Evidence map›Paper›PMID 37924000›Full record

ArticleBMC plant biology2023

Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers.

Wenjing Tang, Zhongdong Dong, Lifeng Gao, Xicheng Wang, Tianbao Li, Congwei Sun, Zongli Chu, Dangqun Cui

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Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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5 citing papers in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Wenjing TangCollege of Agronomy/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, 450046, China.
Zhongdong DongCollege of Agronomy/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, 450046, China.
Lifeng GaoInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xicheng WangHenan Academy of Agricultural Sciences, Zhengzhou, 450002, China.
Tianbao LiCollege of Agronomy/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, 450046, China.
Congwei SunCollege of Agronomy/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, 450046, China.
Zongli ChuCollege of Agronomy, Xinyang Agriculture and Forestry University, Xinyang, 464000, China.
Dangqun CuiCollege of Agronomy/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, 450046, China. dangquncui@163.com.

Funding

Major science and technology projects in Henan Province of China 161100110400
6 · The paper itself

Abstract

backgroundHenan is the province with the greatest wheat production in China. Although more than 100 cultivars are used for production, many cultivars are still insufficient in quality, disease resistance, adaptability and yield potential. To overcome these limitations, it is necessary to constantly breed new cultivars to maintain the continuous and stable growth of wheat yield and quality. To improve breeding efficiency, it is important to evaluate the genetic diversity and population genetic structure of its cultivars. However, there are no such reports from Henan Province. Therefore, in this study, single nucleotide polymorphism (SNP) markers were used to study the population genetic structure and genetic diversity of 243 wheat cultivars included in a comparative test of wheat varieties in Henan Province, aiming to provide a reference for the utilization of backbone parents and the selection of hybrid combinations in the genetic improvement of wheat cultivars.

resultsIn this study, 243 wheat cultivars from Henan Province of China were genotyped by the Affymetrix Axiom Wheat660K SNP chip, and 21 characteristics were investigated. The cultivars were divided into ten subgroups; each subgroup had distinct characteristics and unique utilization value. Furthermore, based on principal component analysis, Zhoumai cultivars were the main hybrid parents, followed by Aikang 58, high-quality cultivars, and Shandong cultivars. Genetic diversity analysis showed that 61.3% of SNPs had a high degree of genetic differentiation, whereas 33.4% showed a moderate degree. The nucleotide diversity of subgenome B was relatively high, with an average π value of 3.91E-5; the nucleotide diversity of subgenome D was the lowest, with an average π value of 2.44E-5.

conclusionThe parents used in wheat cross-breeding in Henan Province are similar, with a relatively homogeneous genetic background and low genetic diversity. These results will not only contribute to the objective evaluation and utilization of the tested cultivars but also provide insights into the current conditions and existing challenges of wheat cultivar breeding in Henan Province, thereby facilitating the scientific formulation of breeding objectives and strategies to improve breeding efficiency.

Indexed as

Polymorphism, Single NucleotideTriticumChinaGenetic VariationNucleotidesPlant BreedingNucleotidesGenetic diversityPopulation genetic structurePrincipal component analysisSingle-nucleotide polymorphismWheat

Identifiers

PMID37924000
PMCPMC10625233

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