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      Genome‐wide analysis of in vivo CcpA binding with and without its key co‐factor HPr in the major human pathogen group A Streptococcus

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          Abstract

          Catabolite control protein A (CcpA) is a master regulator of carbon source utilization and contributes to the virulence of numerous medically important Gram‐positive bacteria. Most functional assessments of CcpA, including interaction with its key co‐factor HPr, have been performed in nonpathogenic bacteria. In this study we aimed to identify the in vivo DNA binding profile of CcpA and assess the extent to which HPr is required for CcpA‐mediated regulation and DNA binding in the major human pathogen group A Streptococcus (GAS). Using a combination RNAseq/ChIP‐seq approach, we found that CcpA affects transcript levels of 514 of 1667 GAS genes (31%) whereas direct DNA binding was identified for 105 GAS genes. Three of the directly regulated genes encode the key GAS virulence factors Streptolysin S, PrtS (IL‐8 degrading proteinase), and SpeB (cysteine protease). Mutating CcpA Val301 to Ala (strain 2221‐CcpA‐V301A) abolished interaction between CcpA and HPr and impacted the transcript levels of 205 genes (40%) in the total CcpA regulon. By ChIP‐seq analysis, CcpAV301A bound to DNA from 74% of genes bound by wild‐type CcpA, but generally with lower affinity. These data delineate the direct CcpA regulon and clarify the HPr‐dependent and independent activities of CcpA in a key pathogenic bacterium.

          Abstract

          The carbon catabolite protein, CcpA, regulates carbohydrate utilization and virulence in concert with its phosphorylated co‐factor histine containing protein (HPr~P). In this study we engineered a CcpA isoform that does not interact with HPr~P. Using a combination of ChIPseq and RNAseq we report the in vivo binding sites of CcpA in group A Streptococcus. We also demonstrate that CcpA retains the ability to bind and regulate genes even when it cannot interact with HPr~P.

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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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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              BEDTools: a flexible suite of utilities for comparing genomic features

              Motivation: Testing for correlations between different sets of genomic features is a fundamental task in genomics research. However, searching for overlaps between features with existing web-based methods is complicated by the massive datasets that are routinely produced with current sequencing technologies. Fast and flexible tools are therefore required to ask complex questions of these data in an efficient manner. Results: This article introduces a new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format. BEDTools also supports the comparison of sequence alignments in BAM format to both BED and GFF features. The tools are extremely efficient and allow the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks. BEDTools can be combined with one another as well as with standard UNIX commands, thus facilitating routine genomics tasks as well as pipelines that can quickly answer intricate questions of large genomic datasets. Availability and implementation: BEDTools was written in C++. Source code and a comprehensive user manual are freely available at http://code.google.com/p/bedtools Contact: aaronquinlan@gmail.com; imh4y@virginia.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                sshelburne@mdanderson.org
                Journal
                Mol Microbiol
                Mol Microbiol
                10.1111/(ISSN)1365-2958
                MMI
                Molecular Microbiology
                John Wiley and Sons Inc. (Hoboken )
                0950-382X
                1365-2958
                29 December 2020
                June 2021
                : 115
                : 6 ( doiID: 10.1111/mmi.v115.6 )
                : 1207-1228
                Affiliations
                [ 1 ] Department of Infectious Diseases Infection Control and Employee Health University of Texas MD Anderson Cancer Center Houston TX USA
                [ 2 ] Facultad de Ciencias Químicas y Farmacéuticas Advanced Center for Chronic Diseases‐ACCDiS Universidad de Chile Independencia Chile
                [ 3 ] Laboratorio de Bioingeniería Instituto de Ciencias de la Ingeniería Universidad de O'Higgins Rancagua Chile
                [ 4 ] Center for Infectious and Inflammatory Diseases Institute of Biosciences and Technology Texas A&M University Health Science Center Houston TX USA
                [ 5 ] Centro de Modelamiento Molecular, Biofísica y Bioinformática (CM2B2) Facultad de Ciencias Químicas y Farmacéuticas Universidad de Chile Santiago Chile
                [ 6 ] Laboratorio de Bioinformática y Expresión Génica INTA Universidad de Chile Santiago Chile
                [ 7 ] Mathomics Center for Mathematical Modeling Universidad de Chile Santiago Chile
                [ 8 ] Center for Genome Regulation (Fondap 15090007) Universidad de Chile Santiago Chile
                [ 9 ] Division of Infectious Diseases Department of Pediatrics University of Texas Health Science Center McGovern Medical School Houston TX USA
                [ 10 ] Center for Antimicrobial Resistance and Microbial Genomics University of Texas Health Science Center McGovern Medical School Houston TX USA
                [ 11 ] Department of Genomic Medicine University of Texas MD Anderson Cancer Center Houston TX USA
                [ 12 ]Present address: Department of Experimental Therapeutics University of Texas MD Anderson Cancer Center Houston TX USA
                Author notes
                [*] [* ] Correspondence

                Samuel A. Shelburne, Department of Infectious Diseases, MD Anderson Cancer Center, Unit 1460, 1515 Holcombe Blvd, Houston, TX, 77030, USA.

                Email: sshelburne@ 123456mdanderson.org

                Author information
                https://orcid.org/0000-0001-7328-0443
                https://orcid.org/0000-0002-8873-9381
                https://orcid.org/0000-0001-9721-263X
                Article
                MMI14667
                10.1111/mmi.14667
                8359418
                33325565
                a154a8fe-67ac-46b9-804d-925b5ce6077a
                © 2020 The Authors. Molecular Microbiology published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 02 December 2020
                : 20 August 2020
                : 11 December 2020
                Page count
                Figures: 8, Tables: 4, Pages: 22, Words: 16280
                Funding
                Funded by: National Institutes of Health , doi 10.13039/100000002;
                Award ID: RO1 AI089891
                Funded by: Center for Mathematical Modeling
                Award ID: AFB170001
                Funded by: FONDECYT N° 1190742 , doi 10.13039/501100002850;
                Funded by: Center for Genome Regulation FONDAP 15090007
                Funded by: CUECH
                Funded by: Gobierno Regional Chile
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                June 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.5 mode:remove_FC converted:12.08.2021

                Microbiology & Virology
                chip‐seq,hpr‐independent ccpa regulation,streptococcus pyogenes

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