Evidence map›Paper›PMID 39175483›Full record

ReviewFrontiers in plant science2024

The overlooked manipulation of nucleolar functions by plant pathogen effectors.

Sarah Ranty-Roby, Frédéric Pontvianne, Michaël Quentin, Bruno Favery

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Sarah Ranty-RobyINRAE, Université Côte d'Azur, CNRS, Institut Sophia Agrobiotech (ISA), Sophia Antipolis F-06903, Sophia Antipolis, France.
Frédéric PontvianneCNRS, Laboratory of Plant Genome and Development, Perpignan, France.
Michaël QuentinINRAE, Université Côte d'Azur, CNRS, Institut Sophia Agrobiotech (ISA), Sophia Antipolis F-06903, Sophia Antipolis, France.
Bruno FaveryINRAE, Université Côte d'Azur, CNRS, Institut Sophia Agrobiotech (ISA), Sophia Antipolis F-06903, Sophia Antipolis, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogens need to manipulate plant functions to facilitate the invasion of their hosts. They do this by secreting a cocktail of molecules called effectors. Studies of these molecules have mostly focused on the mechanisms underlying their recognition and the subsequent transcriptional reprogramming of cells, particularly in the case of R gene-dependent resistance. However, the roles of these effectors are complex, as they target all cell compartments and their plant targets remain largely uncharacterized. An understanding of the mechanisms involved would be a considerable asset for plant breeding. The nucleolus is the site of many key cellular functions, such as ribosome biogenesis, cellular stress regulation and many other functions that could be targets for pathogenicity. However, little attention has been paid to effectors targeting nucleolar functions. In this review, we aim to fill this gap by providing recent findings on pathogen effectors that target and manipulate nucleolar functions and dynamics to promote infection. In particular, we look at how some effectors hijack ribosome biogenesis, the modulation of transcription or alternative splicing, all key functions occurring at least partially in the nucleolus. By shedding light on the role of the plant nucleolus in pathogen interactions, this review highlights the importance of understanding nucleolar biology in the context of plant immunity and the mechanisms manipulated by plant pathogens.

Indexed as

effectornucleolar functionsnucleoluspathogensplant immunity

Identifiers

PMID39175483
PMCPMC11339880

What OpenQuestion holds

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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.