Evolution and Phylogeny of MicroRNAs - Protocols, Pitfalls, and Problems.

Methods Mol Biol

Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, D-04107, Härtelstraße 16-18, Leipzig, Germany.

Published: January 2022

AI Article Synopsis

  • MicroRNAs (miRNAs) are crucial regulators in eukaryotes, typically around 22 nucleotides long, and have a characteristic hairpin structure.
  • They are highly conserved across animal and plant genomes and play key roles in development, frequently arising de novo and contributing to evolutionary innovation.
  • The chapter discusses current methods for annotating miRNAs through homology, highlighting the need for accurate data to assess their impact on phenotypic evolution and the limitations of existing approaches.

Article Abstract

MicroRNAs are important regulators in many eukaryotic lineages. Typical miRNAs have a length of about 22nt and are processed from precursors that form a characteristic hairpin structure. Once they appear in a genome, miRNAs are among the best-conserved elements in both animal and plant genomes. Functionally, they play an important role in particular in development. In contrast to protein-coding genes, miRNAs frequently emerge de novo. The genomes of animals and plants harbor hundreds of mutually unrelated families of homologous miRNAs that tend to be persistent throughout evolution. The evolution of their genomic miRNA complement closely correlates with important morphological innovation. In addition, miRNAs have been used as valuable characters in phylogenetic studies. An accurate and comprehensive annotation of miRNAs is required as a basis to understand their impact on phenotypic evolution. Since experimental data on miRNA expression are limited to relatively few species and are subject to unavoidable ascertainment biases, it is inevitable to complement miRNA sequencing by homology based annotation methods. This chapter reviews the state of the art workflows for homology based miRNA annotation, with an emphasis on their limitations and open problems.

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Source
http://dx.doi.org/10.1007/978-1-0716-1170-8_11DOI Listing

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