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Evolutionary algorithms and flow cytometry to examine the parameters influencing transconjugant formation

Nico Boon (UGent) , Stephen Depuydt (UGent) and Willy Verstraete (UGent)
(2006) FEMS MICROBIOLOGY ECOLOGY. 55(1). p.17-27
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Abstract
An evolutionary algorithm was used to determine the optimal combination of parameters for transconjugant formation. As a model system, a gfp tagged TOL plasmid pWW0 was chosen to examine transfer from Pseudomonas putida to Escherichia coli. A comparison of flow cytometry results with plating and microscopy showed that the majority of transconjugants were not culturable. The transconjugant ratio therefore was determined by flow cytometry. The evolutionary algorithm showed that the optimal conditions were obtained at 28 degrees C and at the highest nutrient concentrations. This work demonstrates that evolutionary algorithms can be used to find optimal parameter interactions in environmental microbiology.
Keywords
BROAD-HOST, genetic algorithm, OPTIMIZATION, QUANTIFICATION, PSEUDOMONAS-PUTIDA, ESCHERICHIA-COLI, HOST-RANGE, CONJUGAL TRANSFER, SOIL MICROCOSMS, TOL PLASMID, MOBILE GENETIC ELEMENTS, plasmid transfer, selective pressure

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Citation

Please use this url to cite or link to this publication:

Chicago
Boon, Nico, Stephen Depuydt, and Willy Verstraete. 2006. “Evolutionary Algorithms and Flow Cytometry to Examine the Parameters Influencing Transconjugant Formation.” Fems Microbiology Ecology 55 (1): 17–27.
APA
Boon, N., Depuydt, S., & Verstraete, W. (2006). Evolutionary algorithms and flow cytometry to examine the parameters influencing transconjugant formation. FEMS MICROBIOLOGY ECOLOGY, 55(1), 17–27.
Vancouver
1.
Boon N, Depuydt S, Verstraete W. Evolutionary algorithms and flow cytometry to examine the parameters influencing transconjugant formation. FEMS MICROBIOLOGY ECOLOGY. 2006;55(1):17–27.
MLA
Boon, Nico, Stephen Depuydt, and Willy Verstraete. “Evolutionary Algorithms and Flow Cytometry to Examine the Parameters Influencing Transconjugant Formation.” FEMS MICROBIOLOGY ECOLOGY 55.1 (2006): 17–27. Print.
@article{328792,
  abstract     = {An evolutionary algorithm was used to determine the optimal combination of parameters for transconjugant formation. As a model system, a gfp tagged TOL plasmid pWW0 was chosen to examine transfer from Pseudomonas putida to Escherichia coli. A comparison of flow cytometry results with plating and microscopy showed that the majority of transconjugants were not culturable. The transconjugant ratio therefore was determined by flow cytometry. The evolutionary algorithm showed that the optimal conditions were obtained at 28 degrees C and at the highest nutrient concentrations. This work demonstrates that evolutionary algorithms can be used to find optimal parameter interactions in environmental microbiology.},
  author       = {Boon, Nico and Depuydt, Stephen and Verstraete, Willy},
  issn         = {0168-6496},
  journal      = {FEMS MICROBIOLOGY ECOLOGY},
  keyword      = {BROAD-HOST,genetic algorithm,OPTIMIZATION,QUANTIFICATION,PSEUDOMONAS-PUTIDA,ESCHERICHIA-COLI,HOST-RANGE,CONJUGAL TRANSFER,SOIL MICROCOSMS,TOL PLASMID,MOBILE GENETIC ELEMENTS,plasmid transfer,selective pressure},
  language     = {eng},
  number       = {1},
  pages        = {17--27},
  title        = {Evolutionary algorithms and flow cytometry to examine the parameters influencing transconjugant formation},
  url          = {http://dx.doi.org/10.1111/j.1574-6941.2005.00002.x},
  volume       = {55},
  year         = {2006},
}

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