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MicroRNA annotation in plants: current status and challenges.
Zhao, Yongxin; Kuang, Zheng; Wang, Ying; Li, Lei; Yang, Xiaozeng.
Afiliação
  • Zhao Y; Beijing Academy of Agriculture and Forestry Sciences, China.
  • Kuang Z; Peking University and Beijing Academy of Agriculture and Forestry Sciences, China.
  • Wang Y; Peking University, China.
  • Li L; School of Advanced Agricultural Sciences and School of Life Sciences at the Peking University, China.
  • Yang X; Beijing Academy of Agriculture and Forestry Sciences, China.
Brief Bioinform ; 22(5)2021 09 02.
Article em En | MEDLINE | ID: mdl-33754625
ABSTRACT
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / RNA de Plantas / Biologia Computacional / Bases de Dados Genéticas / MicroRNAs Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / RNA de Plantas / Biologia Computacional / Bases de Dados Genéticas / MicroRNAs Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China