TY - JOUR A1 - Floren, Andreas A1 - Krüger, Dirk A1 - Müller, Tobias A1 - Dittrich, Marcus A1 - Rudloff, Renate A1 - Hoppe, Björn A1 - Linsenmair, Karl Eduard T1 - Diversity and interactions of wood-inhabiting fungi and beetles after deadwood enrichment JF - PLoS ONE N2 - Freshly cut beech deadwood was enriched in the canopy and on the ground in three cultural landscapes in Germany (Swabian Alb, Hainich-Dun, Schorfheide-Chorin) in order to analyse the diversity, distribution and interaction of wood-inhabiting fungi and beetles. After two years of wood decay 83 MOTUs (Molecular Operational Taxonomic Units) from 28 wood samples were identified. Flight Interception Traps (FITs) installed adjacent to the deadwood enrichments captured 29.465 beetles which were sorted to 566 species. Geographical 'region' was the main factor determining both beetle and fungal assemblages. The proportions of species occurring in all regions were low. Statistic models suggest that assemblages of both taxa differed between stratum and management praxis but their strength varied among regions. Fungal assemblages in Hainich-Dun, for which the data was most comprehensive, discriminated unmanaged from extensively managed and age-class forests (even-aged timber management) while canopy communities differed not from those near the ground. In contrast, the beetle assemblages at the same sites showed the opposite pattern. We pursued an approach in the search for fungus-beetle associations by computing cross correlations and visualize significant links in a network graph. These correlations can be used to formulate hypotheses on mutualistic relationships for example in respect to beetles acting as vectors of fungal spores. KW - european beech forests KW - bark beetles KW - management KW - decay KW - ecology KW - norway spruce KW - substrate quality KW - communities KW - rare Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-145129 VL - 10 IS - 11 ER - TY - JOUR A1 - Remmele, Christian W. A1 - Luther, Christian H. A1 - Balkenhol, Johannes A1 - Dandekar, Thomas A1 - Müller, Tobias A1 - Dittrich, Marcus T. T1 - Integrated inference and evaluation of host-fungi interaction networks JF - Frontiers in Microbiology N2 - Fungal microorganisms frequently lead to life-threatening infections. Within this group of pathogens, the commensal Candida albicans and the filamentous fungus Aspergillus fumigatus are by far the most important causes of invasive mycoses in Europe. A key capability for host invasion and immune response evasion are specific molecular interactions between the fungal pathogen and its human host. Experimentally validated knowledge about these crucial interactions is rare in literature and even specialized host pathogen databases mainly focus on bacterial and viral interactions whereas information on fungi is still sparse. To establish large-scale host fungi interaction networks on a systems biology scale, we develop an extended inference approach based on protein orthology and data on gene functions. Using human and yeast intraspecies networks as template, we derive a large network of pathogen host interactions (PHI). Rigorous filtering and refinement steps based on cellular localization and pathogenicity information of predicted interactors yield a primary scaffold of fungi human and fungi mouse interaction networks. Specific enrichment of known pathogenicity-relevant genes indicates the biological relevance of the predicted PHI. A detailed inspection of functionally relevant subnetworks reveals novel host fungal interaction candidates such as the Candida virulence factor PLB1 and the anti-fungal host protein APP. Our results demonstrate the applicability of interolog-based prediction methods for host fungi interactions and underline the importance of filtering and refinement steps to attain biologically more relevant interactions. This integrated network framework can serve as a basis for future analyses of high-throughput host fungi transcriptome and proteome data. KW - candida genome database KW - computational prediction KW - potential role KW - network inference KW - bioinformatics and computational biology KW - protein interaction database KW - Aspergillus fumigatus KW - cell wall KW - functional modules KW - alzheimers disease KW - molecular cloning KW - Candida albicans KW - pathogen-host interaction (PHI) KW - protein-protein interaction KW - pathogenicity KW - interolog Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-148278 VL - 6 IS - 764 ER - TY - JOUR A1 - Appel, Mirjam A1 - Scholz, Claus-Jürgen A1 - Müller, Tobias A1 - Dittrich, Marcus A1 - König, Christian A1 - Bockstaller, Marie A1 - Oguz, Tuba A1 - Khalili, Afshin A1 - Antwi-Adjei, Emmanuel A1 - Schauer, Tamas A1 - Margulies, Carla A1 - Tanimoto, Hiromu A1 - Yarali, Ayse T1 - Genome-Wide Association Analyses Point to Candidate Genes for Electric Shock Avoidance in Drosophila melanogaster JF - PLoS ONE N2 - Electric shock is a common stimulus for nociception-research and the most widely used reinforcement in aversive associative learning experiments. Yet, nothing is known about the mechanisms it recruits at the periphery. To help fill this gap, we undertook a genome-wide association analysis using 38 inbred Drosophila melanogaster strains, which avoided shock to varying extents. We identified 514 genes whose expression levels and/or sequences covaried with shock avoidance scores. We independently scrutinized 14 of these genes using mutants, validating the effect of 7 of them on shock avoidance. This emphasizes the value of our candidate gene list as a guide for follow-up research. In addition, by integrating our association results with external protein-protein interaction data we obtained a shock avoidance- associated network of 38 genes. Both this network and the original candidate list contained a substantial number of genes that affect mechanosensory bristles, which are hairlike organs distributed across the fly's body. These results may point to a potential role for mechanosensory bristles in shock sensation. Thus, we not only provide a first list of candidate genes for shock avoidance, but also point to an interesting new hypothesis on nociceptive mechanisms. KW - functional analysis KW - disruption project KW - natural variation KW - complex traits KW - networks KW - behavior KW - flies KW - temperature KW - genetics KW - painful Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-152006 VL - 10 IS - 5 ER -