Publications by authors named "Ninalynn Daquigan"

Food microbiome composition impacts food safety and quality. The resident microbiota of many food products is influenced throughout the farm to fork continuum by farming practices, environmental factors, and food manufacturing and processing procedures. Currently, most food microbiology studies rely on culture-dependent methods to identify bacteria.

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Article Synopsis
  • * A high-resolution sequencing method revealed that C. difficile was found in 131 out of 156 CDI cases (1.78% abundance) and in 18 out of 211 healthy controls (0.008% abundance), suggesting significant differences in gut microbiomes between these groups.
  • * The study also noted that high levels of C. difficile persisted in some infants over several months, and that its presence was negatively associated with various other bacterial species in the gut, indicating potential implications
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16S rRNA community profiling continues to be a useful tool to study microbiome composition and dynamics, in part due to advances in next generation sequencing technology that translate into reductions in cost. Reliable taxonomic identification to the species-level, however, remains difficult, especially for short-read sequencing platforms, due to incomplete coverage of the 16S rRNA gene. This is especially true for , which is often found as a low abundant member of the microbial community, and is often found in combination with several other closely related enteric species.

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Culture based methods are commonly employed to detect pathogens in food and environmental samples. These methods are time consuming and complex, requiring multiple non-selective and selective enrichment broths, and usually take at least 1 week to recover and identify pathogens. Improving pathogen detection in foods is a primary goal for regulatory agencies and industry.

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