Author(s)

Katsuji Watanabe^1*, Naoto Horinishi¹, Kunimasa Matsumoto¹, Akihiro Tanaka², Kenichi Yakushido³

¹Department of Life, Environment and Materials Science, Fukuoka Institute of technology, Fukuoka, Japan.
²National Agricultural Research Center for Kyushu-Okinawa Region, National Agriculture and Food Research Organization, Kumamoto, Japan.
³National Agricultural Research Center, National Agriculture and Food Research Organization, Tsukuba, Japan.

In the present manuscript it was presented whether spreading of antibiotic resistant bacterial groups in environment could be monitored by our newly developed method by enumerating antibiotic resistant bacterial groups in various biological wastes and composts. Although the numbers were not so high, diverse kinds of colistin resistant bacteria (25 mg·L^-1) were included in row cattle feces (1.78 × 10⁴ MPN g^-1) and cattle feces manure (>3.84 × 10⁴ MPN g^-1). Compost originated from leftover food (>44.8 × 10⁴ MPN g^-1) and shochu lee (>320 × 10⁴ MPN g^-1) included higher numbers of chlortetracycline resistant Pseudomonas sp., (25 mg·L^-1), and row cattle feces included higher numbers of chlortetracycline resistant Enterobacteriacea (15.7 × 10⁴ MPN g^-1), which mostly consisted from Pantoea sp. or Xenorhobdus doucetiae. Numbers of multi drug resistant bacteria, resistant to 25 mg·L^-1 of ciprofloxacin, streptomycin, chloramphenicol, and ampicillin, were the highest in row cattle feces (>143.6 × 10⁴ MPN g^-1), followed by cattle feces manure (4.19 × 10⁴ MPN g^-1), and shochu lee (0.36 × 10⁴ MPN g^-1), which included diverse kinds of bacterial group. The present results indicated that higher numbers of multi drug resistant bacteria were typically found in row cattle feces, and the method was found suitable to enumerate and identify them. These results suggested that the method might become their environmental risk evaluation method.

Colistin Resistant Bacteria, Chlortetracycline Resistant Bacteria, Multi Drug Resistant Bacteria, Multiple Enzyme Restriction Fragment Length Polymorphism Analysis, The Most Probable Number Method, Microchip Electrophoresis System

Watanabe, K. , Horinishi, N. , Matsumoto, K. , Tanaka, A. and Yakushido, K. (2016) A New Evaluation Method for Antibiotic-Resistant Bacterial Groups in Environment. Advances in Microbiology, 6, 133-151. doi: 10.4236/aim.2016.63014.