University of Torino, Department of Agricultural, Forest and Food Sciences, Largo Braccini 95, 10095 Grugliasco, Torino, Italy.
Hellenic Agricultural Organization "DIMITRA", Institute of Agricultural Products Technology, Milk Department, Ethnikis Antistaseos 3, 45221 Ioannina, Greece.
Int J Food Microbiol. 2018 Dec 20;287:10-17. doi: 10.1016/j.ijfoodmicro.2017.11.008. Epub 2017 Nov 13.
The development of a multi-omics approach has provided a new approach to the investigation of microbial communities allowing an integration of data, which can be used to better understand the behaviour of and interactions between community members. Metagenomics, metatranscriptomics, metaproteomics and metabolomics have the potential of producing a large amount of data in a very short time, however an important challenge is how to exploit and interpret these data to assist risk managers in food safety and quality decisions. This can be achieved by integrating multi-omics data in microbiological risk assessment. In this paper we identify limitations and challenges of the multi-omics approach, underlining promising potentials, but also identifying gaps, which should be addressed for its full exploitation. A view on how this new way of investigation will impact the traditional microbiology schemes in the food industry is also presented.
多组学方法的发展为研究微生物群落提供了一种新的方法,允许对数据进行整合,从而可以更好地理解群落成员的行为和相互作用。宏基因组学、宏转录组学、宏蛋白质组学和代谢组学有可能在很短的时间内产生大量的数据,然而,一个重要的挑战是如何利用和解释这些数据,以帮助食品安全和质量决策者做出决策。这可以通过在微生物风险评估中整合多组学数据来实现。在本文中,我们确定了多组学方法的局限性和挑战,强调了有前途的潜力,但也确定了需要解决的差距,以充分利用这一方法。本文还探讨了这种新的研究方法将如何影响食品行业的传统微生物学方案。