Literature DB >> 30533758

Draft Genome Sequences of 57 Salmonella enterica Strains from Selected U.S. Swine Feed Mills.

Sara Lomonaco1, Gabriela Magossi2, Maria Sanchez Leon1, Daniela Miller1, George J Kastanis1, Sandra M Tallent1, Marc W Allard1, Eric W Brown1, Valentina Trinetta2.   

Abstract

The number of Salmonella infection cases linked to pork products has increased. Pathogen presence in the feed mill environment is one of the many potential transmission routes into the food production chain. Here, we describe the draft genome sequences of 57 Salmonella enterica isolates from selected U.S. swine feed mills.

Entities:  

Year:  2018        PMID: 30533758      PMCID: PMC6256493          DOI: 10.1128/MRA.01191-18

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


ANNOUNCEMENT

Salmonella enterica, one of the most important pathogens in the food industry, is the leading cause of bacterial foodborne disease in the United States (1). While the impact on human health alone is enormous, there are also substantial economic repercussions of Salmonella outbreaks across the food industry. Therefore, it is important to have molecular typing data for well-characterized isolates from various sources. Whole-genome sequencing (WGS) has been increasingly used to characterize food and clinical Salmonella isolates (2). Here, we describe the draft genome sequences of 57 S. enterica isolates collected during 2016 and 2017 from 11 U.S. swine feed mills (from 8 U.S. states) producing mash feed and/or pelleted feed (3). Within each mill, 12 sites were sampled, as follows: floor surfaces (n = 5), equipment (n = 4), brooms (n = 1), worker shoes (n = 1), and finished feed (n = 1). Samples were analyzed following the USDA Food Safety and Inspection Service (USDA-FSIS) guidelines (4), and identification was confirmed by PCR (5). Overnight tryptone soy broth cultures of positive isolates were subjected to DNA extraction using the DNeasy blood and tissue kit (Qiagen, Hilden, Germany). Paired-end DNA libraries were prepared with the Nextera XT DNA library preparation kit, and WGS was carried out on either a MiSeq or NextSeq sequencer, using a 500-cycle MiSeq reagent V2 kit or a 300-cycle NextSeq 500/550 high-output V2 kit, respectively (Illumina, San Diego, CA). Unless otherwise noted, default parameters were used in all analyses. De novo genome assemblies were obtained with the Shovill pipeline version 0.9 (https://github.com/tseemann/shovill), available in the GalaxyTrakr pipeline (https://www.galaxytrakr.org; see reference 6). The “trim reads” option was selected, and 500 bp was set as the minimum contig length. ResFinder and SPIFinder from the Center for Genomic Epidemiology were used to identify antibiotic resistance (AMR) genes and Salmonella pathogenicity islands (SPIs) in the draft genomes, respectively (https://cge.cbs.dtu.dk/services/). Draft genomes were annotated using the NCBI’s Prokaryotic Genome Annotation Pipeline (7). Salmonella serotypes were predicted from draft genomes with SeqSero 1.0 (http://www.denglab.info/SeqSero; see reference 8). Draft genomes ranged between 4,484,198 and 5,116,995 Mb in size, with 52% average GC content. The number of contigs for each isolate ranged from 29 to 86. The isolates belonged to 15 different serotypes, namely, Salmonella enterica serotypes Agona (n = 14), Mbandaka (n = 13), Senftenberg (n = 7), Schwarzengrund (n = 6), Rissen (n = 3), and Hartford and Typhimurium (n = 2 each). Nine serotypes were observed in only one isolate each, Salmonella enterica serotypes Bareilly, Braenderup, Cubana, Javiana, Kiambu, Poona, Soerenga, Worthington, and the potential monophasic variant of S. enterica serotype Typhimurium (I 4,[5],12:i:−). AMR genes were detected in 30 out of 57 strains, including those encoding tetracycline, phenicol, aminoglycoside, and beta-lactam resistance. Up to 12 SPIs were detected in these genomes, including SPI-1, SPI-2 and SPI-4, which encode predicted type I and type III secretion systems (9). The described draft genome sequences will be useful in comparative genomic analyses of S. enterica from the pork production chain in terms of phylogenetic insights into their evolution and support of further epidemiological investigations of outbreaks.

