Abstract：
OBJECTIVE: Workers in the healthcare sector are exposed to a multitude of bacterial genera. The location of their work contributes significantly to shaping personal microbiomes. In this study, we investigated the role of the workspace on the nasal bacteriome of staff working in a healthcare-associated research facility.
METHODS: The anterior nares of 10 staff working in different laboratories on the ground and first floor of the research facility were aseptically swabbed. Genomic DNA from each sample was used to amplify the V3 and V4 regions of the 16S rRNA gene. The amplified products were sequenced using the MiSeq sequencer (Illumina). Operational taxonomic units were filtered through MG-RAST v.3.6. Taxonomic profiling and visualizations were performed in MicrobiomeAnalyst v2.0.
RESULTS: The Wilcoxson Sum test at median abundances (p < 0.05) indicated that seven taxa (Micromonosporaceae, Micromonospora, Lactobacillaceae, Lactobacillus, Betaproteobacteria, Burkholderiales, Pectobacterium) were significantly diverse between ground-floor and first-floor workers. The analysis of similarity coefficient was 0.412 (p < 0.03) between the ground and the first-floor workers. Random forest analysis predicted 15 features that were significantly different (p < 0.05) in individuals working in different laboratories. Species richness and evenness also differed according to the placement of individuals in respective laboratories.
CONCLUSIONS: These findings add to the knowledge that the healthcare support staff are at a speculated occupational risk. A slight shift in the abundances of bacterial genera and species might lead to unwanted consequences. Continual monitoring is thus warranted.
METHODS: The anterior nares of 10 staff working in different laboratories on the ground and first floor of the research facility were aseptically swabbed. Genomic DNA from each sample was used to amplify the V3 and V4 regions of the 16S rRNA gene. The amplified products were sequenced using the MiSeq sequencer (Illumina). Operational taxonomic units were filtered through MG-RAST v.3.6. Taxonomic profiling and visualizations were performed in MicrobiomeAnalyst v2.0.
RESULTS: The Wilcoxson Sum test at median abundances (p < 0.05) indicated that seven taxa (Micromonosporaceae, Micromonospora, Lactobacillaceae, Lactobacillus, Betaproteobacteria, Burkholderiales, Pectobacterium) were significantly diverse between ground-floor and first-floor workers. The analysis of similarity coefficient was 0.412 (p < 0.03) between the ground and the first-floor workers. Random forest analysis predicted 15 features that were significantly different (p < 0.05) in individuals working in different laboratories. Species richness and evenness also differed according to the placement of individuals in respective laboratories.
CONCLUSIONS: These findings add to the knowledge that the healthcare support staff are at a speculated occupational risk. A slight shift in the abundances of bacterial genera and species might lead to unwanted consequences. Continual monitoring is thus warranted.
摘要：
目的：医疗行业的工作人员接触到大量的细菌属。他们的工作地点大大有助于塑造个人微生物群。在这项研究中,我们调查了工作区对在医疗保健相关研究机构工作的工作人员鼻腔细菌组的作用.
方法：对研究设施地面和一楼不同实验室工作的10名工作人员的前鼻孔进行无菌擦拭。来自每个样品的基因组DNA用于扩增16SrRNA基因的V3和V4区域。使用MiSeq测序仪(Illumina)对扩增产物进行测序。操作分类单位（OTU）通过MG-RASTv3.6过滤。在MicrobiomeAnalystv2.0中进行了分类分析和可视化。
结果：中位数丰度的WilcoxsonSum检验（p<0.05）表明七个分类群（微单孢科，小单孢菌,乳酸杆菌科，乳酸菌,变形杆菌，Burkholderiales,pectobacterium）在一楼和一楼工人之间差异很大。地面与一楼工人之间的相似性分析（ANOSIM）系数为0.412（p<0.03）。随机森林分析预测了在不同实验室工作的个体中存在显着差异（p<0.05）的15个特征。根据个体在各自实验室中的放置，物种的丰富度和均匀度也有所不同。
结论：这些发现增加了医疗支持人员处于推测的职业风险中的知识。细菌属和物种的丰度略有变化可能会导致不必要的后果。因此，有必要进行持续监测。
方法：对研究设施地面和一楼不同实验室工作的10名工作人员的前鼻孔进行无菌擦拭。来自每个样品的基因组DNA用于扩增16SrRNA基因的V3和V4区域。使用MiSeq测序仪(Illumina)对扩增产物进行测序。操作分类单位（OTU）通过MG-RASTv3.6过滤。在MicrobiomeAnalystv2.0中进行了分类分析和可视化。
结果：中位数丰度的WilcoxsonSum检验（p<0.05）表明七个分类群（微单孢科，小单孢菌,乳酸杆菌科，乳酸菌,变形杆菌，Burkholderiales,pectobacterium）在一楼和一楼工人之间差异很大。地面与一楼工人之间的相似性分析（ANOSIM）系数为0.412（p<0.03）。随机森林分析预测了在不同实验室工作的个体中存在显着差异（p<0.05）的15个特征。根据个体在各自实验室中的放置，物种的丰富度和均匀度也有所不同。
结论：这些发现增加了医疗支持人员处于推测的职业风险中的知识。细菌属和物种的丰度略有变化可能会导致不必要的后果。因此，有必要进行持续监测。
