobionts and meta-holobionts. Specifically, meta-holobiont dynamics can result in sharing, specialization, and division of labor across plant clonal generations. This paper, which coins the meta-holobiont concept, is expected to stimulate discussion and to be applied beyond the context of networked clonal plants (e.g., to social insects).

Indexed as

holobiontplant-microbe interactionssymbiosis

Identifiers

PMID30944875
PMCPMC6426648

What OpenQuestion holds

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LicenceCC BY
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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.