Multi-platform metagenomic characterization of the microbial community during spontaneous cacao fermentation

Cacao fermentation is a spontaneous process in which microorganisms play a key role in the development of distinctive chocolate flavors. The microbiota acting during cacao fermentation has been routinely characterized by culture-based techniques and next-generation sequencing using Illumina's platform. However, the potential of <i>in situ</i> sequencing technologies to monitor microbial dynamics during cacao fermentation has not been assessed. In this study, cacao bean samples were collected at 0, 24, 48, 72, and 96 h after the start of the fermentation. Total DNA was extracted, and sequencing libraries were prepared for further sequencing using Illumina's and Nanopore's MinION sequencing platforms. Additionally, microorganisms were isolated using traditional culture-based methods. At the order and family taxonomic levels, Illumina and MinION sequencing revealed similar microbial composition in the samples. However, discrepancies were observed at the genus and species levels. In this sense, Illumina sequencing revealed a predominance of <i>Limosilactobacillus</i>, <i>Levilactobacillus</i>, <i>Lactiplantibacillus, Frauteria</i>, <i>Saccharomyces</i> and <i>Acetobacter</i>, while MinION sequencing showed a prevalence of <i>Escherichia</i>, <i>Salmonella</i>, <i>Liquorilactobacillus</i>, <i>Lentilactobacillus</i>, <i>Acetobacter</i> and <i>Komagataeibacter</i> during fermentation. The three methods were consistent in detecting the major yeast (<i>Saccharomyces cerevisiae</i>), lactic acid bacteria (<i>Lactiplantibacillus plantarum</i>, <i>Leuconostoc pseudomesenteroides</i>, <i>Levilactobacillus brevis</i>, <i>Liquorilactobacillus mali</i>, and <i>Lentilactobacillus hilgardii</i>) and acetic acid bacteria (<i>Acetobacter pasteurianus</i>) species during fermentation. Functional analysis based on a hybrid assembly of Illumina and MinION data revealed the roles of lactic acid bacteria and acetic acid bacteria in the metabolism of carbohydrates, amino acids, and secondary metabolites such as polyphenols and theobromine. This study represents the first report assessing the applicability of MinION sequencing for the characterization of microbial populations during cacao fermentation, demonstrating its potential as a complementary tool to established sequencing platforms.

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Publication Details

Journal
Frontiers in Bioengineering and Biotechnology
Published
2025-08-26
DOI
https://doi.org/10.3389/fbioe.2025.1630515
Citations
1
Primary Topic
Food Chemistry and Fat Analysis
Type
article
Field-Weighted Citation Impact
1.16
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article

Multi-platform metagenomic characterization of the microbial community during spontaneous cacao fermentation

Juan Manuel Cevallos‐Cevallos, Mirian Villavicencio-Vásquez, Joel Tigrero-Vaca, Jonathan Coronel-León
1 citations
Frontiers in Bioengineering and Biotechnology
Food Chemistry and Fat Analysis
1.16
article

Multi-platform metagenomic characterization of the microbial community during spontaneous cacao fermentation

Juan Manuel Cevallos‐Cevallos, Mirian Villavicencio-Vásquez, Joel Tigrero-Vaca, Jonathan Coronel-León
article en
1 citations

Abstract

Cacao fermentation is a spontaneous process in which microorganisms play a key role in the development of distinctive chocolate flavors. The microbiota acting during cacao fermentation has been routinely characterized by culture-based techniques and next-generation sequencing using Illumina's platform. However, the potential of <i>in situ</i> sequencing technologies to monitor microbial dynamics during cacao fermentation has not been assessed. In this study, cacao bean samples were collected at 0, 24, 48, 72, and 96 h after the start of the fermentation. Total DNA was extracted, and sequencing libraries were prepared for further sequencing using Illumina's and Nanopore's MinION sequencing platforms. Additionally, microorganisms were isolated using traditional culture-based methods. At the order and family taxonomic levels, Illumina and MinION sequencing revealed similar microbial composition in the samples. However, discrepancies were observed at the genus and species levels. In this sense, Illumina sequencing revealed a predominance of <i>Limosilactobacillus</i>, <i>Levilactobacillus</i>, <i>Lactiplantibacillus, Frauteria</i>, <i>Saccharomyces</i> and <i>Acetobacter</i>, while MinION sequencing showed a prevalence of <i>Escherichia</i>, <i>Salmonella</i>, <i>Liquorilactobacillus</i>, <i>Lentilactobacillus</i>, <i>Acetobacter</i> and <i>Komagataeibacter</i> during fermentation. The three methods were consistent in detecting the major yeast (<i>Saccharomyces cerevisiae</i>), lactic acid bacteria (<i>Lactiplantibacillus plantarum</i>, <i>Leuconostoc pseudomesenteroides</i>, <i>Levilactobacillus brevis</i>, <i>Liquorilactobacillus mali</i>, and <i>Lentilactobacillus hilgardii</i>) and acetic acid bacteria (<i>Acetobacter pasteurianus</i>) species during fermentation. Functional analysis based on a hybrid assembly of Illumina and MinION data revealed the roles of lactic acid bacteria and acetic acid bacteria in the metabolism of carbohydrates, amino acids, and secondary metabolites such as polyphenols and theobromine. This study represents the first report assessing the applicability of MinION sequencing for the characterization of microbial populations during cacao fermentation, demonstrating its potential as a complementary tool to established sequencing platforms.

Frontiers in Bioengineering and BiotechnologyVol. 13
Escuela Superior Politecnica del Litoral (EC)
Openalex Percentile: Top 18%
Food Chemistry and Fat Analysis
1.16
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