title: Characterization of microbial associations in human oral microbiome.
abstract: Microorganisms interact with each other within a community. Within the same community, some microorganisms tend to co-exist, whereas some others tend to avoid each other. The association among microorganisms can be revealed by computing the correlation between their abundance patterns that are measured through metagenomic sequencing across multiple communities. In this paper, we built an association network among microorganisms from the human oral microbiome. To improve its accuracy, we adopted a network deconvolution algorithm to filter out indirect associations, and we used an ensemble of three correlation measures to filter out the false-positive associations. When applying on the metagenomic data from human oral samples, experimental results showed that phylogenetically close microorganisms formed highly correlated network clusters. Additionally, most of the identified mutually exclusive associations were related to the order Lactobacillales.
authors.affiliation: School of Information and Computing, Indiana University, Bloomington, IN, USA Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea.
authors.forename: Min Su
authors.initials: MS
authors.lastname: Lee
authors.affiliation: School of Information and Computing, Indiana University, Bloomington, IN, USA Department of Software Convergence Technology, Ajou University, Suwon, Korea.
authors.forename: Sangyoon
authors.initials: S
authors.lastname: Oh
authors.affiliation: School of Information and Computing, Indiana University, Bloomington, IN, USA.
authors.forename: Haixu
authors.initials: H
authors.lastname: Tang
mesh_terms: D001419:Bacteria / Q000235:genetics; D056726:Genetic Association Studies / Q000379:methods*; D006801:Humans; D056186:Metagenomics / Q000379:methods*; D064307:Microbiota / Q000235:genetics*; D009055:Mouth / Q000382:microbiology*; D012336:RNA, Ribosomal, 16S / Q000235:genetics*; D017423:Sequence Analysis, RNA
chemical_list: D012336:RNA, Ribosomal, 16S
keywords: Association network; correlation; microbiome; network deconvolution