文献类型： 外文期刊
作者： Zhao, Yongxin 2 ; Kuang, Zheng 2 ; Wang, Ying 4 ; Li, Lei 1 ; Yang, Xiaozeng 6 ;
作者机构： 1.Peking Univ, Sch Life Sci, Beijing 100871, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Beijing, Peoples R China
3.Peking Univ, Bioinformat & Genom, Beijing, Peoples R China
4.Peking Univ, Beijing, Peoples R China
5.Peking Univ, Sch Adv Agr Sci, Beijing, Peoples R China
6.Beijing Acad Agr & Forestry Sci, Computat Biol, Beijing, Peoples R China
关键词： microRNA (miRNA); plant; miRNA annotation; bioinformatics tools; miRNA database; artificial intelligence
期刊名称：BRIEFINGS IN BIOINFORMATICS （ 影响因子：11.622； 五年影响因子：10.288 ）
ISSN： 1467-5463
年卷期： 2021 年 22 卷 5 期
页码：
收录情况： SCI
摘要： Last two decades, the studies on microRNAs (miRNAs) and the numbers of annotated miRNAs in plants and animals have surged. Herein, we reviewed the current progress and challenges of miRNA annotation in plants. Via the comparison of plant and animal miRNAs, we pinpointed out the difficulties on plant miRNA annotation and proposed potential solutions. In terms of recalling the history of methods and criteria in plant miRNA annotation, we detailed how the major progresses made and evolved. By collecting and categorizing bioinformatics tools for plant miRNA annotation, we surveyed their advantages and disadvantages, especially for ones with the principle of mimicking the miRNA biogenesis pathway by parsing deeply sequenced small RNA (sRNA) libraries. In addition, we summarized all available databases hosting plant miRNAs, and posted the potential optimization solutions such as how to increase the signal-to-noise ratio (SNR) in these databases. Finally, we discussed the challenges and perspectives of plant miRNA annotations, and indicated the possibilities offered by an all-in-one tool and platform according to the integration of artificial intelligence.
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