Hiel Stephan J P, Hendriks Amber C A, Eijkenboom Jos J A, Bosch Thijs, Coolen Jordy P M, Melchers Willem J G, Anröchte Paul, Camps Simone M T, Verweij Paul E, Zhang Jianhua, Dommelen Laura van
Department of Intensive Care, Máxima Medical Centre, De Run 4600, 5504 DB Veldhoven, The Netherlands.
Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands.
J Fungi (Basel). 2024 Jan 6;10(1):51. doi: 10.3390/jof10010051.
Whole genome sequencing (WGS) is widely used for outbreak analysis of bacteriology and virology but is scarcely used in mycology. Here, we used WGS for genotyping isolates from a potential outbreak in an intensive care unit (ICU) during construction work. After detecting the outbreak, fungal cultures were performed on all surveillance and/or patient respiratory samples. Environmental samples were obtained throughout the ICU. WGS was performed on 30 isolates, of which six patient samples and four environmental samples were related to the outbreak, and twenty samples were unrelated, using the Illumina NextSeq 550. A SNP-based phylogenetic tree was created from outbreak samples and unrelated samples. Comparative analysis (WGS and short tandem repeats (STRs), microsatellite loci analysis) showed that none of the strains were related to each other. The lack of genetic similarity suggests the accumulation of spores in the hospital environment, rather than a single source that supported growth and reproduction of . This supports the hypothesis that the outbreak was likely caused by release of spores during construction work. Indeed, no new cases were observed in the ICU after cessation of construction. This study demonstrates that WGS is a suitable technique for examining inter-strain relatedness of in the setting of an outbreak investigation.
全基因组测序(WGS)广泛应用于细菌学和病毒学的疫情分析,但在真菌学中很少使用。在此,我们使用WGS对重症监护病房(ICU)在建设期间可能爆发疫情的分离株进行基因分型。在检测到疫情后,对所有监测和/或患者呼吸道样本进行了真菌培养。在整个ICU采集了环境样本。使用Illumina NextSeq 550对30株分离株进行了WGS,其中6份患者样本和4份环境样本与疫情有关,20份样本无关。从疫情样本和无关样本构建了基于单核苷酸多态性(SNP)的系统发育树。比较分析(WGS和短串联重复序列(STR)、微卫星位点分析)表明,这些菌株之间均无关联。缺乏遗传相似性表明医院环境中孢子的积累,而非单一来源支持其生长和繁殖。这支持了疫情可能是由建设期间孢子释放引起的假设。事实上,建设停止后,ICU未观察到新的病例。本研究表明,WGS是在疫情调查中检测菌株间相关性的合适技术。