AI Article Synopsis
- Researchers developed a method for bacteria to switch tasks by adjusting plasmid copy numbers, allowing them to perform different computations.
- The approach aims to reduce inefficiencies in resource usage within the bacterial populations.
- The study includes simulations of this model and highlights future research opportunities in engineered bacteria for computation.
Article Abstract
We present a scheme for implementing a version of task switching in engineered bacteria, based on the manipulation of plasmid copy numbers. Our method allows for the embedding of multiple computations in a cellular population, whilst minimising resource usage inefficiency. We describe the results of computational simulations of our model, and discuss the potential for future work in this area.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6463194 | PMC |
| http://dx.doi.org/10.3390/life9010014 | DOI Listing |
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