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Whole-Genome Sequencing Analysis Accurately Predicts Antimicrobial Resistance Phenotypes in Campylobacter spp.

机译:全基因组测序分析可准确预测弯曲杆菌属中的抗菌素耐药表型。

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The objectives of this study were to identify antimicrobial resistance genotypes for Campylobacter and to evaluate the correlation between resistance phenotypes and genotypes using in vitro antimicrobial susceptibility testing and whole-genome sequencing (WGS). A total of 114 Campylobacter species isolates (82 C. coli and 32 C. jejuni ) obtained from 2000 to 2013 from humans, retail meats, and cecal samples from food production animals in the United States as part of the National Antimicrobial Resistance Monitoring System were selected for study. Resistance phenotypes were determined using broth microdilution of nine antimicrobials. Genomic DNA was sequenced using the Illumina MiSeq platform, and resistance genotypes were identified using assembled WGS sequences through blastx analysis. Eighteen resistance genes, including tet (O), bla _(OXA-61), catA , lnu (C), aph(2 ″ )-Ib , aph(2 ″ )-Ic , aph(2 ′ )-If , aph(2 ″ )-Ig , aph(2 ″ )-Ih , aac(6 ′ )-Ie-aph(2 ″ )-Ia , aac(6 ′ )-Ie-aph(2 ″ )-If , aac(6 ′ )-Im , aadE , sat4 , ant(6 ′ ) , aad9 , aph(3 ′ )-Ic , and aph(3 ′ )-IIIa , and mutations in two housekeeping genes ( gyrA and 23S rRNA) were identified. There was a high degree of correlation between phenotypic resistance to a given drug and the presence of one or more corresponding resistance genes. Phenotypic and genotypic correlation was 100% for tetracycline, ciprofloxacinalidixic acid, and erythromycin, and correlations ranged from 95.4% to 98.7% for gentamicin, azithromycin, clindamycin, and telithromycin. All isolates were susceptible to florfenicol, and no genes associated with florfenicol resistance were detected. There was a strong correlation (99.2%) between resistance genotypes and phenotypes, suggesting that WGS is a reliable indicator of resistance to the nine antimicrobial agents assayed in this study. WGS has the potential to be a powerful tool for antimicrobial resistance surveillance programs.
机译:这项研究的目的是鉴定弯曲杆菌的抗菌素耐药基因型,并使用体外抗菌药敏试验和全基因组测序(WGS)评估耐药表型与基因型之间的相关性。作为国家抗菌素耐药性监测系统的一部分,从2000年至2013年从人类,零售肉类和盲肠样品中从美国食品生产动物中总共获得了114株弯曲杆菌属分离株(82株大肠杆菌和空肠弯曲菌32株)。选择学习。使用9种抗菌素的肉汤微量稀释法确定耐药性表型。使用Illumina MiSeq平台对基因组DNA进行测序,并通过blastx分析使用组装的WGS序列鉴定抗性基因型。十八个抗性基因,包括tet(O),bla _(OXA-61),catA,lnu(C),aph(2'')-Ib,aph(2'')-Ic,aph(2′)-If,aph (2'')-Ig,aph(2'')-Ih,aac(6')-Ie-aph(2'')-Ia,aac(6')-Ie-aph(2'')-If,aac(6 ')-Im,aadE,sat4,ant(6'),aad9,aph(3')-Ic和aph(3')-IIIa以及两个管家基因(gyrA和23S rRNA)中的突变被确定。对特定药物的表型抗性与一种或多种相应抗性基因的存在之间存在高度相关性。四环素,环丙沙星/纳迪西酸和红霉素的表型和基因型相关性为100%,庆大霉素,阿奇霉素,克林霉素和替利霉素的相关性在95.4%至98.7%之间。所有分离株均对氟苯尼考敏感,并且未检测到与氟苯尼考抗性相关的基因。耐药基因型和表型之间有很强的相关性(99.2%),这表明WGS是本研究中对九种抗菌药物耐药的可靠指标。 WGS有可能成为抗菌素耐药性监测计划的有力工具。

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