4.7 Article

Non-invasive determination of conjugative transfer of plasmids bearing antibiotic-resistance genes in biofilm-bound bacteria: effects of substrate loading and antibiotic selection

期刊

APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
卷 97, 期 1, 页码 317-328

出版社

SPRINGER
DOI: 10.1007/s00253-012-4179-9

关键词

Biofilm plasmid transfer; Non-invasive biofilm diagnostics; Antibiotic selection pressure; Confocal microscopy

资金

  1. NSF [CBET-0450253]
  2. NIH [R01 EB007575]
  3. NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES [R03AI079461] Funding Source: NIH RePORTER
  4. NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [R01EB007575] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Biofilms cause much of all human microbial infections. Attempts to eradicate biofilm-based infections rely on disinfectants and antibiotics. Unfortunately, biofilm bacteria are significantly less responsive to antibiotic stressors than their planktonic counterparts. Sublethal doses of antibiotics can actually enhance biofilm formation. Here, we have developed a non-invasive microscopic image analyses to quantify plasmid conjugation within a developing biofilm. Corroborating destructive samples were analyzed by a cultivation-independent flow cytometry analysis and a selective plate count method to cultivate transconjugants. Increases in substrate loading altered biofilm 3-D architecture and subsequently affected the frequency of plasmid conjugation (decreases at least two times) in the absence of any antibiotic selective pressure. More importantly, donor populations in biofilms exposed to a sublethal dose of kanamycin exhibited enhanced transfer efficiency of plasmids containing the kanamycin resistance gene, up to tenfold. However, when stressed with a different antibiotic, imipenem, transfer of plasmids containing the kan(R+) gene was not enhanced. These preliminary results suggest biofilm bacteria sense antibiotics to which they are resistant, which enhances the spread of that resistance. Confocal scanning microscopy coupled with our non-invasive image analysis was able to estimate plasmid conjugative transfer efficiency either averaged over the entire biofilm landscape or locally with individual biofilm clusters.

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