Improved detection of microbial risk of releasing genetically modified bacteria in soil by using massive sequencing and antibiotic resistance selection

Il Han, Tae Kwon Lee, Jungmin Han, Tuan Van Doan, Seong Bo Kim, Joonhong Park

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

High-throughput 16S rRNA gene-targeted pyrosequencing was used with commonly used risk assessment techniques to evaluate the potential microbial risk in soil after inoculating genetically modified (GM) Corynebacterium glutamicum. To verify the risk, reference experiments were conducted in parallel using well-defined and frequently used GM Escherichia coli and wild-type strains. The viable cell count showed that the number of GM bacteria in the soil was reduced to below the detection limit within 10 days, while the molecular indicator for GM plasmids was detected throughout the experiment by using quantitative real-time polymerase chain reactions. Subsequent pyrosequencing showed an insignificant influence of the GM bacteria and/or their GM plasmids on the structure of the soil bacterial community this was similar to non-GM wild-type strains. However, pyrosequencing combined with kanamycin-resistant bacteria selection uncovered a potential risk of GM bacteria on the soil bacterial community and pathogens. The results of the improved methodology showed that the microbial risk attributable to GM C. glutamicum was relatively lower than that attributable to the reference GM E. coli.

Original languageEnglish
Pages (from-to)172-178
Number of pages7
JournalJournal of Hazardous Materials
Volume227-228
DOIs
Publication statusPublished - 2012 Aug 15

Fingerprint

antibiotic resistance
Antibiotics
Microbial Drug Resistance
Bacteria
Soil
Corynebacterium glutamicum
Anti-Bacterial Agents
Soils
bacterium
plasmid
Escherichia coli
Plasmids
soil
Bacterial Structures
Kanamycin
Polymerase chain reaction
Pathogens
rRNA Genes
Risk assessment
polymerase chain reaction

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution
  • Health, Toxicology and Mutagenesis

Cite this

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title = "Improved detection of microbial risk of releasing genetically modified bacteria in soil by using massive sequencing and antibiotic resistance selection",
abstract = "High-throughput 16S rRNA gene-targeted pyrosequencing was used with commonly used risk assessment techniques to evaluate the potential microbial risk in soil after inoculating genetically modified (GM) Corynebacterium glutamicum. To verify the risk, reference experiments were conducted in parallel using well-defined and frequently used GM Escherichia coli and wild-type strains. The viable cell count showed that the number of GM bacteria in the soil was reduced to below the detection limit within 10 days, while the molecular indicator for GM plasmids was detected throughout the experiment by using quantitative real-time polymerase chain reactions. Subsequent pyrosequencing showed an insignificant influence of the GM bacteria and/or their GM plasmids on the structure of the soil bacterial community this was similar to non-GM wild-type strains. However, pyrosequencing combined with kanamycin-resistant bacteria selection uncovered a potential risk of GM bacteria on the soil bacterial community and pathogens. The results of the improved methodology showed that the microbial risk attributable to GM C. glutamicum was relatively lower than that attributable to the reference GM E. coli.",
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Improved detection of microbial risk of releasing genetically modified bacteria in soil by using massive sequencing and antibiotic resistance selection. / Han, Il; Lee, Tae Kwon; Han, Jungmin; Doan, Tuan Van; Kim, Seong Bo; Park, Joonhong.

In: Journal of Hazardous Materials, Vol. 227-228, 15.08.2012, p. 172-178.

Research output: Contribution to journalArticle

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