15 research outputs found

    Detection of very long antisense transcripts by whole transcriptome RNA-Seq analysis of Listeria monocytogenes by semiconductor sequencing technology

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    The Gram-positive bacterium Listeria monocytogenes is the causative agent of listeriosis, a severe food-borne infection characterised by abortion, septicaemia, or meningoencephalitis. L. monocytogenes causes outbreaks of febrile gastroenteritis and accounts for community-acquired bacterial meningitis in humans. Listeriosis has one of the highest mortality rates (up to 30%) of all food-borne infections. This human pathogenic bacterium is an important model organism for biomedical research to investigate cell-mediated immunity. L. monocytogenes is also one of the best characterised bacterial systems for the molecular analysis of intracellular parasitism. Recently several transcriptomic studies have also made the ubiquitous distributed bacterium as a model to understand mechanisms of gene regulation from the environment to the infected host on the level of mRNA and non-coding RNAs (ncRNAs). We have used semiconductor sequencing technology for RNA-seq to investigate the repertoire of listerial ncRNAs under extra- and intracellular growth conditions. Furthermore, we applied a new bioinformatic analysis pipeline for detection, comparative genomics and structural conservation to identify ncRNAs. With this work, in total, 741 ncRNA locations of potential ncRNA candidates are now known for L. monocytogenes, of which 611 ncRNA candidates were identified by RNA-seq. 441 transcribed ncRNAs have never been described before. Among these, we identified novel long non-coding antisense RNAs with a length of up to 5,400 nt e.g. opposite to genes coding for internalins, methylases or a high-affinity potassium uptake system, namely the kdpABC operon, which were confirmed by qRT-PCR analysis. RNA-seq, comparative genomics and structural conservation of L. monocytogenes ncRNAs illustrate that this human pathogen uses a large number and repertoire of ncRNA including novel long antisense RNAs, which could be important for intracellular survival within the infected eukaryotic host

    Rifampicin restores extracellular organic matrix formation and mineralization of osteoblasts after intracellular Staphylococcus aureus infection

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    Aims Bone regeneration during treatment of staphylococcal bone infection is challenging due to the ability of Staphylococcus aureus to invade and persist within osteoblasts. Here, we sought to determine whether the metabolic and extracellular organic matrix formation and mineralization ability of S. aureus-infected human osteoblasts can be restored after rifampicin (RMP) therapy. Methods The human osteoblast-like Saos-2 cells infected with S. aureus EDCC 5055 strain and treated with 8 µg/ml RMP underwent osteogenic stimulation for up to 21 days. Test groups were Saos-2 cells + S. aureus and Saos-2 cells + S. aureus + 8 µg/ml RMP, and control groups were uninfected untreated Saos-2 cells and uninfected Saos-2 cells + 8 µg/ml RMP. Results The S. aureus-infected osteoblasts showed a significant number of intracellular bacteria colonies and an unusual higher metabolic activity (p < 0.005) compared to uninfected osteoblasts. Treatment with 8 µg/ml RMP significantly eradicated intracellular bacteria and the metabolic activity was comparable to uninfected groups. The RMP-treated infected osteoblasts revealed a significantly reduced amount of mineralized extracellular matrix (ECM) at seven days osteogenesis relative to uninfected untreated osteoblasts (p = 0.007). Prolonged osteogenesis and RMP treatment at 21 days significantly improved the ECM mineralization level. Ultrastructural images of the mineralized RMP-treated infected osteoblasts revealed viable osteoblasts and densely distributed calcium crystal deposits within the extracellular organic matrix. The expression levels of prominent bone formation genes were comparable to the RMP-treated uninfected osteoblasts. Conclusion Intracellular S. aureus infection impaired osteoblast metabolism and function. However, treatment with low dosage of RMP eradicated the intracellular S. aureus, enabling extracellular organic matrix formation and mineralization of osteoblasts at later stage

    Galleria mellonella as an alternative in vivo model to study bacterial biofilms on stainless steel and titanium implants

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    The purpose of this study was to establish an infection model of Galleria mellonella larvae as an alternative in vivo model for biofilm-associated infections on stainless steel and titanium implants. First, the model was established with bacteria-free implants to evaluate the biocompatibility of implants in the larvae. Titanium or stainless steel implants were implanted without any adverse effects over the entire observation period of 5 days compared to controls. Then, stainless steel and titanium implants pre-incubated with Staphylococcus aureus were implanted into the larvae to mimic biofilm-associated infection. For both materials, pre-incubation of the implant with S. aureus led to significantly reduced survival of the larvae compared to bacteria-free implants. Survival rates of the larvae could not be improved in this biofilm infection situation by the addition of gentamicin, whereas gentamicin could significantly improve the survival of the larvae in case of planktonic infection of the larvae with S. aureus without an implant, confirming the typical characteristics of reduced antibiotic susceptibility of biofilm infections. Additionally, biofilm formation and various stages of biofilm maturation were confirmed by surface electron microscopy and by measuring gene expression of biofilm-related genes with the pre-incubated implant, which showed strong biofilm formation and upregulation of autolysin (atl) and sarA genes. In conclusion, G. mellonella can be used as an alternative in vivo model to study biofilm-associated infections on stainless steel and titanium implants, which may help to reduce animal infection experiments with vertebrates in the future

