TY - JOUR A1 - Doublet, V. A1 - Poeschl, Y. A1 - Gogol-Döring, A. A1 - Alaux, C. A1 - Annoscia, D. A1 - Aurori, C. A1 - Barribeau, S. M. A1 - Bedoya-Reina, O. C. A1 - Brown, M. J. F. A1 - Bull, J. C. A1 - Flenniken, M. L. A1 - Galbraith, D. A. A1 - Genersch, E. A1 - Gisder, S. A1 - Grosse, I. A1 - Holt, H. L. A1 - Hultmark, D. A1 - Lattorff, H. M. G. A1 - Le Conte, Y. A1 - Manfredini, F. A1 - McMahon, Dino Peter A1 - Moritz, R. F. A. A1 - Nazzi, F. A1 - Niño, E. L. A1 - Nowick, K. A1 - Van Rij, R. P. A1 - Paxton, R. J. A1 - Grozinger, C. M. T1 - Unity in defence: honeybee workers exhibit conserved molecular responses to diverse pathogens JF - BMC Genomics N2 - Background: Organisms typically face infection by diverse pathogens, and hosts are thought to have developed specific responses to each type of pathogen they encounter. The advent of transcriptomics now makes it possible to test this hypothesis and compare host gene expression responses to multiple pathogens at a genome-wide scale. Here, we performed a meta-analysis of multiple published and new transcriptomes using a newly developed bioinformatics approach that filters genes based on their expression profile across datasets. Thereby, we identified common and unique molecular responses of a model host species, the honey bee (Apis mellifera), to its major pathogens and parasites: the Microsporidia Nosema apis and Nosema ceranae, RNA viruses, and the ectoparasitic mite Varroa destructor, which transmits viruses. Results: We identified a common suite of genes and conserved molecular pathways that respond to all investigated pathogens, a result that suggests a commonality in response mechanisms to diverse pathogens. We found that genes differentially expressed after infection exhibit a higher evolutionary rate than non-differentially expressed genes. Using our new bioinformatics approach, we unveiled additional pathogen-specific responses of honey bees; we found that apoptosis appeared to be an important response following microsporidian infection, while genes from the immune signalling pathways, Toll and Imd, were differentially expressed after Varroa/virus infection. Finally, we applied our bioinformatics approach and generated a gene co-expression network to identify highly connected (hub) genes that may represent important mediators and regulators of anti-pathogen responses. Conclusions: Our meta-analysis generated a comprehensive overview of the host metabolic and other biological processes that mediate interactions between insects and their pathogens. We identified key host genes and pathways that respond to phylogenetically diverse pathogens, representing an important source for future functional studies as well as offering new routes to identify or generate pathogen resilient honey bee stocks. The statistical and bioinformatics approaches that were developed for this study are broadly applicable to synthesize information across transcriptomic datasets. These approaches will likely have utility in addressing a variety of biological questions. KW - Coexpression KW - Apis mellifera KW - Nosema KW - Varroa destructor KW - DWV KW - IAPV KW - RNA virus KW - Meta-analysis KW - Transcriptomics PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-410439 DO - https://doi.org/10.1186/s12864-017-3597-6 SN - 1471-2164 VL - 18 SP - 207 EP - 224 AN - OPUS4-41043 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Schwabe, M. A1 - Griep, S. A1 - Schmidtberg, H. A1 - Plarre, Rüdiger A1 - Goesmann, A. A1 - Vilcinskas, A. A1 - Vogel, H. A1 - Brinkrolf, K. T1 - Next-Generation Sequencing Analysis of the Tineola bisselliella Larval Gut Transcriptome Reveals Candidate Enzymes for Keratin Digestion JF - Genes N2 - The clothes moth Tineola bisselliella is one of a few insects that can digest keratin, leading to the destruction of clothing, textiles and artwork. The mechanism of keratin digestion is not yet fully understood, partly reflecting the lack of publicly available genomic and transcriptomic data. Here we present a high-quality gut transcriptome of T. bisselliella generated from larvae reared on keratin-rich and keratin-free diets. The overall transcriptome