TY - JOUR A1 - Berghoff, Bork A. A1 - Konzer, Anne A1 - Mank, Nils N. A1 - Looso, Mario A1 - Rische, Tom A1 - Förstner, Konrad U. A1 - Krüger, Marcus A1 - Klug, Gabriele T1 - Integrative "Omics"-Approach Discovers Dynamic and Regulatory Features of Bacterial Stress Responses JF - PLOS Genetics N2 - Bacteria constantly face stress conditions and therefore mount specific responses to ensure adaptation and survival. Stress responses were believed to be predominantly regulated at the transcriptional level. In the phototrophic bacterium Rhodobacter sphaeroides the response to singlet oxygen is initiated by alternative sigma factors. Further adaptive mechanisms include post-transcriptional and post-translational events, which have to be considered to gain a deeper understanding of how sophisticated regulation networks operate. To address this issue, we integrated three layers of regulation: (1) total mRNA levels at different time-points revealed dynamics of the transcriptome, (2) mRNAs in polysome fractions reported on translational regulation (translatome), and (3) SILAC-based mass spectrometry was used to quantify protein abundances (proteome). The singlet oxygen stress response exhibited highly dynamic features regarding short-term effects and late adaptation, which could in part be assigned to the sigma factors RpoE and RpoH2 generating distinct expression kinetics of corresponding regulons. The occurrence of polar expression patterns of genes within stress-inducible operons pointed to an alternative of dynamic fine-tuning upon stress. In addition to transcriptional activation, we observed significant induction of genes at the post-transcriptional level (translatome), which identified new putative regulators and assigned genes of quorum sensing to the singlet oxygen stress response. Intriguingly, the SILAC approach explored the stress-dependent decline of photosynthetic proteins, but also identified 19 new open reading frames, which were partly validated by RNA-seq. We propose that comparative approaches as presented here will help to create multi-layered expression maps on the system level ("expressome"). Finally, intense mass spectrometry combined with RNA-seq might be the future tool of choice to re-annotate genomes in various organisms and will help to understand how they adapt to alternating conditions. KW - singlet oxygen stress KW - genome-wide analysis KW - anti-sigma factor KW - rhodobacter sphaeroides KW - gene expression KW - quanititative proteomics KW - photooxidative stress KW - in-vivo KW - photosynthesis genes KW - mass spectrometry Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-127587 SN - 1553-7404 VL - 9 IS - 6 ER - 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 -