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  Endogenous stochastic decoding of the CUG codon by competing Ser- and Leu-tRNAs in Ascoidea asiatica.

Mühlhausen, S., Schmitt, H. D., Pan, K. T., Plessmann, U., Urlaub, H., Hurst, L. D., et al. (2018). Endogenous stochastic decoding of the CUG codon by competing Ser- and Leu-tRNAs in Ascoidea asiatica. Current Biology, 28(13), 2046-2057. doi:10.1016/j.cub.2018.04.085.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-91D7-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-ABB8-D
Genre: Journal Article

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 Creators:
Mühlhausen, S., Author
Schmitt, H. D.1, Author              
Pan, K. T.2, Author              
Plessmann, U.2, Author              
Urlaub, H.2, Author              
Hurst, L. D., Author
Kollmar, M., Author
Affiliations:
1Research Group of Membrane Transport in Yeast, MPI for biophysical chemistry, Max Planck Society, ou_578597              
2Research Group of Bioanalytical Mass Spectrometry, MPI for biophysical chemistry, Max Planck Society, ou_578613              

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Free keywords: genetic code; codon reassignment; stochastic decoding; competing tRNAs; CUG codon; Ascoidea asiatica; Saccharomycopsis; yeast evolution; proteomics
 Abstract: Although the "universal" genetic code is now known not to be universal, and stop codons can have multiple meanings, one regularity remains, namely that for a given sense codon there is a unique translation. Examining CUG usage in yeasts that have transferred CUG away from leucine, we here report the first example of dual coding: Ascoidea asiatica stochastically encodes CUG as both serine and leucine in approximately equal proportions. This is deleterious, as evidenced by CUG codons being rare, never at conserved serine or leucine residues, and predominantly in lowly expressed genes. Related yeasts solve the problem by loss of function of one of the two tRNAs. This dual coding is consistent with the tRNA-loss-driven codon reassignment hypothesis, and provides a unique example of a proteome that cannot be deterministically predicted.

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Language(s): eng - English
 Dates: 2018-06-142018-07-09
 Publication Status: Published in print
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.cub.2018.04.085
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Title: Current Biology
Source Genre: Journal
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Pages: - Volume / Issue: 28 (13) Sequence Number: - Start / End Page: 2046 - 2057 Identifier: -