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      Adding function to the genome of African Salmonella Typhimurium ST313 strain D23580

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          Abstract

          Salmonella Typhimurium sequence type (ST) 313 causes invasive nontyphoidal Salmonella (iNTS) disease in sub-Saharan Africa, targeting susceptible HIV +, malarial, or malnourished individuals. An in-depth genomic comparison between the ST313 isolate D23580 and the well-characterized ST19 isolate 4/74 that causes gastroenteritis across the globe revealed extensive synteny. To understand how the 856 nucleotide variations generated phenotypic differences, we devised a large-scale experimental approach that involved the global gene expression analysis of strains D23580 and 4/74 grown in 16 infection-relevant growth conditions. Comparison of transcriptional patterns identified virulence and metabolic genes that were differentially expressed between D23580 versus 4/74, many of which were validated by proteomics. We also uncovered the S. Typhimurium D23580 and 4/74 genes that showed expression differences during infection of murine macrophages. Our comparative transcriptomic data are presented in a new enhanced version of the Salmonella expression compendium, SalComD23580: http://bioinf.gen.tcd.ie/cgi-bin/salcom_v2.pl. We discovered that the ablation of melibiose utilization was caused by three independent SNP mutations in D23580 that are shared across ST313 lineage 2, suggesting that the ability to catabolize this carbon source has been negatively selected during ST313 evolution. The data revealed a novel, to our knowledge, plasmid maintenance system involving a plasmid-encoded CysS cysteinyl-tRNA synthetase, highlighting the power of large-scale comparative multicondition analyses to pinpoint key phenotypic differences between bacterial pathovariants.

          Abstract

          Comparative transcriptomic analysis of two contrasting Salmonella enterica Typhimurium isolates across 16 in vitro conditions and within macrophages reveals the mechanism of African Salmonella metabolic defect and a novel bacterial plasmid maintenance system.

          Author summary

          Invasive nontyphoidal Salmonella (iNTS) is associated with a major and largely unreported tropical disease that is responsible for hundreds of thousands of deaths per year in Africa. The main causative agent is a pathovariant of Salmonella Typhimurium called ST313, which is closely related to the well-characterized ST19 sequence type of Salmonella that causes gastroenteritis globally. ST313 and ST19 vary by just 856 core genome single-nucleotide polymorphisms (SNPs). To understand how genetic changes generate phenotypic and mechanistic differences between African and global Salmonella, we used functional transcriptomic and proteomic approaches. By investigating the transcriptome of African and global S. Typhimurium in 17 growth conditions, we discovered that 677 genes and small RNAs were differentially expressed between strains D23580 (ST313) and 4/74 (ST19). A parallel proteomic approach linked gene expression differences to alterations at the protein level. We also identified differentially expressed genes during the actual infection of murine macrophages. Our data revealed the genetic basis of the loss of a carbon source utilization in African Salmonella and the discovery of a new mechanism for maintaining a plasmid in a bacterial population involving a plasmid-encoded essential bacterial gene.

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          featureCounts: An efficient general-purpose program for assigning sequence reads to genomic features

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          Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the key information required for downstream analysis is the number of reads mapping to each genomic feature, for example to each exon or each gene. The process of counting reads is called read summarization. Read summarization is required for a great variety of genomic analyses but has so far received relatively little attention in the literature. We present featureCounts, a read summarization program suitable for counting reads generated from either RNA or genomic DNA sequencing experiments. featureCounts implements highly efficient chromosome hashing and feature blocking techniques. It is considerably faster than existing methods (by an order of magnitude for gene-level summarization) and requires far less computer memory. It works with either single or paired-end reads and provides a wide range of options appropriate for different sequencing applications. featureCounts is available under GNU General Public License as part of the Subread (http://subread.sourceforge.net) or Rsubread (http://www.bioconductor.org) software packages.
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            A5-miseq: an updated pipeline to assemble microbial genomes from Illumina MiSeq data.

            Open-source bacterial genome assembly remains inaccessible to many biologists because of its complexity. Few software solutions exist that are capable of automating all steps in the process of de novo genome assembly from Illumina data.
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              Simultaneous assay of every Salmonella Typhi gene using one million transposon mutants.

