The modularity of microbial interaction network in healthy human saliva: Stability and specificity

Dan Liu, Xingpeng Jiang, Huiru Zheng, Bo Xie, Haiying / HY Wang, Tingting He, Xiaohua Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The human oral cavity is an important habitat of microbes in the human body. It includes the colonization of various microorganisms such as bacteria, archaea, fungi, protozoa and viruses. Although oral diseases have been studied for decades, we have limited understanding of the boundaries of a healthy oral ecosystem and ecological shift toward dysbiosis. Here, we analyzed salivary microbiomes from 268 healthy adults after overnight fasting. The microbiome data set is firstly divided into five sample clusters based on the similarity pattern of microbial abundance. For each cluster, the correlation networks among salivary bacteria are constructed based on an ensemble of six correlations and two dissimilarity measure. The stability and specificity of modularity in the five microbial networks are investigated. The existences of conserved and changing modules were found across five microbial correlation networks.
Original languageEnglish
Title of host publicationUnknown
PublisherIEEE
Pages2048-2053
Number of pages6
ISBN (Electronic)978-1-5090-3050-7
DOIs
Publication statusPublished - 2017
Event2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Kansas City, MO, USA
Duration: 16 Nov 2017 → …

Conference

Conference2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Period16/11/17 → …

Keywords

  • Correlation
  • Correlation coefficient
  • Random variables
  • Microwave integrated circuits
  • Microorganisms
  • Covariance matrices
  • Probability distribution

Fingerprint Dive into the research topics of 'The modularity of microbial interaction network in healthy human saliva: Stability and specificity'. Together they form a unique fingerprint.

Cite this