    Galleria mellonella as an alternative in vivo model to study implant-associated fungal infections

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    Fungal implant-associated bone infections are rare but difficult to treat and often associated with a poor outcome for patients. Candida species account for approximately 90% of all fungal infections. In vivo biofilm models play a major role to study biofilm development and potential new treatment options; however, there are only a very few in vivo models to study fungi-associated biofilms. Furthermore, mammalian infection models are replaced more and more due to ethical restrictions with other alternative models in basic research. Recently, we developed an insect infection model with Galleria mellonella larvae to study biofilm-associated infections with bacteria. Here, we further expanded the G. mellonella model to study in vivo fungal infections using Candida albicans and Candida krusei. We established a planktonic and biofilm-implant model to test different antifungal medication with amphotericin B, fluconazole, and voriconazole against the two species and assessed the fungal biofilm-load on the implant surface. Planktonic infection with C. albicans and C. krusei showed the killing of the G. mellonella larvae at 5 × 105 colony forming units (CFU). Treatment of larvae with antifungal compounds with amphotericin B and fluconazole showed significant survival improvement against planktonic C. albicans infection, but voriconazole had no effect. Titanium and stainless steel K-wires were preincubated with C. albicans and implanted inside the larvae to induce biofilm infection on the implant surface. The survival analysis revealed significantly reduced survival of the larvae with Candida spp. infection compared to noninfected implants. The treatment with antifungal amphotericin B and fluconazole resulted in a slight and nonsignificant improvement survival of the larvae. The treatment with the antifungal compounds in the biofilm-infection model was not as effective as in the planktonic infection model, which highlights the resistance of fungal biofilms to antifungal compounds like in bacterial biofilms. Scanning electron microscopy (SEM) analysis revealed the formation of a fungal biofilm with hyphae and spores associated with larvae tissue on the implant surface. Thus, our study highlights the use of G. mellonella larvae as alternative in vivo model to study biofilm-associated implant fungal infections and that fungal biofilms exhibit high resistance profiles comparable to bacterial biofilms. The model can be used in the future to test antifungal treatment options for fungal biofilm infections

    Transcription of selected long asRNAs (lasRNAs):

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    <p>(A) Internalin protein; (B) Internalin protein (note the different scales of x-axis); (C) a novel long antisense transcript with more than 2,400–3,800 nt; (D) predicted SAM-dependent methyltransferase; (E) a rRNA methylase homolog; (F) similar to a methylated DNA protein cystein methyltransferase (note the different scales of x-axis). The upper half of each transcription profile represents the plus strand and the lower one the minus strand. Number of displayed reads is limited to 20. Dark purple – detected ncRNA candidates; lightgreen – NCBI annotation; darkgreen – BacProt annotation; black – reads of the extracellular library; dark blue – reads of the intracellular library; violet – locally stable secondary structure (analyzed with RNALfold); blue – conserved region among other <i>L. monocytogenes</i> serotypes (analyzed with POMAGO); cyan blue – potential new ncRNAs predicted by RNAz; pink – annotated ncRNAs. A better resolution of the figure can be found in the supplement.</p

    Comparative analysis of ncRNA transcriptome data:

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    <p>Comparison of our ncRNA candidates with results of previous studies performed by Toledo-Arana <i>et al.</i><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0108639#pone.0108639-ToledoArana1" target="_blank">[13]</a>, Mraheil <i>et al.</i><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0108639#pone.0108639-Mraheil1" target="_blank">[11]</a> and Wurtzel <i>et al.</i><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0108639#pone.0108639-Wurtzel1" target="_blank">[15]</a>. Note that whenever an ncRNA prediction of this study overlaps with multiple previously described candidates, it is a single hit in the diagram. Altogether, including previous literature, Rfam and this work, now 741 putative ncRNAs are described. In this work we defined 611 to be putative ncRNAs, of which 474 ncRNAs are not part of previous literature, 33 of them known ncRNAs from Rfam.</p

    Overview of RNA-seq libraries.

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    <p>Libraries were retrieved by next generation semiconductor sequencing technology. Number of reads before and after clipping and their mean length.</p><p>Overview of RNA-seq libraries.</p
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