              Very high-throughput sequencing technologies need to be matched by high-throughput functional studies if we are to make full use of the current explosion in genome sequences. We have generated a very large bacterial mutant pool, consisting of an estimated 1.1 million transposon mutants and we have used genomic DNA from this mutant pool, and Illumina nucleotide sequencing to prime from the transposon and sequence into the adjacent target DNA. With this method, which we have called TraDIS (transposon directed insertion-site sequencing), we have been able to map 370,000 unique transposon insertion sites to the Salmonella enterica serovar Typhi chromosome. The unprecedented density and resolution of mapped insertion sites, an average of one every 13 base pairs, has allowed us to assay simultaneously every gene in the genome for essentiality and generate a genome-wide list of candidate essential genes. In addition, the semiquantitative nature of the assay allowed us to identify genes that are advantageous and those that are disadvantageous for growth under standard laboratory conditions. Comparison of the mutant pool following growth in the presence or absence of ox bile enabled every gene to be assayed for its contribution toward bile tolerance, a trait required of any enteric bacterium and for carriage of S. Typhi in the gall bladder. This screen validated our hypothesis that we can simultaneously assay every gene in the genome to identify niche-specific essential genes.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: Formal analysisRole: VisualizationRole: Writing – review & editing
                Role: Investigation
                Role: Investigation
                Role: InvestigationRole: Validation
                Role: Investigation
                Role: InvestigationRole: VisualizationRole: Writing – review & editing
                Role: Investigation
                Role: ResourcesRole: Supervision
                Role: ResourcesRole: Writing – review & editing
                Role: Formal analysisRole: Methodology
                Role: Formal analysisRole: MethodologyRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: MethodologyRole: Visualization
                Role: Formal analysisRole: MethodologyRole: Visualization
                Role: SoftwareRole: VisualizationRole: Writing – review & editing
                Role: ResourcesRole: Supervision
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Biol
                PLoS Biol
                plos
                plosbiol
                PLoS Biology
                Public Library of Science (San Francisco, CA USA )
                1544-9173
                1545-7885
                15 January 2019
                January 2019
                15 January 2019
                : 17
                : 1
                : e3000059
                Affiliations
                [1 ] Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom
                [2 ] Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, United States of America
                [3 ] Quadram Institute Bioscience, Norwich Research Park, Norwich, United Kingdom
                [4 ] Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield, United Kingdom
                [5 ] Department of Genetics, School of Genetics and Microbiology, Smurfit Institute of Genetics, Trinity College Dublin, Ireland
                [6 ] Institute of Infection and Global Health, University of Liverpool, Liverpool, United Kingdom
                [7 ] Malawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Malawi, Central Africa
                Brigham and Women's Hospital, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                [¤a]

                Current address: Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden

                [¤b]

                Current address: Department of Microbiology, School of Genetics and Microbiology, Moyne Institute of Preventive Medicine, Trinity College Dublin, Ireland

                [¤c]

                Current address: Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America

                [¤d]

                Current address: Scientific Computing Department, STFC Daresbury Laboratory, Warrington, United Kingdom

                Author information
                http://orcid.org/0000-0003-0461-1530
                http://orcid.org/0000-0001-5330-3177
                http://orcid.org/0000-0003-3804-2209
                http://orcid.org/0000-0003-0105-6594
                http://orcid.org/0000-0001-5037-2695
                http://orcid.org/0000-0003-0384-4463
                http://orcid.org/0000-0002-2750-1599
                http://orcid.org/0000-0001-7464-2370
                http://orcid.org/0000-0003-2671-6026
                Article
                PBIOLOGY-D-18-00880
                10.1371/journal.pbio.3000059
                6333337
                30645593
                e2372299-6874-4869-b412-9db1d258f6b2
                © 2019 Canals et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Page count
                Figures: 9, Tables: 0, Pages: 32
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100010269, Wellcome Trust;
                Award ID: 106914/Z/15/Z
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100011264, FP7 People: Marie-Curie Actions;
                Award ID: 628450
                Award Recipient :
                This work was supported by a Wellcome Trust Senior Investigator award (to JCDH) (Grant 106914/Z/15/Z). RC was supported by a EU Marie Curie International Incoming Fellowship (FP7-PEOPLE-2013-IIF, Project Reference 628450). DLH was supported by the Wenner-Gren Foundation, Sweden. NW was supported by an Early Postdoc Mobility Fellowship from the Swiss National Science Foundation (Project Reference P2LAP3_158684). Part of this work was supported by two awards from the University of Liverpool Technology Directorate Voucher Scheme to RC and DLH. The BBSRC grant BB/L024209/1 to RRC provided support for MicrobesNG. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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                Custom metadata
                The updated D23580 genome and annotation (D23580_liv) have been deposited in the European Nucleotide Archive (ENA) repository (EMBL-EBI) under accession PRJEB28511 ( https://www.ebi.ac.uk/ena/data/view/PRJEB28511). The RNA-seq-derived transcriptomic data generated and reanalyzed in this study have been deposited in the Gene Expression Omnibus (GEO) database: accession number GSE119724. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD011041. Resources for the visualization of the RNA-seq data in the 16 in vitro growth conditions and the intra-macrophage environment are available online at http://bioinf.gen.tcd.ie/cgi-bin/salcom_v2.pl.

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