Department of Environmental Health, University of Cincinnati College of Medicine, P.O. Box 670056, 160 Panzeca Way, Cincinnati, OH, 45267-0056, USA,
Environ Monit Assess. 2014 Dec;186(12):8773-83. doi: 10.1007/s10661-014-4071-4. Epub 2014 Oct 22.
Both Streptomyces species and mold species have previously been isolated from moisture-damaged building materials; however, an association between these two groups of microorganisms in indoor environments is not clear. In this study, we used a culture-independent method, PCR-denaturing gradient gel electrophoresis (PCR-DGGE), to investigate the composition of the Streptomyces community in house dust. Twenty-three dust samples each from two sets of homes categorized as high-mold and low-mold based on mold-specific quantitative PCR analysis were used in the study. Taxonomic identification of prominent bands was performed by cloning and sequencing. Associations between DGGE amplicon band intensities and home mold status were assessed using univariate analyses as well as multivariate recursive partitioning (decision trees) to test the predictive value of combinations of bands intensities. In the final classification tree, a combination of two bands was significantly associated with mold status of the home (p = 0.001). The sequence corresponding to one of the bands in the final decision tree matched a group of Streptomyces species that included Streptomyces coelicolor and Streptomyces sampsonii, both of which have been isolated from moisture-damaged buildings previously. The closest match for the majority of sequences corresponding to a second band consisted of a group of Streptomyces species that included Streptomyces hygroscopicus, an important producer of antibiotics and immunosuppressors. Taken together, the study showed that DGGE can be a useful tool for identifying bacterial species that may be more prevalent in mold-damaged buildings.
两种链霉菌物种和霉菌物种以前都从潮湿损坏的建筑材料中分离出来;然而，室内环境中这两组微生物之间的联系尚不清楚。在这项研究中，我们使用了一种非培养的方法，即聚合酶链反应-变性梯度凝胶电泳(PCR-DGGE)，来研究室内灰尘中链霉菌群落的组成。根据霉菌特异性定量 PCR 分析，将两组房屋各分为高霉菌和低霉菌两类，每组使用 23 个灰尘样本进行研究。通过克隆和测序对优势条带进行分类鉴定。使用单变量分析以及多元递归分区(决策树)评估 DGGE 扩增子带强度与家庭霉菌状态之间的关联，以测试带强度组合的预测值。在最终的分类树中，两个条带的组合与家庭的霉菌状态显著相关(p=0.001)。最终决策树中条带的序列与一组链霉菌物种相对应，其中包括先前从潮湿损坏的建筑物中分离出的变铅青链霉菌和链霉菌 sampsonii。大多数与第二条带相对应的序列的最接近匹配是由一组链霉菌物种组成的，其中包括吸水链霉菌，它是抗生素和免疫抑制剂的重要生产者。总的来说，这项研究表明，DGGE 可以作为一种有用的工具，用于识别可能在霉菌损坏的建筑物中更为普遍的细菌物种。
