Shani Noam, Oberhaensli Simone, Berthoud Hélène, Schmidt Remo S, Bachmann Hans-Peter
Competence Division Methods Development and Analytics, Agroscope, Schwarzenburgstrasse 161, 3003 Bern, Switzerland.
Interfaculty Bioinformatics Unit and SIB Swiss Institute of Bioinformatics, University of Bern, Baltzerstrasse 6, 3012 Bern, Switzerland.
Foods. 2021 Dec 18;10(12):3145. doi: 10.3390/foods10123145.
As components of many cheese starter cultures, strains of subsp. () must be tested for their antimicrobial susceptibility to avoid the potential horizontal transfer of antibiotic resistance (ABR) determinants in the human body or in the environment. To this end, a phenotypic test, as well as a screening for antibiotic resistance genes (ARGs) in genome sequences, is commonly performed. Historically, microbiological cutoffs (MCs), which are used to classify strains as either 'sensitive' or 'resistant' based on the minimal inhibitory concentrations (MICs) of a range of clinically-relevant antibiotics, have been defined for the whole group of the obligate homofermentative lactobacilli, which includes among many other species. This often leads to inaccuracies in the appreciation of the ABR status of tested strains and to false positive results. To define more accurate MCs for , we analyzed the MIC profiles of strains originating from various habitats by using the broth microdilution method. These strains' genomes were sequenced and used to complement our analysis involving a search for ARGs, as well as to assess the phylogenetic proximity between strains. Of strains, 52.1% displayed MICs that were higher than the defined MCs for kanamycin, 9.9% for chloramphenicol, and 5.6% for tetracycline, but no ARG was conclusively detected. On the other hand, all strains displayed MICs below the defined MCs for ampicillin, gentamycin, erythromycin, and clindamycin. Considering our results, we propose the adaptation of the MCs for six of the tested clinically-relevant antibiotics to improve the accuracy of phenotypic antibiotic testing.
作为许多奶酪发酵剂培养物的组成部分,亚种的菌株必须进行抗菌药敏试验,以避免抗生素抗性(ABR)决定因素在人体或环境中发生潜在的水平转移。为此,通常会进行表型试验以及对基因组序列中的抗生素抗性基因(ARG)进行筛查。从历史上看,微生物学临界值(MC)是根据一系列临床相关抗生素的最低抑菌浓度(MIC)将菌株分类为“敏感”或“耐药”,这些临界值是针对包括许多其他物种在内的专性同型发酵乳杆菌的整个群体定义的。这往往导致对受试菌株ABR状态的评估不准确,并产生假阳性结果。为了为亚种定义更准确的MC,我们使用肉汤微量稀释法分析了来自不同栖息地的菌株的MIC谱。对这些菌株的基因组进行了测序,并用于补充我们的分析,包括寻找ARG,以及评估菌株之间的系统发育亲缘关系。在这些菌株中,52.1%的菌株对卡那霉素的MIC高于定义的MC,对氯霉素的为9.9%,对四环素的为5.6%,但未最终检测到ARG。另一方面,所有菌株对氨苄青霉素、庆大霉素、红霉素和克林霉素的MIC均低于定义的MC。考虑到我们的结果,我们建议调整六种受试临床相关抗生素的MC,以提高表型抗生素检测的准确性。