ArticleBMC genomics2013
Complete genome sequence and comparative analysis of Acetobacter pasteurianus 386B, a strain well-adapted to the cocoa bean fermentation ecosystem.
Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 89 citations in OpenAlex.
- Complete Genome Sequence and Comparative Genomics ofMicroorganisms · 2026Article
- Metagenomic Insights into the Microbial Composition and Functional Potential of Cocoa (Theobroma Cacao L.) During Fermentation and Drying in Colombia.Microbial ecology · 2026Article
- Complete genome analysis of the cellulose producing strain Komagataeibacter sucrofermentans SMEG01.Scientific reports · 2025Article
- Draft genome sequence ofMicrobiology resource announcements · 2025Article
- Regulatory mechanisms of acetic acid, ethanol and high temperature tolerances of acetic acid bacteria during vinegar production.Microbial cell factories · 2024Review
- Yeast strains do have an impact on the production of cured cocoa beans, as assessed with Costa Rican Trinitario cocoa fermentation processes and chocolates thereof.Frontiers in microbiology · 2023Article
- Comparative Genomics of Acetic Acid Bacteria within the GenusMicroorganisms · 2022Article
- Application of comparative genomics ofFrontiers in microbiology · 2022Article
- Improving the Acetic Acid Fermentation ofFrontiers in bioengineering and biotechnology · 2022Article
- Whole genome analysis of3 Biotech · 2021Article
- Global cocoa fermentation microbiome: revealing new taxa and microbial functions by next generation sequencing technologies.World journal of microbiology & biotechnology · 2021Review
- Dissecting industrial fermentations of fine flavour cocoa through metagenomic analysis.Scientific reports · 2021Article
- Engineering of primary metabolic pathways for titer improvement of milbemycins in Streptomyces bingchenggensis.Applied microbiology and biotechnology · 2021Article
- Review
- Comparative Genome Analysis of ThreeFrontiers in microbiology · 2021Article
- Potential of Bacteria from Alternative Fermented Foods as Starter Cultures for the Production of Wheat Sourdoughs.Microorganisms · 2020Article
- Comparative Genomic Analysis of Closely RelatedJournal of bacteriology · 2020Article
- Gene Transfer Agents in Symbiotic Microbes.Results and problems in cell differentiation · 2020Review
- Curing of Cocoa Beans: Fine-Scale Monitoring of the Starter Cultures Applied and Metabolomics of the Fermentation and Drying Steps.Frontiers in microbiology · 2020Article
- A safe and sustainable bacterial cellulose nanofiber separator for lithium rechargeable batteries.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcetobacter pasteurianus 386B, an acetic acid bacterium originating from a spontaneous cocoa bean heap fermentation, proved to be an ideal functional starter culture for coca bean fermentations. It is able to dominate the fermentation process, thereby resisting high acetic acid concentrations and temperatures. However, the molecular mechanisms underlying its metabolic capabilities and niche adaptations are unknown. In this study, whole-genome sequencing and comparative genome analysis was used to investigate this strain's mechanisms to dominate the cocoa bean fermentation process.
resultsThe genome sequence of A. pasteurianus 386B is composed of a 2.8-Mb chromosome and seven plasmids. The annotation of 2875 protein-coding sequences revealed important characteristics, including several metabolic pathways, the occurrence of strain-specific genes such as an endopolygalacturonase, and the presence of mechanisms involved in tolerance towards various stress conditions. Furthermore, the low number of transposases in the genome and the absence of complete phage genomes indicate that this strain might be more genetically stable compared with other A. pasteurianus strains, which is an important advantage for the use of this strain as a functional starter culture. Comparative genome analysis with other members of the Acetobacteraceae confirmed the functional properties of A. pasteurianus 386B, such as its thermotolerant nature and unique genetic composition.
conclusionsGenome analysis of A. pasteurianus 386B provided detailed insights into the underlying mechanisms of its metabolic features, niche adaptations, and tolerance towards stress conditions. Combination of these data with previous experimental knowledge enabled an integrated, global overview of the functional characteristics of this strain. This knowledge will enable improved fermentation strategies and selection of appropriate acetic acid bacteria strains as functional starter culture for cocoa bean fermentation processes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.