Mbhele Zoliswa, Zharare Godfrey Elijah, Zimudzi Clemence, Ntuli Nontuthuko Rosemary
Department of Botany, Faculty of Science, Agriculture and Engineering, University of Zululand, KwaDlangezwa 3886, South Africa.
Department of Agriculture, University of Zululand, KwaDlangezwa 3886, South Africa.
Plants (Basel). 2023 Jul 28;12(15):2810. doi: 10.3390/plants12152810.
Lam., commonly known as green monkey orange, is a highly valued indigenous fruit tree in South Africa with potential for domestication and commercialization. However, no study has reported on the molecular diversity of morphotypes. Therefore, this study aimed to determine genetic variation among 32 morphotypes using simple sequence repeat (SSR) markers. Fourteen amplified SSR markers produced 159 alleles, with a mean of 5.68 per locus. The polymorphic information content (PIC) values ranged from 0.22 (Ssp_1) to 0.84 (Ssp_6). Morphotypes were clustered in a biplot based on their genetic distances. The dendrogram chiefly discriminated morphotypes according to variation of pericarp texture. The population structure had the highest delta value K = 3, thus the 32 morphotypes were divided into three subpopulations based on the Bayesian approach. The affinities produced by the population structure agreed with the genetic distance of closely related morphotypes. This study is the first to report on SSR marker development and their successful use for genetic diversity and population structure studies of . It provides insights into the molecular characterisation of . This can lead to breeding programs and crop improvement programs, particularly in varietal developmental programs, which can contribute to alleviating food security challenges.
拉姆(Lam.),通常被称为绿猴橙,是南非一种极具价值的本土果树,具有驯化和商业化的潜力。然而,尚无关于形态型分子多样性的研究报道。因此,本研究旨在利用简单序列重复(SSR)标记确定32种形态型之间的遗传变异。14个扩增的SSR标记产生了159个等位基因,每个位点平均5.68个。多态信息含量(PIC)值范围为0.22(Ssp_1)至0.84(Ssp_6)。形态型根据其遗传距离聚类在双标图中。聚类图主要根据果皮质地的变化区分形态型。群体结构的最高delta值K = 3,因此基于贝叶斯方法将32种形态型分为三个亚群。群体结构产生的亲缘关系与密切相关形态型的遗传距离一致。本研究首次报道了SSR标记的开发及其在[物种名称]遗传多样性和群体结构研究中的成功应用。它为[物种名称]的分子特征提供了见解。这可以推动育种计划和作物改良计划,特别是在品种开发计划中,有助于缓解粮食安全挑战。