Evidence map›Paper›PMID 37778013›Full record

ReviewArchives of microbiology2023

Microbiota and the plant immune system work together to defend against pathogens.

Joydeep Chakraborty

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. The Apple Mitogen-Activated Protein KinaseInternational journal of molecular sciences · 2025
    Article
  6. Article
  7. 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

1 author at 1 institution in 1 country.

Joydeep ChakrabortyTel Aviv University, School of Plant Sciences and Food Security, Tel-Aviv, Israel. jchbt86@gmail.com.ORCID http://orcid.org/0000-0003-1106-8740
Tel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants are exposed to a myriad of microorganisms, which can range from helpful bacteria to deadly disease-causing pathogens. The ability of plants to distinguish between helpful bacteria and dangerous pathogens allows them to continuously survive under challenging environments. The investigation of the modulation of plant immunity by beneficial microbes is critical to understand how they impact plant growth improvement and defense against invasive pathogens. Beneficial bacterial populations can produce significant impact on plant immune responses, including regulation of immune receptors activity, MITOGEN-ACTIVATED PROTEIN KINASE (MAPK) activation, transcription factors, and reactive oxygen species (ROS) signaling. To establish themselves, beneficial bacterial populations likely reduce plant immunity. These bacteria help plants to recover from various stresses and resume a regular growth pattern after they have been established. Contrarily, pathogens prevent their colonization by releasing toxins into plant cells, which have the ability to control the local microbiota via as-yet-unidentified processes. Intense competition among microbial communities has been found to be advantageous for plant development, nutrient requirements, and activation of immune signaling. Therefore, to protect themselves from pathogens, plants may rely on the beneficial microbiota in their environment and intercommunity competition amongst microbial communities.

Indexed as

MicrobiotaPlant ImmunityBacteriaPlantsSignal TransductionEffectorsImmune receptorsMicrobiotaPathogensPlant immunity

Identifiers

PMID37778013
OpenAlexW4387232034

What OpenQuestion holds

Textmetadata
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.