Evidence map›Paper›PMID 40432505›Full record

ArticleJournal of integrative plant biology2025

TaSED interacts with TaSPA synergistically regulating SDS-sedimentation volume in bread wheat.

Shanshan Zhai, Runqi Zhang, Xinhao Meng, Guoyu Liu, Jiazheng Yu, Huanwen Xu, Hongyao Lou, Shidian Wen, Mingshan You, Chaojie Xie and 4 more

Abstract read
In one paragraph

Article in Journal of integrative plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
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

14 authors.

Shanshan ZhaiCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0009-0000-8233-073X
Runqi ZhangCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0000-0001-7383-416X
Xinhao MengCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0000-0001-8155-968X
Guoyu LiuCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0009-0006-3548-7834
Jiazheng YuCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0000-0003-1926-7138
Huanwen XuSouthern Zhejiang Key Laboratory of Crop Breeding, Wenzhou Vocational College of Science and Technology, Wenzhou Academy of Agricultural Sciences, Wenzhou, 325006, China.ORCID https://orcid.org/0000-0003-1063-0041
Hongyao LouBeijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.ORCID https://orcid.org/0000-0002-7878-1850
Shidian WenCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0009-0003-9500-6164
Mingshan YouCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0000-0003-4103-0962
Chaojie XieCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0000-0001-6955-3330
Jie LiuCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0000-0002-1415-3847
Zhongfu NiCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0000-0003-4524-7720
Qixin SunCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0000-0002-3819-6892
Baoyun LiCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0000-0002-6794-1150

Funding

China Postdoctoral Science Foundation 2023M743818China Postdoctoral Science Foundation GZC20233050STI2030-Major Projects 2023ZD0406903
6 · The paper itself

Abstract

The SDS-sedimentation volume (SSV) is a critical indicator for assessing wheat gluten quality and is widely used when evaluating wheat processing quality. However, the molecular mechanisms regulating SSV remain poorly understood. In this study, we performed an analysis of quantitative trait loci (QTLs) for SSV using a recombinant inbred line (RIL) population derived from a cross between TAA10 and XX329, and identified four environmentally stable QTLs located on chromosomes 1D, 2D, 4D, and 6D. Among them, the effects of Qssv.cau-1D and Qssv.cau-6D were likely to be explained by genome variations at the Glu-D1 and Gli-D2 loci. We fine mapped Qssv.cau-2D to the candidate causal gene TaSED, encoding a nucleolar protein. Gene-edited TaSED knockout mutants (tased) had a lower SSV, while TaSED overexpression lines showed a higher SSV. We demonstrated that TaSED interacted with the transcription factor TaSPA to enhance its transcriptional activation activity of glutenin and gliadin, whose expression was downregulated in tased and upregulated in TaSED-OE plants, with corresponding differences in glutenin and gliadin content compared with the wild-type. A molecular marker sedTX was further developed based on a nonsynonymous mutation of the parents in TaSED that could be used to identify haplotypes with high SSV effectively. Our findings elucidate a molecular mechanism governing SSV and reveal valuable variants with promising applications for improving wheat quality.

Indexed as

BreadPlant ProteinsTriticumGene Expression Regulation, PlantGliadinGlutensQuantitative Trait LociGliadingluteninGlutensPlant Proteinshaplotype analysisQTLSDS‐sedimentation volumestorage proteinsTaSEDTaSPAwheat

Identifiers

PMID40432505
PMCPMC12315498

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.