D'aes Jolien, Fraiture Marie-Alice, Bogaerts Bert, Van Laere Yari, De Keersmaecker Sigrid C J, Roosens Nancy H C, Vanneste Kevin
Sciensano, Transversal activities in Applied Genomics (TAG), J. Wytsmanstraat 14, 1050 Brussels, Belgium.
UGent, Department of Plant Biotechnology & Bioinformatics, Technologiepark 71 9052 Zwijnaarde, Belgium.
Food Chem (Oxf). 2024 Dec 24;10:100236. doi: 10.1016/j.fochms.2024.100236. eCollection 2025 Jun.
Genetically modified microorganisms (GMM) are frequently employed for the production of microbial fermentation products such as food enzymes. Although presence of the GMM or its recombinant DNA in the final product is not authorized, contaminations occur frequently. Insight into the contamination source of a GMM is of crucial importance to allow the competent authorities to take appropriate action. The aim of this study was to explore the feasibility of a metagenomic shotgun sequencing approach to investigate microbial contamination in fermentation products, focusing on source tracing of GMM strains using innovative strain deconvolution and phylogenomic approaches. In most cases, analysis of 16 GMM-contaminated food enzyme products supported finding the same GM producer strains in different products, while often multiple GMM contaminations per product were detected. Presence of AMR genes in the samples was strongly associated with GMM contamination, emphasizing the potential public health risk. Additionally, a variety of other microbial contaminations were detected, identifying a group of samples with a conspicuously similar contamination profile, which suggested that these samples originated from the same production facility or batch. Together, these findings highlight the need for guidelines and quality control for traceability of these products to ensure the safety of consumers. This study demonstrates the added value of metagenomics to obtain insight in the microbial contamination profiles, as well as their underlying relationships, in commercial microbial fermentation products. The proposed approach may be applied to other types of microbial fermentation products and/or to other (genetically modified) producer strains.
转基因微生物(GMM)经常被用于生产微生物发酵产品,如食品酶。尽管最终产品中不允许存在GMM或其重组DNA,但污染却频繁发生。深入了解GMM的污染源对于主管当局采取适当行动至关重要。本研究的目的是探索宏基因组鸟枪法测序方法用于调查发酵产品中微生物污染的可行性,重点是使用创新的菌株解卷积和系统发育基因组学方法追踪GMM菌株的来源。在大多数情况下,对16种受GMM污染的食品酶产品的分析支持在不同产品中发现相同的转基因生产菌株,同时通常每个产品检测到多种GMM污染。样品中抗菌药物耐药(AMR)基因的存在与GMM污染密切相关,强调了潜在的公共卫生风险。此外,还检测到了多种其他微生物污染,识别出一组污染特征明显相似的样品,这表明这些样品来自同一生产设施或批次。总之,这些发现凸显了制定这些产品可追溯性指南和质量控制的必要性,以确保消费者安全。本研究证明了宏基因组学在了解商业微生物发酵产品中微生物污染特征及其潜在关系方面的附加价值。所提出的方法可应用于其他类型的微生物发酵产品和/或其他(转基因)生产菌株。