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Improving Gene Annotation of the Peanut Genome by Integrated Proteogenomics Workflow

文献类型： 外文期刊

作者： Li, Haifen 2 ; Zhou, Ruo 1 ; Xu, Shaohang 1 ; Chen, Xiaoping 2 ; Hong, Yanbin 2 ; Lu, Qing 2 ; Liu, Hao 2 ; Zhou, Baojin; 1 ;

作者机构： 1.Deepxomics Co Ltd, Shenzhen 518000, Peoples R China

2.Guangdong Acad Agr Sci, Crops Res Inst, Guangdong Key Lab Crops Genet Improvement, South China Peanut Subctr Natl Ctr Oilseed Crops, Guangzhou 510640, Guangdong, Peoples R China

关键词： bioinformatics; proteogenomics; proteomics; gene annotation; RNA-seq

期刊名称：JOURNAL OF PROTEOME RESEARCH （ 影响因子：4.466； 五年影响因子：4.352 ）

ISSN： 1535-3893

年卷期： 2020 年 19 卷 6 期

页码：

收录情况： SCI

摘要： Peanut (Arachis hypogaea L.) is a staple crop in semiarid tropical and subtropical regions. Although the genome of peanut has been fully sequenced, the current gene annotations are still incomplete. New technologies in genomics and proteomics have resulted in the emergence of proteogenomics, which can integrate genomic, transcriptomic, and proteomic data for improving gene annotation. In the present study, we collected RNA-seq and proteomic data from multiple tissues such as seed, shell, and gynophore of peanut and utilized a proteogenomic approach to improve the gene annotation of peanut based on these data. A total of 1 935 655 904 RNA-seq reads and 7 490 280 MS/MS spectra were collected. Ultimately, 13 767 annotated genes were found with evidence at the protein level, and seven novel protein-coding genes were found with both RNA-seq and proteomics evidence. In addition, 35 gene models were updated based on proteomics data. Proteogenomic approaches improved the gene annotation in certain aspects by integrating both RNA-seq and proteomic data. We expect that these approaches could help improve existing genome annotations of other species.

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