A Global Analysis of Alternative Splicing of Dichocarpum Medicinal Plants, Ranunculales.

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Current Genomics Pub Date : 2022-07-05 DOI:10.2174/1389202923666220527112929
Da-Cheng Hao, Hao Chen, Pei-Gen Xiao, Tao Jiang
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Abstract

Background: The multiple isoforms are often generated from a single gene via Alternative Splicing (AS) in plants, and the functional diversity of the plant genome is significantly increased. Despite well-studied gene functions, the specific functions of isoforms are little known, therefore, the accurate prediction of isoform functions is exceedingly wanted. Methods: Here we perform the first global analysis of AS of Dichocarpum, a medicinal genus of Ranunculales, by utilizing full-length transcriptome datasets of five Chinese endemic Dichocarpum taxa. Multiple software were used to identify AS events, the gene function was annotated based on seven databases, and the protein-coding sequence of each AS isoform was translated into an amino acid sequence. The self-developed software DIFFUSE was used to predict the functions of AS isoforms. Results: Among 8,485 genes with AS events, the genes with two isoforms were the most (6,038), followed by those with three isoforms and four isoforms. Retained intron (RI, 551) was predominant among 1,037 AS events, and alternative 3' splice sites and alternative 5' splice sites were second. The software DIFFUSE was effective in predicting functions of Dichocarpum isoforms, which have not been unearthed. When compared with the sequence alignment-based database annotations, DIFFUSE performed better in differentiating isoform functions. The DIFFUSE predictions on the terms GO:0003677 (DNA binding) and GO: 0010333 (terpene synthase activity) agreed with the biological features of transcript isoforms. Conclusion: Numerous AS events were for the first time identified from full-length transcriptome datasets of five Dichocarpum taxa, and functions of AS isoforms were successfully predicted by the self-developed software DIFFUSE. The global analysis of Dichocarpum AS events and predicting isoform functions can help understand the metabolic regulations of medicinal taxa and their pharmaceutical explorations.

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毛茛属双科药用植物选择性剪接的全球分析。
背景:在植物中,单个基因通过选择性剪接(Alternative Splicing, AS)产生多个同种异构体,从而显著增加了植物基因组的功能多样性。尽管基因的功能已经得到了很好的研究,但同种异构体的具体功能却鲜为人知,因此,对同种异构体功能的准确预测是非常需要的。方法:利用5个中国特有的Dichocarpum分类群的全长转录组数据,首次对毛茛属(Ranunculales)药用属Dichocarpum的AS进行了全球分析。利用多个软件对AS事件进行鉴定,基于7个数据库对基因功能进行标注,并将每个AS异构体的蛋白编码序列翻译成氨基酸序列。利用自主开发的软件DIFFUSE预测AS异构体的功能。结果:在8,485个AS事件基因中,2个亚型最多(6,038个),3个亚型次之,4个亚型次之。在1037例AS事件中,保留内含子(RI, 551)占主导地位,3'剪接位点和5'剪接位点次之。该软件能够有效地预测尚未发现的双果果属同种异构体的功能。与基于序列比对的数据库注释相比,DIFFUSE在区分异构体函数方面表现更好。对GO:0003677 (DNA结合)和GO: 0010333(萜烯合成酶活性)的预测与转录物同工型的生物学特征一致。结论:首次从五种双树属植物的全长转录组数据中鉴定出大量AS事件,并利用自主开发的软件DIFFUSE成功预测了AS亚型的功能。全面分析双氧树AS事件并预测其异构体功能,有助于了解药用分类群的代谢调控及其药物开发。
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来源期刊
Current Genomics
Current Genomics 生物-生化与分子生物学
CiteScore
5.20
自引率
0.00%
发文量
29
审稿时长
>0 weeks
期刊介绍: Current Genomics is a peer-reviewed journal that provides essential reading about the latest and most important developments in genome science and related fields of research. Systems biology, systems modeling, machine learning, network inference, bioinformatics, computational biology, epigenetics, single cell genomics, extracellular vesicles, quantitative biology, and synthetic biology for the study of evolution, development, maintenance, aging and that of human health, human diseases, clinical genomics and precision medicine are topics of particular interest. The journal covers plant genomics. The journal will not consider articles dealing with breeding and livestock. Current Genomics publishes three types of articles including: i) Research papers from internationally-recognized experts reporting on new and original data generated at the genome scale level. Position papers dealing with new or challenging methodological approaches, whether experimental or mathematical, are greatly welcome in this section. ii) Authoritative and comprehensive full-length or mini reviews from widely recognized experts, covering the latest developments in genome science and related fields of research such as systems biology, statistics and machine learning, quantitative biology, and precision medicine. Proposals for mini-hot topics (2-3 review papers) and full hot topics (6-8 review papers) guest edited by internationally-recognized experts are welcome in this section. Hot topic proposals should not contain original data and they should contain articles originating from at least 2 different countries. iii) Opinion papers from internationally recognized experts addressing contemporary questions and issues in the field of genome science and systems biology and basic and clinical research practices.
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