Evidence map›Paper›PMID 34865154›Full record

ArticleThe Plant cell2022

Modeling temporal and hormonal regulation of plant transcriptional response to wounding.

Bethany M Moore, Yun Sun Lee, Peipei Wang, Christina Azodi, Erich Grotewold, Shin-Han Shiu

Open access · hybridAbstract read
In one paragraph

Article in The Plant cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 51 citations in OpenAlex.

  1. Evaluation of the genes CYPEnvironmental science and pollution research international · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Bethany M MooreDepartment of Botany, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.ORCID 0000-0002-2104-7292
Yun Sun LeeDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, USA.ORCID 0000-0002-1474-564X
Peipei WangDepartment of Plant Biology, Michigan State University, East Lansing, Michigan 48824, USA.ORCID 0000-0002-7580-9627
Christina AzodiSt. Vincent's Institute of Medical Research, Fitzroy 3065, Victoria, Australia.ORCID 0000-0002-6097-606X
Erich GrotewoldDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, USA.ORCID 0000-0002-4720-7290
Shin-Han ShiuDepartment of Plant Biology, Michigan State University, East Lansing, Michigan 48824, USA.ORCID 0000-0001-6470-235X
Michigan State University · USSt Vincents Institute of Medical Research · AUUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants respond to wounding stress by changing gene expression patterns and inducing the production of hormones including jasmonic acid. This wounding transcriptional response activates specialized metabolism pathways such as the glucosinolate pathways in Arabidopsis thaliana. While the regulatory factors and sequences controlling a subset of wound-response genes are known, it remains unclear how wound response is regulated globally. Here, we how these responses are regulated by incorporating putative cis-regulatory elements, known transcription factor binding sites, in vitro DNA affinity purification sequencing, and DNase I hypersensitive sites to predict genes with different wound-response patterns using machine learning. We observed that regulatory sites and regions of open chromatin differed between genes upregulated at early and late wounding time-points as well as between genes induced by jasmonic acid and those not induced. Expanding on what we currently know, we identified cis-elements that improved model predictions of expression clusters over known binding sites. Using a combination of genome editing, in vitro DNA-binding assays, and transient expression assays using native and mutated cis-regulatory elements, we experimentally validated four of the predicted elements, three of which were not previously known to function in wound-response regulation. Our study provides a global model predictive of wound response and identifies new regulatory sequences important for wounding without requiring prior knowledge of the transcriptional regulators.

Indexed as

Gene Expression Regulation, PlantArabidopsisCyclopentanesMetabolic Networks and PathwaysModels, BiologicalOxylipinsPlant Growth RegulatorsPlants, Genetically ModifiedRegulatory Sequences, Nucleic AcidReproducibility of ResultsTranscription FactorsCyclopentanesjasmonic acidOxylipinsPlant Growth RegulatorsTranscription Factors

Identifiers

PMID34865154
PMCPMC8824630
OpenAlexW4200125277

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.