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Excess of non-conservative amino acid changes in marine bacterioplankton lineages with reduced genomes

Nature Microbiology volume 2, Article number: 17091 (2017) | Download Citation

Abstract

Surface ocean waters are dominated by planktonic bacterial lineages with highly reduced genomes. The best examples are the cyanobacterial genus Prochlorococcus, the alphaproteobacterial clade SAR11 and the gammaproteobacterial clade SAR86, which together represent over 50% of the cells in surface oceans. Several studies have identified signatures of selection on these lineages in today's ocean and have postulated selection as the primary force throughout their evolutionary history. However, massive loss of genomic DNA in these lineages often occurred in the distant past, and the selective pressures underlying these ancient events have not been assessed. Here, we probe ancient selective pressures by computing %GC-corrected rates of conservative and radical nonsynonymous nucleotide substitutions. Surprisingly, we found an excess of radical changes in several of these lineages in comparison to their relatives with larger genomes. Furthermore, analyses of allelic genome sequences of several populations within these lineages consistently supported that radical replacements are more likely to be deleterious than conservative changes. Our results suggest coincidence of massive genomic DNA losses and increased power of genetic drift, but we also suggest that additional evidence independent of the nucleotide substitution analyses is needed to support a primary role of genetic drift driving ancient genome reduction of marine bacterioplankton lineages.

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Acknowledgements

This research was funded by the National Natural Science Foundation of China (41576141), the Hong Kong RGC Early Career Scheme (24101015), the Hong Kong Environment and Conservation Fund (15/2016), the Chinese University of Hong Kong (Direct Grants 4930062 and 4053105) and the US National Science Foundation (IIS 1161586 to J.T. and OCE-1232982 and DEB-1441717 to R.S.).

Author information

Author notes

    • Haiwei Luo
    •  & Yongjie Huang

    These authors contributed equally to this work.

Affiliations

  1. Simon F. S. Li Marine Science Laboratory, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China

    • Haiwei Luo
    •  & Yongjie Huang
  2. Center for Soybean Research, the Partner State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, China

    • Haiwei Luo
  3. Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China

    • Haiwei Luo
  4. Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518000, China

    • Haiwei Luo
    •  & Yongjie Huang
  5. Bigelow Laboratory for Ocean Sciences, East Boothbay, Maine 04544, USA

    • Ramunas Stepanauskas
  6. Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University, Tianjin 300072, China

    • Jijun Tang
  7. Department of Computer Science and Engineering, University of South Carolina, Columbia, South Carolina 29208, USA

    • Jijun Tang

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Contributions

H.L. conceived and designed the study. Y.H. performed the research. R.S. and J.T. contributed reagent and analytic tools. H.L., Y.H., R.S. and J.T. analysed the data. H.L. wrote the paper.

Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Haiwei Luo.

Supplementary information

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    Supplementary Information

    Supplementary Methods, Supplementary Figures, Supplementary Table and Supplementary References.

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    Supplementary Data

    (1) Summary of simulation parameters used to estimate the dR/dC ratio based on charge classification of the 20 amino acids. (2) Summary of simulation parameters used to estimate the dR/dC ratio based on volume and polarity classification of the 20 amino acids.

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DOI

https://doi.org/10.1038/nmicrobiol.2017.91

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