Evidence map›Paper›PMID 27000073›Full record

ArticleBMC plant biology2016

Live-cell fluorescence imaging to investigate the dynamics of plant cell death during infection by the rice blast fungus Magnaporthe oryzae.

Kiersun Jones, Dong Won Kim, Jean S Park, Chang Hyun Khang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
27.4field-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

65 citing papers in PubMed, 160 citations in OpenAlex.

  1. Development of Experimental Techniques to Study Blueberry Rust (Journal of fungi (Basel, Switzerland) · 2026
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  10. Investigating the Effect of Syringe Infiltration onACS agricultural science & technology · 2025
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  15. A critical review on bioaerosols-dispersal of crop pathogenic microorganisms and their impact on crop yield.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Review
  16. Review
  17. The roles ofFrontiers in plant science · 2024
    Review
  18. Review
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5 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Kiersun JonesDepartment of Plant Biology, University of Georgia, Athens, 30602, USA.
Dong Won KimDepartment of Plant Biology, University of Georgia, Athens, 30602, USA.
Jean S ParkDepartment of Plant Biology, University of Georgia, Athens, 30602, USA.
Chang Hyun KhangDepartment of Plant Biology, University of Georgia, Athens, 30602, USA. ckhang@uga.edu.
University of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlant cell death plays important roles during plant-pathogen interactions. To study pathogen-induced cell death, there is a need for cytological tools that allow determining not only host cell viability, but also cellular events leading to cell death with visualization of pathogen development. Here we describe a live cell imaging method to provide insights into the dynamics of cell death in rice (Oryza sativa). This method uses live-cell confocal microscopy of rice sheath cells mechanically damaged or invaded by fluorescently-tagged Magnaporthe oryzae together with fluorescent dyes fluorescein diacetate (FDA) and propidium iodide (PI). FDA stains the cytoplasm of live cells exclusively, thus also visualizing the vacuole, whereas PI stains nuclei of dead cells.

resultsWe first demonstrated that confocal microscopy of rice leaf sheaths stained with FDA and PI discriminated between live cells and mechanically-killed cells. FDA-derived fluorescein was confined to the cytoplasm of live cells, indicating the intact vacuolar and plasma membranes. We also observed previously unreported fluorescein patterns in mechanically damaged cells. These patterns include: (1) homogeneous distribution of fluorescein in the increased area of the cytoplasm due to the shrunken vacuole; (2) the increase of the fluorescein intensity; and (3) containment of the brighter fluorescein signal only in affected cells likely due to closure of plasmodesmata. We refer to these as novel fluorescein patterns in this study. Simultaneous imaging of fluorescently-tagged M. oryzae (red) and FDA staining (green) in rice cells revealed characteristic features of the hemibiotrophic interaction. That is, newly invaded cells are alive but subsequently become dead when the fungus spreads into neighbor cells, and biotrophic interfacial complexes are associated with the host cytoplasm. This also revealed novel fluorescein patterns in invaded cells. Time-lapse imaging suggested that the FDA staining pattern in the infected host cell progressed from typical cytoplasmic localization (live cell with the intact vacuole), to novel patterns (dying cell with closed plasmodesmata with the shrunken or ruptured vacuole), to lack of fluorescence (dead cell).

conclusionWe have developed a method to visualize cellular events leading to host cell death during rice blast disease. This method can be used to compare and contrast host cell death associated with disease resistance and susceptibility in rice-M. oryzae and other host-pathogen interactions.

Indexed as

Cell DeathFluoresceinsFluorescenceFluorescent DyesMagnaportheMicroscopy, ConfocalOryzaPlant CellsPlant DiseasesPropidiumdiacetylfluoresceinFluoresceinsFluorescent DyesPropidiumBiotrophic interfacial complexConfocal microscopyFluorescein diacetateHemibiotrophyHost-pathogen interactionsOryza sativaPlasmodesmataProgrammed cell deathPropidium iodideVacuole

Identifiers

PMID27000073
PMCPMC4802709
OpenAlexW2308348147

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.