Correlation between Bacterial Cell Density and Abundance of Antibiotic Resistance on Milking Machine Surfaces Assessed by Cultivation and Direct qPCR Methods

被引:3
|
作者
Weber, Mareike [1 ]
Goepfert, Bettina [1 ]
von Wezyk, Sina [1 ]
Savin-Hoffmeyer, Michael [2 ]
Lipski, Andre [1 ]
机构
[1] Univ Bonn, Inst Nutr & Food Sci, Dept Food Microbiol & Hyg, Friedrich Hirzebruch Allee 7, D-53115 Bonn, Germany
[2] Univ Hosp Bonn, Inst Hyg & Publ Hlth, Venusberg Campus 1, D-53127 Bonn, Germany
关键词
Dairy microbiota; Surface-associated microbial consortia; Biofilm; Horizontal gene transfer; Antibiotic resistance; Blanket dry cow therapy; PROPIDIUM MONOAZIDE; BIOFILM;
D O I
10.1007/s00248-023-02225-7
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The relative abundance of antibiotic-resistant bacteria and antibiotic-resistance genes was surveyed for different parts of a milking machine. A cultivation approach based on swab samples showed a highly diverse microbiota, harboring resistances against cloxacillin, ampicillin, penicillin, and tetracycline. This approach demonstrated a substantial cloxacillin resistance of numerous taxa within milking machine microbiota coming along with regular use of cloxacillin for dry-off therapy of dairy cows. For the less abundant tetracycline-resistant bacteria we found a positive correlation between microbial cell density and relative abundance of tetracycline-resistant microorganisms (R-2 = 0.73). This indicated an accelerated dispersion of resistant cells for sampling locations with high cell density. However, the direct quantification of the tetM gene from the swap samples by qPCR showed the reverse relation to bacterial density if normalized against the abundance of 16S rRNA genes (R-2 = 0.88). The abundance of 16S rRNA genes was analyzed by qPCR combined with a propidium monoazide treatment, which eliminates 16S rRNA gene signals in negative controls.
引用
收藏
页码:1676 / 1685
页数:10
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  • [1] Correlation between Bacterial Cell Density and Abundance of Antibiotic Resistance on Milking Machine Surfaces Assessed by Cultivation and Direct qPCR Methods
    Mareike Weber
    Bettina Göpfert
    Sina von Wezyk
    Michael Savin-Hoffmeyer
    André Lipski
    Microbial Ecology, 2023, 86 : 1676 - 1685