College of Forestry, Shenyang Agricultural University, Shenyang, Liaoning, China.
PLoS One. 2022 Jun 3;17(6):e0269424. doi: 10.1371/journal.pone.0269424. eCollection 2022.
The genetic diversity and genetic structure of P. armeniaca var. ansu were analyzed based on SSR markers. The aim was to provide scientific basis for conservation, efficient utilization, molecular marker assisted breeding and improved variety selection of P. armeniaca var. ansu germplasm resources. The results showed that the level of genetic diversity within the population was high. Among the 30 SSR markers, the mean number of observed alleles was 11.433, the mean number of effective alleles was 4.433, the mean of Shannon information index was 1.670, and the mean of polymorphic information content was 0.670. Among the eight provenances, Tuanjie Township, Xinyuan County, Xinjiang had the highest genetic diversity. The observed alleles, effective alleles, Shannon information index and Nei's gene diversity index among provenances were higher than those within provenances. Based on Bayesian mathematical modeling and UPGMA cluster analysis, 86 P. armeniaca var. ansu accessions were divided into three subpopulations and four groups, which reflected individual differences in provenances. Subpopulations classified by Bayesian mathematical modeling and groups classified by UPGMA cluster analysis were significantly correlated with geographical provenance (Sig<0.01) and the provenances significantly impacted classification of groups. The provenances played an important role in classification of groups. The genetic distance between Tuanjie Township of Xinyuan County and Alemale Township of Xinyuan County was the smallest, while the genetic relationship between them was the closest and the degree of genetic differentiation was small.
利用 SSR 标记分析了安塞甜杏仁的遗传多样性和遗传结构。旨在为安塞甜杏仁种质资源的保护、高效利用、分子标记辅助育种和品种改良提供科学依据。结果表明,群体内遗传多样性水平较高。在 30 个 SSR 标记中,观察等位基因数的平均值为 11.433,有效等位基因数的平均值为 4.433,Shannon 信息指数的平均值为 1.670,多态信息含量的平均值为 0.670。在 8 个起源地中,新疆新源县团结乡遗传多样性最高。起源地间观察等位基因数、有效等位基因数、Shannon 信息指数和 Nei 基因多样性指数均高于起源地内。基于贝叶斯数学建模和 UPGMA 聚类分析,将 86 份安塞甜杏仁分为 3 个亚群和 4 个组,反映了起源地的个体差异。贝叶斯数学建模分类的亚群和 UPGMA 聚类分析分类的组与地理起源地显著相关(Sig<0.01),起源地显著影响组的分类。起源地在组的分类中起着重要作用。新源县团结乡与新源县阿勒玛勒乡的遗传距离最小,遗传关系最密切,遗传分化程度较小。