Guo Xin, He Chunyan, Cheng Fangyun, Zhong Yuan, Cheng Xinyun, Tao Xiwen
Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.
Peony International Institute, School of Landscape Architecture, Beijing Forestry University, Beijing, China.
Front Genet. 2021 Aug 11;12:664814. doi: 10.3389/fgene.2021.664814. eCollection 2021.
Allelic variation in floral quantitative traits, including the elements of flowers and fruits, is caused by extremely complex regulatory processes. In the genetic improvement of flare tree peony (), a unique ornamental and edible oil woody species in the genus , a better understanding of the genetic composition of these complex traits related to flowers and fruits is needed. Therefore, we investigated the genetic diversity and population structure of 160 accessions and conducted single-marker association analysis for 19 quantitative flower and fruit traits using 81 EST-SSR markers. The results showed that the population had a high phenotypic diversity (coefficients of variation, 11.87-110.64%) and a high level of genetic diversity (mean number of alleles, = 6.09). These accessions were divided into three subgroups by STRUCTURE analysis and a neighbor-joining tree. Furthermore, we also found a low level of linkage disequilibrium between these EST-SSRs and, by single-marker association analysis, identified 134 significant associations, including four flower traits with 11 EST-SSRs and 10 fruit traits with 32 EST-SSRs. Finally, based on the sequence alignment of the associated markers, P280, PS2, PS12, PS27, PS118, PS131, and PS145 may be considered potential loci to increase the yield of flare tree peony. These results laid the foundation for further analysis of the genetic structure of some key traits in and had an obvious potential application value in marker-assisted selection breeding.
包括花和果实元素在内的花部数量性状的等位基因变异是由极其复杂的调控过程引起的。在黄牡丹()这一芍药属独特的观赏兼食用油用木本植物的遗传改良中,需要更好地了解这些与花和果实相关的复杂性状的遗传组成。因此,我们对160份黄牡丹种质资源进行了遗传多样性和群体结构研究,并使用81个EST-SSR标记对19个花和果实数量性状进行了单标记关联分析。结果表明,该群体具有较高的表型多样性(变异系数为11.87 - 110.64%)和较高水平的遗传多样性(平均等位基因数, = 6.09)。通过STRUCTURE分析和邻接树,这些种质被分为三个亚组。此外,我们还发现这些EST-SSR之间的连锁不平衡水平较低,通过单标记关联分析,鉴定出134个显著关联位点,包括4个花性状与11个EST-SSR以及10个果实性状与32个EST-SSR。最后,基于关联标记的序列比对,P280、PS2、PS12、PS27、PS118、PS131和PS145可能被视为提高黄牡丹产量的潜在位点。这些结果为进一步分析黄牡丹一些关键性状的遗传结构奠定了基础,在标记辅助选择育种中具有明显的潜在应用价值。