Literature DB >> 29146845

Draft Genome Sequences of 23 Salmonella enterica Strains Isolated from Cattle in Ibadan, Nigeria, Representing 21 Salmonella Serovars.

Maria Sanchez Leon1, Kayode Fashae2, George Kastanis3, Marc Allard1.   

Abstract

To provide a better understanding of the diversity of Salmonella enterica, we report the assembled genome sequences of 23 Salmonella enterica strains isolated from fecal samples of cattle in Nigeria comprising 21 different Salmonella serovars.

Entities:  

Year:  2017        PMID: 29146845      PMCID: PMC5690322          DOI: 10.1128/genomeA.01128-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

The taxonomic classification of Salmonella enterica includes more than 2,600 serovars, which subsequently can be divided into typhoidal and nontyphoidal Salmonella (NTS) serovars (1). Typhoidal serovars (S. enterica subsp. enterica serovars Typhi, Sendai, Paratyphi A, Paratyphi B, and Paratyphi C) primarily infect humans, while NTS serovars have a broad spectrum of hosts, such as mammals (including humans), birds, and reptiles (2). Globalization has increased the availability of diverse strains of S. enterica across the world. Consequently, different serovars have crossed borders and emerging antimicrobial resistance (AMR) phenotypes have been described (3), thus presenting the need to study the genotypic diversity of S. enterica serovars. We announce here 23 draft genomes from S. enterica strains isolated from fecal samples of cattle in Nigeria, including genomes from serovars that are not currently available at GenBank, e.g., S. enterica subsp. enterica serovars Agoueve, Marseille, Sundsvall, Takoradi, Ekotedo, Tees, Plymouth, Hato, 47:z4,z23:-, Altendorf, Essen, and Glostrup. Bacterial DNA was extracted from overnight cultures by using the DNeasy blood and tissue kit (Qiagen, Valencia, CA, USA) according to the manufacturer’s instructions. Sequencing libraries were constructed with 0.2 ng/μl of prepared DNA using the Nextera XT DNA library prep kit (Illumina, San Diego, CA, USA). Sequencing was performed on the MiSeq Illumina instrument with the 500-cycle MiSeq reagent V2 kit (2 × 250 bp) following the manufacturer’s guidelines. Raw data were subjected to genome assembly using SPAdes version 3.8 (4), and genome annotation was performed with the NCBI Prokaryotic Genome Annotation Pipeline (PGAP) (5). Salmonella serotyping by whole-genome sequencing was predicted with the SeqSero version 1.0 software tool (6). The NCBI pathogen detection website (https://www.ncbi.nlm.nih.gov/pathogens) and annotation pipeline (5) were queried to extract information regarding AMR genes present in these genomes. In silico multilocus sequence typing (MLST) data were extracted from the Enterobase online tool (http://enterobase.warwick.ac.uk). Salmonella pathogenicity islands (SPIs) were identified using the SPIFinder version 1.0 online tool (https://cge.cbs.dtu.dk/services/SPIFinder). The total lengths of these genomes range from 4.6 to 5.2 Mb, with an average GC content of 52%, and the numbers of contigs range from 25 to 102. The numbers of predicted genes, noncoding RNAs (ncRNAs), tRNAs, and clustered regularly interspaced short palindromic repeat (CRISPR) arrays range from 4,353 to 5,075, 10 to 18, 71 to 82, and 1 to 4, respectively, as previously described for Salmonella genomes (Table 1). In silico MLST analysis shows that each genome belongs to different sequencing types (STs), and 12 of them have not been previously reported. AMR genes were predicted in 6 out of 23 strains, including those encoding chloramphenicol, quinolone, tetracycline, and fosfomycin resistance. Up to seven SPIs were detected in these genomes, including SPI-1, SPI-2, and SPI-4, which encode a predicted type III and type I secretion system.
TABLE 1 

Sequencing metadata and MLST results for 23 Salmonella enterica strains, isolated from cattle in Nigeria

