Assessment of Specimen Pooling to Conserve SARS CoV-2 Testing Resources.

Objectives To establish the optimal parameters for group testing of pooled specimens for the detection of SARS-CoV-2. Methods The most efficient pool size was determined to be 5 specimens using a web-based application. From this analysis, 25 experimental pools were created using 50 microliter from one SARS-CoV-2 positive nasopharyngeal specimen mixed with 4 negative patient specimens (50 microliter each) for a total volume of 250 microliter l. Viral RNA was subsequently extracted from each pool and tested using the CDC SARS-CoV-2 RT-PCR assay. Positive pools were consequently split into individual specimens and tested by extraction and PCR. This method was also tested on an unselected group of 60 nasopharyngeal specimens grouped into 12-pools. Results All 25 pools were positive with Cycle threshold (Ct) values within 0 and 5.03 Ct of the original individual specimens. The analysis of 60 specimens determined that two pools were positive followed by identification of two individual specimens among the 60 tested. This testing was accomplished while using 22 extractions/PCR tests, a savings of 38 reactions. Conclusions When the incidence rate of SARS-CoV-2 infection is 10% or less, group testing will result in the saving of reagents and personnel time with an overall increase in testing capability of at least 69%.

Assessment of Specimen Pooling to Conserve SARS CoV-2 Testing Resources.

OBJECTIVES: To establish the optimal parameters for group testing of pooled specimens for the detection of SARS-CoV-2. METHODS: The most efficient pool size was determined to be five specimens using a web-based application. From this analysis, 25 experimental pools were created using 50 µL from one SARS-CoV-2 positive nasopharyngeal specimen mixed with 4 negative patient specimens (50 µL each) for a total volume of 250 µL. Viral RNA was subsequently extracted from each pool and tested using the CDC SARS-CoV-2 RT-PCR assay. Positive pools were consequently split into individual specimens and tested by extraction and PCR. This method was also tested on an unselected group of 60 nasopharyngeal specimens grouped into 12 pools. RESULTS: All 25 pools were positive with cycle threshold (Ct) values within 0 and 5.03 Ct of the original individual specimens. The analysis of 60 specimens determined that 2 pools were positive followed by identification of 2 individual specimens among the 60 tested. This testing was accomplished while using 22 extractions/PCR tests, a savings of 38 reactions. CONCLUSIONS: When the incidence rate of SARS-CoV-2 infection is 10% or less, group testing will result in the saving of reagents and personnel time with an overall increase in testing capability of at least 69%.

Genome Sequences of Uncommon Shiga Toxin-Producing Escherichia coli Serotypes.

Shiga toxin-producing Escherichia coli (STEC) is a foodborne disease with worldwide outbreaks. STEC serotypes O157, O26, O45, O103, O111, O121, and O145 cause the most outbreaks. There is little published information regarding the other serotypes. We report the draft genome sequences for 11 uncommon STEC serotypes from Nebraska.

Genome Sequence of a Salmonella enterica subsp. enterica Serovar Corvallis Strain Isolated from Human Blood.

Salmonella enterica subsp. enterica serovar Corvallis is commonly reported in avian populations and avian by-products. We report the draft genome sequence of a multidrug-resistant S. Corvallis strain (NPHL 15376). To our knowledge, this is the first reported case of this serovar isolated from human blood in the United States.

Genome Sequences of Multidrug-Resistant Salmonella enterica Serovar Dublin Isolates.

Salmonella enterica serovar Dublin, which can cause enteritis and systemic infections in humans, has been associated with antimicrobial resistance. Here, we report draft genome sequences of seven multidrug-resistant S Dublin isolates from human samples. These sequences will contribute to an understanding of pathogenesis and resistance determinants in this serovar.

Whole genome sequencing to characterize shiga toxin-producing Escherichia coli O26 in a public health setting.

BACKGROUND: Shiga-toxin producing Escherichia coli (STEC) O26:H11 is the second most common cause of severe diarrhea and hemolytic uremic syndrome worldwide. The implementation of whole genome sequencing (WGS) enhances the detection and in-depth characterization of these non-O157 STEC strains. The aim of this study was to compare WGS to phenotypic serotyping and pulse field gel electrophoresis (PFGE) for characterization of STECO26 strains following a zoonotic outbreak from cattle to humans. METHODS AND RESULTS: This study evaluated seven E. coli strains; two strains isolated from two children with gastrointestinal symptoms and five strains from five calves suspected as the source of infection. Six of these isolates were serotyped phenotypically and by WGS as E. coli O26:H11 while one bovine isolate could be serotyped only by WGS as E. coli O182:H25. Stx1 was detected in two human- and two bovine-isolates using PCR and WGS. Using WGS, all four STECO26 isolates belong to sequence type (ST) 21 while the two stx1 negative E. coli O26 were ST29. All four STECO26 isolates were indistinguishable by PFGE. However, the data generated by WGS linked the two human STECO26 isolates to only one bovine STECO26 strain by having identical high-quality single nucleotide polymorphisms (hqSNPs) and identical virulence factor profiles while the remaining bovine STECO26 isolate differed by 7 hqSNPs and lacked virulence factor toxB. CONCLUSIONS: These data demonstrated that WGS provided significant information beyond traditional epidemiological tools allowing for comprehensive characterization of the STEC. Using this approach, WGS was able to identify the specific source of infection in this study.