TY - JOUR A1 - Michaux, Charlotte A1 - Hansen, Elisabeth E. A1 - Jenniches, Laura A1 - Gerovac, Milan A1 - Barquist, Lars A1 - Vogel, Jörg T1 - Single-Nucleotide RNA Maps for the Two Major Nosocomial Pathogens Enterococcus faecalis and Enterococcus faecium JF - Frontiers in Cellular and Infection Microbiology N2 - Enterococcus faecalis and faecium are two major representative clinical strains of the Enterococcus genus and are sadly notorious to be part of the top agents responsible for nosocomial infections. Despite their critical implication in worldwide public healthcare, essential and available resources such as deep transcriptome annotations remain poor, which also limits our understanding of post-transcriptional control small regulatory RNA (sRNA) functions in these bacteria. Here, using the dRNA-seq technique in combination with ANNOgesic analysis, we successfully mapped and annotated transcription start sites (TSS) of both E. faecalis V583 and E. faecium AUS0004 at single nucleotide resolution. Analyzing bacteria in late exponential phase, we capture ~40% (E. faecalis) and 43% (E. faecium) of the annotated protein-coding genes, determine 5′ and 3′ UTR (untranslated region) length, and detect instances of leaderless mRNAs. The transcriptome maps revealed sRNA candidates in both bacteria, some found in previous studies and new ones. Expression of candidate sRNAs is being confirmed under biologically relevant environmental conditions. This comprehensive global TSS mapping atlas provides a valuable resource for RNA biology and gene expression analysis in the Enterococci. It can be accessed online at www.helmholtz-hiri.de/en/datasets/enterococcus through an instance of the genomic viewer JBrowse. KW - transcription start sites KW - RNA-seq KW - sRNA atlas KW - Gram-positive bacteria KW - post-transcriptional regulation Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-217947 SN - 2235-2988 VL - 10 ER - TY - JOUR A1 - Gorski, Stanislaw A. A1 - Vogel, Jörg A1 - Saliba, Antoine-Emmanuel A1 - Westermann, Alexander J. T1 - Single-cell RNA-seq: advances and future challenges N2 - Phenotypically identical cells can dramatically vary with respect to behavior during their lifespan and this variation is reflected in their molecular composition such as the transcriptomic landscape. Singlecell transcriptomics using next-generation transcript sequencing (RNA-seq) is now emerging as a powerful tool to profile cell-to-cell variability on a genomic scale. Its application has already greatly impacted our conceptual understanding of diverse biological processes with broad implications for both basic and clinical research. Different single-cell RNAseq protocols have been introduced and are reviewed here – each one with its own strengths and current limitations. We further provide an overview of the biological questions single-cell RNA-seq has been used to address, the major findings obtained from such studies, and current challenges and expected future developments in this booming field. KW - RNS Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-110993 ER - TY - JOUR A1 - Westermann, Alexander J. A1 - Barquist, Lars A1 - Vogel, Jörg T1 - Resolving host-pathogen interactions by dual RNA-seq JF - PLoS Pathogens N2 - The transcriptome is a powerful proxy for the physiological state of a cell, healthy or diseased. As a result, transcriptome analysis has become a key tool in understanding the molecular changes that accompany bacterial infections of eukaryotic cells. Until recently, such transcriptomic studies have been technically limited to analyzing mRNA expression changes in either the bacterial pathogen or the infected eukaryotic host cell. However, the increasing sensitivity of high-throughput RNA sequencing now enables “dual RNA-seq” studies, simultaneously capturing all classes of coding and noncoding transcripts in both the pathogen and the host. In the five years since the concept of dual RNA-seq was introduced, the technique has been applied to a range of infection models. This has not only led to a better understanding of the physiological changes in pathogen and host during the course of an infection but has also revealed hidden molecular phenotypes of virulence-associated small noncoding RNAs that were not visible in standard infection assays. Here, we use the knowledge gained from these recent studies to suggest experimental and computational guidelines for the design of future dual RNA-seq studies. We conclude this review by discussing prospective applications of the technique. KW - Medicine KW - RNA sequencing KW - Salmonellosis KW - Transcriptome analysis KW - Gene expression KW - Bacterial pathogens KW - Salmonella KW - Host cells KW - Lysis (medicine) Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-171921 VL - 13 IS - 2 ER - TY - JOUR A1 - Dimastrogiovanni, Daniela A1 - Fröhlich, Kathrin S. A1 - Bandyra, Katarzyna J. A1 - Bruce, Heather A. A1 - Hohensee, Susann A1 - Vogel, Jörg A1 - Luisi, Ben F. T1 - Recognition of the small regulatory RNA RydC by the bacterial Hfq protein JF - eLife N2 - Bacterial small RNAs (sRNAs) are key elements of regulatory networks that modulate gene expression. The sRNA RydC of