O'Donnell Shane Thomas, Ross R Paul, Stanton Catherine
Teagasc Food Research Centre, Moorepark, Fermoy, Ireland.
Department of Microbiology, University College Cork - National University of Ireland, Cork, Ireland.
Front Microbiol. 2020 Jan 28;10:3084. doi: 10.3389/fmicb.2019.03084. eCollection 2019.
Lactic Acid Bacteria (LAB) have long been recognized as having a significant impact ranging from commercial to health domains. A vast amount of research has been carried out on these microbes, deciphering many of the pathways and components responsible for these desirable effects. However, a large proportion of this functional information has been derived from a reductionist approach working with pure culture strains. This provides limited insight into understanding the impact of LAB within intricate systems such as the gut microbiome or multi strain starter cultures. Whole genome sequencing of strains and shotgun metagenomics of entire systems are powerful techniques that are currently widely used to decipher function in microbes, but they also have their limitations. An available genome or metagenome can provide an image of what a strain or microbiome, respectively, is potentially capable of and the functions that they may carry out. A top-down, multi-omics approach has the power to resolve the functional potential of an ecosystem into an image of what is being expressed, translated and produced. With this image, it is possible to see the real functions that members of a system are performing and allow more accurate and impactful predictions of the effects of these microorganisms. This review will discuss how technological advances have the potential to increase the yield of information from genomics, transcriptomics, proteomics and metabolomics. The potential for integrated omics to resolve the role of LAB in complex systems will also be assessed. Finally, the current software approaches for managing these omics data sets will be discussed.
乳酸菌(LAB)长期以来被认为在从商业到健康领域都有着重大影响。针对这些微生物已经开展了大量研究,解析了许多产生这些理想效果的途径和成分。然而,这些功能信息很大一部分来自于对纯培养菌株的简化研究方法。这对于理解乳酸菌在诸如肠道微生物群或多菌株发酵剂培养等复杂系统中的影响提供的见解有限。菌株的全基因组测序和整个系统的鸟枪法宏基因组学是目前广泛用于解析微生物功能的强大技术,但它们也有局限性。可用的基因组或宏基因组可以分别提供菌株或微生物群可能具备的能力以及它们可能执行的功能的图像。自上而下的多组学方法有能力将生态系统的功能潜力解析为正在表达、翻译和产生的物质的图像。通过这一图像,可以看到系统成员正在执行的实际功能,并对这些微生物的影响进行更准确、更有影响力的预测。本综述将讨论技术进步如何有可能提高从基因组学、转录组学、蛋白质组学和代谢组学中获取的信息量。还将评估整合组学解析乳酸菌在复杂系统中作用的潜力。最后,将讨论目前用于管理这些组学数据集的软件方法。