Data availability.

This whole-genome shotgun project has been deposited in DDBJ/ENA/GenBank under accession numbers QUTN00000000 to QUVQ00000000 and QUZX00000000 (Table 1). The first versions (QUTN01000000 to QUVQ01000000 and QUZX01000000) are described here.
TABLE 1

Metadata for the 57 Salmonella enterica strains isolated from different feed mills in the United States between 2016 and 2017

Sample identifierBioSample no.Run no.Accession no.No. of contigsTotal length (bp)N50 (bp)GC content (%)Genome coverage (×)
CFSAN071932SAMN08057838SRR6959189QUTN00000000525,012,146260,77051.871
CFSAN071933SAMN08057839SRR6959212QUTO00000000495,010,824235,30951.891
CFSAN071934SAMN08057843SRR6957504QUTP00000000495,010,127260,94551.889
CFSAN071935SAMN08057815SRR6957525QUTQ00000000865,116,995271,07852.1135
CFSAN071936SAMN08057823SRR6959053QUTR00000000564,974,144235,29751.8123
CFSAN071937SAMN08057820SRR6959057QUTS00000000394,780,443292,43652.1148
CFSAN071938SAMN08057858SRR6959072QUTT00000000434,782,578268,28352.1133
CFSAN071940SAMN08057866SRR6959115QUTU00000000414,484,295381,54652.2112
CFSAN071941SAMN08057869SRR6958537QUTV00000000394,484,198381,54652.2139
CFSAN071943SAMN08057863SRR7545387QUTW00000000364,943,381341,41151.8135
CFSAN071944SAMN08057865SRR6957683QUTX00000000564,797,481381,07652.2139
CFSAN071945SAMN08057879SRR6959319QUTY00000000614,689,856236,67352.1127
CFSAN071946SAMN08057880SRR6959315QUTZ00000000454,973,164389,98352139
CFSAN071947SAMN08057876SRR6959018QUUA00000000394,974,888390,02152154
CFSAN071948SAMN08057877SRR6959052QUUB00000000434,672,093235,29752.274
CFSAN071949SAMN08057888SRR6958605QUUC00000000404,974,485412,89952140
CFSAN071950SAMN08057887SRR6958972QUUD00000000504,971,687317,51252127
CFSAN071951SAMN08057883SRR6957691QUUE00000000394,978,782412,7455251
CFSAN071952SAMN08057882SRR6959190QUUF00000000424,830,818401,04952.2186
CFSAN071953SAMN08057886SRR6959322QUUG00000000534,689,837278,57352.1164
CFSAN071954SAMN08057885SRR6959202QUUH00000000294,780,916408,17152164
CFSAN071955SAMN08057836SRR6959274QUUI00000000334,707,452389,54552.1125
CFSAN071956SAMN08057825SRR6958149QUUJ00000000584,696,591245,41052.1160
CFSAN071957SAMN08057821SRR6958145QUUK00000000604,696,272259,97152.1181
CFSAN071958SAMN08057819SRR6958473QUUL00000000574,690,445259,96852.1182
CFSAN071959SAMN08057816SRR6958470QUUM00000000594,690,960235,29752.1187
CFSAN071960SAMN08057868SRR6958115QUUN00000000454,813,521322,24052.2187
CFSAN071961SAMN08057881SRR6956165QUUO00000000394,781,312440,05952.1177
CFSAN071964SAMN08057864SRR6957524QUUP00000000384,721,388363,87152.1127
CFSAN071965SAMN08057889SRR6957526QUUQ00000000744,978,222214,01352.1133
CFSAN071966SAMN08057809SRR6957442QUUR00000000784,980,304214,01352.1134
CFSAN071967SAMN08057806SRR6956728QUUS00000000674,936,335146,40652.1117
CFSAN071968SAMN08057804SRR6956712QUUT00000000354,708,769437,08852.3148
CFSAN071969SAMN08057824SRR6956669QUUU00000000464,780,193267,61052.1144
CFSAN071970SAMN08057822SRR6651925QUUV00000000324,829,698447,18952.1175
CFSAN071971SAMN08057833SRR6653453QUUW00000000344,827,673447,72152.1182
CFSAN071972SAMN08057832SRR6653448QUUX00000000414,760,816280,94752156
CFSAN071973SAMN08057831SRR6651923QUUY00000000555,010,453350,21351.8143
CFSAN071974SAMN08057842SRR6653464QUUZ00000000544,994,979307,96751.8146
CFSAN071975SAMN08057848SRR6653465QUVA00000000514,994,206307,96751.8125
CFSAN071976SAMN08057856SRR6654229QUVB00000000484,994,668360,16451.8194
CFSAN071977SAMN08057857SRR6654195QUVC00000000474,995,733329,06551.8212
CFSAN071978SAMN08057853SRR6654125QUVD00000000555,008,977350,30651.8189
CFSAN071979SAMN08057849SRR6654123QUVE00000000504,996,561307,96751.8181
CFSAN071980SAMN08057850SRR6651152QUVF00000000505,007,268307,96751.8231
CFSAN071981SAMN08057847SRR6651155QUVG00000000565,009,733307,96751.8208
CFSAN071982SAMN08057855SRR6651156QUVH00000000494,994,374360,16451.8228
CFSAN071983SAMN08057854SRR6650949QUVI00000000504,995,973307,79351.8227
CFSAN071984SAMN08057851SRR6650951QUVJ00000000545,008,558350,21351.8143
CFSAN071985SAMN08057871SRR6651157QUVK00000000525,010,076328,17651.8164
CFSAN071986SAMN08057870SRR6650950QUVL00000000555,008,380307,96751.8129
CFSAN071990SAMN08057875SRR6958062QUVM00000000414,745,986454,04952.2110
CFSAN071991SAMN08057874SRR6957337QUVN00000000514,835,035246,70052.148
CFSAN071992SAMN08057873SRR7771352QUVO00000000474,843,802262,14452.188
CFSAN071993SAMN08057805SRR6958582QUVP00000000374,794,792281,6965274
CFSAN071994SAMN08057807SRR6957350QUVQ00000000394,794,849276,96452128
CFSAN074091SAMN09695778SRR7545388QUZX00000000414,974,987412,33152322
Metadata for the 57 Salmonella enterica strains isolated from different feed mills in the United States between 2016 and 2017
  7 in total

