Kettleson Eric M, Adhikari Atin, Vesper Stephen, Coombs Kanistha, Indugula Reshmi, Reponen Tiina
University of Cincinnati, Department of Environmental Health, P.O. Box 670056, 3223 Eden Ave., Cincinnati, OH 45267-0056, United States; ZF Steering Systems NACAM Corp, 15 Spiral Drive, Florence, KY 41042, United States.
University of Cincinnati, Department of Environmental Health, P.O. Box 670056, 3223 Eden Ave., Cincinnati, OH 45267-0056, United States; Department of Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, 501 Forest Drive, Statesboro, GA 30460, United States.
Environ Res. 2015 Apr;138:130-5. doi: 10.1016/j.envres.2015.02.003. Epub 2015 Feb 20.
The microbiome of the home is of great interest because of its possible impact on health. Our goal was to identify some of the factors that determine the richness, evenness and diversity of the home's fungal and bacterial microbiomes.
Vacuumed settled dust from homes (n=35) in Cincinnati, OH, were analyzed by pyrosequencing to determine the fungal and bacterial relative sequence occurrence. The correlation coefficients between home environmental characteristics, including age of home, Environmental Relative Moldiness Index (ERMI) values, occupant number, relative humidity and temperature, as well as pets (dog and cat) were evaluated for their influence on fungal and bacterial communities. In addition, linear discriminant analysis (LDA) was used for identifying fungal and bacterial genera and species associated with those housing determinants found to be significant.
The fungal richness was found to be positively correlated with age of home (p=0.002), ERMI value (p=0.003), and relative humidity (p=0.015) in the home. However, fungal evenness and diversity were only correlated with the age of home (p=0.001). Diversity and evenness (not richness) of the bacterial microbiome in the homes were associated with dog ownership. Linear discriminant analysis showed total of 39 putative fungal genera/species with significantly higher LDA scores in high ERMI homes and 47 genera/species with significantly higher LDA scores in homes with high relative humidity. When categorized according to the age of the home, a total of 67 fungal genera/species had LDA scores above the significance threshold. Dog ownership appeared to have the most influence on the bacterial microbiome, since a total of 130 bacterial genera/species had significantly higher LDA scores in homes with dogs.
Some key determinants of the fungal and bacterial microbiome appear to be excess moisture, age of the home and dog ownership.
家庭微生物组因其对健康可能产生的影响而备受关注。我们的目标是确定一些决定家庭真菌和细菌微生物组丰富度、均匀度和多样性的因素。
对俄亥俄州辛辛那提市35户家庭的真空沉降灰尘进行焦磷酸测序分析，以确定真菌和细菌的相对序列出现情况。评估包括房屋年龄、环境相对霉菌指数（ERMI）值、居住人数、相对湿度和温度以及宠物（狗和猫）在内的家庭环境特征之间的相关系数，以考察它们对真菌和细菌群落的影响。此外，使用线性判别分析（LDA）来识别与那些被发现具有显著意义的居住决定因素相关的真菌和细菌属及种。
发现家庭中的真菌丰富度与房屋年龄（p = 0.002）、ERMI值（p = 0.003）和相对湿度（p = 0.015）呈正相关。然而，真菌均匀度和多样性仅与房屋年龄相关（p = 0.001）。家庭中细菌微生物组的多样性和均匀度（而非丰富度）与养狗有关。线性判别分析显示，在高ERMI值的家庭中，共有39个假定的真菌属/种的LDA得分显著更高；在相对湿度高的家庭中，有47个属/种的LDA得分显著更高。根据房屋年龄进行分类时，共有67个真菌属/种的LDA得分高于显著性阈值。养狗似乎对细菌微生物组影响最大，因为在有狗的家庭中，共有130个细菌属/种的LDA得分显著更高。
真菌和细菌微生物组的一些关键决定因素似乎是水分过多、房屋年龄和养狗情况。
