Evidence map›Paper›PMID 40826837›Full record

ArticlePhysiologia plantarum

Eucalyptus grandis MYB-Like and RAN-Like Zinc Finger Proteins Display Dual Roles in Regulating Plant Immunity and Symbiosis Pathways.

Richard A Hill, Krista L Plett, Johanna W-H Wong-Bajracharya, Mei Wang, Anna Lipzen, Vivian Ng, Igor V Grigoriev, Francis Martin, Ian C Anderson, Thomas C Jeffries and 1 more

Abstract read
In one paragraph

Article in Physiologia plantarum. 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

11 authors.

Richard A HillHawkesbury Institute for the Environment, Western Sydney University, Richmond, New South Wales, Australia.ORCID https://orcid.org/0000-0003-1973-7435
Krista L PlettHawkesbury Institute for the Environment, Western Sydney University, Richmond, New South Wales, Australia.ORCID https://orcid.org/0000-0001-6422-3754
Johanna W-H Wong-BajracharyaHawkesbury Institute for the Environment, Western Sydney University, Richmond, New South Wales, Australia.ORCID https://orcid.org/0000-0001-6119-8645
Mei WangUS Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID https://orcid.org/0000-0002-3240-7994
Anna LipzenUS Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Vivian NgUS Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID https://orcid.org/0000-0001-8941-6931
Igor V GrigorievUS Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID https://orcid.org/0000-0002-3136-8903
Francis MartinUniversité de Lorraine, INRA, UMR Interactions Arbres/Microorganismes, Laboratory of Excellence ARBRE, INRA Grand Est-Nancy, Champenoux, France.ORCID https://orcid.org/0000-0002-4737-3715
Ian C AndersonHawkesbury Institute for the Environment, Western Sydney University, Richmond, New South Wales, Australia.ORCID https://orcid.org/0000-0002-3507-163X
Thomas C JeffriesHawkesbury Institute for the Environment, Western Sydney University, Richmond, New South Wales, Australia.
Jonathan M PlettHawkesbury Institute for the Environment, Western Sydney University, Richmond, New South Wales, Australia.ORCID https://orcid.org/0000-0003-0514-8146

Funding

Agence Nationale de la Recherche ANR-11- LABX-0002-01Australian Research Council DP160102684Australian Research Council DP220103325Office of Science of the U.S. Department of Energy DE-AC02-05CH11231U.S. Department of Energy Joint Genome Institute CSP1953
6 · The paper itself

Abstract

Plant roots live in constant contact with diverse microbes in the soil. Plant fitness, therefore, relies on signaling pathways that mount an effective immune response against pathogens while fostering mutualistic symbioses. Plant pathways, and specifically immune genes that may act as "switches," discriminating between pathogenic or mutualistic fungi, remain largely unknown. Using Eucalyptus grandis as a model system, we investigate alterations to the root transcriptomic landscape during pre-symbiosis with either the pathogen Armillaria luteobubalina or the mutualistic fungus Pisolithus microcarpus. Comparative analyses identified three strongly counter-regulated genes that may act as immune switches to accommodate or to repress fungal colonization. We characterized two of these, a MYB-like and RAN-like zinc finger protein, using a transgenic approach and demonstrated that they have bifunctional roles in the regulation of cell death and a hypersensitive-like response, depending on the lifestyle of the associated fungus. Using co-expression network analysis, we identified hypothetical pathways correlated to these genes. We functionally validated these predictions using plants with transgenic roots with increased or decreased transcription of these genes, thereby showing the power of co-expression networks as an a priori approach to identify key immune response pathways in plants. Overall, our results demonstrate that prior to physical contact with microbes, MYB-like and RAN-like zinc finger proteins are key regulators of plant immune signaling that respond to fungal signals and enable or repress symbiotic establishment.

Indexed as

EucalyptusPlant ImmunityPlant ProteinsSymbiosisZinc FingersGene Expression Regulation, PlantPlant RootsPlants, Genetically ModifiedPlant Proteinsmycorrhizal funginecrotrophic pathogenplant–microbe interactionsignal transductionsymbiosis defense response

Identifiers

PMID40826837
PMCPMC12361834

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LicenceCC BY-NC-ND
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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.