Evidence map›Paper›PMID 39910434›Full record

ArticleBMC plant biology2025

Genome-wide association analysis and KASP markers development for protein quality traits in winter wheat.

Yousheng Tian, Pengpeng Liu, Dezhen Kong, Yingbin Nie, Hongjun Xu, Xinnian Han, Wei Sang, Weihua Li

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

8 authors.

Yousheng TianCotton Research Institute, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, 832000, China.
Pengpeng LiuInstitute of Crop Science, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, 832000, China.
Dezhen KongInstitute of Crop Science, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, 832000, China.
Yingbin NieInstitute of Crop Science, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, 832000, China.
Hongjun XuInstitute of Crop Science, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, 832000, China.
Xinnian HanInstitute of Crop Science, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, 832000, China.
Wei SangInstitute of Crop Science, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, 832000, China. swlw_ren@126.com.
Weihua LiThe Key Laboratory of the Oasis Ecological Agriculture, College of Agriculture, Shihezi University, Shihezi, 832003, China. lwh_agr@shzu.edu.cn.

Funding

Agricultural Technology Public Relations Project of the Xinjiang Production and Construction Corps 2023AA201he Key Industrial Innovation Technology Projects in Southern Xinjiang of the Xinjiang Production and Construction Corps 2022DB013the Innovation and Entrepreneurship Base Construction Project of Xinjiang Production and Construction Corps 2022CA006the International Science and Technology Cooperation Program Project of Xinjiang Production and Construction Corps 2019BC003the National Natural Science Foundation of China 31560391The Technology Innovation Engineering Technology Cooperation Project of the Xinjiang Production and Construction Corps 2024BA001
6 · The paper itself

Abstract

backgroundWheat (Triticum aestivum L.) is a significant cereal crop that plays a vital role in global food production. To expedite the breeding of wheat cultivars with high protein quality, it is necessary to genetically analyze the traits related to quality. A genome-wide association study (GWAS) was conducted to identify the genomic regions responsible for protein quality traits in winter wheat.

resultsSix protein quality traits were evaluated across two locations and two years for a total of 341 wheat accessions. Utilizing the wheat 40 K SNP array, GWAS identified 97 significantly stable SNPs at 43 loci for five out of six protein quality traits using a linear mixed model. The 43 loci distribution was four for grain protein content, two for flour protein content, one for wet gluten content, four for gluten index, and thirty-two for Zeleny sedimentation value. The most significant associations were identified on chromosomes 1 A, 1B, and 1D. Haplotype analysis of loci associated with the gluten index in the 412-416 Mb interval on chromosome 1D identified three blocks. Accessions with superior haplotypes showed a significantly higher gluten index than those with inferior haplotypes. Six KASP markers were successfully developed for the gluten index, while five KASP markers were developed for the Zeleny sedimentation value. Additionally, eight candidate genes were identified that may affect protein accumulation during grain development.

conclusionsOur study identified 97 SNPs significantly associated with protein quality traits; developed 6 KASP markers for gluten index, and 5 KASP markers for Zeleny sedimentation values; screened 8 candidate genes that may be related to protein quality during grain development. Thise research will offer valuable insights for wheat breeding programs in China and globally.

Indexed as

Plant ProteinsTriticumGenetic MarkersGenome-Wide Association StudyGlutensHaplotypesPhenotypePolymorphism, Single NucleotideQuantitative Trait LociGenetic MarkersGlutensPlant ProteinsCandidate genesGWASKASPProtein qualityWheat

Identifiers

PMID39910434
PMCPMC11796262

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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.