Literature DB >> 29803134

Metagenomic and metatranscriptomic analysis of the microbial community in Swiss-type Maasdam cheese during ripening.

Ilhan Cem Duru1, Pia Laine2, Margarita Andreevskaya2, Lars Paulin2, Soila Kananen3, Soile Tynkkynen3, Petri Auvinen2, Olli-Pekka Smolander2.   

Abstract

In Swiss-type cheeses, characteristic nut-like and sweet flavor develops during the cheese ripening due to the metabolic activities of cheese microbiota. Temperature changes during warm and cold room ripening, and duration of ripening can significantly change the gene expression of the cheese microbiota, which can affect the flavor formation. In this study, a metagenomic and metatranscriptomic analysis of Swiss-type Maasdam cheese was performed on samples obtained during ripening in the warm and cold rooms. We reconstructed four different bacterial genomes (Lactococcus lactis, Lactobacillus rhamnosus, Lactobacillus helveticus, and Propionibacterium freudenreichii subsp. shermanii strain JS) from the Maasdam cheese to near completeness. Based on the DNA and RNA mean coverage, Lc. lactis strongly dominated (~80-90%) within the cheese microbial community. Genome annotation showed the potential for the presence of several flavor forming pathways in these species, such as production of methanethiol, free fatty acids, acetoin, diacetyl, acetate, ethanol, and propionate. Using the metatranscriptomic data, we showed that, with the exception of Lc. lactis, the central metabolism of the microbiota was downregulated during cold room ripening suggesting that fewer flavor compounds such as acetoin and propionate were produced. In contrast, Lc. lactis genes related to the central metabolism, including the vitamin biosynthesis and homolactic fermentation, were upregulated during cold room ripening.
Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cheese microbiota; Flavor formation; Metagenomics; Metatranscriptomics; Swiss-type cheese

Mesh:

Year:  2018        PMID: 29803134     DOI: 10.1016/j.ijfoodmicro.2018.05.017

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  12 in total

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