Optimality and evolution of transcriptionally regulated gene expression
2011

How Gene Expression Evolves in Bacteria

Sample size: 800 publication Evidence: moderate

Author Information

Author(s): Frank J Poelwijk, Philip D Heyning, Marjon GJ de Vos, Daniel J Kiviet, Sander J Tans

Primary Institution: AMOLF Institute, Science Park, Amsterdam, The Netherlands

Hypothesis

Is the evolution of transcriptionally regulated gene expression predicted by a cost-benefit analysis?

Conclusion

The study shows that gene expression can evolve to optimal levels based on the costs and benefits of protein production and metabolism.

Supporting Evidence

  • The study found that E. coli can evolve to optimal gene expression levels in response to environmental changes.
  • Cells showed different evolutionary dynamics based on the levels of inducers present.
  • The research indicates that genetic changes affecting regulatory proteins can lead to adaptive evolution.

Takeaway

Scientists studied how bacteria adapt their gene expression to grow better in different environments, finding that they can evolve to do this over many generations.

Methodology

The researchers used a decoupling approach to measure the costs and benefits of gene expression in E. coli under various conditions.

Limitations

The study may not account for all genetic variations that could affect gene expression.

Digital Object Identifier (DOI)

10.1186/1752-0509-5-128

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