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Live Cell Imaging of Chromosome Segregation During Mitosis
Published on: March 14, 2018
Evolutionary model for the unequal segregation of high copy plasmids
Karin Münch1,2, Richard Münch1,2, Rebekka Biedendieck1,2
1Institute of Microbiology, Technische Universität Braunschweig, Spielmannstr. 7, D-38106 Braunschweig, Germany.
Mathematical modeling reveals that high-copy plasmids, like those carrying antibiotic resistance genes, segregate unequally during cell division. This unequal distribution ensures evolutionary stability, with one daughter cell receiving more plasmids when the plasmid load is high.
Area of Science:
- Microbiology
- Evolutionary Biology
- Genetics
Background:
- Plasmids are extrachromosomal DNA in microorganisms, often conferring beneficial traits like antibiotic resistance.
- It was previously assumed that plasmids are equally distributed to daughter cells during microbial division.
- High-copy plasmids exist in hundreds of copies per cell, complicating segregation dynamics.
Purpose of the Study:
- To investigate the evolutionary stability of plasmid segregation mechanisms.
- To determine the evolutionary stable strategies (ESS) for high-copy plasmid segregation.
- To understand how plasmid copy number influences segregation patterns.
Main Methods:
- Utilized mathematical modeling to simulate plasmid segregation in microbial populations.
- Employed numerical analysis of a plasmid-load structured population model.
- Compared theoretical predictions with recent experimental findings.
Main Results:
- The evolutionary stable strategy for plasmid segregation is dependent on the plasmid copy number.
- For low and medium plasmid loads, equal distribution to daughter cells is evolutionarily stable.
- For high plasmid loads, one daughter cell systematically receives a larger share of plasmids.
Conclusions:
- The study provides a theoretical framework for understanding plasmid segregation strategies.
- Findings suggest that unequal segregation is an evolutionarily stable strategy for high-copy plasmids.
- The results have implications for the maintenance and spread of antibiotic resistance genes in microbial populations.
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