Sabater Carlos, Cobo-Díaz José F, Álvarez-Ordóñez Avelino, Ruas-Madiedo Patricia, Ruiz Lorena, Margolles Abelardo
Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias-Consejo Superior de Investigaciones Científicas (IPLA-CSIC), Paseo Río Linares s/n, 33300, Villaviciosa, Asturias, Spain.
Functionality and Ecology of Beneficial Microbes (MicroHealth) Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Asturias, Spain.
Int Microbiol. 2021 Nov;24(4):593-605. doi: 10.1007/s10123-021-00215-8. Epub 2021 Oct 23.
The study of the food microbiome has gained considerable interest in recent years, mainly due to the wide range of applications that can be derived from the analysis of metagenomes. Among these applications, it is worth mentioning the possibility of using metagenomic analyses to determine food authenticity, to assess the microbiological safety of foods thanks to the detection and tracking of pathogens, antibiotic resistance genes and other undesirable traits, as well to identify the microorganisms responsible for food processing defects. Metataxonomics and metagenomics are currently the gold standard methodologies to explore the full potential of metagenomes in the food industry. However, there are still a number of challenges that must be solved in order to implement these methods routinely in food chain monitoring, and for the regulatory agencies to take them into account in their opinions. These challenges include the difficulties of analysing foods and food-related environments with a low microbial load, the lack of validated bioinformatics pipelines adapted to food microbiomes and the difficulty of assessing the viability of the detected microorganisms. This review summarizes the methods of microbiome analysis that have been used, so far, in foods and food-related environments, with a specific focus on those involving Next-Generation Sequencing technologies.
近年来,食品微生物组的研究引起了广泛关注,这主要归功于宏基因组分析可带来的广泛应用。在这些应用中,值得一提的是利用宏基因组分析来确定食品的真实性,通过检测和追踪病原体、抗生素抗性基因及其他不良特征来评估食品的微生物安全性,以及识别导致食品加工缺陷的微生物。元分类学和宏基因组学目前是探索食品工业中宏基因组全部潜力的金标准方法。然而,为了在食物链监测中常规实施这些方法,并让监管机构在其意见中考虑这些方法,仍有一些挑战必须解决。这些挑战包括分析微生物负荷低的食品和与食品相关环境的困难、缺乏适用于食品微生物组的经过验证的生物信息学流程,以及评估检测到的微生物生存能力的困难。本综述总结了迄今为止在食品和与食品相关环境中使用的微生物组分析方法,特别关注那些涉及下一代测序技术的方法。