Evidence map›Paper›PMID 34973146›Full record

ArticlePlant molecular biology2022

Large-scale comparative transcriptomic analysis of temperature-responsive genes in Arabidopsis thaliana.

Napaporn Sriden, Varodom Charoensawan

Abstract read
In one paragraph

Article in Plant molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Transcriptomic Analysis of the CAM SpeciesPlants (Basel, Switzerland) · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Adaptation of plants to a high COPlant molecular biology · 2022
    Article
  10. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Napaporn SridenDoctor of Philosophy Program in Biochemistry (International Program), Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Varodom CharoensawanDepartment of Biochemistry, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand. varodom.cha@mahidol.ac.th.ORCID http://orcid.org/0000-0002-2199-4126

Funding

National Research Council of Thailand NRCT5-RSA63015-24
6 · The paper itself

Abstract

key messageComparative transcriptomic analysis provides broad and detailed understandings of transcriptional responses to a wide range of temperatures in different plant tissues, and unique regulatory functions of temperature-mediating transcription factors. Climate change poses a great threat to plant diversity and food security. It is thus of necessity to understand the molecular mechanisms for perceiving and responding to adverse temperature changes, to develop the cultivars that are resilient to these environmental stresses. Making use of publicly available datasets, we gathered and re-analyzed 259 individual transcriptomic profiles from 139 unique experiments of Arabidopsis thaliana's shoot, root, and seedling tissues, subjected to a wide variety of temperature conditions, ranging from freezing, cold, low and high ambient temperatures, to heat shock. Despite the underlying differences in the overall transcriptomic profiles between the plant tissues, we were able to identify distinct sets of genes whose transcription patterns were highly responsive to different types of temperature conditions, some were common among the tissues and some were tissue-specific. Interestingly, we observed that the known temperature-responsive genes such as the heat-shock factor (HSF) family, were up-regulated not only in response to high temperatures, but some of its members were also likely involved in the cold response. By integrating the DNA-binding specificity information of the key temperature transcription factor (TF) HSFA1a, PIF4, and CBFs, we elucidated their distinct DNA-binding patterns to the target genes that showed different transcriptional responses. Taken together, we have comprehensively characterized the transcription patterns of temperature-responsive genes and provided directly testable hypotheses on the regulatory roles of key temperature TFs on the expression dynamics of their target genes.

Indexed as

ArabidopsisArabidopsis ProteinsDNAGene Expression Regulation, PlantPlant ProteinsTemperatureTranscription FactorsTranscriptomeArabidopsis ProteinsDNAPlant ProteinsTranscription FactorsArabidopsis thalianaComparative omicsHeat-shock factor (HSF)Temperature responsesTranscriptomes

Identifiers

PMID34973146
PMCPMC9646545

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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.