Transcriptome analysis of carotenoid biosynthesis in the Brassica campestris L. subsp chinensis var. rosularis Tsen

文献类型： 外文期刊

第一作者： Tian, Hongmei

作者： Tian, Hongmei;Fang, Ling;Zhang, Qi'an;Wang, Mingxia;Wang, Yan;Jia, Li

作者机构：

关键词： Transcriptome; RNA-sequencing; Brassica campestris L. subsp chinensis var.; rosularis Tsen; Carotenoid; Differentially expressed genes; Expression analysis

期刊名称：SCIENTIA HORTICULTURAE （ 影响因子：3.463； 五年影响因子：3.672 ）

ISSN： 0304-4238

年卷期： 2018 年 235 卷

页码：

收录情况： SCI

摘要： Brassica campestris L. subsp. chinensis var. rosularis Tsen is one of important vegetables grown in Yangtze river basin in winter. "Heixinwu" and "Huangxinwu" were two major varieties, and the carotenoid content of "Huangxinwu" was much richer than "Heixinwu". In this study, we used transcriptome sequencing to identify the repertoire of genes expressed between "Heixinwu" and "Huangxinwu", aiming to delineate the molecular mechanisms of carotenoid biosynthesis. A total of 19.02 gigabase pairs (Gbp) of data with 18,920,370 high quality reads were obtained, and 55,076 unigenes with average length of 775.96 base pairs were identified by de novo assembly. Of these, 39,454 unigenes (71.64%) were further annotated by comparison to public protein databases. A total of 13,018 (33.00%) unigenes were mapped into 122 pathways by searching against the Kyoto Encyclopedia of Genes and Genomes Pathway database (KEGG). Differentially expressed genes (DEGs) analysis identified 1184 DEGs from the comparison of "Heixinwu" and "Huangxinwu", including 610 up-regulated and 574 down-regulated genes. Additionally, 14 carotenoid synthase genes were identified from the transcriptome. The expression patterns of the 14 genes related to carotenoid biosynthesis were analyzed by qRT-PCR to explore their putative functions. This transcriptome dataset will aid in understanding and carrying out future studies on the molecular basis of carotenoid formation and contribute to future artificial production and applications.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序