Salmonella sp. and Escherichia coli is an example of this class of riboregulators. Like many other sRNAs, RydC bears a 'seed' region that recognises specific transcripts through base-pairing, and its activities are facilitated by the RNA chaperone Hfq. The crystal structure of RydC in complex with E. coli Hfq at 3.48 angstrom resolution illuminates how the protein interacts with and presents the sRNA for target recognition. Consolidating the protein-RNA complex is a host of distributed interactions mediated by the natively unstructured termini of Hfq. Based on the structure and other data, we propose a model for a dynamic effector complex comprising Hfq, small RNA, and the cognate mRNA target. KW - Hfq KW - small RNA KW - natively unstructured protein KW - protein-RNA recognition KW - gene regulation KW - Escherichia coli-Hfq KW - SM-like protein KW - messenger-RNA KW - chaperone Hfq KW - target recognition KW - noncoding RNAs KW - interaction surfaces KW - crystal-structures KW - soluble-RNAs KW - C-Terminus Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-114191 SN - 2050-084X VL - 3 IS - e05375 ER - TY - JOUR A1 - Müller, Jörg A1 - Ulyshen, Mike A1 - Seibold, Sebastian A1 - Cadotte, Marc A1 - Chao, Anne A1 - Bässler, Claus A1 - Vogel, Sebastian A1 - Hagge, Jonas A1 - Weiß, Ingmar A1 - Baldrian, Petr A1 - Tláskal, Vojtěch A1 - Thorn, Simon T1 - Primary determinants of communities in deadwood vary among taxa but are regionally consistent JF - Oikos N2 - The evolutionary split between gymnosperms and angiosperms has far‐reaching implications for the current communities colonizing trees. The inherent characteristics of dead wood include its role as a spatially scattered habitat of plant tissue, transient in time. Thus, local assemblages in deadwood forming a food web in a necrobiome should be affected not only by dispersal ability but also by host tree identity, the decay stage and local abiotic conditions. However, experiments simultaneously manipulating these potential community drivers in deadwood are lacking. To disentangle the importance of spatial distance and microclimate, as well as host identity and decay stage as drivers of local assemblages, we conducted two consecutive experiments, a 2‐tree species and 6‐tree species experiment with 80 and 72 tree logs, respectively, located in canopy openings and under closed canopies of a montane and a lowland forest. We sampled saproxylic beetles, spiders, fungi and bacterial assemblages from logs. Variation partitioning for community metrics based on a unified framework of Hill numbers showed consistent results for both studies: host identity was most important for sporocarp‐detected fungal assemblages, decay stage and host tree for DNA‐detected fungal assemblages, microclimate and decay stage for beetles and spiders and decay stage for bacteria. Spatial distance was of minor importance for most taxa but showed the strongest effects for arthropods. The contrasting patterns among the taxa highlight the need for multi‐taxon analyses in identifying the importance of abiotic and biotic drivers of community composition. Moreover, the consistent finding of microclimate as the primary driver for saproxylic beetles compared to host identity shows, for the first time that existing evolutionary host adaptions can be outcompeted by local climate conditions in deadwood. KW - deadwood experiments KW - dispersal KW - forest management KW - habitat filter KW - wood-inhabiting fungi Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-228201 VL - 129 IS - 10 SP - 1579 EP - 1588 ER - TY - JOUR A1 - Vogel, Sebastian A1 - Gossner, Martin M. A1 - Mergner, Ulrich A1 - Müller, Jörg A1 - Thorn, Simon T1 - Optimizing enrichment of deadwood for biodiversity by varying sun exposure and tree species: An experimental approach JF - Journal of Applied Ecology N2 - The enrichment of deadwood is essential for the conservation of saproxylic biodiversity in managed forests. However, existing strategies focus on a cost‐intensive increase of deadwood amount, while largely neglecting increasing deadwood diversity. Deadwood objects, that is logs and branches, from six tree species were experimentally sun exposed, canopy shaded and artificially shaded for 4 years, after which the alpha‐, beta‐ and gamma‐diversity of saproxylic beetles, wood‐inhabiting fungi and spiders were analysed. Analyses of beta‐diversity included the spatial distance between exposed deadwood objects. A random‐drawing procedure was used to identify the combination of tree species and sun exposure that yielded the highest gamma‐diversity at a minimum of exposed deadwood amount. In sun‐exposed plots, species numbers in logs were higher than in shaded plots for all taxa, while in branches we observed the opposite for saproxylic beetles. Tree species affected the species numbers only of saproxylic beetles and wood‐inhabiting fungi. The beta‐diversity of saproxylic beetles and wood‐inhabiting fungi among logs was influenced by sun exposure and tree species, but beta‐diversity of spiders by sun exposure only. For all saproxylic taxa recorded in logs, differences between communities increased with increasing spatial distance. A combination