Evidence map›Paper›PMID 34735005›Full record

ArticleThe Plant cell2022

Prediction of conserved and variable heat and cold stress response in maize using cis-regulatory information.

Peng Zhou, Tara A Enders, Zachary A Myers, Erika Magnusson, Peter A Crisp, Jaclyn M Noshay, Fabio Gomez-Cano, Zhikai Liang, Erich Grotewold, Kathleen Greenham and 1 more

Open access · bronzeAbstract 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 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Design and Testing of Root-Specific Synthetic Promoters by Machine Learning.International journal of molecular sciences · 2026
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  15. Annual review of plant biology · 2023
    Review
  16. Article
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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

11 authors at 2 institutions in 2 countries.

Peng ZhouDepartment of Plant and Microbial Biology, University of Minnesota, Saint Paul, Minnesota 55108, USA.ORCID 0000-0001-5684-2256
Tara A EndersDepartment of Plant and Microbial Biology, University of Minnesota, Saint Paul, Minnesota 55108, USA.ORCID 0000-0002-9634-059X
Zachary A MyersDepartment of Plant and Microbial Biology, University of Minnesota, Saint Paul, Minnesota 55108, USA.ORCID 0000-0002-7225-0290
Erika MagnussonDepartment of Plant and Microbial Biology, University of Minnesota, Saint Paul, Minnesota 55108, USA.ORCID 0000-0001-7868-6215
Peter A CrispDepartment of Plant and Microbial Biology, University of Minnesota, Saint Paul, Minnesota 55108, USA.ORCID 0000-0002-3655-0130
Jaclyn M NoshayDepartment of Plant and Microbial Biology, University of Minnesota, Saint Paul, Minnesota 55108, USA.ORCID 0000-0002-7438-193X
Fabio Gomez-CanoDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, USA.ORCID 0000-0002-2624-0112
Zhikai LiangDepartment of Plant and Microbial Biology, University of Minnesota, Saint Paul, Minnesota 55108, USA.ORCID 0000-0002-9963-8631
Erich GrotewoldDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, USA.ORCID 0000-0002-4720-7290
Kathleen GreenhamDepartment of Plant and Microbial Biology, University of Minnesota, Saint Paul, Minnesota 55108, USA.ORCID 0000-0001-7681-5263
Nathan M SpringerDepartment of Plant and Microbial Biology, University of Minnesota, Saint Paul, Minnesota 55108, USA.ORCID 0000-0002-7301-4759
University of Minnesota · USMichigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in gene expression are important for responses to abiotic stress. Transcriptome profiling of heat- or cold-stressed maize genotypes identifies many changes in transcript abundance. We used comparisons of expression responses in multiple genotypes to identify alleles with variable responses to heat or cold stress and to distinguish examples of cis- or trans-regulatory variation for stress-responsive expression changes. We used motifs enriched near the transcription start sites (TSSs) for thermal stress-responsive genes to develop predictive models of gene expression responses. Prediction accuracies can be improved by focusing only on motifs within unmethylated regions near the TSS and vary for genes with different dynamic responses to stress. Models trained on expression responses in a single genotype and promoter sequences provided lower performance when applied to other genotypes but this could be improved by using models trained on data from all three genotypes tested. The analysis of genes with cis-regulatory variation provides evidence for structural variants that result in presence/absence of transcription factor binding sites in creating variable responses. This study provides insights into cis-regulatory motifs for heat- and cold-responsive gene expression and defines a framework for developing models to predict expression responses across multiple genotypes.

Indexed as

Genes, PlantTranscriptomeCold-Shock ResponseGene Expression ProfilingGene Expression Regulation, PlantHeat-Shock ResponseZea mays

Identifiers

PMID34735005
PMCPMC8773969
OpenAlexW3210915967

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.