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Network analysis suggests a potentially ‘evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities

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 in...

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Autores principales: (Sam) Ma, Zhanshan, Guan, Qiong, Ye, Chengxi, Zhang, Chengchen, Foster, James A., Forney, Larry J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4317708/
https://www.ncbi.nlm.nih.gov/pubmed/25651890
http://dx.doi.org/10.1038/srep08275
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author (Sam) Ma, Zhanshan
Guan, Qiong
Ye, Chengxi
Zhang, Chengchen
Foster, James A.
Forney, Larry J.
author_facet (Sam) Ma, Zhanshan
Guan, Qiong
Ye, Chengxi
Zhang, Chengchen
Foster, James A.
Forney, Larry J.
author_sort (Sam) Ma, Zhanshan
collection PubMed
description 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.
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spelling pubmed-43177082015-02-13 Network analysis suggests a potentially ‘evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities (Sam) Ma, Zhanshan Guan, Qiong Ye, Chengxi Zhang, Chengchen Foster, James A. Forney, Larry J. Sci Rep Article 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. Nature Publishing Group 2015-02-05 /pmc/articles/PMC4317708/ /pubmed/25651890 http://dx.doi.org/10.1038/srep08275 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Article
(Sam) Ma, Zhanshan
Guan, Qiong
Ye, Chengxi
Zhang, Chengchen
Foster, James A.
Forney, Larry J.
Network analysis suggests a potentially ‘evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities
title Network analysis suggests a potentially ‘evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities
title_full Network analysis suggests a potentially ‘evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities
title_fullStr Network analysis suggests a potentially ‘evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities
title_full_unstemmed Network analysis suggests a potentially ‘evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities
title_short Network analysis suggests a potentially ‘evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities
title_sort network analysis suggests a potentially ‘evil' alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4317708/
https://www.ncbi.nlm.nih.gov/pubmed/25651890
http://dx.doi.org/10.1038/srep08275
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