of canopy‐shaded Carpinus logs and sun‐exposed Populus logs resulted in the highest species numbers of all investigated saproxylic taxa among all possible combinations of tree species and sun‐exposure treatments. Synthesis and applications. We recommend incorporating the enrichment of different tree species and particularly the variation in sun exposure into existing strategies of deadwood enrichment. Based on the results of our study, we suggest to combine the logs of softwood broadleaf tree species (e.g. Carpinus, Populus), hardwood broadleaf tree species (e.g. Quercus) and coniferous tree species (e.g. Pinus) under different conditions of sun exposure and distribute them spatially in a landscape to maximize the beneficial effects on overall diversity. KW - broadleaf tree species KW - deadwood enrichment KW - forest conservation KW - forest management KW - saproxylic beetles KW - spiders KW - sun exposure KW - wood‐inhabiting fungi Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-214614 VL - 57 IS - 10 SP - 2075 EP - 2085 ER - TY - JOUR A1 - Keller, Andreas A1 - Leidinger, Petra A1 - Vogel, Britta A1 - Backes, Christina A1 - ElSharawy, Abdou A1 - Galata, Valentina A1 - Mueller, Sabine C. A1 - Marquart, Sabine A1 - Schrauder, Michael G. A1 - Strick, Reiner A1 - Bauer, Andrea A1 - Wischhusen, Jörg A1 - Beier, Markus A1 - Kohlhaas, Jochen A1 - Katus, Hugo A. A1 - Hoheisel, Jörg A1 - Franke, Andre A1 - Meder, Benjamin A1 - Meese, Eckart T1 - miRNAs can be generally associated with human pathologies as exemplified for miR-144* JF - BMC MEDICINE N2 - Background: miRNA profiles are promising biomarker candidates for a manifold of human pathologies, opening new avenues for diagnosis and prognosis. Beyond studies that describe miRNAs frequently as markers for specific traits, we asked whether a general pattern for miRNAs across many diseases exists. Methods: We evaluated genome-wide circulating profiles of 1,049 patients suffering from 19 different cancer and non-cancer diseases as well as unaffected controls. The results were validated on 319 individuals using qRT-PCR. Results: We discovered 34 miRNAs with strong disease association. Among those, we found substantially decreased levels of hsa-miR-144* and hsa-miR-20b with AUC of 0.751 ( 95% CI: 0.703-0.799), respectively. We also discovered a set of miRNAs, including hsa-miR-155*, as rather stable markers, offering reasonable control miRNAs for future studies. The strong downregulation of hsa-miR-144* and the less variable pattern of hsa-miR-155* has been validated in a cohort of 319 samples in three different centers. Here, breast cancer as an additional disease phenotype not included in the screening phase has been included as the 20th trait. Conclusions: Our study on 1,368 patients including 1,049 genome-wide miRNA profiles and 319 qRT-PCR validations further underscores the high potential of specific blood-borne miRNA patterns as molecular biomarkers. Importantly, we highlight 34 miRNAs that are generally dysregulated in human pathologies. Although these markers are not specific to certain diseases they may add to the diagnosis in combination with other markers, building a specific signature. Besides these dysregulated miRNAs, we propose a set of constant miRNAs that may be used as control markers. KW - peripheral blood KW - microna profiles KW - disease KW - signature KW - expression KW - miRNA KW - microarray KW - biomarker KW - bioinformatics KW - lung-cancer KW - multiple sclerosis KW - gene KW - serum Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-114349 SN - 1741-7015 VL - 12 ER - TY - JOUR A1 - Correia Santos, Sara A1 - Bischler, Thorsten A1 - Westermann, Alexander J. A1 - Vogel, Jörg T1 - MAPS integrates regulation of actin-targeting effector SteC into the virulence control network of Salmonella small RNA PinT JF - Cell Reports N2 - A full understanding of the contribution of small RNAs (sRNAs) to bacterial virulence demands knowledge of their target suites under infection-relevant conditions. Here, we take an integrative approach to capturing targets of the Hfq-associated sRNA PinT, a known post-transcriptional timer of the two major virulence programs of Salmonella enterica. Using MS2 affinity purification and RNA sequencing (MAPS), we identify PinT ligands in bacteria under in vitro conditions mimicking specific stages of the infection cycle and in bacteria growing inside macrophages. This reveals PinT-mediated translational inhibition of the secreted effector kinase SteC, which had gone unnoticed in previous target searches. Using genetic, biochemical, and microscopic assays, we provide evidence for PinT-mediated repression of steC mRNA, eventually delaying actin rearrangements in infected host cells. Our findings support the role of PinT as a central post-transcriptional regulator in Salmonella virulence and illustrate the need for complementary methods to reveal the full target suites of sRNAs. KW - gene expression KW - nondocing RNA KW - chaperone HFQ KW - soluble-RNA KW - SEQ KW - interactome KW - repression KW - secretion KW - infection KW - biology Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-259134 VL - 34 IS - 5 ER - TY - JOUR