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Poster <strong>Abstracts</strong><br />

diversity. The diversity and evolution of toxinotype<br />

V, NAP7 strains are especially important<br />

because these strains are commonly found<br />

in both food animals and humans and many<br />

questions still remain about the potential role<br />

of food animals in CA-CDI. Understanding the<br />

true diversity within C. difficile toxinotypes<br />

and North American Pulsed-field types is also<br />

essential for discussions regarding appropriate<br />

and standardized typing methods.<br />

n 52<br />

A PATHOGENOMICS APPROACH TO<br />

IMPROVE THE ACCURACY OF VETERINARY<br />

CLINICAL DIAGNOSTICS<br />

S. Das 1 , M. Thomas 1 , A. Pillatzki 1 , L. Holler 1 ,<br />

M. Keena 1 , A. Foley 1 , E. Nelson 1 , J. Christopher-Hennings<br />

1 , H. Suzuki 2 , J. Scaria 1 ;<br />

1<br />

South Dakota State University, Brookings, SD,<br />

2<br />

Yamaguchi University, Yamaguchi, JAPAN.<br />

The recent advances in Next Generation Sequencing<br />

(NGS) technology promise cheap<br />

and fast whole genomic data and offer the<br />

possibility to revolutionize veterinary clinical<br />

diagnostics. It is now possible to improve the<br />

accuracy of clinical diagnostics when pathology<br />

data is combined with NGS based clinical<br />

specimen sequencing. This approach offers<br />

faster results and avoids the need for many<br />

different tests to obtain the final interpretation.<br />

We test such an approach in the clinical<br />

evaluation of Salmonellosis cases in Animal<br />

Disease Research and Diagnostic Laboratory<br />

(ADRDL), South Dakota. All bovine<br />

and swine salmonellosis cases submitted to<br />

ADRDL from September 2014 till date was<br />

included in this study. Salmonella isolates were<br />

identified using standard microbiological protocols.<br />

Further characterization of Salmonella<br />

strains were then performed using NGS. Sequencing<br />

libraries for NGS was prepared using<br />

Illumina Nextera XT kit and the sequencing<br />

was performed using Illumina 2 x 250 base<br />

paired end sequencing chemistry. Genome<br />

assembly of the strains was performed using<br />

Spades Assembler v 3.5.0 and annotated<br />

using Prokka v1.11. Comparative genomic<br />

analysis of the isolates was performed using<br />

ITEP tool kit. Antibiotic resistance gene profile<br />

and virulence gene profile of the isolates was<br />

determined using a custom PERL script. These<br />

results were then combined with pathological<br />

data. This combined approach revealed that in<br />

most cases Salmonella infection was accompanied<br />

by presence of other enteric pathogens<br />

such as rotavirus, Clostridium perfringens,<br />

hemolytic Escherichia coli and porcine epidemic<br />

diarrhea virus. Salmonella enterica serotype<br />

Dublin was found to be associated with<br />

septicemia and colitis in the absence of other<br />

pathogens. Antibiotic resistance gene profile<br />

obtained based NGS data provided further<br />

insights into the possible antibiotic susceptibility/resistance<br />

pattern of the strains.<br />

n 53<br />

QUALITY ASSESSMENT OF SINGLE<br />

NUCLEOTIDE POLYMORPHISM IN THE<br />

HIGHLY CLONAL SALMONELLA ENTERITIDIS<br />

D. Ogunremi;<br />

Canadian Food Inspection Agency, Ottawa,<br />

ON, CANADA.<br />

Single nucleotide polymorphism (SNPs) has<br />

emerged as the most informative genetic<br />

variation for the characterization of the highly<br />

clonal Salmonella Enteritidis (SE) to meet<br />

the goals of epidemiological and evolutionary<br />

investigations. Raw reads, contigs, draft<br />

or polished genomes are used to identify SNP<br />

variants typically by aligning the nucleotide<br />

reads of an isolate to a reference genome.<br />

Two relatively well-assembled genomes can<br />

be compared to determine the number of SNP<br />

variants between them. In addition, referencefree<br />

SNP detection from raw reads has also<br />

been proposed and used. There are limitations<br />

to detecting SNPs from the currently available<br />

software and bioinformatics pipelines<br />

and these include the use of a significantly<br />

disparate reference genome to align raw reads,<br />

sequencing errors, mis-assembly and repeats.<br />

To that end, large scale studies investigating<br />

ASM Conference on Rapid Next-Generation Sequencing and Bioinformatic<br />

Pipelines for Enhanced Molecular Epidemiologic Investigation of Pathogens<br />

75

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