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      Regulator of Actin-Based Motility (RoaM) Downregulates Actin Tail Formation by Rickettsia rickettsii and Is Negatively Selected in Mammalian Cell Culture

      research-article
      a , a , a ,
      mBio
      American Society for Microbiology
      Rickettsia, actin, vector-borne diseases

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          ABSTRACT

          The etiological agent of Rocky Mountain spotted fever, Rickettsia rickettsii, is an obligately intracellular pathogen that induces the polymerization of actin filaments to propel the bacterium through the cytoplasm and spread to new host cells. Cell-to-cell spread via actin-based motility is considered a key virulence determinant for spotted fever group rickettsiae, as interruption of sca2, the gene directly responsible for actin polymerization, has been shown to reduce fever in guinea pigs. However, little is known about how, or if, motility is regulated by the bacterium itself. We isolated a hyperspreading variant of R. rickettsii Sheila Smith that produces actin tails at an increased rate. A1G_06520 ( roaM [ regulator of actin-based motility]) was identified as a negative regulator of actin tail formation. Disruption of RoaM significantly increased the number of actin tails compared to the wild-type strain but did not increase virulence in guinea pigs; however, overexpression of RoaM dramatically decreased the presence of actin tails and moderated fever response. Localization experiments suggest that RoaM is not secreted, while reverse transcription-quantitative PCR (RT-qPCR) data show that various levels of RoaM do not significantly affect the expression of the known rickettsial actin-regulating proteins sca2, sca4, and rickA. Taken together, the data suggest a previously unrecognized level of regulation of actin-based motility in spotted fever group rickettsiae. Although this gene is intact in many isolates of spotted fever, transitional, and ancestral group Rickettsia spp., it is often ablated in highly passaged laboratory strains. Serial passage experiments revealed strong negative selection of roaM in Vero 76 cells.

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          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            Fiji: an open-source platform for biological-image analysis.

            Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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              Cleavage of Structural Proteins during the Assembly of the Head of Bacteriophage T4

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                Author and article information

                Contributors
                Role: Editor
                Journal
                mBio
                mBio
                mbio
                mBio
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2150-7511
                14 March 2022
                Mar-Apr 2022
                14 March 2022
                : 13
                : 2
                : e00353-22
                Affiliations
                [a ] Host-Parasite Interactions Section, Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, Montana, USA
                Yale University School of Medicine
                Author notes

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-1367-5528
                Article
                00353-22 mbio.00353-22
                10.1128/mbio.00353-22
                9040884
                35285700
                e4425710-5d40-4503-9786-24d6efdfaeea

                This is a work of the U.S. Government and is not subject to copyright protection in the United States. Foreign copyrights may apply.

                History
                : 9 February 2022
                : 18 February 2022
                Page count
                supplementary-material: 7, Figures: 11, Tables: 1, Equations: 0, References: 71, Pages: 20, Words: 11734
                Funding
                Funded by: Division of Intramural Research, National Institute of Allergy and Infectious Diseases (DIR, NIAID), FundRef https://doi.org/10.13039/100006492;
                Award ID: Z01-000977
                Award Recipient :
                Categories
                Research Article
                host-microbial-interactions, Host-Microbial Interactions
                Custom metadata
                March/April 2022

                Life sciences
                rickettsia,actin,vector-borne diseases
                Life sciences
                rickettsia, actin, vector-borne diseases

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