Literature DB >> 26430051

Draft Genome Sequences of Four Genetically Distinct Human Isolates of Streptococcus dysgalactiae subsp. equisimilis.

Caitlin Evers1, Khushali Patel1, Varduhi Petrosyan1, Clay Morrison2, Viju Varghese3, Randy A Chu1, Aymen Baig4, Erika J Thompson5, Michael Chase6, Peter C Hu7, Awdhesh Kalia8.   

Abstract

β-Hemolytic group C and group G streptococci (GCS-GGS; Streptococcus dysgalactiae subsp. equisimilis) emerged as human pathogens in the late 1970s. We report here the draft genome sequences of four genetically distinct human strains of GCS-GGS isolated between the 1960s and 1980s. Comparative analysis of these genomes may provide a deeper understanding of GCS-GGS genome and virulence evolution.
Copyright © 2015 Evers et al.

Entities:  

Year:  2015        PMID: 26430051      PMCID: PMC4591323          DOI: 10.1128/genomeA.01139-15

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Large-colony-forming β-hemolytic isolates of Lancefield group C and group G Streptococci (GCS-GGS) identified as Streptococcus dysgalactiae subsp. equisimilis can infect humans and other mammals (1, 2). GCS and GGS emerged as human pathogens in the late 1970s and early 1980s and now approximate or surpass group A streptococci (GAS) as the predominant cause of invasive β-hemolytic streptococcal infection (3–5). The transfer of genes from GAS into GCS-GGS genomes via horizontal gene transfer (HGT) is common and ostensibly the most parsimonious explanation for the emergence of GCS-GGS as human pathogens (1, 6, 7). The dynamics of HGT between GAS and GCS-GGS are complicated. Some HGT events are asymmetric (aHGT), which can further be categorized as additive- or replacing-type aHGT (7); other HGT events are more typical and involve homologous recombination among orthologs, resulting in gene mosaics (8, 9). The mechanisms of replacing-type aHGT remain elusive. It is unclear (i) how replacing-type aHGT may shape diversity in the global GCS-GGS gene pool, (ii) whether aHGT dynamics differ spatially and temporally, and (iii) whether aHGT alone can account for the emergence of GCS-GGS as human pathogens. Here, we report the draft genome sequences of four GCS-GGS isolates (Table 1). Lancefield groups of all isolates were determined by serotyping. High-quality genomic DNA was extracted using a previously described method (10) modified to include mutanolysin. Isolates were confirmed to be S. dysgalactiae subsp. equisimilis with 16S rRNA sequencing (GenBank accession numbers KP972460 to KP972463), and the genetic relatedness of the GCS-GGS isolates was determined via multilocus sequence typing (MLST) (GenBank accession numbers KT347549 to KT347565) (Table 1) (11, 12). Whole-genome shotgun sequencing was done with the Roche 454 GS Jr+ system. De novo assembly was performed with Newbler version 3.0 using default settings; contigs <200 bp were not included. The genome statistics are listed in Table 1.
TABLE 1 

Strain descriptions and draft genome statistics

StrainSerotype/yrDiseaseMLST genotypeAccession no.No. of contigs >200 bpContig N50 (Kb)Average coverage (×)Estimated genome size (Mb)
UT-5345C/1983BacteremiaST-53LAKV000000009150.369242.2
UT-SS1069C/1974UnknownST-3LAKS000000008652162.01
UT-5354G/1980sBacteremiaNDaLAKU000000007575.47212.07
UT-SS957C/1969UnknownST-51LAKT000000005891.808502.03

ND, not determined; harbors a unique xpt allele not present in the S. dysgalactiae subsp. equisimilis MLST database and 99% identical to allele xpt28 from GCS-GGS and 99% identical to allele xpt29 from GAS.

Strain descriptions and draft genome statistics ND, not determined; harbors a unique xpt allele not present in the S. dysgalactiae subsp. equisimilis MLST database and 99% identical to allele xpt28 from GCS-GGS and 99% identical to allele xpt29 from GAS. (This work was presented in part at the 115th General Meeting of the American Society for Microbiology, New Orleans, LA, 30 May to 2 June 2015.) Assembled genomes were annotated using NCBI PGAP version 2.1 (rev. 462191) (http://www.ncbi.nlm.nih.gov/genome/annotation_prok/) and RASTtk pipelines (13) in conjunction with Blast2GO (14). The 16S rRNA sequences in the draft genome were identified using RNAmmer version 1.2 (15). Automated MLST using the draft genomes was performed with MLST version 1.8 (16). The pre- and postgenome sequencing of 16S rRNA and MLST sequence data were 100% concordant and confirmed the lack of any contaminating DNA in the genomic DNA preparations or in sequencing libraries.

