Exploring microbial diversity and functionality in Verdejo wine vinegar fermentation through LC-MS/MS analysis

The identification of microorganisms in vinegar production remains a challenge mainly, due to the difficulty of isolating and characterizing the microbiota involved. This implies that despite progress in understanding the composition and role of these microbial communities, there are still virtually unknown microorganisms in these environments. Metaproteomics reveals microbial diversity and behavior by analysis of proteins, offering precise insights into key moments and conditions in biological processes like acetification. This study consists of a thorough metaproteomic analysis during the elaboration of an innovative vinegar, Verdejo wine vinegar. Acetic acid fermentation occurred by submerged culture in an 8L automated Frings reactor operated in semi-continuous mode. LC-MS/MS identified 1626 proteins from 149 taxonomic groups, mainly Acetobacteraceae (1529), followed by yeast (47), lactic acid bacteria (29), and Archaea (21). Komagataeibacter (73.7%), Acetobacter (10.7%), Gluconacetobacter (1.7%), Novacetimonas (1.6%), and Gluconobacter (1.3%) were prevalent genera, with K. europaeus being the dominant species (56.7%). To our knowledge, this is the first metaproteomic approach to comprehensively address the study of so diverse microbial populations. GO Term analysis emphasized "heterocyclic compound binding" and "organic substance metabolic process", while analysis of protein-protein interactions identified key metabolic processes, such as amino acid biosynthesis, especially BCAAs, and crucial energetic pathways such as the TCA cycle. Stress response mechanisms, such as the dnaK-dnaJ-grpE and cl2p system, have been also highlighted. These analyses revealed the molecular and functional complexity of the acetification process, highlighting the critical importance of diverse metabolic routes in the adaptation of the microbiota members to the medium conditions. Overall, this study aims to characterize the microbiota driving Verdejo wine acetification and explore its composition, functions, and key metabolic processes. • Verdejo wine has been proposed as acetification raw material. • Optimized LC-MS/MS was applied to characterize vinegar microbiota. • The genus Novacetimonas was identified throughout vinegar-making. • Yeast and archaea proteins were detected as minor fractions in the metaproteome. • Proteins were mainly involved in the metabolism of amino acids and stress response.

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Publication Details

Journal
LWT
Published
2024-11-15
DOI
https://doi.org/10.1016/j.lwt.2024.117054
Citations
3
Primary Topic
Fermentation and Sensory Analysis
Type
article
Field-Weighted Citation Impact
1.05

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article

Exploring microbial diversity and functionality in Verdejo wine vinegar fermentation through LC-MS/MS analysis

Juan J. Román‐Camacho, Isidoro García‐García, Teresa García‐Martínez, Juan Carlos Mauricio et al.
3 citations
LWT
Fermentation and Sensory Analysis
1.05
article

Exploring microbial diversity and functionality in Verdejo wine vinegar fermentation through LC-MS/MS analysis

Juan J. Román‐Camacho, Isidoro García‐García, Teresa García‐Martínez, Juan Carlos Mauricio, Inés M. Santos‐Dueñas, Cristina Campos-Vázquez, Roger Consuegra-Rivera
article en
3 citations

Abstract

The identification of microorganisms in vinegar production remains a challenge mainly, due to the difficulty of isolating and characterizing the microbiota involved. This implies that despite progress in understanding the composition and role of these microbial communities, there are still virtually unknown microorganisms in these environments. Metaproteomics reveals microbial diversity and behavior by analysis of proteins, offering precise insights into key moments and conditions in biological processes like acetification. This study consists of a thorough metaproteomic analysis during the elaboration of an innovative vinegar, Verdejo wine vinegar. Acetic acid fermentation occurred by submerged culture in an 8L automated Frings reactor operated in semi-continuous mode. LC-MS/MS identified 1626 proteins from 149 taxonomic groups, mainly Acetobacteraceae (1529), followed by yeast (47), lactic acid bacteria (29), and Archaea (21). Komagataeibacter (73.7%), Acetobacter (10.7%), Gluconacetobacter (1.7%), Novacetimonas (1.6%), and Gluconobacter (1.3%) were prevalent genera, with K. europaeus being the dominant species (56.7%). To our knowledge, this is the first metaproteomic approach to comprehensively address the study of so diverse microbial populations. GO Term analysis emphasized "heterocyclic compound binding" and "organic substance metabolic process", while analysis of protein-protein interactions identified key metabolic processes, such as amino acid biosynthesis, especially BCAAs, and crucial energetic pathways such as the TCA cycle. Stress response mechanisms, such as the dnaK-dnaJ-grpE and cl2p system, have been also highlighted. These analyses revealed the molecular and functional complexity of the acetification process, highlighting the critical importance of diverse metabolic routes in the adaptation of the microbiota members to the medium conditions. Overall, this study aims to characterize the microbiota driving Verdejo wine acetification and explore its composition, functions, and key metabolic processes. • Verdejo wine has been proposed as acetification raw material. • Optimized LC-MS/MS was applied to characterize vinegar microbiota. • The genus Novacetimonas was identified throughout vinegar-making. • Yeast and archaea proteins were detected as minor fractions in the metaproteome. • Proteins were mainly involved in the metabolism of amino acids and stress response.

LWTVol. 213
Universidad Simón Bolívar (CO), University of Córdoba (ES)
Federación Española de Enfermedades Raras, Ministerio de Ciencia e Innovación
Zero hunger
Openalex Percentile: Top 22%
Fermentation and Sensory Analysis
1.05
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