SRA STUDY
SRA Study Id ERP122763  (Link to NCBI )
Study Title Microbiome-based environmental monitoring of a dairy processing facility using Oxford Nanopore Technologies rapid MinION sequencing as well as Illumina based sequencing
SRA Experiments
SRA Experiment Id ERX4520348  (Link to NCBI )
Experiment Title MinION sequencing
Exp Library Strategy OTHER
Library Source METAGENOMIC
Library Selection RANDOM
Library Name Mock1_WMGS
Library Layout SINGLE
Library Instrument MIN_ION
   
SRA Experiment Id ERX4520352  (Link to NCBI )
Experiment Title MinION sequencing
Exp Library Strategy OTHER
Library Source METAGENOMIC
Library Selection RANDOM
Library Name Nov_MinION_12samples_take2
Library Layout SINGLE
Library Instrument MIN_ION
   
SRA Experiment Id ERX4520353  (Link to NCBI )
Experiment Title MinION sequencing
Exp Library Strategy OTHER
Library Source METAGENOMIC
Library Selection RANDOM
Library Name Nov_MinION_12samples_powercut
Library Layout SINGLE
Library Instrument MIN_ION
   
SRA Experiment Id ERX4520350  (Link to NCBI )
Experiment Title MinION sequencing
Exp Library Strategy OTHER
Library Source METAGENOMIC
Library Selection RANDOM
Library Name Dec_MinION_12samples_take2
Library Layout SINGLE
Library Instrument MIN_ION
   
SRA Experiment Id ERX4520351  (Link to NCBI )
Experiment Title MinION sequencing
Exp Library Strategy OTHER
Library Source METAGENOMIC
Library Selection RANDOM
Library Name Dec_MinION_12samples_powercut
Library Layout SINGLE
Library Instrument MIN_ION
Study Abstract Food processing environments can harbor microorganisms responsible for food spoilage or foodborne disease. Efficient and accurate identification of microorganisms throughout the food chain can allow the identification of sources of contamination and the implementation of control measures. Currently, microbial monitoring of the food chain relies heavily on culture-based techniques. These assays are selected on the basis of the microbes expected to be present in the environment, and thus do not cater for unexpected contaminants. Many culture-based assays are also unable to distinguish between undesirable taxa and closely related harmless species. Furthermore, even when multiple culture-based approaches are used in parallel, it is still not possible a comprehensively characterize the entire microbiology of a food-chain sample. High throughput DNA sequencing represents a potential means through which microbial monitoring of the food chain can be enhanced. While sequencing platforms, such as the Illumina MiSeq, NextSeq and NovaSeq, are most typically found in research or commercial sequencing laboratories, newer portable platforms, such as the Oxford Nanopore Technologies (ONT) MinION, offer the potential for rapid analysis of food chain microbiomes. In this study, having initially assessed the ability of rapid MinION-based sequencing to discriminate between different components of a simple mock metagenomic mixture of related food spoilage, spore-forming microorganisms, we proceeded to compare outcomes from ONT and Illumina sequencing of metagenomic DNA obtained from environmental monitoring in an active food processing facility. Overall, ONT MinION sequencing provided accurate classification to species level, which was comparable to Illumina-derived outputs. However, while the MinION-based approach provided a means of easy library preparations and portability, the high concentrations of DNA needed to run the rapid sequencing protocols can be a limiting factor, requiring the random amplification of template DNA in order to generate sufficient material for analysis.
Alias ena-STUDY-TEAGASC FOOD RESEARCH CENTRE-06-07-2020-16:28:52:944-1371
External Id BioProject=PRJEB39267