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遗传和植物化学研究,以了解药用重要树种 Saraca asoca 的种群变异性,以帮助制定保护策略。

Genetic and phytochemical investigations for understanding population variability of the medicinally important tree Saraca asoca to help develop conservation strategies.

机构信息

ICMR - National Institute of Traditional Medicine, Indian Council of Medical Research, Department of Health Research, Government of India, Belagavi, Karnataka, 590010, India; KLE Academy of Higher Education and Research (Deemed-to-be-University), Dr. Prabhakar Kore Basic Science Research Center, Belagavi, Karnataka, 590010, India.

Amity Institute of Biotechnology, Amity University, Mumbai - Pune Expressway, Bhatan, Post - Somathne, Panvel, Mumbai, Maharashtra, 410206, India.

出版信息

Phytochemistry. 2018 Dec;156:43-54. doi: 10.1016/j.phytochem.2018.08.016. Epub 2018 Sep 4.

Abstract

Saraca asoca (Roxb.) De Wilde (Caesalpiniaceae) is a highly traded IUCN red listed tree species used in Ayurvedic medicines for the treatment of various disorders, especially gynaecological problems. However, information about the genetic variations between populations and corresponding variation in specialized metabolites of S. asoca remains unclear. To address this issue, we analysed 11 populations of S. asoca with 106 accessions collected from Western Ghats of India using ISSR markers along with selected phytocompounds using RP-HPLC. Twenty primers were screened, out of which seven were selected for further analysis based on generation of clear polymorphic banding patterns. These seven ISSR primers produced 74 polymorphic loci. AMOVA showed 43% genetic variation within populations and 57% among the populations of S. asoca. To estimate the genetic relationships among S. asoca populations, UPGMA and Bayesian Models were constructed, which revealed two clusters of similar grouping patterns. However, excluding minor deviations, UPGMA and dissimilarity analysis showed close association of genotypes according to their geographical locations. Catechin (CAT), epicatechin (EPI) and gallic acid (GA) were quantified from bark and leaf samples of corresponding genotypes collected from 106 accessions. ROC plots depicted the sensitivity and specificity of the concentrations of tested phytocompounds at various cut-off points. Although, multiple logistic regression analysis predicted some association between few loci with GA, EPI and CAT, but PCA for phytochemical data failed to distinguish the populations. Overall, there were no significant trends observed to distinguish the populations based on these phytocompounds. Furthermore, the study advocates the delineate provenance regions of S. asoca genotypes/chemotype snapshots for in-situ conservation and ex-situ cultivation.

摘要

无忧树(Saraca asoca)(罗比尼亚科)是一种高度交易的 IUCN 红色名录树种,用于治疗各种疾病,尤其是妇科问题的阿育吠陀医学。然而,关于无忧树种群之间的遗传变异以及相应的特殊代谢物变异的信息尚不清楚。为了解决这个问题,我们使用 ISSR 标记和选定的 RP-HPLC 分析了来自印度西高止山脉的 11 个无忧树种群的 106 个个体。筛选了 20 个引物,其中 7 个根据产生清晰的多态带模式的情况被选中进行进一步分析。这七个 ISSR 引物产生了 74 个多态性位点。AMOVA 显示,43%的遗传变异存在于种群内部,57%的遗传变异存在于无忧树种群之间。为了估计无忧树种群之间的遗传关系,构建了 UPGMA 和贝叶斯模型,这揭示了两个具有相似分组模式的聚类。然而,除了小的偏差外,UPGMA 和不相似性分析显示,根据地理位置,基因型之间存在密切的关联。从来自 106 个个体的对应基因型的树皮和叶片样本中定量了儿茶素(CAT)、表儿茶素(EPI)和没食子酸(GA)。ROC 图描绘了在不同截止点下测试植物化合物浓度的敏感性和特异性。虽然,多元逻辑回归分析预测了少数基因座与 GA、EPI 和 CAT 之间的一些关联,但 PCA 对植物化学数据的分析未能区分种群。总体而言,没有观察到基于这些植物化学物质区分种群的显著趋势。此外,该研究主张划定无忧树基因型/化学型快照的起源地区,以进行就地保护和异地栽培。

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