1.  A multiplex real-time PCR assay, based on invA and pagC genes, for the detection and quantification of Salmonella enterica from cattle lymph nodes.

Authors:  Jianfa Bai; Valentina Trinetta; Xiaorong Shi; Lance W Noll; Gabriela Magossi; Wanglong Zheng; Elizabeth P Porter; Natalia Cernicchiaro; David G Renter; Tiruvoor G Nagaraja
Journal:  J Microbiol Methods       Date:  2018-04-03       Impact factor: 2.363

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

Review 3.  Practical Value of Food Pathogen Traceability through Building a Whole-Genome Sequencing Network and Database.

Authors:  Marc W Allard; Errol Strain; David Melka; Kelly Bunning; Steven M Musser; Eric W Brown; Ruth Timme
Journal:  J Clin Microbiol       Date:  2016-03-23       Impact factor: 5.948

4.  Variation between pathogenic serovars within Salmonella pathogenicity islands.

Authors:  P Amavisit; D Lightfoot; G F Browning; P F Markham
Journal:  J Bacteriol       Date:  2003-06       Impact factor: 3.490

5.  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

6.  Evaluation of Salmonella presence in selected United States feed mills.

Authors:  Gabriela Magossi; Natalia Cernicchiaro; Steve Dritz; Terry Houser; Jason Woodworth; Cassandra Jones; Valentina Trinetta
Journal:  Microbiologyopen       Date:  2018-08-29       Impact factor: 3.139

7.  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

  7 in total
  1 in total

Review 1.  Reviewing the risk of feed as a vehicle for swine pathogen transmission.

Authors:  Cassandra K Jones; Jason Woodworth; Steve S Dritz; Chad B Paulk
Journal:  Vet Med Sci       Date:  2019-12-18
  1 in total

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