Rahimi Mehdi, Ranjbaran Elaheh
Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran.
Physiol Mol Biol Plants. 2023 Mar;29(3):421-433. doi: 10.1007/s12298-023-01296-7. Epub 2023 Mar 21.
Sickleweed () is important due to its nutritional value and medicinal effects on the human body. The 15 different Sickleweed populations were collected based on an unbalanced nest design with 10 replications and nine morphological traits were measured on them. The diversity was investigated with 15 primers of SCoT marker. The genetic diversity was investigated by ANOVA, cluster analysis and Bayesian statistical model based on morphological traits, bioclimatic and SCoT. Grouping the study areas based on bioclimatic parameters by UPGMA method showed that these areas were divided into two groups and were similar in terms of climatic similarities and bioclimatic information. The results of analysis of variance showed that there was a significant difference between populations at the level of one percent for the studied traits. The cluster analysis based traits by the UPGMA method divided these populations into two groups. The phenotypic diversity of these populations was largely consistent with the geographical diversity. The primers used for SCoT marker produced 137 polymorphic bands on the populations, The UPGMA cluster analysis with molecular data placed the studied populations into three groups and four subgroups. Grouping based on the Bayesian method placed the populations into nine groups, although the populations were not differentiated and were a mixture of all nine groups. High genetic diversity for the studied Sickleweed populations have showed valuable insights into the evolution of this plant and provides basic data for designing appropriate management practices for breeding Sickleweed populations.
抱茎小苦荬因其营养价值和对人体的药用功效而具有重要意义。基于不平衡巢式设计收集了15个不同的抱茎小苦荬种群，每个种群有10次重复，并对其9个形态性状进行了测量。使用15个SCoT标记引物对其多样性进行了研究。基于形态性状、生物气候和SCoT对遗传多样性进行了方差分析、聚类分析和贝叶斯统计模型分析。通过UPGMA方法根据生物气候参数对研究区域进行分组，结果表明这些区域被分为两组，在气候相似性和生物气候信息方面具有相似性。方差分析结果表明，在所研究的性状水平上，不同种群之间存在1%水平的显著差异。通过UPGMA方法基于性状进行的聚类分析将这些种群分为两组。这些种群的表型多样性在很大程度上与地理多样性一致。用于SCoT标记的引物在种群上产生了137条多态性条带，基于分子数据的UPGMA聚类分析将研究的种群分为三组和四个亚组。基于贝叶斯方法的分组将种群分为九组，尽管这些种群没有分化，是所有九组的混合。所研究的抱茎小苦荬种群的高遗传多样性为该植物的进化提供了有价值的见解，并为设计合适的抱茎小苦荬种群育种管理实践提供了基础数据。
