Evidence map›Paper›PMID 32889752›Full record

ReviewMolecular plant pathology2020

Structural specificity in plant-filamentous pathogen interactions.

Aline Lacaze, David L Joly

Abstract readReview
In one paragraph

Review in Molecular plant pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Hyphopodium-Specific Signaling Is Required for Plant Infection byJournal of fungi (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Soybean Hypocotyls PreventFrontiers in plant science · 2021
    Article
  12. Review
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

2 authors.

Aline LacazeDepartment of Biology, Université de Moncton, Moncton, Canada.
David L JolyDepartment of Biology, Université de Moncton, Moncton, Canada.ORCID 0000-0001-8411-5558

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant diseases bear names such as leaf blights, root rots, sheath blights, tuber scabs, and stem cankers, indicating that symptoms occur preferentially on specific parts of host plants. Accordingly, many plant pathogens are specialized to infect and cause disease in specific tissues and organs. Conversely, others are able to infect a range of tissues, albeit often disease symptoms fluctuate in different organs infected by the same pathogen. The structural specificity of a pathogen defines the degree to which it is reliant on a given tissue, organ, or host developmental stage. It is influenced by both the microbe and the host but the processes shaping it are not well established. Here we review the current status on structural specificity of plant-filamentous pathogen interactions and highlight important research questions. Notably, this review addresses how constitutive defence and induced immunity as well as virulence processes vary across plant organs, tissues, and even cells. A better understanding of the mechanisms underlying structural specificity will aid targeted approaches for plant health, for instance by considering the variation in the nature and the amplitude of defence responses across distinct plant organs and tissues when performing selective breeding.

Indexed as

Host-Pathogen InteractionsCapsicumDisease ResistanceFruitOrgan SpecificityPhytophthoraPlant DiseasesPlant LeavesPlant RootsPlantsSignal TransductionVirulencedevelopmental stagesfilamentous pathogensorganplant diseasestructural specificitytissue

Identifiers

PMID32889752
PMCPMC7548998

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.