GenBank accession no.No. of coding genes No. of ncRNAsNo. of tRNAsNo. of CRISPR arraysNo. of contigsTotal length (bp)GC content %Predicted subspeciesPredicted serotypeMLSTPredicted AMR genesb
NPMJ000000004,48513772484,616,47852.16entericaJohannesburgST515
NPMI000000004,56515753414,703,00352.2entericaStanleyvilleST2562+
NPMH000000004,55215753344,697,78352.2entericaStanleyvilleST2562+
NPMG000000004,3531376254,535,64252.2entericaEastbourneST414
NPMF000000004,53812742544,743,98152.24entericaAgoueveST3963a
NPME000000004,45210751254,616,38752.21entericaGiveST3969a
NPMD000000004,76118792434,915,73652.2entericaHadarST473
NPMC000000004,5171375464,696,57752.15entericaMarseilleST3966a
NPMB000000004,39011782314,562,44052.2entericaSundsvallST488
NPMA000000004,45710753264,667,94252.12entericaTakoradiST531
NPLZ000000004,44314752424,637,24752.18entericaEkotedoST3968a
NPLY000000004,49212772424,689,63252.14entericaTeesST3955a
NPLX000000004,51013752464,658,07452.22entericaBergenST1279+
NPLW000000004,79912722534,937,23651.96entericaPlymouthST565
NPLV000000004,48811742314,694,33552.19entericaHatoST3997a
NPLU000000004,50811742364,729,80952.16arizonae47:z4,z23:-ST3967a
NPLT000000005,075118241025,266,49251.79entericaAltendorfST3974a+
NPLS000000004,73014711334,876,57852.09entericaDublinST10
NPOH000000004,68712742484,857,62452.19entericaEssenST3964a+
NPLR000000004,48313742394,677,38852.15entericaEalingST2013
NPLQ000000004,57018772334,739,51552.09entericaGlostrupST3961a
NPLP000000004,44211732304,637,67152.18entericaEkotedoST3972a
NPLO000000004,55417752264,762,38652.04entericaCorvallisST3962a+

MLST analysis indicates these genomes belong to new STs.

−, absence of AMR genes; +, occurrence of AMR genes.

Sequencing metadata and MLST results for 23 Salmonella enterica strains, isolated from cattle in Nigeria MLST analysis indicates these genomes belong to new STs. −, absence of AMR genes; +, occurrence of AMR genes. Analysis of these genomes will offer a better understanding of the genomic events responsible for AMR, disease transmission, and pathogenicity of Salmonella enterica.

Accession number(s).

The draft genome sequences reported here have been deposited in DDBJ/EMBL/GenBank under BioProject PRJNA186035. GenBank accession numbers are listed in Table 1.
  6 in total

1.  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

2.  Salmonella serotype determination utilizing high-throughput genome sequencing data.

Authors:  Shaokang Zhang; Yanlong Yin; Marcus B Jones; Zhenzhen Zhang; Brooke L Deatherage Kaiser; Blake A Dinsmore; Collette Fitzgerald; Patricia I Fields; Xiangyu Deng
Journal:  J Clin Microbiol       Date:  2015-03-11       Impact factor: 5.948

3.  Genomic Comparison of the Closely-Related Salmonella enterica Serovars Enteritidis, Dublin and Gallinarum.

Authors:  T David Matthews; Robert Schmieder; Genivaldo G Z Silva; Julia Busch; Noriko Cassman; Bas E Dutilh; Dawn Green; Brian Matlock; Brian Heffernan; Gary J Olsen; Leigh Farris Hanna; Dieter M Schifferli; Stanley Maloy; Elizabeth A Dinsdale; Robert A Edwards
Journal:  PLoS One       Date:  2015-06-03       Impact factor: 3.240

Review 4.  Same species, different diseases: how and why typhoidal and non-typhoidal Salmonella enterica serovars differ.

Authors:  Ohad Gal-Mor; Erin C Boyle; Guntram A Grassl
Journal:  Front Microbiol       Date:  2014-08-04       Impact factor: 5.640

Review 5.  Population mobility, globalization, and antimicrobial drug resistance.

Authors:  Douglas W MacPherson; Brian D Gushulak; William B Baine; Shukal Bala; Paul O Gubbins; Paul Holtom; Marisel Segarra-Newnham
Journal:  Emerg Infect Dis       Date:  2009-11       Impact factor: 6.883

6.  NCBI prokaryotic genome annotation pipeline.

Authors:  Tatiana Tatusova; Michael DiCuccio; Azat Badretdin; Vyacheslav Chetvernin; Eric P Nawrocki; Leonid Zaslavsky; Alexandre Lomsadze; Kim D Pruitt; Mark Borodovsky; James Ostell
Journal:  Nucleic Acids Res       Date:  2016-06-24       Impact factor: 16.971

  6 in total

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