Journal article
Codon usage bias in phytoplankton
- Abstract:
- Non-random usage of synonymous codons, known as “codon bias”, has been described in many organisms, from bacteria to Drosophila, but little is known about it in phytoplankton. This phenomenon is thought to be driven by selection for translational efficiency. As the efficacy of selection is proportional to the effective population size, species with large population sizes, such as phytoplankton, are expected to have strong codon bias. To test this, we measured codon bias in 215 strains from Haptophyta, Chlorophyta, Ochrophyta (except diatoms that were studied previously), Dinophyta, Cryptophyta, Ciliophora, unicellular Rhodophyta and Chlorarachniophyta. Codon bias is modest in most groups, despite the astronomically large population sizes of marine phytoplankton. The strength of the codon bias, measured with the effective number of codons, is the strongest in Haptophyta and the weakest in Chlorarachniophyta. The optimal codons are GC-ending in most cases, but several shifts to AT-ending codons were observed (mainly in Ochrophyta and Ciliophora). As it takes a long time to reach a new equilibrium after such shifts, species having AT-ending codons show a lower frequency of optimal codons compared to other species. Genetic diversity, calculated for species with more than three strains sequenced, is modest, indicating that the effective population sizes are many orders of magnitude lower than the astronomically large census population sizes, which helps to explain the modest codon bias in marine phytoplankton. This study represents the first comparative analysis of codon bias across multiple major phytoplankton groups.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 540.1KB, Terms of use)
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- Publisher copy:
- 10.3390/jmse10020168
Authors
- Publisher:
- MDPI
- Journal:
- Journal of Marine Science and Engineering More from this journal
- Volume:
- 10
- Issue:
- 2
- Article number:
- 168
- Publication date:
- 2022-01-27
- Acceptance date:
- 2022-01-26
- DOI:
- EISSN:
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2077-1312
- Language:
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English
- Keywords:
- Pubs id:
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1241988
- Local pid:
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pubs:1241988
- Deposit date:
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2022-03-30
- ARK identifier:
Terms of use
- Copyright holder:
- Krasovec and Filatov
- Copyright date:
- 2022
- Rights statement:
- © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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