| PeerJ | |
| Application of EST-SSR markers developed from the transcriptome of Torreya grandis (Taxaceae), a threatened nut-yielding conifer tree | |
| article | |
| Jun Zeng1  Jie Chen2  Yixuan Kou3  Yujin Wang2  | |
| [1] Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences;State Key Laboratory of Grassland Agro-Ecosystems, School of Life Sciences, Lanzhou University;Laboratory of Subtropical Biodiversity, School of Agricultural Sciences, Jiangxi Agricultural University | |
| 关键词: Torreya grandis; Transcriptome; EST-SSRs; Population structure; | |
| DOI : 10.7717/peerj.5606 | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: Inra | |
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【 摘 要 】
Torreya grandis (Taxaceae) is an ancient conifer species endemic to southeast China. Because of its nutrient-rich and delicious seeds, this species has been utilized for centuries by the Chinese. However, transcriptome data and transcriptome-derived microsatellite markers for population genetics studies are still insufficient for understanding of this species’ genetic basis. In this study, a transcriptome from T. grandis leaves was generated using Illumina sequencing. A total of 69,920 unigenes were generated after de novo assembly, and annotated by searching against seven protein databases. In addition, 2,065 expressed sequence tag–simple sequence repeats (EST-SSRs) were detected, with the distribution frequency of 2.75% of total unigenes and average number of 0.03 SSRs per unigene. Among these EST-SSRs, 1,339 primer pairs were successfully designed, and 106 primer pairs were randomly selected for the development of potential molecular markers. Among them, 11 EST-SSR markers revealed a moderate level of genetic diversity, and were used to investigate the population structure of T. grandis. Two different genetic groups within this species were revealed using these EST-SSR markers, indicating that these markers developed in this study can be effectively applied to the population genetic analysis of T. grandis.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202307100011734ZK.pdf | 1992KB |
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