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  The birth of a bacterial tRNA gene by large-scale, tandem duplication events

Ayan, G. B., Park, H. J., & Gallie, J. (2020). The birth of a bacterial tRNA gene by large-scale, tandem duplication events. eLife, 9: e57947. doi:10.7554/eLife.57947.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0007-7429-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0007-742A-8
Genre: Journal Article

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Ayan, Gökce B.1, Author              
Park, Hye Jin2, Author              
Gallie, Jenna1, Author              
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1Research Group Microbial Evolutionary Dynamics, Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_2253646              
2Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              

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Free keywords: tRNA, duplication, pseudomonas fluorescens sbw25, evolution, YAMAT-seq, serine
 Abstract: Organisms differ in the types and numbers of tRNA genes that they carry. While the evolutionary mechanisms behind tRNA gene set evolution have been investigated theoretically and computationally, direct observations of tRNA gene set evolution remain rare. Here, we report the evolution of a tRNA gene set in laboratory populations of the bacterium ̑extitPseudomonas fluorescens} SBW25. The growth defect caused by deleting the single-copy tRNA gene, ̑extit{serCGA}, is rapidly compensated by large-scale (45–290 kb) duplications in the chromosome. Each duplication encompasses a second, compensatory tRNA gene (̑extit{serTGA}) and is associated with a rise in tRNA-Ser(UGA) in the mature tRNA pool. We postulate that tRNA-Ser(CGA) elimination increases the translational demand for tRNA-Ser(UGA), a pressure relieved by increasing ̑extit{serTGA copy number. This work demonstrates that tRNA gene sets can evolve through duplication of existing tRNA genes, a phenomenon that may contribute to the presence of multiple, identical tRNA gene copies within genomes.

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Language(s): eng - English
 Dates: 2020-04-162020-10-292020-10-302020-10
 Publication Status: Published in print
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 Identifiers: DOI: 10.7554/eLife.57947
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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 9 Sequence Number: e57947 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X