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The underestimation of Shigella species as a cause of childhood diarrhea disease has become increasingly apparent with quantitative PCR (qPCR)-based diagnostic methods versus culture. We sought to confirm qPCR-based detection of Shigella via a metagenomics approach. Three groups of samples were selected from diarrheal cases from the Global Enteric Multicenter Study: nine Shigella culture-positive and qPCR-positive (culture + qPCR + ) samples, nine culture-negative but qPCR-positive (culture − qPCR + ) samples, and nine culture-negative and qPCR-negative (culture − qPCR − ) samples. Fecal DNA was sequenced using paired-end Illumina HiSeq, whereby 3.26 × 10 8 ± 5.6 × 10 7 high-quality reads were generated for each sample. We used Kraken software to compare the read counts specific to “ Shigella ” among the three groups. The proportions of Shigella -specific nonhuman sequence reads between culture + qPCR + (0.65 ± 0.42%) and culture − qPCR + (0.55 ± 0.31%) samples were similar (Mann-Whitney U test, P = 0.627) and distinct from the culture − qPCR − group (0.17 ± 0.15%, P < 0.05). The read counts of sequences previously targeted by Shigella/ enteroinvasive Escherichia coli (EIEC) qPCR assays, namely, ipaH , virA , virG , ial , ShET2 , and ipaH3 , were also similar between the culture + qPCR + and culture − qPCR + groups and distinct from the culture − qPCR − groups ( P < 0.001). Kraken performed well versus other methods: its precision and recall of Shigella were excellent at the genus level but variable at the species level. In summary, metagenomic sequencing indicates that Shigella /EIEC qPCR-positive samples are similar to those of Shigella culture-positive samples in Shigella sequence composition, thus supporting qPCR as an accurate method for detecting Shigella .
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Liu et al. (2017) studied this question.
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