Network analysis suggests a potentially 'evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities
文献类型：期刊论文
| 作者 | Ma ZS[*]1; Guan Q1; Ye CX1,2; Zhang CC3; Foster JA4; Forney LJ4 |
| 刊名 | Scientific Reports
 |
| 出版日期 | 2015 |
| 卷号 | 5期号:X页码:e8275 |
| 通讯作者 | samma@uidaho.edu |
| 合作状况 | 其它 |
| 英文摘要 | The critical importance of human milk to infants and even human civilization has been well established. Yet our understanding of the milk microbiome has been limited to cataloguing OTUs and computation of community diversity. To the best of our knowledge, there has been no report on the bacterial interactions within the milk microbiome. To bridge this gap, we reconstructed a milk bacterial community network based on Hunt et al. Our analysis revealed that the milk microbiome network consists of two disconnected sub-networks. One sub-network is a fully connected complete graph consisting of seven genera as nodes and all of its pair-wise interactions among the bacteria are facilitative or cooperative. In contrast, the interactions in the other sub-network of eight nodes are mixed but dominantly cooperative. Somewhat surprisingly, the only 'non-cooperative' nodes in the second sub-network are mutually cooperative Staphylococcus and Corynebacterium that include some opportunistic pathogens. This potentially 'evil' alliance between Staphylococcus and Corynebacterium could be inhibited by the remaining nodes that cooperate with one another in the second sub-network. We postulate that the 'confrontation' between the 'evil' alliance and 'benign' alliance and the shifting balance between them may be responsible for dysbiosis of the milk microbiome that permits mastitis. |
| 收录类别 | SCI |
| 资助信息 | National Science Foundation of China (NSFC Grants No. 61175071, No. 71473243). |
| 语种 | 英语 |
| 公开日期 | 2015-03-02 |
| 源URL | [http://159.226.149.42:8088/handle/152453/8262]  |
| 专题 | 昆明动物研究所_计算生物与生物信息学 昆明动物研究所_遗传资源与进化国家重点实验室 |
| 作者单位 | 1.Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources & Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China 2.Department of Computer Science University of Maryland College Park, MD 20740, USA 3.School of Public Health Columbia University 722 West 168th Street New York, NY 10032, USA 4.Institute of Bioinformatics and Evolutionary Studies & Department of Biological Sciences University of Idaho Moscow, ID 83843, USA |
| 推荐引用方式 GB/T 7714 | Ma ZS[*],Guan Q,Ye CX,et al. Network analysis suggests a potentially 'evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities[J]. Scientific Reports,2015,5(X):e8275. |
| APA | Ma ZS[*],Guan Q,Ye CX,Zhang CC,Foster JA,&Forney LJ.(2015).Network analysis suggests a potentially 'evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities.Scientific Reports,5(X),e8275. |
| MLA | Ma ZS[*],et al."Network analysis suggests a potentially 'evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities".Scientific Reports 5.X(2015):e8275. |
入库方式： OAI收割
来源：昆明动物研究所
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