ArticleScientific reports2023
Genome-wide identification and comprehensive analysis heat shock transcription factor (Hsf) members in asparagus (Asparagus officinalis) at the seeding stage under abiotic stresses.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Genome-Wide Identification, Expression Analysis ofPlants (Basel, Switzerland) · 2026Article
- Integrative cross-platform transcriptomic analysis coupled with machine learning identifies candidate biomarkers of abiotic stress resilience in Arabidopsis thaliana.BMC plant biology · 2026Article
- Identification and Expression Analysis of Transcription Factor Family in Highland Barley Seedlings Under NaLife (Basel, Switzerland) · 2026Article
- Genome-Wide Identification of thePlants (Basel, Switzerland) · 2026Article
- Genome-wide identification of heat shock factors in Myricaria laxiflora and their response to abiotic stresses.BMC genomics · 2025Article
- Heat stress response factor ZmHSF10 positively regulates heat tolerance in maize.BMC plant biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heat shock transcription factors (Hsf) are pivotal as essential transcription factors. They function as direct transcriptional activators of genes regulated by thermal stress and are closely associated with various abiotic stresses. Asparagus (Asparagus officinalis) is a vegetable of considerable economic and nutritional significance, abundant in essential vitamins, minerals, and dietary fiber. Nevertheless, asparagus is sensitive to environmental stresses, and specific abiotic stresses harm its yield and quality. In this context, Hsf members have been discerned through the reference genome, and a comprehensive analysis encompassing physical and chemical attributes, evolutionary aspects, motifs, gene structure, cis-acting elements, collinearity, and expression patterns under abiotic stresses has been conducted. The findings identified 18 members, categorized into five distinct subgroups. Members within each subgroup exhibited analogous motifs, gene structures, and cis-acting elements. Collinearity analysis unveiled a noteworthy pattern, revealing that Hsf members within asparagus shared one, two, and three pairs with counterparts in Arabidopsis, Oryza sativa, and Glycine max, respectively.Furthermore, members displayed tissue-specific expression during the seedling stage, with roots emerging as viable target tissue. Notably, the expression levels of certain members underwent modification under the influence of abiotic stresses. This study establishes a foundational framework for understanding Hsf members and offers valuable insights into the potential application of molecular breeding in the context of asparagus cultivation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.