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      Of mice, flies – and men? Comparing fungal infection models for large-scale screening efforts

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          ABSTRACT

          Studying infectious diseases requires suitable hosts for experimental in vivo infections. Recent years have seen the advent of many alternatives to murine infection models. However, the use of non-mammalian models is still controversial because it is often unclear how well findings from these systems predict virulence potential in humans or other mammals. Here, we compare the commonly used models, fruit fly and mouse (representing invertebrate and mammalian hosts), for their similarities and degree of correlation upon infection with a library of mutants of an important fungal pathogen, the yeast Candida glabrata. Using two indices, for fly survival time and for mouse fungal burden in specific organs, we show a good agreement between the models. We provide a suitable predictive model for estimating the virulence potential of C. glabrata mutants in the mouse from fly survival data. As examples, we found cell wall integrity mutants attenuated in flies, and mutants of a MAP kinase pathway had defective virulence in flies and reduced relative pathogen fitness in mice. In addition, mutants with strongly reduced in vitro growth generally, but not always, had reduced virulence in flies. Overall, we demonstrate that surveying Drosophila survival after infection is a suitable model to predict the outcome of murine infections, especially for severely attenuated C. glabrata mutants. Pre-screening of mutants in an invertebrate Drosophila model can, thus, provide a good estimate of the probability of finding a strain with reduced microbial burden in the mouse host.

          Abstract

          Summary: Can the fitness of deletion mutants in a murine model be predicted by their virulence in Drosophila melanogaster? For a fungal pathogen, the answer is, mostly, yes.

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          Most cited references48

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          The Drosophila systemic immune response: sensing and signalling during bacterial and fungal infections.

          A hallmark of the potent, multifaceted antimicrobial defence of Drosophila melanogaster is the challenge-induced synthesis of several families of antimicrobial peptides by cells in the fat body. The basic mechanisms of recognition of various types of microbial infections by the adult fly are now understood, often in great detail. We have further gained valuable insight into the infection-induced gene reprogramming by nuclear factor-kappaB (NF-kappaB) family members under the dependence of complex intracellular signalling cascades. The striking parallels between the adult fly response and mammalian innate immune defences described below point to a common ancestry and validate the relevance of the fly defence as a paradigm for innate immunity.
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            Microarray validation: factors influencing correlation between oligonucleotide microarrays and real-time PCR

            Quantitative real-time PCR (qPCR) is a commonly used validation tool for confirming gene expression results obtained from microarray analysis; however, microarray and qPCR data often result in disagreement. The current study assesses factors contributing to the correlation between these methods in five separate experiments employing two-color 60-mer oligonucleotide microarrays and qPCR using SYBR green. Overall, significant correlation was observed between microarray and qPCR results (ρ=0.708, p 0.80 consistently observed when quality scores are applied.
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              Positive correlation between virulence of Pseudomonas aeruginosa mutants in mice and insects.

              Strain PA14, a human clinical isolate of Pseudomonas aeruginosa, is pathogenic in mice and insects (Galleria mellonella). Analysis of 32 different PA14 mutants in these two hosts showed a novel positive correlation in the virulence patterns. Thus, G. mellonella is a good model system for identifying mammalian virulence factors of P. aeruginosa.
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                Author and article information

                Journal
                Dis Model Mech
                DMM
                dmm
                Disease Models & Mechanisms
                The Company of Biologists
                1754-8403
                1754-8411
                1 May 2015
                : 8
                : 5
                : 473-486
                Affiliations
                [ 1 ]Integrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), University Hospital , 07747 Jena, Germany
                [ 2 ]Department of Microbial Pathogenicity Mechanisms, Hans Knöll Institute , 07745 Jena, Germany
                [ 3 ]Equipe Fondation Recherche Médicale, Unité Propre de Recherche 9022 du Centre National de la Recherche Scientifique (CNRS), Institut de Biologie Moléculaire et Cellulaire (IBMC), Université de Strasbourg , 67084 Strasbourg, France
                [ 4 ]Research Group Microbial Immunology, Hans Knöll Institute , 07745 Jena, Germany
                [ 5 ]Friedrich Schiller University , 07743 Jena, Germany
                [ 6 ]Institute for Clinical Chemistry and Laboratory Medicine, Jena University Hospital , 07747 Jena, Germany
                [ 7 ]Department of Molecular Biotechnology, Fraunhofer Institute for Interfacial Engineering and Biotechnology , 70569 Stuttgart, Germany
                [ 8 ]Department of Medical Biochemistry, Max F. Perutz Laboratories, Medical University Vienna , 1030 Vienna, Austria
                [ 9 ]Institut Pasteur , Unité Biologie et Pathogénicité Fongiques, Département Génomes et Génétique, 75015 Paris, France
                [ 10 ]INRA, USC2019 , 75015 Paris, France
                Author notes
                [*]

                Present address: Department of Internal Medicine, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.

                [‡]

                These authors contributed equally to this work

                [§ ]Author for correspondence ( sascha.brunke@ 123456leibniz-hki.de )
                Article
                DMM019901
                10.1242/dmm.019901
                4415897
                25786415
                7c3c6967-9900-4e51-a6b9-9938ed12d674
                © 2015. Published by The Company of Biologists Ltd

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

                History
                : 9 January 2015
                : 17 March 2015
                Categories
                Research Article
                Custom metadata
                TIB

                Molecular medicine
                candida glabrata,mutant library,drosophila melanogaster,alternative infection models,signature-tagged mutagenesis,fungal virulence factors

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