Longitudinal analysis of microbial interaction between humans and the indoor environment

被引:666
作者
Lax, Simon [1 ,2 ]
Smith, Daniel P. [1 ,2 ,3 ]
Hampton-Marcell, Jarrad [1 ,2 ]
Owens, Sarah M. [2 ,4 ]
Handley, Kim M. [1 ,2 ]
Scott, Nicole M. [1 ,2 ]
Gibbons, Sean M. [2 ,5 ]
Larsen, Peter [6 ,7 ]
Shogan, Benjamin D. [8 ]
Weiss, Sophie [9 ,10 ]
Metcalf, Jessica L. [9 ]
Ursell, Luke K. [9 ,11 ]
Vazquez-Baeza, Yoshiki [9 ,11 ,12 ]
Van Treuren, Will [9 ]
Hasan, Nur A. [13 ,14 ]
Gibson, Molly K. [15 ,16 ,17 ]
Colwell, Rita [13 ,14 ]
Dantas, Gautam [15 ,16 ,17 ]
Knight, Rob [9 ,11 ,18 ]
Gilbert, Jack A. [1 ,2 ,5 ]
机构
[1] Univ Chicago, Dept Ecol & Evolut, Chicago, IL 60637 USA
[2] Argonne Natl Lab, Inst Genom & Syst Biol, Argonne, IL 60439 USA
[3] Baylor Coll Med, Dept Mol Virol & Microbiol, Alkek Ctr Metagen & Microbiome Res, Houston, TX 77030 USA
[4] Univ Chicago, Computat Inst, Chicago, IL 60637 USA
[5] Univ Chicago, Grad Program Biophys Sci, Chicago, IL 60637 USA
[6] Argonne Natl Lab, Dept Biosci, Argonne, IL 60439 USA
[7] Univ Illinois, Dept Bioengn, Chicago, IL 60607 USA
[8] Univ Chicago Med, Dept Surg, Chicago, IL 60637 USA
[9] Univ Colorado, Biofrontiers Inst, Boulder, CO 80304 USA
[10] Univ Colorado, Dept Chem & Biol Engn, Boulder, CO 80304 USA
[11] Univ Colorado, Dept Chem & Biochem, Boulder, CO 80304 USA
[12] Univ Colorado, Dept Comp Sci, Boulder, CO 80304 USA
[13] CosmosID, College Pk, MD 20742 USA
[14] Univ Maryland, Inst Adv Comp Studies, Ctr Bioinformat & Computat Biol, College Pk, MD 20742 USA
[15] Washington Univ, Sch Med, Ctr Genome Sci & Syst Biol, St Louis, MO 63108 USA
[16] Washington Univ, Sch Med, Dept Pathol & Immunol, St Louis, MO 63110 USA
[17] Washington Univ, Dept Biomed Engn, St Louis, MO 63130 USA
[18] Univ Colorado, Howard Hughes Med Inst, Boulder, CO 80309 USA
关键词
HUMAN SKIN MICROBIOTA; DIVERSITY; HOUSE; BACTERIA; SURFACES; SPREAD; FUNGI; TIME;
D O I
10.1126/science.1254529
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The bacteria that colonize humans and our built environments have the potential to influence our health. Microbial communities associated with seven families and their homes over 6 weeks were assessed, including three families that moved their home. Microbial communities differed substantially among homes, and the home microbiome was largely sourced from humans. The microbiota in each home were identifiable by family. Network analysis identified humans as the primary bacterial vector, and a Bayesian method significantly matched individuals to their dwellings. Draft genomes of potential human pathogens observed on a kitchen counter could be matched to the hands of occupants. After a house move, the microbial community in the new house rapidly converged on the microbial community of the occupants' former house, suggesting rapid colonization by the family's microbiota.
引用
收藏
页码:1048 / 1052
页数:5
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