Nanopore Sequencing Discloses Compositional Quality of Commercial Probiotic Feed Supplements
Issued Date
2023-12-01
Resource Type
eISSN
20452322
Scopus ID
2-s2.0-85150752334
Pubmed ID
36941307
Journal Title
Scientific Reports
Volume
13
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
Scientific Reports Vol.13 No.1 (2023)
Suggested Citation
Kruasuwan W., Jenjaroenpun P., Arigul T., Chokesajjawatee N., Leekitcharoenphon P., Foongladda S., Wongsurawat T. Nanopore Sequencing Discloses Compositional Quality of Commercial Probiotic Feed Supplements. Scientific Reports Vol.13 No.1 (2023). doi:10.1038/s41598-023-31626-4 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/82111
Title
Nanopore Sequencing Discloses Compositional Quality of Commercial Probiotic Feed Supplements
Other Contributor(s)
Abstract
The market for the application of probiotics as a livestock health improvement supplement has increased in recent years. However, most of the available products are quality-controlled using low-resolution techniques and un-curated databases, resulting in misidentification and incorrect product labels. In this work, we deployed two workflows and compared results obtained by full-length 16S rRNA genes (16S) and metagenomic (Meta) data to investigate their reliability for the microbial composition of both liquid and solid forms of animal probiotic products using Oxford Nanopore long-read-only (without short-read). Our result revealed that 16S amplicon data permits to detect the bacterial microbiota even with the low abundance in the samples. Moreover, the 16S approach has the potential to provide species-level resolution for prokaryotes but not for assessing yeast communities. Whereas, Meta data has more power to recover of high-quality metagenome-assembled genomes that enables detailed exploration of both bacterial and yeast populations, as well as antimicrobial resistance genes, and functional genes in the population. Our findings clearly demonstrate that implementing these workflows with long-read-only monitoring could be applied to assessing the quality and safety of probiotic products for animals and evaluating the quality of probiotic products on the market. This would benefit the sustained growth of the livestock probiotic industry.