Evidence map›Paper›PMID 39344040›Full record

ArticleThe plant genome2024

Genome-wide association study and KASP marker development for starch quality traits in wheat.

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

Abstract read
In one paragraph

Article in The plant genome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 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

10 authors.

Yousheng TianDepartment of Administrative Management, Xinjiang Academy of Agriculture and Reclamation Sciences, Shihezi, China.ORCID https://orcid.org/0009-0004-3532-0941
Pengpeng LiuInstitute of Crop Science, Xinjiang Academy of Agriculture and Reclamation Sciences, Shihezi, China.
Xin ZhangThe Key Laboratory of the Oasis Ecological Agriculture, College of Agriculture, Shihezi University, Shihezi, China.
Yichen LiuThe Key Laboratory of the Oasis Ecological Agriculture, College of Agriculture, Shihezi University, Shihezi, China.
Dezhen KongInstitute of Crop Science, Xinjiang Academy of Agriculture and Reclamation Sciences, Shihezi, China.
Yingbin NieInstitute of Crop Science, Xinjiang Academy of Agriculture and Reclamation Sciences, Shihezi, China.
Hongjun XuInstitute of Crop Science, Xinjiang Academy of Agriculture and Reclamation Sciences, Shihezi, China.
Xinnian HanInstitute of Crop Science, Xinjiang Academy of Agriculture and Reclamation Sciences, Shihezi, China.
Wei SangInstitute of Crop Science, Xinjiang Academy of Agriculture and Reclamation Sciences, Shihezi, China.
Weihua LiThe Key Laboratory of the Oasis Ecological Agriculture, College of Agriculture, Shihezi University, Shihezi, China.

Funding

The Agricultural Science and Technology Innovation Project of the Xinjiang Production and Construction Corps 202305The Agricultural Technology Public Relations Project of the Xinjiang Production and Construction Corps 2023AA201The Innovation and Entrepreneurship Base Construction Project of Xinjiang Production and Construction Corps 2022CA006The Key Industrial Innovation Technology Projects in Southern Xinjiang of the Xinjiang Production and Construction Corps 2022DB013The 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

Starch is the main component of wheat (Triticum aestivum L.) flour, and its quality directly affects the processing quality of the final product. To investigate the genetic basis of starch, this study assessed the starch quality traits of 341 winter wheat varieties/lines grown in Emin and Qitai during the years 2019-2020 and 2020-2021. A genome-wide association study was conducted with the genotype data obtained from wheat 40K breeding chips using the mixed linear model. Wheat starch quality traits exhibited coefficients of variation ranging from 1.43% to 23.66% and broad-sense heritabilities between 0.37 and 0.87. All traits followed an approximately normal distribution, except for T. There were highly significant correlations among starch quality traits, with the strongest correlation observed between final viscosity (FV) and trough viscosity (TV) (r = 0.748), followed by peak viscosity and breakdown (BD) (r = 0.679). Thirty-four single-nucleotide polymorphism markers significantly and stably associated with starch quality traits were identified, clustering in 31 genetic loci. These included one locus for TV, six loci for BD, three loci for FV, two loci for peak time (PT), 12 loci for T, five loci for falling number, and two loci for damaged starch. One PT-related block of 410 kb was identified in the region of 596 Mb on chromosome 5A, where significant phenotypic differences were observed between different haplotypes. One Kompetitive allele-specific PCR (KASP) marker for T was developed on chromosome 7B, and two KASP markers for BD were developed on chromosome 7A. Four candidate genes possibly affecting BD during grain development were identified on chromosome 7A, including TraesCS7A02G225100.1, TraesCS7A02G225900.1, TraesCS7A02G226400.1, and TraesCS7A02G257100.1. The results have significant implications for utilizing marker-assisted selection in breeding to improve wheat starch quality.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideStarchTriticumGenetic MarkersPhenotypePlant BreedingQuantitative Trait LociGenetic MarkersStarch

Identifiers

PMID39344040
PMCPMC11628900

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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.