Literature DB >> 28688370

Whole transcriptome RNAseq analysis of Oenococcus oeni reveals distinct intra-specific expression patterns during malolactic fermentation, including genes involved in diacetyl metabolism.

Peter R Sternes1, Peter J Costello1, Paul J Chambers1, Eveline J Bartowsky1, Anthony R Borneman2.   

Abstract

We report the first whole transcriptome RNAseq analysis of the wine-associated lactic acid bacterium Oenococcus oeni using a combination of reference-based mapping and de novo transcript assembly in three distinct strains during malolactic fermentation in Cabernet Sauvignon wine. Two of the strains (AWRIB551 and AWRIB552) exhibited similar transcriptomes relative to the third strain (AWRIB419) which was dissimilar by comparison. Significant intra-specific variation for genes related to glycolysis/gluconeogenesis, purine metabolism, aminoacyl-tRNA biosynthesis, ABC transporters and phosphotransferase systems was observed. Importantly, thirteen genes associated with the production of diacetyl, a commercially valuable aroma and flavour compound, were also found to be differentially expressed between the strains in a manner that correlated positively with total diacetyl production. This included a key strain-specific gene that is predicted to encode a l-lactate dehydrogenase that may enable l-lactic acid to be utilised as a precursor for the production of diacetyl. In conjunction with previous comparative genomic studies of O. oeni, this study progresses the understanding of genetic variations which contribute to the phenotypes of this industrially-important bacterium.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diacetyl; Gene expression; Industrial microbiology; Malolactic fermentation; Oenococcus oeni; RNA sequencing; Transcriptome; Wine

Mesh:

Substances:

Year:  2017        PMID: 28688370     DOI: 10.1016/j.ijfoodmicro.2017.06.024

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


  4 in total

Review 1.  A computational system for identifying operons based on RNA-seq data.

Authors:  Brian Tjaden
Journal:  Methods       Date:  2019-04-04       Impact factor: 3.608

Review 2.  Molecular tools for the analysis of the microbiota involved in malolactic fermentation: from microbial diversity to selection of lactic acid bacteria of enological interest.

Authors:  Gabriel Alejandro Rivas; Danay Valdés La Hens; Lucrecia Delfederico; Nair Olguin; Bárbara Mercedes Bravo-Ferrada; Emma Elizabeth Tymczyszyn; Liliana Semorile; Natalia Soledad Brizuela
Journal:  World J Microbiol Biotechnol       Date:  2022-01-06       Impact factor: 3.312

3.  Functional Verification of the Citrate Transporter Gene in a Wine Lactic Acid Bacterium, Lactiplantibacillus plantarum.

Authors:  Xiangke Yang; Lili Zhao; Qiling Chen; Nan Wang; Kan Shi; Shuwen Liu
Journal:  Front Bioeng Biotechnol       Date:  2022-05-09

4.  Mapping the Physiological Response of Oenococcus oeni to Ethanol Stress Using an Extended Genome-Scale Metabolic Model.

Authors:  Angela Contreras; Magdalena Ribbeck; Guillermo D Gutiérrez; Pablo M Cañon; Sebastián N Mendoza; Eduardo Agosin
Journal:  Front Microbiol       Date:  2018-03-01       Impact factor: 5.640

  4 in total

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