A1 - El Mouali, Youssef A1 - Gerovac, Milan A1 - Mineikaitė, Raminta A1 - Vogel, Jörg T1 - In vivo targets of Salmonella FinO include a FinP-like small RNA controlling copy number of a cohabitating plasmid JF - Nucleic Acids Research N2 - FinO-domain proteins represent an emerging family of RNA-binding proteins (RBPs) with diverse roles in bacterial post-transcriptional control and physiology. They exhibit an intriguing targeting spectrum, ranging from an assumed single RNA pair (FinP/traJ) for the plasmid-encoded FinO protein, to transcriptome-wide activity as documented for chromosomally encoded ProQ proteins. Thus, the shared FinO domain might bear an unusual plasticity enabling it to act either selectively or promiscuously on the same cellular RNA pool. One caveat to this model is that the full suite of in vivo targets of the assumedly highly selective FinO protein is unknown. Here, we have extensively profiled cellular transcripts associated with the virulence plasmid-encoded FinO in Salmonella enterica. While our analysis confirms the FinP sRNA of plasmid pSLT as the primary FinO target, we identify a second major ligand: the RepX sRNA of the unrelated antibiotic resistance plasmid pRSF1010. FinP and RepX are strikingly similar in length and structure, but not in primary sequence, and so may provide clues to understanding the high selectivity of FinO-RNA interactions. Moreover, we observe that the FinO RBP encoded on the Salmonella virulence plasmid controls the replication of a cohabitating antibiotic resistance plasmid, suggesting cross-regulation of plasmids on the RNA level. KW - antisense RNA KW - Escherichia coli KW - chromosomal genes KW - protein KW - chaperone KW - virulence KW - family KW - HFQ KW - specificity KW - inhibition Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-261072 VL - 49 IS - 9 ER - TY - JOUR A1 - Homberger, Christina A1 - Hayward, Regan J. A1 - Barquist, Lars A1 - Vogel, Jörg T1 - Improved bacterial single-cell RNA-seq through automated MATQ-seq and Cas9-based removal of rRNA reads JF - mBio N2 - Bulk RNA sequencing technologies have provided invaluable insights into host and bacterial gene expression and associated regulatory networks. Nevertheless, the majority of these approaches report average expression across cell populations, hiding the true underlying expression patterns that are often heterogeneous in nature. Due to technical advances, single-cell transcriptomics in bacteria has recently become reality, allowing exploration of these heterogeneous populations, which are often the result of environmental changes and stressors. In this work, we have improved our previously published bacterial single-cell RNA sequencing (scRNA-seq) protocol that is based on multiple annealing and deoxycytidine (dC) tailing-based quantitative scRNA-seq (MATQ-seq), achieving a higher throughput through the integration of automation. We also selected a more efficient reverse transcriptase, which led to reduced cell loss and higher workflow robustness. Moreover, we successfully implemented a Cas9-based rRNA depletion protocol into the MATQ-seq workflow. Applying our improved protocol on a large set of single Salmonella cells sampled over different growth conditions revealed improved gene coverage and a higher gene detection limit compared to our original protocol and allowed us to detect the expression of small regulatory RNAs, such as GcvB or CsrB at a single-cell level. In addition, we confirmed previously described phenotypic heterogeneity in Salmonella in regard to expression of pathogenicity-associated genes. Overall, the low percentage of cell loss and high gene detection limit makes the improved MATQ-seq protocol particularly well suited for studies with limited input material, such as analysis of small bacterial populations in host niches or intracellular bacteria. IMPORTANCE: Gene expression heterogeneity among isogenic bacteria is linked to clinically relevant scenarios, like biofilm formation and antibiotic tolerance. The recent development of bacterial single-cell RNA sequencing (scRNA-seq) enables the study of cell-to-cell variability in bacterial populations and the mechanisms underlying these phenomena. Here, we report a scRNA-seq workflow based on MATQ-seq with increased robustness, reduced cell loss, and improved transcript capture rate and gene coverage. Use of a more efficient reverse transcriptase and the integration of an rRNA depletion step, which can be adapted to other bacterial single-cell workflows, was instrumental for these improvements. Applying the protocol to the foodborne pathogen Salmonella, we confirmed transcriptional heterogeneity across and within different growth phases and demonstrated that our workflow captures small regulatory RNAs at a single-cell level. Due to low cell loss and high transcript capture rates, this protocol is uniquely suited for experimental settings in which the starting material is limited, such as infected tissues. KW - MATQ-seq KW - single-cell RNA-seq KW - Salmonella enterica KW - rRNA depletion KW - gene expression heterogeneity KW - DASH KW - Cas9 Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-350059 VL - 14 IS - 2 ER -