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

AI Article Synopsis

  • Forest trees face challenges from climate change, human activity, and various stresses, and traditional breeding methods have not sufficiently improved tree productivity or grasped the genetic basis of traits.
  • Advances in next-generation sequencing and bioinformatics have revealed the role of non-coding RNAs, specifically long non-coding RNAs (lncRNAs), which serve as key regulators in biological processes like wood formation and stress responses.
  • Understanding the complex interactions between lncRNAs and other genetic elements can enhance the genetic improvement of forest trees, potentially leading to better resilience against environmental stresses and improved productivity.

Article 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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Source
http://dx.doi.org/10.1007/s42977-021-00108-xDOI Listing

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