ArticleMicrobiologyOpen2025
Improved Sensitivity of Quantitative Polymerase Chain Reaction and Next Generation Sequencing for Detection of Salmonella spp. in Mixed Environmental Communities Using Whole Genome Amplification.
Article in MicrobiologyOpen, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Detecting pathogens in environmental samples using molecular-based technologies can be challenging, particularly in low biomass environments or where pathogens represent a low percentage of the community. Multiple displacement amplification (MDA) is a whole genome amplification (WGA) method that has been developed for low biomass samples. However, there is a lack of information on how MDA could improve PCR and sequence-based detection and genomic characterization of pathogens in challenging environmental samples. In this study, MDA was evaluated on low template samples of the Salmonella LT2 isolate, a foodborne and waterborne environmental pathogen. MDA was also evaluated on a variety of low template mixed-microbial mock, environmental communities containing a range of Salmonella genome percentages to simulate different levels of Salmonella in the environment. Using MDA starting inputs of 1.8 × 10
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