consists of 428,221 contigs that were functionally annotated and screened for candidate enzymes involved in keratin utilization. As a mechanism for keratin digestion, we identified cysteine synthases, cystathionine β-synthases and cystathionine γ-lyases. These enzymes release hydrogen sulfite, which may reduce the disulfide bonds in keratin. The dataset also included 27 differentially expressed contigs with trypsin domains, among which 20 were associated with keratin feeding. Finally, we identified seven collagenases that were upregulated on the keratin-rich diet. In addition to this enzymatic repertoire potentially involved in breaking down keratin, our analysis of poly(A)-enriched and poly(A)-depleted transcripts suggested that T. bisselliella larvae possess an unstable intestinal microbiome that may nevertheless contribute to keratin digestion KW - Insect biotechnology KW - Gene expression KW - RNA-Sequencing KW - Transcriptomics KW - Tineola bisselliella KW - Keratin PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-529902 DO - https://doi.org/10.3390/genes12081113 VL - 12 IS - 8 SP - 1113 PB - MDPI AN - OPUS4-52990 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Selbmann, L. A1 - Benkő, Z. A1 - Coleine, C. A1 - de Hoog, S. A1 - Donati, C. A1 - Druzhinina, I. A1 - Emri, T. A1 - Ettinger, C. L. A1 - Gladfelter, A. S. A1 - Gorbushina, Anna A1 - Grigoriev, I. V. A1 - Grube, M. A1 - Gunde-Cimerman, N. A1 - Karányi, Z. A. A1 - Kocsis, B. A1 - Kubressoian, T. A1 - Miklós, I. A1 - Miskei, M. A1 - Muggia, L. A1 - Northen, T. A1 - Novak-Babič, M. A1 - Pennacchio, C. A1 - Pfliegler, W. P. A1 - Pòcsi, I. A1 - Prigione, V. A1 - Riquelme, M. A1 - Segata, N. A1 - Schumacher, Julia A1 - Shelest, E. A1 - Sterflinger, K. A1 - Tesei, D. A1 - U’Ren, J. M. A1 - Varese, G. C. A1 - Vázquez-Campos, X. A1 - Vicente, V. A. A1 - Souza, E. M. A1 - Zalar, P. A1 - Walker, A. K. A1 - Stajich, J. E. T1 - Shed Light in the DaRk LineagES of the Fungal Tree of Life—STRES JF - Life N2 - The polyphyletic group of black fungi within the Ascomycota (Arthoniomycetes, Dothideomycetes, and Eurotiomycetes) is ubiquitous in natural and anthropogenic habitats. Partly because of their dark, melanin-based pigmentation, black fungi are resistant to stresses including UV- and ionizing-radiation, heat and desiccation, toxic metals, and organic pollutants. Consequently, they are amongst the most stunning extremophiles and poly-extreme-tolerant organisms on Earth. Even though ca. 60 black fungal genomes have been sequenced to date, [mostly in the family Herpotrichiellaceae (Eurotiomycetes)], the class Dothideomycetes that hosts the largest majority of extremophiles has only been sparsely sampled. By sequencing up to 92 species that will become reference genomes, the “Shed light in The daRk lineagES of the fungal tree of life” (STRES) project will cover a broad collection of black fungal diversity spread throughout the Fungal Tree of Life. Interestingly, the STRES project will focus on mostly unsampled genera that display different ecologies and life-styles (e.g., ant- and lichen-associated fungi, rock-inhabiting fungi, etc.). With a resequencing strategy of 10- to 15-fold depth coverage of up to ~550 strains, numerous new reference genomes will be established. To identify metabolites and functional processes, these new genomic resources will be enriched with metabolomics analyses coupled with transcriptomics experiments on selected species under various stress conditions (salinity, dryness, UV radiation, oligotrophy). The data acquired will serve as a reference and foundation for establishing an encyclopedic database for fungal metagenomics as well as the biology, evolution, and ecology of the fungi in extreme environments. KW - Adaptation KW - Black fungi KW - Dothideomycetes KW - Eurotiomycetes KW - Extremophiles KW - Genomics KW - Metabolomics KW - Secondary metabolites KW - Stress conditions KW - Transcriptomics PY - 2020 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-519328 DO - https://doi.org/10.3390/life10120362 VL - 10 IS - 12 SP - 362 PB - MDPI CY - Basel AN - OPUS4-51932 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -