Genetic diversity and genetic structure of local pear cultivars in Xinjiang based on SNP markers

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Qingrui Bi , Dongsheng Cui , Guoquan Fan , Shikui Zhang , Shaopeng Wang , Yingying Niu , Shirong Zhao
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引用次数: 0

Abstract

Background

Xinjiang is rich in pear varieties, and the genetic relationships among some local cultivars are not clear, which leads to classification controversy. To improve the breeding efficiency of high-quality cultivars, the genetic diversity and genetic structure of these cultivars were accurately evaluated. In this study, single nucleotide polymorphism (SNP) marker technology was used to study the genetic diversity and genetic structure of some local pear cultivars in Xinjiang, aiming to provide reference information for genetic improvement and hybrid combination selection of pear cultivars.

Results

In this study, 8,895,117 high-quality SNP loci were successfully developed and used for genetic diversity analysis. The results showed that the genetic differentiation among Xinjiang local pears was low, but nucleotide diversity was high with an average π value of 0. 0043. The tested cultivars were divided into five subgroups for genetic structure analysis. During the period of 4 to 7 million years, the number of pear populations was the largest, and pears developed rapidly during this period.

Conclusions

The genetic background of Xinjiang local pear cultivars is complex, the polymorphism is low, and the degree of uncertainty is high. The results of this study help to objectively evaluate excellent germplasm resources, effectively improve breeding efficiency, and help researchers set more scientific breeding goals.
基于SNP标记的新疆地方梨栽培品种的遗传多样性和遗传结构
背景新疆梨品种丰富,部分地方栽培品种之间的遗传关系不明确,导致分类争议。为了提高优质品种的育种效率,需要准确评价这些品种的遗传多样性和遗传结构。本研究利用单核苷酸多态性(SNP)标记技术研究了新疆部分地方梨栽培品种的遗传多样性和遗传结构,旨在为梨栽培品种的遗传改良和杂交组合选择提供参考信息。结果表明,新疆本地梨的遗传分化程度较低,但核苷酸多样性较高,平均π值为 0.受试品种被分为五个亚组进行遗传结构分析。结论 新疆地方梨品种的遗传背景复杂,多态性低,不确定性高。本研究结果有助于客观评价优良种质资源,有效提高育种效率,帮助科研人员制定更加科学的育种目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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