Manual correction of genome annotation improved alternative splicing identification of Artemisia annua

被引:0
|
作者
Zhaoyu Liu
Yupeng Du
Zhihao Sun
Bohan Cheng
Zenghao Bi
Zhicheng Yao
Yuting Liang
Huiling Zhang
Run Yao
Shen Kang
Yuhua Shi
Huihua Wan
Dou Qin
Li Xiang
Liang Leng
Shilin Chen
机构
[1] Tianjin University of Traditional Chinese Medicine,School of Chinese Materia Medica
[2] Chengdu University of Traditional Chinese Medicine,Institute of Herbgenomics
[3] Northeast Forestry University,College of Life Science
[4] Chengdu University of Traditional Chinese Medicine,School of Basic Medical Sciences
[5] China Academy of Chinese Medical Sciences,Institute of Chinese Materia Medica
[6] Jingdezhen Ceramic University,School of Information Engineering
[7] Sichuan Agricultural University,College of Horticulture
[8] China Academy of Chinese Medical Sciences,Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica
[9] Xinjiang Institute of Traditional Uyghur Medicine,Prescription Laboratory of Xinjiang Traditional Uyghur Medicine
来源
Planta | 2023年 / 258卷
关键词
Genome annotation; Manual correction; Alternative splicing; Artemisinin;
D O I
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中图分类号
学科分类号
摘要
Gene annotation is essential for genome-based studies. However, algorithm-based genome annotation is difficult to fully and correctly reveal genomic information, especially for species with complex genomes. Artemisia annua L. is the only commercial resource of artemisinin production though the content of artemisinin is still to be improved. Genome-based genetic modification and breeding are useful strategies to boost artemisinin content and therefore, ensure the supply of artemisinin and reduce costs, but better gene annotation is urgently needed. In this study, we manually corrected the newly released genome annotation of A. annua using second- and third-generation transcriptome data. We found that incorrect gene information may lead to differences in structural, functional, and expression levels compared to the original expectations. We also identified alternative splicing events and found that genome annotation information impacted identifying alternative splicing genes. We further demonstrated that genome annotation information and alternative splicing could affect gene expression estimation and gene function prediction. Finally, we provided a valuable version of A. annua genome annotation and demonstrated the importance of gene annotation in future research.
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