比较四种药用和观赏绿绒蒿物种的完整叶绿体基因组:基因组结构与物种鉴别。

Comparison of Four Complete Chloroplast Genomes of Medicinal and Ornamental Meconopsis Species: Genome Organization and Species Discrimination.

机构信息

College of Life Science, Nankai University, Weijin Road 94, 300071, Tianjin, China.

Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Poyang Lake Road 10, 301617, Tianjin, China.

出版信息

Sci Rep. 2019 Jul 22;9(1):10567. doi: 10.1038/s41598-019-47008-8.

Abstract

High-throughput sequencing of chloroplast genomes has been used to gain insight into the evolutionary relationships of plant species. In this study, we sequenced the complete chloroplast genomes of four species in the Meconopsis genus: M. racemosa, M. integrifolia (Maxim.) Franch, M. horridula and M. punicea. These plants grow in the wild and are recognized as having important medicinal and ornamental applications. The sequencing results showed that the size of the Meconopsis chloroplast genome ranges from 151864 to 153816 bp. A total of 127 genes comprising 90 protein-coding genes, 37 tRNA genes and 8 rRNA genes were observed in all four chloroplast genomes. Comparative analysis of the four chloroplast genomes revealed five hotspot regions (matK, rpoC2, petA, ndhF, and ycf1), which could potentially be used as unique molecular markers for species identification. In addition, the ycf1 gene may also be used as an effective molecular marker to distinguish Papaveraceae and determine the evolutionary relationships among plant species in the Papaveraceae family. Futhermore, these four genomes can provide valuable genetic information for other related studies.

摘要

高通量测序叶绿体基因组已被用于深入了解植物物种的进化关系。在这项研究中,我们对四个绿绒蒿属物种的完整叶绿体基因组进行了测序:全缘绿绒蒿、秀丽绿绒蒿(Maxim.)Franch、黄花绿绒蒿和总状绿绒蒿。这些植物生长在野外,被认为具有重要的药用和观赏应用价值。测序结果表明,绿绒蒿叶绿体基因组的大小在 151864 到 153816bp 之间。在所有四个叶绿体基因组中,共观察到 127 个基因,包括 90 个蛋白质编码基因、37 个 tRNA 基因和 8 个 rRNA 基因。对四个叶绿体基因组的比较分析发现了五个热点区域(matK、rpoC2、petA、ndhF 和 ycf1),这些区域可能可作为物种鉴定的独特分子标记。此外,ycf1 基因也可用作有效分子标记,以区分罂粟科,并确定罂粟科植物物种之间的进化关系。此外,这四个基因组可以为其他相关研究提供有价值的遗传信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4517/6646306/fa7e10942559/41598_2019_47008_Fig1_HTML.jpg

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