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      Fever-like temperature impacts on Staphylococcus aureus and Pseudomonas aeruginosa interaction, physiology, and virulence both in vitro and in vivo

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          Abstract

          Background

          Staphylococcus aureus (SA) and Pseudomonas aeruginosa (PA) cause a wide variety of bacterial infections and coinfections, showing a complex interaction that involves the production of different metabolites and metabolic changes. Temperature is a key factor for bacterial survival and virulence and within the host, bacteria could be exposed to an increment in temperature during fever development. We analyzed the previously unexplored effect of fever-like temperatures (39 °C) on S. aureus USA300 and P. aeruginosa PAO1 microaerobic mono- and co-cultures compared with 37 °C, by using RNAseq and physiological assays including in vivo experiments.

          Results

          In general terms both temperature and co-culturing had a strong impact on both PA and SA with the exception of the temperature response of monocultured PA. We studied metabolic and virulence changes in both species. Altered metabolic features at 39 °C included arginine biosynthesis and the periplasmic glucose oxidation in S. aureus and P. aeruginosa monocultures respectively. When PA co-cultures were exposed at 39 °C, they upregulated ethanol oxidation-related genes along with an increment in organic acid accumulation. Regarding virulence factors, monocultured SA showed an increase in the mRNA expression of the agr operon and hld, pmsα, and pmsβ genes at 39 °C. Supported by mRNA data, we performed physiological experiments and detected and increment in hemolysis, staphyloxantin production, and a decrease in biofilm formation at 39 °C. On the side of PA monocultures, we observed an increase in extracellular lipase and protease and biofilm formation at 39 °C along with a decrease in the motility in correlation with changes observed at mRNA abundance. Additionally, we assessed host–pathogen interaction both in vitro and in vivo. S. aureus monocultured at 39 οC showed a decrease in cellular invasion and an increase in IL-8—but not in IL-6—production by A549 cell line. PA also decreased its cellular invasion when monocultured at 39 °C and did not induce any change in IL-8 or IL-6 production. PA strongly increased cellular invasion when co-cultured at 37 and 39 °C. Finally, we observed increased lethality in mice intranasally inoculated with S. aureus monocultures pre-incubated at 39 °C and even higher levels when inoculated with co-cultures. The bacterial burden for P. aeruginosa was higher in liver when the mice were infected with co-cultures previously incubated at 39 °C comparing with 37 °C.

          Conclusions

          Our results highlight a relevant change in the virulence of bacterial opportunistic pathogens exposed to fever-like temperatures in presence of competitors, opening new questions related to bacteria-bacteria and host–pathogen interactions and coevolution.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12915-024-01830-3.

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          Most cited references60

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            NIH Image to ImageJ: 25 years of image analysis

            For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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              STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

              Abstract Proteins and their functional interactions form the backbone of the cellular machinery. Their connectivity network needs to be considered for the full understanding of biological phenomena, but the available information on protein–protein associations is incomplete and exhibits varying levels of annotation granularity and reliability. The STRING database aims to collect, score and integrate all publicly available sources of protein–protein interaction information, and to complement these with computational predictions. Its goal is to achieve a comprehensive and objective global network, including direct (physical) as well as indirect (functional) interactions. The latest version of STRING (11.0) more than doubles the number of organisms it covers, to 5090. The most important new feature is an option to upload entire, genome-wide datasets as input, allowing users to visualize subsets as interaction networks and to perform gene-set enrichment analysis on the entire input. For the enrichment analysis, STRING implements well-known classification systems such as Gene Ontology and KEGG, but also offers additional, new classification systems based on high-throughput text-mining as well as on a hierarchical clustering of the association network itself. The STRING resource is available online at https://string-db.org/.
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                Author and article information

                Contributors
                paulatrib@qb.fcen.uba.ar
                Journal
                BMC Biol
                BMC Biol
                BMC Biology
                BioMed Central (London )
                1741-7007
                5 February 2024
                5 February 2024
                2024
                : 22
                : 27
                Affiliations
                [1 ]GRID grid.423606.5, ISNI 0000 0001 1945 2152, Instituto De Química Biológica de La Facultad de Ciencias Exactas y Naturales-CONICET, ; Buenos Aires, Argentina
                [2 ]Department of Biology, Institut Teknologi Sepuluh Nopember, ( https://ror.org/05kbmmt89) Surabaya, Indonesia
                [3 ]GRID grid.7345.5, ISNI 0000 0001 0056 1981, IFIBYNE (UBA-CONICET), FBMC, FCEyN-UBA, ; Buenos Aires, Argentina
                [4 ]GRID grid.7345.5, ISNI 0000 0001 0056 1981, Instituto del Calculo-UBA-CONICET, ; Buenos Aires, Argentina
                [5 ]GRID grid.7345.5, ISNI 0000 0001 0056 1981, Departamento de Química Biológica, , FCEyN-UBA, ; Buenos Aires, Argentina
                [6 ]Department of Biological Science, College of Natural Sciences and Mathematics, California State University Fullerton, ( https://ror.org/02avqqw26) Fullerton, CA USA
                [7 ]Department of Microbial Genetics, Interfaculty Institute of Microbiology and Infection Medicine Tübingen (IMIT), University of Tübingen, ( https://ror.org/03a1kwz48) Tübingen, Germany
                [8 ]Present addressDepartment of BiochemistrySchool of Medicine, Universidad Autónoma de Madrid and Instituto de Investigaciones Biomédicas Alberto Sols (Universidad Autónoma de Madrid-Consejo Superior de Investigaciones Científicas), ( https://ror.org/01cby8j38) Madrid, Spain
                Author information
                http://orcid.org/0000-0001-9558-6275
                Article
                1830
                10.1186/s12915-024-01830-3
                10845740
                38317219
                23d6466c-f122-4f78-af15-730e9c2b2bb5
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 31 July 2023
                : 18 January 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003074, Agencia Nacional de Promoción Científica y Tecnológica;
                Award ID: PICT2018-2017
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100005156, Alexander von Humboldt-Stiftung;
                Award ID: Retourn Fellowship
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100010782, Exzellenzclusters Entzündungsforschung;
                Award ID: Cluster of Excellence EXC 2124 - Controlling Microbes to Fight Infections - 390838134
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000009, Foundation for the National Institutes of Health;
                Award ID: SC3GM125556
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Life sciences
                interaction,temperature,virulence,pseudomonas aeruginosa,staphylococcus aureus
                Life sciences
                interaction, temperature, virulence, pseudomonas aeruginosa, staphylococcus aureus

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