title: Unveiling Bacterial Interactions through Multidimensional Scaling and Dynamics Modeling.
abstract: We propose a new strategy to identify and visualize bacterial consortia by conducting replicated culturing of environmental samples coupled with high-throughput sequencing and multidimensional scaling analysis, followed by identification of bacteria-bacteria correlations and interactions. We conducted a proof of concept assay with pine-tree resin-based media in ten replicates, which allowed detecting and visualizing dynamical bacterial associations in the form of statistically significant and yet biologically relevant bacterial consortia.
authors.affiliation: Cavanilles Institute of Biodiversity and Evolutionary Biology (Universitat de València), 46020 Valencia, Spain.
authors.forename: Pedro
authors.initials: P
authors.lastname: Dorado-Morales
authors.affiliation: Cavanilles Institute of Biodiversity and Evolutionary Biology (Universitat de València), 46020 Valencia, Spain.
authors.forename: Cristina
authors.initials: C
authors.lastname: Vilanova
authors.affiliation: Instituto de Física Corpuscular, CSIC-UVEG, 46071, Valencia, Spain.
authors.forename: Carlos
authors.initials: C
authors.lastname: P Garay
authors.affiliation: Instituto de Física Corpuscular, CSIC-UVEG, 46071, Valencia, Spain.
authors.forename: Jose Manuel
authors.initials: JM
authors.lastname: Martí
authors.affiliation: Cavanilles Institute of Biodiversity and Evolutionary Biology (Universitat de València), 46020 Valencia, Spain.|Fundació General de la Universitat de València, Spain.
authors.forename: Manuel
authors.initials: M
authors.lastname: Porcar
mesh_terms: D001419:Bacteria / Q000254:growth & development*; D059013:Microbial Consortia / Q000502:physiology*; D008954:Models, Biological