Nucleotide sequence accession numbers.

The draft genome sequences have been deposited as whole-genome shotgun projects at DDBJ/EMBL/GenBank under the accession numbers listed in Table 1. The versions described in this paper are the first versions.
  16 in total

1.  A method for extraction of high-quality and high-quantity genomic DNA generally applicable to pathogenic bacteria.

Authors:  A Kalia; A Rattan; P Chopra
Journal:  Anal Biochem       Date:  1999-11-01       Impact factor: 3.365

2.  Multilocus sequence typing of total-genome-sequenced bacteria.

Authors:  Mette V Larsen; Salvatore Cosentino; Simon Rasmussen; Carsten Friis; Henrik Hasman; Rasmus Lykke Marvig; Lars Jelsbak; Thomas Sicheritz-Pontén; David W Ussery; Frank M Aarestrup; Ole Lund
Journal:  J Clin Microbiol       Date:  2012-01-11       Impact factor: 5.948

3.  Presence of streptococcal pyrogenic exotoxin A and C genes in human isolates of group G streptococci.

Authors:  Awdhesh Kalia; Debra E Bessen
Journal:  FEMS Microbiol Lett       Date:  2003-02-28       Impact factor: 2.742

4.  Replacing and additive horizontal gene transfer in Streptococcus.

Authors:  Sang Chul Choi; Matthew D Rasmussen; Melissa J Hubisz; Ilan Gronau; Michael J Stanhope; Adam Siepel
Journal:  Mol Biol Evol       Date:  2012-05-21       Impact factor: 16.240

5.  Population genetics of Streptococcus dysgalactiae subspecies equisimilis reveals widely dispersed clones and extensive recombination.

Authors:  David J McMillan; Debra E Bessen; Marcos Pinho; Candace Ford; Gerod S Hall; José Melo-Cristino; Mário Ramirez
Journal:  PLoS One       Date:  2010-07-23       Impact factor: 3.240

6.  Natural selection and evolution of streptococcal virulence genes involved in tissue-specific adaptations.

Authors:  Awdhesh Kalia; Debra E Bessen
Journal:  J Bacteriol       Date:  2004-01       Impact factor: 3.490

7.  Genetic relationships deduced from emm and multilocus sequence typing of invasive Streptococcus dysgalactiae subsp. equisimilis and S. canis recovered from isolates collected in the United States.

Authors:  Yusra Ahmad; Robert E Gertz; Zhongya Li; Varja Sakota; Laura N Broyles; Chris Van Beneden; Richard Facklam; P Lynn Shewmaker; Arthur Reingold; Monica M Farley; Bernard W Beall
Journal:  J Clin Microbiol       Date:  2009-04-22       Impact factor: 5.948

8.  RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes.

Authors:  Thomas Brettin; James J Davis; Terry Disz; Robert A Edwards; Svetlana Gerdes; Gary J Olsen; Robert Olson; Ross Overbeek; Bruce Parrello; Gordon D Pusch; Maulik Shukla; James A Thomason; Rick Stevens; Veronika Vonstein; Alice R Wattam; Fangfang Xia
Journal:  Sci Rep       Date:  2015-02-10       Impact factor: 4.379

9.  Systemic Streptococcus dysgalactiae subspecies equisimilis infection in a Yorkshire pig with severe disseminated suppurative meningoencephalomyelitis.

Authors:  Kazufumi Kasuya; Eiji Yoshida; Rieko Harada; Mio Hasegawa; Hiroyuki Osaka; Masaharu Kato; Tomoyuki Shibahara
Journal:  J Vet Med Sci       Date:  2014-01-10       Impact factor: 1.267

10.  High-throughput functional annotation and data mining with the Blast2GO suite.

Authors:  Stefan Götz; Juan Miguel García-Gómez; Javier Terol; Tim D Williams; Shivashankar H Nagaraj; María José Nueda; Montserrat Robles; Manuel Talón; Joaquín Dopazo; Ana Conesa
Journal:  Nucleic Acids Res       Date:  2008-04-29       Impact factor: 16.971

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