Literature DB >> 31558641

Complete Genome Sequence of Salmonella enterica Siphophage Shelanagig.

Kathryn Broussard1, Yicheng Xie1, Heather Newkirk1, Mei Liu1, Jason J Gill1, Jolene Ramsey2.   

Abstract

Salmonella enterica is a Gram-negative human pathogen widely known to cause food poisoning. Here, the genome of S. enterica phage Shelanagig is described. Its 42,541-bp genome codes for 68 proteins, for which 33 were assigned a predicted function. Shelanagig shares high similarity at the protein level with other Salmonella phages.
Copyright © 2019 Broussard et al.

Entities:  

Year:  2019        PMID: 31558641      PMCID: PMC6763656          DOI: 10.1128/MRA.01033-19

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

The Gram-negative bacterium Salmonella enterica is a bacterial human pathogen, causing illnesses such as gastroenteritis and typhoid fever (1). Outbreaks of S. enterica typically lead to many deaths, have high monetary costs, and spread via bacterial contamination of food products such as chicken or leafy greens. Phages that target this pathogen may be used to decrease the prevalence of S. enterica outbreaks through decontamination of food or food production facilities (2). Here, we report the genome sequence of phage Shelanagig, which infects S. enterica. Phage Shelanagig was isolated from cattle holding pen soil samples collected in Michigan after processing as described by Xie et al. (3). The host, S. enterica serovar Enteritidis, was cultured on tryptic soy broth or agar (Difco) at 37°C with aeration. Phage were propagated using the soft agar overlay method (4). Phage samples were stained with 2% (wt/vol) uranyl acetate and viewed using transmission electron microscopy at the Texas A&M Microscopy and Imaging Center to ascertain morphology (5). The Shelanagig genome was purified by the shotgun library preparation protocol modification of the Promega Wizard DNA clean-up system (6). Illumina sequencing libraries were prepared with their TruSeq Nano low-throughput kit. The sequencing occurred by v2 500-cycle chemistry on an Illumina MiSeq platform with paired-end 250-bp reads. The 162,861 total reads in the index containing the phage were controlled for quality using FastQC (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). Based on that, the reads were trimmed with the FASTX-Toolkit v0.0.14 (http://hannonlab.cshl.edu/fastx_toolkit/). Assembly using SPAdes v3.5.0 yielded a contig with 74-fold coverage (7). The contig was fully closed by PCR (forward primer, 5′-GCTCAAGACAGTGAGCAGTAA-3′, and reverse primer, 5′-TTTACAGCCCATCTGTCGTG-3′) and Sanger sequencing. Genes were predicted with Glimmer v3.0 and MetaGeneAnnotator v1.0 (8, 9). tRNA coding was probed with ARAGORN v2.36 (10). The presence of Rho-independent terminators was predicted with TransTermHP v2.09 (11). Gene functions were then predicted using domain searching with InterProScan v5.22-61 and comparison via BLAST v2.2.31 to the NCBI nonredundant, UniProtKB Swiss-Prot, and TrEMBL databases using a 0.001 cutoff for the maximum expectation value (12–14). As needed, TMHMM v2.0 results were also inspected (15). Full-length nucleotide sequence similarity was calculated using progressiveMauve v2.4.0 (16). All annotation tools are hosted in the Galaxy and Web Apollo instances at the Center for Phage Technology (https://cpt.tamu.edu/galaxy-pub) (17, 18). Unless otherwise stated, all tools were executed using default parameters. Shelanagig is a siphophage with a genome of 42,541 bp and 49.8% G+C content. It has 68 protein-coding genes on both strands, 33 of which have predicted functions, and the coding density is 94.1%. The phage contains no tRNA genes. The program PhageTerm predicts a headful packaging mechanism (19). While at the nucleotide level, Shelanagig has the highest identity to Salmonella phages ST3 (GenBank accession number MF001364) and ST1 (GenBank accession number MF001366), at 84.92% and 84.90% similarity, respectively, Shelanagig shares 59 proteins with Salmonella phages SETP7 (GenBank accession number KF562865), wksl3 (GenBank accession number JX202565), and BPS11Q3 (GenBank accession number KX405002). Interestingly, Shelanagig contains the slippery sequence needed to produce a frameshifted version of the tail assembly chaperone, as characterized in Escherichia phage lambda G and GT (20).

Data availability.

The genome sequence and associated data for phage Shelanagig were deposited under GenBank accession number MK931446, BioProject accession number PRJNA222858, SRA accession number SRR8869227, and BioSample accession number SAMN11360386.
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Authors:  Jun-Hyun Oh; Mi-Kyung Park
Journal:  J Microbiol Biotechnol       Date:  2017-12-28       Impact factor: 2.351

5.  progressiveMauve: multiple genome alignment with gene gain, loss and rearrangement.

Authors:  Aaron E Darling; Bob Mau; Nicole T Perna
Journal:  PLoS One       Date:  2010-06-25       Impact factor: 3.240

6.  Chaperone-protein interactions that mediate assembly of the bacteriophage lambda tail to the correct length.

Authors:  Jun Xu; Roger W Hendrix; Robert L Duda
Journal:  J Mol Biol       Date:  2013-07-30       Impact factor: 5.469

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Authors:  Philip Jones; David Binns; Hsin-Yu Chang; Matthew Fraser; Weizhong Li; Craig McAnulla; Hamish McWilliam; John Maslen; Alex Mitchell; Gift Nuka; Sebastien Pesseat; Antony F Quinn; Amaia Sangrador-Vegas; Maxim Scheremetjew; Siew-Yit Yong; Rodrigo Lopez; Sarah Hunter
Journal:  Bioinformatics       Date:  2014-01-21       Impact factor: 6.937

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Journal:  ScientificWorldJournal       Date:  2015-01-13

9.  UniProt: the universal protein knowledgebase.

Authors:  The UniProt Consortium
Journal:  Nucleic Acids Res       Date:  2018-03-16       Impact factor: 16.971

10.  The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update.

Authors:  Enis Afgan; Dannon Baker; Bérénice Batut; Marius van den Beek; Dave Bouvier; Martin Cech; John Chilton; Dave Clements; Nate Coraor; Björn A Grüning; Aysam Guerler; Jennifer Hillman-Jackson; Saskia Hiltemann; Vahid Jalili; Helena Rasche; Nicola Soranzo; Jeremy Goecks; James Taylor; Anton Nekrutenko; Daniel Blankenberg
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

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