| Literature DB >> 31294146 |
Jordyn Bergsveinson1, Ilkka Kajala2, Barry Ziola1.
Abstract
Plant-based beverages and milk alternatives produced from cereals and legumes have grown in popularity in recent years due to a range of consumer concerns over dairy products. These plant-based products can often have undesirable physiochemical properties related to flavour, texture, and nutrient availability and/or deficiencies. Lactic acid bacteria (LAB) fermentation offers potential remediation for many of these issues, and allows consumers to retain their perception of the resultant products as natural and additive-free. Using next-generation sequencing (NGS) or omics approaches to characterize LAB isolates to find those that will improve properties of plant-based beverages is the most direct way to product improvement. Although NGS/omics approaches have been extensively used for selection of LAB for use in the dairy industry, a comparable effort has not occurred for selecting LAB for fermenting plant raw substrates, save those used in producing wine and certain types of beer. Here we review the few and recent applications of NGS/omics to profile and improve LAB fermentation of various plant-based substrates for beverage production. We also identify specific issues in the production of various LAB fermented plant-based beverages that such NGS/omics applications have the power to resolve.Entities:
Keywords: beer; cereal; fermentation; fruit juice; genomics; lactic acid bacteria; legume; metagenomics; soy; transcriptomics; wine
Year: 2017 PMID: 31294146 PMCID: PMC6604971 DOI: 10.3934/microbiol.2017.1.8
Source DB: PubMed Journal: AIMS Microbiol ISSN: 2471-1888
Next-generation sequencing/omics approaches.
| Approach | Aim | References1 | |
| Genomics | NGS sequencing of the DNA content of a single organism | To understand the genetic content and coding capacity of a given organism | 17–22, 37, 62, 106 |
| Functional genomics | NGS sequencing or other means of interrogation of specific genes of known function in single organisms and/or a mixed microbial community | To understand the presence and distribution of functional genes or known genetic attributes within isolates or a microbial community | 82, 85 |
| Metagenomics | NGS sequencing of a mixed microbial community via sequencing a specific genetic marker (i.e., 16S rRNA amplicon) or the total DNA content of a community | To understand the composition (what microbial species are present) and complexity of a microbial community. Provides information as to potential metabolic capacity of the community | 28, 39–44, 80, 81, 83, 84 |
| Transcriptomics | NGS sequencing of mRNA transcripts of a single organism growing in a given condition | To understand what genes are expressed and/or required for growth or survival in a given condition | 23–25, 36 |
Examples of papers that have utilized the given NGS/omics approach.