Nanopore-based amplicon sequencing for rapid detection and identification of Bacillus spp. in plant-based products

<i>Bacillus</i> contamination in plant-based food products is a significant concern due to heat-resistant spores that can survive heating and proliferate during storage or handling, possibly leading to foodborne illnesses. Given the potential of high-throughput DNA sequencing to enhance microbial monitoring, we used a targeted approach by combining amplification of the <i>Bacillus tuf</i> gene with Oxford Nanopore sequencing. The ability of the MinION-based protocol to detect and identify closely related <i>Bacillus</i> species was first assessed using plant-based food samples spiked with spore suspensions of five representative <i>Bacillus</i> strains. A DNA extraction method, relying on food enzymatic pre-processing combined with mechanical cell lysis, was implemented to maximize <i>Bacillus</i> spore DNA recovery, and a droplet digital PCR (ddPCR) assay was used to evaluate extraction efficiency. Afterwards, the approach was applied to 72 different commercial plant-based foods and supplements to compare nanopore-based <i>tuf</i> profiling with established nanopore-based 16S rRNA analysis and culture-based methods. ddPCR analysis showed the high efficiency of the DNA extraction procedure for <i>Bacillus</i> spores from spiked samples. Sequencing of the <i>tuf</i> gene with the MinION device successfully differentiated the five different <i>Bacillus</i> species selected as reference strains for the artificial inoculation of food, when the resulting sequences were aligned against the custom-made BacTufDB database. Tests on commercial products confirmed the <i>tuf</i> gene ability (over the 16S rRNA gene) to highlight the presence of <i>Bacillus</i> species: <i>Bacillus</i> and closely related genera were detected in 35 of the tested plant-based products, out of which seven were contaminated by <i>Bacillus cereus</i> group. The study demonstrated that the <i>tuf</i>-based methodology more effectively detects <i>Bacillus</i> species in plant-based products, offering potential applications in food safety and quality control.

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Publication Details

Journal
Frontiers in Microbiology
Published
2025-12-19
DOI
https://doi.org/10.3389/fmicb.2025.1701533
Citations
1
Primary Topic
Bacillus and Francisella bacterial research
Type
article
Field-Weighted Citation Impact
0.81

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article

Nanopore-based amplicon sequencing for rapid detection and identification of Bacillus spp. in plant-based products

1 citations
Frontiers in Microbiology
Bacillus and Francisella bacterial research
0.81
article

Nanopore-based amplicon sequencing for rapid detection and identification of Bacillus spp. in plant-based products

article en
1 citations

Abstract

<i>Bacillus</i> contamination in plant-based food products is a significant concern due to heat-resistant spores that can survive heating and proliferate during storage or handling, possibly leading to foodborne illnesses. Given the potential of high-throughput DNA sequencing to enhance microbial monitoring, we used a targeted approach by combining amplification of the <i>Bacillus tuf</i> gene with Oxford Nanopore sequencing. The ability of the MinION-based protocol to detect and identify closely related <i>Bacillus</i> species was first assessed using plant-based food samples spiked with spore suspensions of five representative <i>Bacillus</i> strains. A DNA extraction method, relying on food enzymatic pre-processing combined with mechanical cell lysis, was implemented to maximize <i>Bacillus</i> spore DNA recovery, and a droplet digital PCR (ddPCR) assay was used to evaluate extraction efficiency. Afterwards, the approach was applied to 72 different commercial plant-based foods and supplements to compare nanopore-based <i>tuf</i> profiling with established nanopore-based 16S rRNA analysis and culture-based methods. ddPCR analysis showed the high efficiency of the DNA extraction procedure for <i>Bacillus</i> spores from spiked samples. Sequencing of the <i>tuf</i> gene with the MinION device successfully differentiated the five different <i>Bacillus</i> species selected as reference strains for the artificial inoculation of food, when the resulting sequences were aligned against the custom-made BacTufDB database. Tests on commercial products confirmed the <i>tuf</i> gene ability (over the 16S rRNA gene) to highlight the presence of <i>Bacillus</i> species: <i>Bacillus</i> and closely related genera were detected in 35 of the tested plant-based products, out of which seven were contaminated by <i>Bacillus cereus</i> group. The study demonstrated that the <i>tuf</i>-based methodology more effectively detects <i>Bacillus</i> species in plant-based products, offering potential applications in food safety and quality control.

Frontiers in MicrobiologyVol. 16
Università Cattolica del Sacro Cuore (IT), University of Verona (IT)
European Commission, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 20%
Bacillus and Francisella bacterial research
0.81
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