Garcia-Rubio Rocio, Escribano Pilar, Gomez Ana, Guinea Jesus, Mellado Emilia
Mycology Reference Laboratory, National Centre for Microbiology, Instituto de Salud Carlos III, Madrid, Spain.
Department of Clinical Microbiology and Infectious Diseases, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Front Microbiol. 2018 Jul 20;9:1626. doi: 10.3389/fmicb.2018.01626. eCollection 2018.
molecular typing has become increasingly more important for detecting outbreaks as well as for local and global epidemiological investigations and surveillance. Over the years, many different molecular methods have been described for genotyping this species. Some outstanding approaches are based on microsatellite markers (STR assay, which is the current gold standard), or based on sequencing data (TRESP typing improved in this work with a new marker and was renamed TRESPERG). Both methodologies were used to type a collection of 212 isolates that included 70 azole resistant strains with diverse resistance mechanisms from different geographic locations. Our results showed that both methods are totally reliable for epidemiological investigations showing similar stratification of the population. STR assay offered higher discriminatory power ( = 0.9993) than the TRESPERG typing method ( = 0.9972), but the latter does not require specific equipment or skilled personnel, allowing for a prompt integration into any clinical microbiology laboratory. Among azole resistant isolates, two groups were differentiated considering their resistance mechanisms: single point mutations (G54, M220, or G448), and promoter tandem repeat integrations with or without modifications (TR/L98H, TR/Y121F/A289T, or TR). The genotypic differences were assessed to explore the population structure as well as the genetic relationship between strains and their azole resistance profile. Genetic cluster analyses suggested that our population was formed by 6-7 clusters, depending on the methodology. Also, the azole susceptible and resistance population showed different structure and organization. The combination of both methodologies resolved the population structure in a similar way to what has been described in whole-genome sequencing works.
分子分型对于检测疫情爆发以及进行本地和全球流行病学调查与监测变得越来越重要。多年来,已经描述了许多不同的分子方法用于对该物种进行基因分型。一些出色的方法基于微卫星标记(STR 检测,这是当前的金标准),或者基于测序数据(本研究中使用新标记改进的 TRESP 分型并重新命名为 TRESPERG)。这两种方法都用于对 212 株菌株进行分型,其中包括 70 株来自不同地理位置、具有不同耐药机制的唑类耐药菌株。我们的结果表明,这两种方法对于显示相似人群分层的流行病学调查完全可靠。STR 检测比 TRESPERG 分型方法具有更高的鉴别力(= 0.9993),而后者不需要特定设备或专业人员,能够迅速整合到任何临床微生物实验室。在唑类耐药菌株中,根据其耐药机制分为两组:单点突变(G54、M220 或 G448),以及有或没有修饰的启动子串联重复整合(TR/L98H、TR/Y121F/A289T 或 TR)。评估基因型差异以探索种群结构以及菌株与其唑类耐药谱之间的遗传关系。遗传聚类分析表明,根据方法不同,我们的种群由 6 - 7 个簇组成。此外,唑类敏感和耐药种群显示出不同的结构和组织。两种方法的结合以与全基因组测序工作中所描述的类似方式解析了种群结构。