Literature DB >> 31072886

Complete Genome Sequence of Serratia marcescens Siphophage Scapp.

Brian T Koehler1, Helena Hopson1, Rohit Kongari1, Rachele Bonasera1, Adriana C Hernandez-Morales1, Mei Liu2.   

Abstract

Serratia marcescens is an opportunistic pathogen that typically infects the respiratory and urinary tract, with the majority of cases being hospital acquired. The study of S. marcescens phages may help control drug-resistant S. marcescens strains. In this study, we announce the complete genome sequence and the features of S. marcescens siphophage Scapp.
Copyright © 2019 Koehler et al.

Entities:  

Year:  2019        PMID: 31072886      PMCID: PMC6509535          DOI: 10.1128/MRA.00417-19

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


ANNOUNCEMENT

Serratia marcescens is an opportunistic pathogen that typically infects the respiratory and urinary tract, with the majority of cases being hospital acquired (1–3). Many strains of S. marcescens identified in intensive care unit patients in U.S. hospitals possess resistance to most available antibiotics (4). The study of S. marcescens phages may help control drug-resistant S. marcescens strains. The siphophage Scapp was isolated using an S. marcescens strain from activated sludge collected from the water treatment plant in College Station, TX. Host bacteria were cultured on nutrient broth or agar (Difco) at 37°C with aeration. Phages were isolated and propagated by the soft agar overlay method (5). Phage genomic DNA was prepared using a modified Promega Wizard DNA cleanup kit protocol, as described previously (6). Pooled indexed DNA libraries were prepared using the Illumina TruSeq Nano low-throughput (LT) kit, and the sequence was obtained by the Illumina MiSeq platform using the MiSeq v2 500-cycle reagent kit, following the manufacturer’s instructions, producing 447,621 paired-end reads for the index containing the phage genome. The quality of the reads was checked in FastQC 0.11.5 (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/), and reads were trimmed with the FastX-Toolkit 0.0.14 (http://hannonlab.cshl.edu/fastx_toolkit/) and assembled in SPAdes 3.5.0 (7). The assembled genome was closed by PCR using primers 5′-AAACAACGGAGTGGGAAGAG-3′ and 5’-CAGGGTCTATCACGCAGTAAAT-3′ facing away from the center of the assembled contig and by Sanger sequencing of the resulting product, with the contig sequence manually corrected to match the resulting Sanger sequencing read. Protein-coding genes were predicted using Glimmer 3.0 (8) and MetaGeneAnnotator 1.0 (9) and corrected manually if needed. The tRNA genes were predicted using ARAGORN 2.36 (10). Protein functions were predicted by comparing sequence homology to proteins found using BLASTp 2.2.28 (11), and conserved domains were analyzed using InterProScan 5.15-5.40 (12). All analyses were performed under default settings using the CPT Galaxy (13) and WebApollo (14) interfaces (cpt.tamu.edu). The complete 42,969-bp Scapp genome was assembled at 192.1-fold coverage. It has 59 protein-coding genes, an overall coding density of 93%, and a GC content of 56%. Using the progressiveMAUVE algorithm (v2.4.0) (15), Scapp shows less than 20% DNA sequence similarity to any other phage in the NCBI nucleotide (nt) database. The Scapp genome begins with an ∼6,000-bp region that contains novel genes with no sequence similarity to other proteins in the NCBI nonredundant (nr) database. At the protein level, phage Scapp is most closely related to phages APSE-2 (GenBank accession number EU794049) and a prophage-like element (GenBank accession number HQ377374) associated with insect symbionts. Some of the structural proteins of phage Scapp are related to common enterobacterial siphophage proteins (BLASTp E value, ≤10−3), such as those found in phages N15, T1, and Lambda. These genes include those encoding head assembly, major capsid, tape measure, major tail, tail tip, and four minor tail proteins. An endonuclease, a transcriptional regulator, and a transposase are located next to the lysis cassette but do not interrupt any genes. An adjacent holin-antiholin pair and an endolysin (d-alanyl-d-alanine carboxypeptidase) were identified. The o-spanin is embedded in the i-spanin, and this spanin complex is located separately from the other lysis genes.

Data availability.

The genome sequence of phage Scapp was deposited under GenBank accession number MH553517. The associated BioProject, SRA, and BioSample accession numbers are PRJNA222858, SRR8788475, and SAMN11259833, respectively.
  14 in total

1.  ARAGORN, a program to detect tRNA genes and tmRNA genes in nucleotide sequences.

Authors:  Dean Laslett; Bjorn Canback
Journal:  Nucleic Acids Res       Date:  2004-01-02       Impact factor: 16.971

2.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

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Authors:  Ronald N Jones
Journal:  Clin Infect Dis       Date:  2010-08-01       Impact factor: 9.079

4.  Improved microbial gene identification with GLIMMER.

Authors:  A L Delcher; D Harmon; S Kasif; O White; S L Salzberg
Journal:  Nucleic Acids Res       Date:  1999-12-01       Impact factor: 16.971

5.  Preparation of a phage DNA fragment library for whole genome shotgun sequencing.

Authors:  Elizabeth J Summer
Journal:  Methods Mol Biol       Date:  2009

6.  Urinary tract infections in the early posttransplant period after kidney transplantation: etiologic agents and their susceptibility.

Authors:  D Kawecki; A Kwiatkowski; A Sawicka-Grzelak; M Durlik; L Paczek; A Chmura; G Mlynarczyk; W Rowinski; M Luczak
Journal:  Transplant Proc       Date:  2011-10       Impact factor: 1.066

7.  Antimicrobial resistance among Gram-negative bacilli causing infections in intensive care unit patients in the United States between 1993 and 2004.

Authors:  Shawn R Lockhart; Murray A Abramson; Susan E Beekmann; Gale Gallagher; Stefan Riedel; Daniel J Diekema; John P Quinn; Gary V Doern
Journal:  J Clin Microbiol       Date:  2007-08-22       Impact factor: 5.948

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Authors:  Christiam Camacho; George Coulouris; Vahram Avagyan; Ning Ma; Jason Papadopoulos; Kevin Bealer; Thomas L Madden
Journal:  BMC Bioinformatics       Date:  2009-12-15       Impact factor: 3.169

9.  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

10.  MetaGeneAnnotator: detecting species-specific patterns of ribosomal binding site for precise gene prediction in anonymous prokaryotic and phage genomes.

Authors:  Hideki Noguchi; Takeaki Taniguchi; Takehiko Itoh
Journal:  DNA Res       Date:  2008-10-21       Impact factor: 4.458

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