ArticleMolecular biology reports2021
Understanding the regulatory relationship of abscisic acid and bZIP transcription factors towards amylose biosynthesis in wheat.
Article in Molecular biology reports, 2021. 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, 10 citations in OpenAlex.
- Transcriptional networks shaping malting quality in barley: From grain development to brewing performance.Food chemistry. Molecular sciences · 2026Review
- Identification of circadian-regulated genes for enhancing acidic soil tolerance in rice through integrative transcriptomic and systems analysis.Scientific reports · 2026Article
- Innovative opportunities for gene editing technology in crop breeding: from the perspective of literature analysis.Frontiers in plant science · 2025Article
- Genome-wide identification and characterization of parthenocarpic fruit set-related gene homologs in cucumber (Cucumis sativus L.).Scientific reports · 2023Article
- Article
- Genome-Wide Identification and Expression Analysis of the Plant U-Box Protein Gene Family inFrontiers in genetics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Starch is biosynthesized during seed development and this process is regulated by many bZIP proteins in bread wheat. Abscisic acid (ABA), an important phyto-hormone involved in various physiological processes mediated by bZIPs in plants including seed development. The 'Group A' TabZIP transcription factors play important roles in the ABA signaling pathway in Arabidopsis, rice and other cereal crops but their role in regulation of amylose biosynthesis in wheat is limited. In this study 83 'Group A' TabZIPs were characterized by gene expression analysis in wheat amylose mutants. A set of 17 TabZIPs was selected on the basis of differential expression (> 2 fold) in low and high amylose mutants from RNA-seq data and validated by qRT PCR. Based on qRT PCR and correlation analysis out of the 17 TabZIPs six differentially expressed candidate TabZIPs were identified, involving in high amylose biosynthesis. The TabZIP175.2, identified as upregulated in all high amylose lines and TabZIP90.2, TabZIP129.1, TabZIP132.2, TabZIP143 and TabZIP159.2 were found downregulated in all low amylose lines, after exogenous supply of ABA. Proximal promoter analysis of starch pathway genes revealed the presence of ABA-responsive elements (ABREs) that are putative binding sites for bZIPs. Collectively, these findings indicated the involvement of putative six candidate TabZIPs as transcriptional regulators of amylose related genes via an ABA-dependent pathway in wheat. This study could help the investigators to make an informed decision to edit wheat genome for high/low amylose content using gene-editing technologies.
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.