Department of Plant Sciences and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
Department of Plant Sciences, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.
Biochem Genet. 2023 Dec;61(6):2260-2275. doi: 10.1007/s10528-023-10362-4. Epub 2023 Apr 3.
The genus Avicennia with eight species grow in intertidal zones of tropical and temperate regions, ranging in distribution from West Asia, to Australia, and Latin America. These mangroves have several medicinal applications for mankind. Many genetic and phylogenetic studies have been carried out on mangroves, but none is concerned with geographical adaptation of SNPs. We therefore, used ITS sequences of about 120 Avicennia taxa growing in different parts of the world and undertook computational analyses to identify discriminating SNPs among these species and to study their association with geographical variables. A combination of multivariate and Bayesian approaches such as CCA, RDA, and LFMM were conducted to identify the SNPs with potential adaptation to geographical and ecological variables. Manhattan plot revealed that many of these SNPs are significantly associated with these variables. The genetic changes accompanied by local and geographical adaptation were illustrated by skyline plot. These genetic changes occurred not under a molecular clock model of evolution and probably under a positive selection pressure imposed in different geographical regions in which these plants grow.
属植物海桑属有 8 种，生长在热带和温带地区的潮间带，分布范围从西亚到澳大利亚和拉丁美洲。这些红树林对人类有多种药用用途。已经对红树林进行了许多遗传和系统发育研究，但没有一项研究涉及 SNP 的地理适应性。因此，我们使用了约 120 种生长在世界不同地区的海桑属 Taxa 的 ITS 序列，并进行了计算分析，以鉴定这些物种之间具有鉴别力的 SNP，并研究它们与地理变量的关联。我们采用了多种多元和贝叶斯方法，如 CCA、RDA 和 LFMM，来识别具有潜在地理和生态变量适应性的 SNP。曼哈顿图显示，其中许多 SNP 与这些变量显著相关。通过天际线图说明了伴随局部和地理适应性的遗传变化。这些遗传变化不是在进化的分子钟模型下发生的，而是在这些植物生长的不同地理区域施加的正选择压力下发生的。
