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Monitoring transfer of recombinant and nonrecombinant plasmids between Lactococcus lactis strains and members of the human gastrointestinal microbiota in vivo– impact of donor cell number and diet
Aims: The generation of data of real relevance to the purported risks of DNA transfer from food‐borne genetically modified microorganisms (GMMOs) using the human biota associated (HBA) rat model. Plasmid transfer between Lactococcus lactis strains and between donor strains and human gut bacteria was...
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Published in: | Journal of applied microbiology 2002-01, Vol.93 (6), p.954-964 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Aims: The generation of data of real relevance to the purported risks of DNA transfer from food‐borne genetically modified microorganisms (GMMOs) using the human biota associated (HBA) rat model. Plasmid transfer between Lactococcus lactis strains and between donor strains and human gut bacteria was monitored.
Methods and Results: Transfer of the recombinant plasmid pCK1 and/or the promiscuous nonrecombinant plasmid pAMβ1 between L. lactis strains was monitored in vivo in HBA rats. No transfer of pCK1 was observed. Transfer of pAMβ1 was observed to Enterococcus spp. present in the HBA rats. Transconjugants persisted for 30 d and were distributed throughout the gastrointestinal tract. Both HBA rat diet and donor cell numbers impacted on transconjugant numbers. Fewer transconjugants were observed in animals fed a high‐fat human type diet, while high levels of plasmid transfer were only observed at doses of donor L. lactis greater than 109 cfu.
Conclusions: The utility of models of the human gut in monitoring DNA transfer events within the gut microbiota was demonstrated.
Significance and Impact of the Study: Such findings give some confidence for the use of GMMOs with recombinant DNA borne on nonconjugative elements in fermented foods. HBA rats are a suitable model for monitoring the fate of food‐borne GMMOs. |
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ISSN: | 1364-5072 1365-2672 |
DOI: | 10.1046/j.1365-2672.2002.01770.x |