Pipan Barbara, Sinkovič Lovro, Neji Mohamed, Janovská Dagmar, Zhou Meiliang, Meglič Vladimir
Crop Science Department, Agricultural Institute of Slovenia, Hacquetocva ulica 17, SI-1000 Ljubljana, Slovenia.
Gene Bank, Crop Research Institute, Drnovská 507, 161 06 Prague, Czech Republic.
Plants (Basel). 2023 Sep 20;12(18):3321. doi: 10.3390/plants12183321.
Characterisation of genetic diversity is critical to adequately exploit the potential of germplasm collections and identify important traits for breeding programs and sustainable crop improvement. Here, we characterised the phenotypic and genetic diversity of a global collection of the two cultivated buckwheat species and (190 and 51 accessions, respectively) using 37 agro-morphological traits and 24 SSR markers. A wide range of variation was observed in both species for most of the traits analysed. The two species differed significantly in most traits, with traits related to seeds and flowering contributing most to differentiation. The accessions of each species were divided into three major phenoclusters with no clear geographic clustering. At the molecular level, the polymorphic SSR markers were highly informative, with an average polymorphic information content (PIC) of over 0.65 in both species. Genetic diversity, as determined by Nei's expected heterozygosity (He), was high (He = 0.77 and He = 0.66, respectively) and differed significantly between species ( = 0.03) but was homogeneously distributed between regions, confirming the lack of genetic structure as determined by clustering approaches. The weak genetic structure revealed by the phenotypic and SSR data and the low fixation indices in both species suggested frequent seed exchange and extensive cultivation and selection. In addition, 93 and 140 significant ( < 0.05) marker-trait associations (MTAs) were identified in both species using a general linear model and a mixed linear model, most of which explained >20% of the phenotypic variation in associated traits. Core collections of 23 and 13 phenotypically and genetically diverse accessions, respectively, were developed for and . Overall, the data analysed provided deep insights into the agro-morphological and genetic diversity and genetic relationships among and accessions and pointed to future directions for genomics-based breeding programs and germplasm management.
遗传多样性的表征对于充分挖掘种质资源库的潜力以及确定育种计划和可持续作物改良的重要性状至关重要。在此,我们利用37个农艺形态性状和24个SSR标记,对两种栽培荞麦(分别为190份和51份种质)的全球收集品系的表型和遗传多样性进行了表征。在所分析的大多数性状中,两个物种均观察到广泛的变异。两个物种在大多数性状上存在显著差异,其中与种子和开花相关的性状对差异的贡献最大。每个物种的种质被分为三个主要的表型聚类,没有明显的地理聚类。在分子水平上,多态性SSR标记具有很高的信息含量,两个物种的平均多态信息含量(PIC)均超过0.65。由Nei's预期杂合度(He)确定的遗传多样性很高(分别为He = 0.77和He = 0.66),并且物种间差异显著( = 0.03),但在区域间均匀分布,这证实了聚类方法确定的缺乏遗传结构。表型和SSR数据揭示的弱遗传结构以及两个物种中较低的固定指数表明种子交换频繁以及广泛的种植和选择。此外,使用一般线性模型和混合线性模型在两个物种中分别鉴定出93个和140个显著( < 0.05)的标记-性状关联(MTA),其中大多数解释了相关性状中>20%的表型变异。分别为 和 开发了由23份和13份表型和遗传多样的种质组成的核心种质库。总体而言,所分析的数据为 和 种质间的农艺形态和遗传多样性以及遗传关系提供了深入见解,并指出了基于基因组学的育种计划和种质管理的未来方向。