Evidence map›Paper›PMID 37002819›Full record

ArticlePlant physiology2023

Plant extracellular self-DNA inhibits growth and induces immunity via the jasmonate signaling pathway.

Xingang Zhou, Huan Gao, Xianhong Zhang, Muhammad Khashi U Rahman, Stefano Mazzoleni, Minmin Du, Fengzhi Wu

Open access · hybridAbstract read
In one paragraph

Article in Plant physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
21.8field-weighted citation impact, top 1% of its field
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

24 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Extracellular ssDNA fromInternational journal of molecular sciences · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Epigenomes · 2025
    Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Self-DNA Inhibition inBiology · 2023
    Article
  18. Article
  19. Metabolic Responses of the MicroalgaInternational journal of molecular sciences · 2023
    Article
  20. 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

7 authors at 3 institutions in 2 countries.

Xingang ZhouKey Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Department of Horticulture, Northeast Agricultural University, Harbin 150030, China.ORCID 0000-0003-2681-7177
Huan GaoKey Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Department of Horticulture, Northeast Agricultural University, Harbin 150030, China.ORCID 0000-0003-1425-8216
Xianhong ZhangKey Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Department of Horticulture, Northeast Agricultural University, Harbin 150030, China.ORCID 0009-0006-6563-636X
Muhammad Khashi U RahmanKey Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Department of Horticulture, Northeast Agricultural University, Harbin 150030, China.ORCID 0000-0002-2545-9614
Stefano MazzoleniDepartment of Agricultural Sciences, University of Naples Federico II, Portici 80055, Italy.ORCID 0000-0002-1132-2625
Minmin DuBeijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, College of Horticulture, China Agricultural University, Beijing 100193, China.ORCID 0000-0003-2858-8582
Fengzhi WuKey Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Department of Horticulture, Northeast Agricultural University, Harbin 150030, China.ORCID 0000-0003-3938-0488
Northeast Agricultural University · CNChina Agricultural University · CNFederico II University Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants have evolved sophisticated mechanisms to detect various forms of danger. Damage-associated molecular patterns (DAMPs) are endogenous danger molecules that are released from damaged cells and activate the innate immunity. Recent evidence suggests that plant extracellular self-DNA (esDNA) can serve as a DAMP molecule. However, the mechanisms by which esDNA functions are largely unknown. In this study, we confirmed that esDNA inhibits root growth and triggers reactive oxygen species (ROS) production in a concentration- and species-specific manner in Arabidopsis (Arabidopsis thaliana) and tomato (Solanum lycopersicum L.). Furthermore, by combining RNA sequencing, hormone measurement, and genetic analysis, we found that esDNA-mediated growth inhibition and ROS production are achieved through the jasmonic acid (JA) signaling pathway. Specifically, esDNA induces JA production and the expression of JA-responsive genes. The esDNA-mediated growth inhibition, ROS production, and gene expression are impaired in the JA-related mutants. Finally, we found that the JA signaling pathway is required for the esDNA-elicited resistance against the pathogens Botrytis cinerea and Pseudomonas syringae pv. tomato DC3000. This finding highlights the importance of JA signaling in esDNA-mediated biological effects, thereby providing insight into how esDNA functions as a DAMP.

Indexed as

ArabidopsisDisease ResistanceCyclopentanesDNAGene Expression Regulation, PlantHumansOxylipinsPlant DiseasesPlant ImmunityPseudomonas syringaeReactive Oxygen SpeciesSignal TransductionCyclopentanesDNAjasmonic acidOxylipinsReactive Oxygen Species

Identifiers

PMID37002819
PMCPMC10315318
OpenAlexW4362454676

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.