Laboratory for Molecular Biology and Microbial Food Safety, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
RNA Biology & Applied Bioinformatics, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
BMC Genomics. 2019 Apr 11;20(1):284. doi: 10.1186/s12864-019-5648-7.
The effect of mutations conferring antibiotic resistance can depend on the genetic background. To determine if a previously de novo acquired antibiotic resistance influences the adaptation to a second antibiotic, antibiotic resistance was selected for by exposure to stepwise increasing sublethal levels of amoxicillin, enrofloxacin, kanamycin, or tetracycline. E. coli populations adapted to either a single or two antibiotics sequentially were characterized using whole genome population sequencing and MIC measurements.
In a wild-type background, adaptation to any of the antibiotics resulted in the appearance of well-known mutations, as well as a number of mutated genes not known to be associated with antibiotic resistance. Development of a second resistance in a strain with an earlier acquired resistance to a different antibiotic did not always result in the appearance of all mutations associated with resistance in a wild-type background. In general, a more varied set of mutations was acquired during secondary adaptation. The ability of E. coli to maintain the first resistance during this process depended on the combination of antibiotics used. The maintenance of mutations associated with resistance to the first antibiotic did not always predict the residual MIC for that compound.
In general, the data presented here indicate that adaptation to each antibiotic is unique and independent. The mutational trajectories available in already resistant cells appear more varied than in wild-type cells, indicating that the genetic background of E. coli influences resistance development. The observed mutations cannot always fully explain the resistance pattern observed, indicating a crucial role for adaptation on the gene expression level in de novo acquisition of antibiotic resistance.
抗生素耐药性突变的影响可能取决于遗传背景。为了确定新获得的抗生素耐药性是否会影响对第二种抗生素的适应,通过逐步暴露于亚致死水平的阿莫西林、恩诺沙星、卡那霉素或四环素来选择抗生素耐药性。使用全基因组种群测序和 MIC 测量来描述适应单一或两种抗生素的大肠杆菌种群。
在野生型背景下,适应任何抗生素都会导致出现众所周知的突变,以及许多与抗生素耐药性无关的突变基因。在具有先前获得对不同抗生素的耐药性的菌株中发展第二种耐药性并不总是导致出现与野生型背景中所有与耐药性相关的突变。一般来说,在二次适应过程中会获得更多样化的突变。大肠杆菌在这个过程中维持第一种耐药性的能力取决于使用的抗生素组合。与第一种抗生素耐药性相关的突变的维持并不总是能预测该化合物的残留 MIC。
总的来说,这里提出的数据表明,每种抗生素的适应都是独特和独立的。已经耐药的细胞中可用的突变轨迹比野生型细胞中的更具多样性,这表明大肠杆菌的遗传背景会影响耐药性的发展。观察到的突变不能完全解释观察到的耐药模式,这表明在新获得抗生素耐药性方面,基因表达水平的适应性起着至关重要的作用。