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基因组范围内的可变剪接和非编码 RNA 分析揭示了 L. 中复杂的转录调控

Genome-Wide Analysis of Alternative Splicing and Non-Coding RNAs Reveal Complicated Transcriptional Regulation in L.

机构信息

Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.

Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China.

出版信息

Int J Mol Sci. 2021 Nov 5;22(21):11989. doi: 10.3390/ijms222111989.

Abstract

It is of significance to mine the structural genes related to the biosynthetic pathway of fatty acid (FA) and cellulose as well as explore the regulatory mechanism of alternative splicing (AS), microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in the biosynthesis of cannabinoids, FA and cellulose, which would enhance the knowledge of gene expression and regulation at post-transcriptional level in L. In this study, transcriptome, small RNA and degradome libraries of hemp 'Yunma No.1' were established, and comprehensive analysis was performed. As a result, a total of 154, 32 and 331 transcripts encoding key enzymes involved in the biosynthesis of cannabinoids, FA and cellulose were predicted, respectively, among which AS occurred in 368 transcripts. Moreover, 183 conserved miRNAs, 380 -specific miRNAs and 7783 lncRNAs were predicted. Among them, 70 miRNAs and 17 lncRNAs potentially targeted 13 and 17 transcripts, respectively, encoding key enzymes or transporters involved in the biosynthesis of cannabinoids, cellulose or FA. Finally, the crosstalk between AS and miRNAs or lncRNAs involved in cannabinoids and cellulose was also predicted. In summary, all these results provided insights into the complicated network of gene expression and regulation in .

摘要

挖掘与大麻素、脂肪酸 (FA) 和纤维素生物合成途径相关的结构基因,并探索大麻素、FA 和纤维素生物合成过程中可变剪接 (AS)、microRNAs (miRNAs) 和长非编码 RNA (lncRNAs) 的调控机制,这对于增强对 L. 在转录后水平的基因表达和调控的认识具有重要意义。在本研究中,建立了大麻‘云麻 1 号’的转录组、小 RNA 和降解组文库,并进行了综合分析。结果共预测了 154 个、32 个和 331 个分别编码大麻素、FA 和纤维素生物合成关键酶的转录本,其中 368 个转录本发生了 AS。此外,还预测了 183 个保守 miRNAs、380 个特异性 miRNAs 和 7783 个 lncRNAs。其中,70 个 miRNAs 和 17 个 lncRNAs 分别靶向了 13 个和 17 个编码大麻素、纤维素或 FA 生物合成关键酶或转运蛋白的转录本。最后,还预测了参与大麻素和纤维素的 AS 与 miRNAs 或 lncRNAs 之间的串扰。总之,这些结果为深入了解 L. 中的基因表达和调控复杂网络提供了线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/8584933/5e7f46aedc01/ijms-22-11989-g001.jpg

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