4.7 Review

Long Non-Coding RNAs, the Dark Matter: An Emerging Regulatory Component in Plants

Journal

Publisher

MDPI
DOI: 10.3390/ijms22010086

Keywords

lncRNAs; dark matter; regulator; database; epigenetics; tolerance

Funding

  1. National Key Research and Developmental Program of China [2018YFD1000104]
  2. National Natural Science Foundation of China [31872063]
  3. Special Support Program of Guangdong Province [2019TX05N193]

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Long non-coding RNAs (lncRNAs) in plants play a key regulatory role in plant growth, development, and stress responses. Research focuses on their classification, mechanism of action, and specific bioinformatics tools for identification and characterization. Understanding the regulatory role of lncRNAs in plant developmental processes is crucial for improving crop plants' resistance to stresses.
Long non-coding RNAs (lncRNAs) are pervasive transcripts of longer than 200 nucleotides and indiscernible coding potential. lncRNAs are implicated as key regulatory molecules in various fundamental biological processes at transcriptional, post-transcriptional, and epigenetic levels. Advances in computational and experimental approaches have identified numerous lncRNAs in plants. lncRNAs have been found to act as prime mediators in plant growth, development, and tolerance to stresses. This review summarizes the current research status of lncRNAs in planta, their classification based on genomic context, their mechanism of action, and specific bioinformatics tools and resources for their identification and characterization. Our overarching goal is to summarize recent progress on understanding the regulatory role of lncRNAs in plant developmental processes such as flowering time, reproductive growth, and abiotic stresses. We also review the role of lncRNA in nutrient stress and the ability to improve biotic stress tolerance in plants. Given the pivotal role of lncRNAs in various biological processes, their functional characterization in agriculturally essential crop plants is crucial for bridging the gap between phenotype and genotype.

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