Hartmann Erica M, Hickey Roxana, Hsu Tiffany, Betancourt Román Clarisse M, Chen Jing, Schwager Randall, Kline Jeff, Brown G Z, Halden Rolf U, Huttenhower Curtis, Green Jessica L
Department of Biostatistics, Harvard T.H. Chan School of Public Health , Boston, Massachusetts 02115, United States.
Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States.
Environ Sci Technol. 2016 Sep 20;50(18):9807-15. doi: 10.1021/acs.est.6b00262. Epub 2016 Sep 7.
Antibiotic resistance is increasingly widespread, largely due to human influence. Here, we explore the relationship between antibiotic resistance genes and the antimicrobial chemicals triclosan, triclocarban, and methyl-, ethyl-, propyl-, and butylparaben in the dust microbiome. Dust samples from a mixed-use athletic and educational facility were subjected to microbial and chemical analyses using a combination of 16S rRNA amplicon sequencing, shotgun metagenome sequencing, and liquid chromatography tandem mass spectrometry. The dust resistome was characterized by identifying antibiotic resistance genes annotated in the Comprehensive Antibiotic Resistance Database (CARD) from the metagenomes of each sample using the Short, Better Representative Extract Data set (ShortBRED). The three most highly abundant antibiotic resistance genes were tet(W), blaSRT-1, and erm(B). The complete dust resistome was then compared against the measured concentrations of antimicrobial chemicals, which for triclosan ranged from 0.5 to 1970 ng/g dust. We observed six significant positive associations between the concentration of an antimicrobial chemical and the relative abundance of an antibiotic resistance gene, including one between the ubiquitous antimicrobial triclosan and erm(X), a 23S rRNA methyltransferase implicated in resistance to several antibiotics. This study is the first to look for an association between antibiotic resistance genes and antimicrobial chemicals in dust.
抗生素耐药性日益普遍,这在很大程度上归因于人类的影响。在此,我们探讨了灰尘微生物群落中抗生素耐药基因与抗菌化学物质三氯生、三氯卡班以及甲基、乙基、丙基和丁基对羟基苯甲酸酯之间的关系。来自一个兼具体育和教育功能的综合设施的灰尘样本,采用16S rRNA扩增子测序、鸟枪法宏基因组测序以及液相色谱串联质谱联用技术进行了微生物和化学分析。通过使用短而更具代表性的提取数据集(ShortBRED),从每个样本的宏基因组中识别在综合抗生素耐药性数据库(CARD)中注释的抗生素耐药基因,对灰尘耐药组进行了表征。三种丰度最高的抗生素耐药基因是tet(W)、blaSRT - 1和erm(B)。然后将完整的灰尘耐药组与所测得的抗菌化学物质浓度进行比较,其中三氯生的浓度范围为0.5至1970 ng/g灰尘。我们观察到抗菌化学物质浓度与抗生素耐药基因相对丰度之间存在六个显著的正相关关系,其中包括无处不在的抗菌剂三氯生与erm(X)之间的一个正相关关系,erm(X)是一种与对多种抗生素耐药相关的23S rRNA甲基转移酶。这项研究首次探寻了灰尘中抗生素耐药基因与抗菌化学物质之间的关联。