title: Experimental microcosms as models of natural ecosystems for monitoring survival of genetically modified microorganism.
abstract: An experimental approach for investigation of genetically modified microorganisms (GMMO) introduced into model ecosystems to evaluate potential risk of propagation of recombinant plasmids in surrounding medium has been developed. The object of modeling was Escherichia coli Z905 strain with a recombinant plasmid with bacterial luminescence genes, which was introduced into water microcosms of different structure. The approach involves comprehensive investigation of GMMO at four hierarchical levels: molecular (retaining the structure of the plasmid and expression of cloned genes); cellular (variation of metabolic activity); population (competitive power and metabolic interactions of GMMO with indigenous microflora, migration of recombinant and natural plasmids); ecosystem (effect of GMMO and cloned genes on ecosystem parameters). The experimental evidence and theoretical estimates are intended to form grounds to develop a basic version of an ecological certificate for different GMMO variants.
authors.affiliation: Institute of Biophysics (Russian Academy of Sciences, Siberian Branch), Krasnoyarsk, Russia. lubg@post.krascince.rssi.ru
authors.lastname: Popova LYu
authors.forename: N S
authors.initials: NS
authors.lastname: Pechurkin
authors.forename: E E
authors.initials: EE
authors.lastname: Maksimova
authors.forename: T V
authors.initials: TV
authors.lastname: Kargatova
authors.lastname: Krylova TYu
authors.forename: T I
authors.initials: TI
authors.lastname: Lobova
authors.forename: A N
authors.initials: AN
authors.lastname: Boyandin
mesh_terms: D000220:Adaptation, Biological; D004269:DNA, Bacterial; D004274:DNA, Recombinant; D017753:Ecosystem; D004926:Escherichia coli / Q000235:genetics*; D008829:Microbiology; D010957:Plasmids / Q000235:genetics*; D018570:Risk Assessment; D012988:Soil Microbiology; D014871:Water Microbiology
chemical_list: D004269:DNA, Bacterial; D004274:DNA, Recombinant