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De Novo Transcriptome Assembly and Population Genetic Analyses for an Endangered Chinese Endemic Acer miaotaiense (Aceraceae)

机译:De Novo转录组组装和种群遗传分析用于濒危的中国特有的宏A苗木科

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摘要

Acer miaotaiense (P. C. Tsoong) is a rare and highly endangered plant in China. Because of the lack of genomic information and the limited number of available molecular markers, there are insufficient tools to determine the genetic diversity of this species. Here, 93,305 unigenes were obtained by multiple assembled contigs with a transcriptome sequencing program. Furthermore, 12,819 expressed sequence tag-derived simple sequence repeat (EST-SSR) markers were generated, 300 were randomly selected and synthesized, 19 primer pairs were identified as highly polymorphic (average number of alleles (Na) = 8, expected heterozygosity (He) = 0.635, polymorphism information content (PIC) = 0.604) and were further used for population genetic analysis. All 261 samples were grouped into two genetic clusters by UPGMA, a principal component analyses and a STRUCTURE analyses. A moderate level of genetic differentiation (genetic differentiation index (Fst) = 0.059–0.116, gene flow = 1.904–3.993) among the populations and the major genetic variance (81.01%) within populations were revealed by the AMOVA. Based on the results, scientific conservation strategies should be established using in situ and ex situ conservation strategies. The study provides useful genetic information for the protection of precious wild resources and for further research on the origin and evolution of this endangered plant and its related species.
机译:苗木宏cer(Acer miaotaiense)(P。C. Tsoong)在中国是一种稀有且高度濒危的植物。由于缺乏基因组信息和可用分子标记的数量有限,因此没有足够的工具来确定该物种的遗传多样性。在这里,通过转录组测序程序通过多个组装的重叠群获得了93,305个单基因。此外,产生了12,819个表达的源自序列标签的简单序列重复(EST-SSR)标记,随机选择和合成了300个,鉴定出19个引物对为高度多态性(平均等位基因数(Na)= 8,预期杂合度(He )= 0.635,多态信息含量(PIC)= 0.604),并进一步用于群体遗传分析。 UPGMA将全部261个样本分为两个遗传簇,分别进行主成分分析和结构分析。 AMOVA揭示了人群之间的中等遗传分化水平(遗传分化指数(Fst)= 0.059–0.116,基因流= 1.904–3.993)和人群中主要的遗传变异(81.01%)。根据结果​​,应使用原位和非原位保护策略建立科学的保护策略。该研究为保护珍贵的野生资源和对该濒危植物及其相关物种的起源和进化提供了进一步的有用信息。

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