Functional Long Non-coding RNAs Evolve from Junk Transcripts
Author(s) -
Alexander F. Palazzo,
Eugene V. Koonin
Publication year - 2020
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2020.09.047
Subject(s) - biology , multicellular organism , noncoding dna , genome , transcriptome , negative selection , adaptation (eye) , computational biology , non coding rna , evolutionary biology , rna , tiling array , long non coding rna , genetics , gene , gene expression , neuroscience
Transcriptome studies reveal pervasive transcription of complex genomes, such as those of mammals. Despite popular arguments for functionality of most, if not all, of these transcripts, genome-wide analysis of selective constraints indicates that most of the produced RNA are junk. However, junk is not garbage. On the contrary, junk transcripts provide the raw material for the evolution of diverse long non-coding (lnc) RNAs by non-adaptive mechanisms, such as constructive neutral evolution. The generation of many novel functional entities, such as lncRNAs, that fuels organismal complexity does not seem to be driven by strong positive selection. Rather, the weak selection regime that dominates the evolution of most multicellular eukaryotes provides ample material for functional innovation with relatively little adaptation involved.
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