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(姜科)的比较质体基因组揭示了 56 种不同切花品种之间多样化的模式。

Comparative Plastomes of (Zingiberaceae) Reveal Diversified Patterns among 56 Different Cut-Flower Cultivars.

机构信息

College of Horticulture, Shanxi Agricultural University, Jinzhong 030801, China.

Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.

出版信息

Genes (Basel). 2023 Aug 31;14(9):1743. doi: 10.3390/genes14091743.

Abstract

(Zingiberaceae) is an ornamental species with high economic value due to its recent rise in popularity among floriculturists. Cultivars within this species have mixed genetic backgrounds from multiple hybridization events and can be difficult to distinguish via morphological and histological methods alone. Given the need to improve identification resources, we carried out the first systematic study using plastomic data wherein genomic evolution and phylogenetic relationships from 56 accessions of were analyzed. The newly assembled plastomes were highly conserved and ranged from 162,139 bp to 164,111 bp, including 79 genes that code for proteins, 30 tRNA genes, and 4 rRNA genes. The A/T motif was the most common of SSRs in the assembled genomes. The / values of most genes were less than 1, and only two genes had / values above 1, which were (1.15), and (1.13) with equal to 1. The sequence divergence between different varieties of was large, and the percentage of variation in coding regions was lower than that in the non-coding regions. Such data will improve cultivar identification, marker assisted breeding, and preservation of germplasm resources.

摘要

(姜科)是一种具有很高经济价值的观赏物种,由于其在花卉爱好者中最近的普及度不断上升。该物种内的品种具有来自多次杂交事件的混合遗传背景,仅通过形态学和组织学方法很难区分。鉴于需要改进鉴定资源,我们使用质体基因组数据进行了首次系统研究,分析了 56 个 的基因组进化和系统发育关系。新组装的质体基因组高度保守,范围从 162139bp 到 164111bp,包括编码蛋白质的 79 个基因、30 个 tRNA 基因和 4 个 rRNA 基因。在组装的基因组中,A/T 基序是 SSR 中最常见的。大多数基因的 / 值都小于 1,只有两个基因的 / 值超过 1,分别是 (1.15)和 (1.13), 等于 1。不同品种的 之间的序列差异很大,编码区的变异百分比低于非编码区。这些数据将提高品种鉴定、标记辅助育种和种质资源保存的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/10531169/cdcbfc2bfeec/genes-14-01743-g001.jpg

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