Dresden 2017 – wissenschaftliches Programm
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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 17: Networks: From Topology to Dynamics (joint session DY/ BP/SOE)
SOE 17.4: Vortrag
Donnerstag, 23. März 2017, 15:45–16:00, ZEU 147
Boolean network analysis reveals interaction networks among low-abundance species in the human gut microbiome — •Jens Christian Claussen1, Jurgita Skieceviciene2, Jun Wang3, Philipp Rausch6,5, Tom H. Karlsen4, Wolfgang Lieb5, John F. Baines5,6, Andre Franke5, and Marc-Thorsten Hütt3 — 1Computational Systems Biology, Jacobs University Bremen — 2U Kaunas — 3KU Leuven — 4U Oslo — 5UKSH, U Kiel — 6MPI Plön
Microbiome compositions in clinical context gained recent interest. Most analyses infer interactions among highly abundant species. The large number of low-abundance species has received less attention. Here we present a novel analysis method based on Boolean operations applied to microbial co-occurrence patterns. We calibrate our approach with simulated data based on a dynamical Boolean network model from which we interpret the statistics of attractor states as a theoretical proxy for microbiome composition. We show that for given fractions of synergistic and competitive interactions in the model our Boolean abundance analysis can reliably detect these interactions. In our human gut microbiome dataset, we find a large number of highly significant synergistic interactions among these low-abundance species, forming a connected network, and a few isolated competitive interactions.