Evidence map›Paper›PMID 28320784›Full record

ReviewThe Plant cell2017

Mechanisms to Mitigate the Trade-Off between Growth and Defense.

Talia L Karasov, Eunyoung Chae, Jacob J Herman, Joy Bergelson

Open access · bronzeAbstract readReview
In one paragraph

Review in The Plant cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 265 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
265citing papers in PubMed, 1 pooled it
89.2field-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

265 citing papers in PubMed, 1 synthesis or guideline pooled it, 607 citations in OpenAlex.

  1. Pooled it
  2. Review
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  10. Review
  11. Effects of Si and N Addition onPlants (Basel, Switzerland) · 2026
    Article
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205 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 2 institutions in 2 countries.

Talia L KarasovDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen 72076, Germany.ORCID http://orcid.org/0000-0002-3592-6597
Eunyoung ChaeDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen 72076, Germany.ORCID http://orcid.org/0000-0002-0889-9837
Jacob J HermanDepartment of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637.ORCID http://orcid.org/0000-0002-7391-8096
Joy BergelsonDepartment of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637 jbergels@uchicago.edu.ORCID http://orcid.org/0000-0001-7893-7387
Max Planck Institute for Developmental Biology · DEUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants have evolved an array of defenses against pathogens. However, mounting a defense response frequently comes with the cost of a reduction in growth and reproduction, carrying critical implications for natural and agricultural populations. This review focuses on how costs are generated and whether and how they can be mitigated. Most well-characterized growth-defense trade-offs stem from antagonistic crosstalk among hormones rather than an identified metabolic expenditure. A primary way plants mitigate such costs is through restricted expression of resistance; this can be achieved through inducible expression of defense genes or by the concentration of defense to particular times or tissues. Defense pathways can be primed for more effective induction, and primed states can be transmitted to offspring. We examine the resistance (

Indexed as

Disease ResistancePlant ImmunityPlant ProteinsPlantsPlant Proteins

Identifiers

PMID28320784
PMCPMC5435432
OpenAlexW2601877937

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.