Evidence map›Paper›PMID 42197561›Full record

ReviewPlants (Basel, Switzerland)2026

Specialized Metabolic Reprogramming in Plant Immunity: Biosynthetic Networks, Spatiotemporal Regulation, and Quantitative Defense.

Adnan Amin

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Quantitative resistance toFrontiers in plant science · 2026
    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.

Adnan AminDepartment of Life Sciences, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0001-5562-6703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Specialized metabolic reprogramming is a central component of plant immunity. However, its integration across biosynthetic networks and defense phenotypes remains incompletely understood. This mini review examines how specialized metabolites are produced, regulated, spatially deployed, and linked to defense outcomes. We highlight how metabolites such as camalexin, indolic glucosinolates, benzoxazinoids, flavonoids, lignin precursors, pipecolic acid, and N-hydroxypipecolic acid are produced through pathway branching, metabolic flux redistribution, and coordination with primary metabolism. We further discuss how immune signaling modules and transcriptional regulators, including salicylic acid, jasmonic acid, and ethylene pathways, together with transcription factors, regulate defense mechanisms through genes such as PAD3, CYP71A12, CYP71A13, ALD1, SARD4, FMO1, JAZ, and ORA59. Emphasis is placed on spatiotemporal compartmentation, including cell- and tissue-specific responses, plastidial and endoplasmic reticulum-associated metabolism, vacuolar sequestration, apoplastic deployment, and transport-dependent localization, as metabolite function depends greatly on when and where compounds accumulate. This review also evaluates how these metabolic programs are translated into quantitative defense phenotypes, such as resistance outcomes, growth-defense tradeoffs, and fitness costs. Finally, we evaluate emerging tools, including metabolomics, spatial metabolomics, multiomics integration, network inference, and predictive modeling, to elucidate causal relationships between metabolic reprogramming and immune performance. Collectively, the evidence supports a multiscale framework in which specialized metabolism links immune perception to quantitative defense output.

Indexed as

growth–defense trade-offmetabolomicsplant immunityspatiotemporal compartmentationspecialized metabolism

Identifiers

PMID42197561
PMCPMC13211178

What OpenQuestion holds

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Registered trials

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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.