Cargando…
Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers
BACKGROUND: Henan 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 constantl...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625233/ https://www.ncbi.nlm.nih.gov/pubmed/37924000 http://dx.doi.org/10.1186/s12870-023-04537-9 |
_version_ | 1785131087665561600 |
---|---|
author | Tang, Wenjing Dong, Zhongdong Gao, Lifeng Wang, Xicheng Li, Tianbao Sun, Congwei Chu, Zongli Cui, Dangqun |
author_facet | Tang, Wenjing Dong, Zhongdong Gao, Lifeng Wang, Xicheng Li, Tianbao Sun, Congwei Chu, Zongli Cui, Dangqun |
author_sort | Tang, Wenjing |
collection | PubMed |
description | BACKGROUND: Henan 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. RESULTS: In 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. CONCLUSION: The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04537-9. |
format | Online Article Text |
id | pubmed-10625233 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106252332023-11-05 Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers Tang, Wenjing Dong, Zhongdong Gao, Lifeng Wang, Xicheng Li, Tianbao Sun, Congwei Chu, Zongli Cui, Dangqun BMC Plant Biol Research BACKGROUND: Henan 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. RESULTS: In 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. CONCLUSION: The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04537-9. BioMed Central 2023-11-04 /pmc/articles/PMC10625233/ /pubmed/37924000 http://dx.doi.org/10.1186/s12870-023-04537-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Tang, Wenjing Dong, Zhongdong Gao, Lifeng Wang, Xicheng Li, Tianbao Sun, Congwei Chu, Zongli Cui, Dangqun Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers |
title | Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers |
title_full | Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers |
title_fullStr | Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers |
title_full_unstemmed | Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers |
title_short | Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers |
title_sort | genetic diversity and population structure of modern wheat (triticum aestivum l.) cultivars in henan province of china based on snp markers |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625233/ https://www.ncbi.nlm.nih.gov/pubmed/37924000 http://dx.doi.org/10.1186/s12870-023-04537-9 |
work_keys_str_mv | AT tangwenjing geneticdiversityandpopulationstructureofmodernwheattriticumaestivumlcultivarsinhenanprovinceofchinabasedonsnpmarkers AT dongzhongdong geneticdiversityandpopulationstructureofmodernwheattriticumaestivumlcultivarsinhenanprovinceofchinabasedonsnpmarkers AT gaolifeng geneticdiversityandpopulationstructureofmodernwheattriticumaestivumlcultivarsinhenanprovinceofchinabasedonsnpmarkers AT wangxicheng geneticdiversityandpopulationstructureofmodernwheattriticumaestivumlcultivarsinhenanprovinceofchinabasedonsnpmarkers AT litianbao geneticdiversityandpopulationstructureofmodernwheattriticumaestivumlcultivarsinhenanprovinceofchinabasedonsnpmarkers AT suncongwei geneticdiversityandpopulationstructureofmodernwheattriticumaestivumlcultivarsinhenanprovinceofchinabasedonsnpmarkers AT chuzongli geneticdiversityandpopulationstructureofmodernwheattriticumaestivumlcultivarsinhenanprovinceofchinabasedonsnpmarkers AT cuidangqun geneticdiversityandpopulationstructureofmodernwheattriticumaestivumlcultivarsinhenanprovinceofchinabasedonsnpmarkers |