Comparative Plastomes of Curcuma alismatifolia (Zingiberaceae) Reveal Diversified Patterns among 56 Different Cut-Flower Cultivars
文献类型： 外文期刊
作者： Wang, Jie 1 ; Liao, Xuezhu 2 ; Li, Yongyao 2 ; Ye, Yuanjun 3 ; Xing, Guoming 1 ; Kan, Shenglong 2 ; Nie, Liyun 2 ; Li, Sen 1 ; Tembrock, Luke R. 4 ; Wu, Zhiqiang 2 ;
作者机构： 1.Shanxi Agr Univ, Coll Hort, Jinzhong 030801, Peoples R China
2.Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Shenzhen Branch,Genome Anal Lab Minist Agr, Guangdong Lab Lingnan Modern Agr, Shenzhen 518120, Peoples R China
3.Guangdong Acad Agr Sci, Environm Hort Res Inst, Guangdong Prov Key Lab Ornamental Plant Germplasm, Guangzhou 510640, Peoples R China
4.Colorado State Univ, Dept Agr Biol, Ft Collins, CO 80523 USA
关键词： plastomes; comparative analyses; phylogeny; ornamental horticulture; Curcuma alismatifolia; siam tulip
期刊名称：GENES （ 影响因子：3.5； 五年影响因子：3.9 ）
ISSN：
年卷期： 2023 年 14 卷 9 期
页码：
收录情况： SCI
摘要： Curcuma alismatifolia (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 C. alismatifolia 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 Ka/Ks values of most genes were less than 1, and only two genes had Ka/Ks values above 1, which were rps15 (1.15), and ndhl (1.13) with petA equal to 1. The sequence divergence between different varieties of C. alismatifolia 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.
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