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MicroRNA annotation in plants: Current status and challenges

  • Yongxin Zhao
  • , Zheng Kuang
  • , Ying Wang
  • , Lei Li
  • , Xiaozeng Yang
  • Beijing Academy of Agricultural and Forestry Sciences
  • Peking University

Research output: Contribution to journalReview articlepeer-review

26 Scopus citations

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.

Original languageEnglish
Article numberbbab075
JournalBriefings in Bioinformatics
Volume22
Issue number5
DOIs
StatePublished - 1 Sep 2021
Externally publishedYes

Keywords

  • artificial intelligence
  • bioinformatics tools
  • miRNA annotation
  • miRNA database
  • microRNA (miRNA)
  • plant

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