Evidence map›Paper›PMID 42390087›Full record

ArticleMicrobiology spectrum2026

The two-component regulator CvsR has a small core regulon

Hsiao-Chun Chen, Carter J Newton, Li Yang, Brian H Kvitko

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hsiao-Chun ChenDepartment of Plant Pathology, University of Georgia, Athens, Georgia, USA.ORCID 0000-0003-3251-6178
Carter J NewtonDepartment of Plant Pathology, University of Georgia, Athens, Georgia, USA.
Li YangDepartment of Plant Pathology, University of Georgia, Athens, Georgia, USA.
Brian H KvitkoDepartment of Plant Pathology, University of Georgia, Athens, Georgia, USA.ORCID 0000-0002-9094-4069

Funding

Dissect the Timing Mechanism for Immune Maturation in PlantsR35GM143067 · NIGMS · UNIVERSITY OF GEORGIA · PI Li Yang · 2021 to 2026
$1.7M
National Science Foundation 1844861NIGMS NIH HHS R35 GM143067NIH HHS R35GM143067
6 · The paper itself

Abstract

Pattern-triggered immunity (PTI) provides broad-spectrum protection in plants by activating defense responses upon perception of conserved microbial signatures such as bacterial flagellin. IMPORTANCE: Pattern-triggered immunity (PTI) provides broad-spectrum disease resistance in plants by recognizing conserved microbial patterns such as bacterial flagellin. Activation of PTI alters the environment that pathogens encounter during infection, yet how bacteria respond to these immune-imposed conditions at the molecular level remains poorly understood. In this study, we profile the bacterial transcriptome directly in planta during infection with RNA-seq, providing a detailed view of pathogen responses under immune pressure. We focus on the previously identified two-component regulator CvsR and show that, despite widespread transcriptional changes induced by PTI, CvsR directly controls only a small core set of genes in planta. Instead, most bacterial transcriptional shifts reflect indirect responses to the immune-modified host environment. By capturing pathogen gene expression during infection, this work clarifies how plant immunity constrains bacterial physiology and provides insight that can inform sustainable strategies for crop protection.

Indexed as

Bacterial ProteinsGene Expression Regulation, BacterialPlant DiseasesPseudomonas syringaeRegulonFlagellinGene Expression ProfilingInnate Immunity RecognitionPlant ImmunitySolanum lycopersicumBacterial ProteinsFlagellinin planta transcriptomepattern-triggered immunity (PTI)Pseudomonas syringae pv. tomato DC3000two-component system

Identifiers

PMID42390087
PMCPMC13436366

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.