……中的转录组测序与单核苷酸多态性检测
Transcriptome sequencing and SNP detection in .
作者信息
He Bing, Li Yingang, Ni Zhouxian, Xu Li-An
机构信息
Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
Zhejiang Academy of Forestry, Zhejiang Academy of Forestry, Hangzhou, China.
出版信息
PeerJ. 2017 May 10;5:e3193. doi: 10.7717/peerj.3193. eCollection 2017.
BACKGROUND
is a rare tree species that is only distributed in south-eastern China. Although this species is famous for its excellent wood properties, it has not been extensively studied at the molecular level.
RESULTS
Here, the transcriptome of was sequenced using next-generation sequencing technology, and 75,647 transcripts with 48,011 unigenes were assembled and annotated. In addition, 162,938 putative single nucleotide polymorphisms (SNPs) were predicted and 25 were further validated using the Sanger method.
CONCLUSION
The currently available SNP prediction software packages showed low levels of correspondence when compared. The transcriptome and SNPs will contribute to the exploration of genetic resources and the understanding of its molecular mechanisms.
背景
是一种仅分布于中国东南部的珍稀树种。尽管该树种因其优良的木材特性而闻名，但尚未在分子水平上得到广泛研究。
结果
在此，利用下一代测序技术对的转录组进行了测序，组装并注释了75,647个转录本和48,011个单基因。此外，预测了162,938个推定的单核苷酸多态性（SNP），并使用桑格法进一步验证了25个。
结论
与目前可用的SNP预测软件包相比，其对应水平较低。转录组和SNP将有助于探索的遗传资源并了解其分子机制。
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