Characterization of antibiotic resistance in commensal bacteria from an aquaculture ecosystem.
Characterization of antibiotic resistance in commensal bacteria from an aquaculture ecosystem.
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DOI：
10.3389/fmicb.2015.00914
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发表时间：
2015
影响因子：
5.2
通讯作者：
Wang HH
中科院分区：
文献类型：
--
作者：
Huang Y;Zhang L;Tiu L;Wang HH
该研究的目的是通过表征与水产养殖生产系统相关的抗生素耐药性的细菌菌株来提高对抗生素耐药性（AR）生态学的理解。共检测了4767株对磺胺甲恶唑/甲氧苄啶（Sul/Tri）、四环素（泰特）、红霉素（Erm）或头孢噻肟（Ctx）不敏感的分离株，这些分离株来源于水产养殖场的鱼类、饲料和环境样本，无已知的抗生素应用史。近80%的分离株在含相应抗生素的培养基中表现出多重耐药，PCR检测结果显示，不同分离株均检测到代表性AR基因，其中饲料分离株的阳性率最高。已鉴定的AR基因携带者涉及18个细菌属。选择的AR基因通过转化导致其他细菌获得抗性。在没有选择压力的情况下，许多菌株的AR性状是稳定的。富含AR的饲料和可能的环境因素可能导致水产养殖生态系统中的AR。对于最小抑菌浓度试验，发现脑心浸液培养基比阳离子调节的Mueller欣顿肉汤更适合于大多数检查的细菌，后者是标准方案推荐的临床分离株培养基。数据表明，由于微生物群的遗传多样性，需要更新方法，以更好地了解AR生态。
The objective of the study was to improve the understanding of antibiotic resistance (AR) ecology through characterization of antibiotic-resistant commensal isolates associated with an aquaculture production system. A total of 4767 isolates non-susceptible to sulfamethoxazole/trimethoprim (Sul/Tri), tetracycline (Tet), erythromycin (Erm), or cefotaxime (Ctx), originated from fish, feed, and environmental samples of an aquaculture farm with no known history of antibiotic applications were examined. Close to 80% of the isolates exhibited multi-drug resistance in media containing the corresponding antibiotics, and representative AR genes were detected in various isolates by PCR, with feed isolates had the highest positive rate detected. Identified AR gene carriers involved 18 bacterial genera. Selected AR genes led to acquired resistance in other bacteria by transformation. The AR traits in many isolates were stable in the absence of selective pressure. AR-rich feed and possibly environmental factors may contribute to AR in the aquaculture ecosystem. For minimum inhibitory concentration test, brain heart infusion medium was found more suitable for majority of the bacteria examined than cation-adjusted Mueller Hinton broth, with latter being the recommended medium for clinical isolates by standard protocol. The data indicated a need to update the methodology due to genetic diversity of microbiota for better understanding of the AR ecology.