Biologia Futura: progress and future perspectives of long non-coding RNAs in forest trees

Patturaj, Maheswari and Munusamy, Aiswarya and Kannan, Nithishkumar and Ramasamy, Yasodha (2022) Biologia Futura: progress and future perspectives of long non-coding RNAs in forest trees. BIOLOGIA FUTURA : A QUARTERLY OF THE HUNGARIAN ACADEMY OF SCIENCES, 73 (1). pp. 43-53. ISSN 2676-8615 (print); 2676-8607 (online)

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Abstract

Forest trees are affected by climate change, anthropogenic pressure, as well as abiotic and biotic stresses. Conventional tree breeding has so far been limited to enhance overall productivity, and our understanding of the genetic basis of quantitative traits is still inadequate. Quantum leaps in next-generation sequencing technologies and bioinformatics have permitted the exploration and identification of various non-coding regions of the genome other than protein coding genes. These genomic regions produce various types of non-coding RNAs and regulate myriads of biological functions at epigenetic, transcriptional and translational levels. Recently, long non-coding RNAs (lncRNAs) which act as molecular switch have been identified to be pivotal molecules in forest trees. This review focuses on progress made in regulatory mechanisms in various developmental phases like wood formation, adventitious rooting and flowering and stress responses. It was predicted that complex regulatory interactions among lncRNA, miRNA and gene exist. LncRNAs can function as a sponge for miRNAs, reducing the suppressive effect of miRNAs on target mRNAs and perhaps adding a new layer of regulatory interactions among non-coding RNA classes in trees. Furthermore, network analysis revealed the interactions of lncRNA and genes during the expression of several important genes. The insights generated about lncRNAs in forest trees would enable improvement of economically important traits including the devastating abiotic and biotic stresses. In addition, solid understanding on the wide range of regulatory functions of lncRNAs on traits influencing biomass productivity and adaptation would aid the applications of biotechnology in genetic improvement of forest trees.

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