Evidence map›Paper›PMID 38032422›Full record

ReviewDiscover nano2023

Plant exosomes: nano conveyors of pathogen resistance.

D Subha, R AnuKiruthika, Harsha Sreeraj, K S Tamilselvi

Abstract readReview
In one paragraph

Review in Discover nano, 2023. 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.

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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

4 authors.

D SubhaDepartment of Biotechnology, PSGR Krishnammal College for Women, Coimbatore, India. subha@psgrkcw.ac.in.
R AnuKiruthikaDepartment of Botany, PSGR Krishnammal College for Women, Coimbatore, India.
Harsha SreerajDepartment of Botany, PSGR Krishnammal College for Women, Coimbatore, India.
K S TamilselviDepartment of Botany, PSGR Krishnammal College for Women, Coimbatore, India. tamilselviks@psgrkcw.ac.in.

Funding

Department of Biotechnology, Ministry of Science and Technology, India No.BT/INF/22/SP45369/2022
6 · The paper itself

Abstract

The entry of a pathogen into a plant host is a complex process involving multiple steps. Survival techniques from the pathogen and the defense mechanisms of the plant lead to a plethora of molecular interactions during the operation. Plant extracellular vesicles, especially the exosomes in the size range of 50-150 nm play a crucial role in plant defense. They act as signalosomes capable of transporting bioactive lipids, proteins, RNA and metabolites between the host and the pathogen. Recent research works have revealed that anti-microbial compounds, stress response proteins and small RNA are among the contents of these extracellular vesicles. The current review article analyses the cruciality of the cross-talk between the host and the pathogen organized through trafficking of small RNA via exosomes towards RNA induced gene silencing in the pathogenic organisms. Recent studies have shown that extracellular vesicles released by both plants and the pathogens, play a crucial role in cross-kingdom communication, thereby regulating the host response and contributing to plant immunity. An in-depth understanding of the mechanism by which the EVs mediate this inter-species and cross-kingdom regulation is currently needed to develop sustainable plant-protection strategies. The review highlights on the latest advances in understanding the role of EVs in establishing host-pathogen relationship, modulating plant immunity and approaches for how these findings can be developed into innovative strategies for crop protection.

Indexed as

Cross-kingdomExosomesExtracellular vesiclesHost–pathogenSIGS

Identifiers

PMID38032422
PMCPMC10689327

What OpenQuestion holds

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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.