Longitudinal analysis of microbial interaction between humans and the indoor environment.
Longitudinal analysis of microbial interaction between humans and the indoor environment.
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DOI：
10.1126/science.1254529
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发表时间：
2014-08-29
期刊：
影响因子：
--
通讯作者：
Gilbert JA
中科院分区：
文献类型：
--
作者：
Lax S;Smith DP;Hampton-Marcell J;Owens SM;Handley KM;Scott NM;Gibbons SM;Larsen P;Shogan BD;Weiss S;Metcalf JL;Ursell LK;Vázquez-Baeza Y;Van Treuren W;Hasan NA;Gibson MK;Colwell R;Dantas G;Knight R;Gilbert JA
在人类和我们的建筑环境中定居的细菌有可能影响我们的健康。对七个家庭及其六周内的房屋进行了评估，其中包括三个搬回家的家庭。微生物群落在家庭中差异很大，家庭微生物组主要来自人类。每个家庭中的微生物群都是可识别的。网络分析确定人类是主要的细菌载体，贝叶斯方法将个体与其住所显著匹配。在厨房柜台上观察到的潜在人类病原体的基因组草案可以与居住者的手相匹配。搬家后，新房子里的微生物群落迅速聚集在居住者前房子的微生物群落上，这表明家庭微生物群迅速定植。
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 six weeks were assessed, including three families that moved home. Microbial communities differed significantly 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 were observed on a kitchen counter could be matched to the hands of occupants. Following 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.
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DOI：
10.1073/pnas.1310750111
发表时间：
2014-01-14
影响因子：
11.1
作者：
Fujimura, Kei E.;Demoor, Tine;Lynch, Susan V.
通讯作者：
Lynch, Susan V.
影响因子：
5.8
作者：
Nevalainen, A;Seuri, M
通讯作者：
Seuri, M
影响因子：
2.4
作者：
Lignell, U.;Meklin, T.;Nevalainen, A.
通讯作者：
Nevalainen, A.
DOI：
10.1126/science.1171700
发表时间：
2009-05-29
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Grice EA;Kong HH;Conlan S;Deming CB;Davis J;Young AC;NISC Comparative Sequencing Program;Bouffard GG;Blakesley RW;Murray PR;Green ED;Turner ML;Segre JA
通讯作者：
Segre JA
影响因子：
3
作者：
Dekio, I;Hayashi, H;Benno, Y
通讯作者：
Benno, Y