Comparing the selective and co-selective effects of different antimicrobials in bacterial communities.
Comparing the selective and co-selective effects of different antimicrobials in bacterial communities.
复制标题
比较不同抗菌药物在细菌群落中的选择性和共选择性作用。
DOI：
10.1016/j.ijantimicag.2019.03.001
复制
发表时间：
2019
影响因子：
10.8
通讯作者：
Murray AK
中科院分区：
文献类型：
--
作者：
Murray AK
细菌群落暴露在抗菌剂的鸡尾酒中，包括抗生素、重金属和生物杀伤性抗菌剂，如季铵化合物(QAC)。这些化合物对抗菌素耐药性(AMR)的选择或共选择的程度尚不完全清楚。在这项研究中，人类相关的废水来源的细菌群落暴露于苯扎氯铵(BAC)、环丙沙星或甲氧苄啶一周，以确定选择和共选择的潜力。通过元基因组分析确定抗生素耐药基因(ARGs)和金属或杀菌剂抗性基因(MBRGS)对细菌群落结构和流行率的影响。环丙沙星具有最大的共选择潜力，极大地丰富了对多种抗生素类别的耐药机制。相反，BAC暴露显著降低了ARGs和MBRGS的相对丰度，包括特征良好的qacexlux基因。然而，BAC暴露对细菌群落结构有显著影响。因此，BAC，以及潜在的其他QAC，在AMR的共同选择中并不像本研究中低于使用浓度的环丙沙星等抗生素那样发挥重要作用。这种方法可以用来确定优先化合物进行进一步研究，以更好地了解AMR在暴露于低于使用点浓度的抗菌剂的细菌群落中的进化。
Bacterial communities are exposed to a cocktail of antimicrobial agents, including antibiotics, heavy metals and biocidal antimicrobials such as quaternary ammonium compounds (QACs). The extent to which these compounds may select or co-select for antimicrobial resistance (AMR) is not fully understood. In this study, human-associated, wastewater-derived bacterial communities were exposed to either benzalkonium chloride (BAC), ciprofloxacin or trimethoprim at sub-point-of-use concentrations for one week to determine selective and co-selective potential. Metagenome analyses were performed to determine effects on bacterial community structure and prevalence of antibiotic resistance genes (ARGs) and metal or biocide resistance genes (MBRGS). Ciprofloxacin had the greatest co-selective potential, significantly enriching for resistance mechanisms to multiple antibiotic classes. Conversely, BAC exposure significantly reduced relative abundance of ARGs and MBRGS, including the well characterisedqacefflux genes. However, BAC exposure significantly impacted bacterial community structure. Therefore BAC, and potentially other QACs, did not play as significant a role in co-selection for AMR as antibiotics such as ciprofloxacin at sub-point-of-use concentrations in this study. This approach can be used to identify priority compounds for further study, to better understand evolution of AMR in bacterial communities exposed to sub-point-of-use concentrations of antimicrobials.