Literature DB >> 27793826

Exploring the Impacts of Postharvest Processing on the Microbiota and Metabolite Profiles during Green Coffee Bean Production.

Florac De Bruyn1, Sophia Jiyuan Zhang1, Vasileios Pothakos1, Julio Torres2, Charles Lambot2, Alice V Moroni3, Michael Callanan3, Wilbert Sybesma3, Stefan Weckx1, Luc De Vuyst4.   

Abstract

The postharvest treatment and processing of fresh coffee cherries can impact the quality of the unroasted green coffee beans. In the present case study, freshly harvested Arabica coffee cherries were processed through two different wet and dry methods to monitor differences in the microbial community structure and in substrate and metabolite profiles. The changes were followed throughout the postharvest processing chain, from harvest to drying, by implementing up-to-date techniques, encompassing multiple-step metagenomic DNA extraction, high-throughput sequencing, and multiphasic metabolite target analysis. During wet processing, a cohort of lactic acid bacteria (i.e., Leuconostoc, Lactococcus, and Lactobacillus) was the most commonly identified microbial group, along with enterobacteria and yeasts (Pichia and Starmerella). Several of the metabolites associated with lactic acid bacterial metabolism (e.g., lactic acid, acetic acid, and mannitol) produced in the mucilage were also found in the endosperm. During dry processing, acetic acid bacteria (i.e., Acetobacter and Gluconobacter) were most abundant, along with Pichia and non-Pichia (Candida, Starmerella, and Saccharomycopsis) yeasts. Accumulation of associated metabolites (e.g., gluconic acid and sugar alcohols) took place in the drying outer layers of the coffee cherries. Consequently, both wet and dry processing methods significantly influenced the microbial community structures and hence the composition of the final green coffee beans. This systematic approach to dissecting the coffee ecosystem contributes to a deeper understanding of coffee processing and might constitute a state-of-the-art framework for the further analysis and subsequent control of this complex biotechnological process. IMPORTANCE: Coffee production is a long process, starting with the harvest of coffee cherries and the on-farm drying of their beans. In a later stage, the dried green coffee beans are roasted and ground in order to brew a cup of coffee. The on-farm, postharvest processing method applied can impact the quality of the green coffee beans. In the present case study, freshly harvested Arabica coffee cherries were processed through wet and dry processing in four distinct variations. The microorganisms present and the chemical profiles of the coffee beans were analyzed throughout the postharvest processing chain. The up-to-date techniques implemented facilitated the investigation of differences related to the method applied. For instance, different microbial groups were associated with wet and dry processing methods. Additionally, metabolites associated with the respective microorganisms accumulated on the final green coffee beans.
Copyright © 2016 American Society for Microbiology.

Entities:  

Keywords:  UPLC-MS/MS; coffee bean fermentation; dry processing; green coffee beans; high-throughput sequencing; metabolite target analysis; wet processing

Mesh:

Substances:

Year:  2016        PMID: 27793826      PMCID: PMC5165123          DOI: 10.1128/AEM.02398-16

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  45 in total

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Authors:  S Avallone; J P Guiraud; B Guyot; E Olguin; J M Brillouet
Journal:  J Agric Food Chem       Date:  2001-11       Impact factor: 5.279

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Journal:  Appl Environ Microbiol       Date:  2003-04       Impact factor: 4.792

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8.  Microbial diversity during maturation and natural processing of coffee cherries of Coffea arabica in Brazil.

Authors:  C F Silv; R F Schwan; E S Sousa Dias; A E Wheals
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9.  Effect of roasting on the formation of chlorogenic acid lactones in coffee.

Authors:  Adriana Farah; Tomas de Paulis; Luiz C Trugo; Peter R Martin
Journal:  J Agric Food Chem       Date:  2005-03-09       Impact factor: 5.279

10.  Yeast involved in fermentation of Coffea arabica in East Africa determined by genotyping and by direct denaturating gradient gel electrophoresis.

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Journal:  Yeast       Date:  2004-05       Impact factor: 3.239

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Journal:  Appl Environ Microbiol       Date:  2019-05-02       Impact factor: 4.792

3.  The Interior Surfaces of Wooden Barrels Are an Additional Microbial Inoculation Source for Lambic Beer Production.

Authors:  J De Roos; D Van der Veken; L De Vuyst
Journal:  Appl Environ Microbiol       Date:  2018-12-13       Impact factor: 4.792

4.  Temporal and Spatial Distribution of the Acetic Acid Bacterium Communities throughout the Wooden Casks Used for the Fermentation and Maturation of Lambic Beer Underlines Their Functional Role.

Authors:  J De Roos; M Verce; M Aerts; P Vandamme; L De Vuyst
Journal:  Appl Environ Microbiol       Date:  2018-03-19       Impact factor: 4.792

5.  Constructing a Defined Starter for Multispecies Vinegar Fermentation via Evaluation of the Vitality and Dominance of Functional Microbes in an Autochthonous Starter.

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6.  Following Coffee Production from Cherries to Cup: Microbiological and Metabolomic Analysis of Wet Processing of Coffea arabica.

Authors:  Sophia Jiyuan Zhang; Florac De Bruyn; Vasileios Pothakos; Julio Torres; Carlos Falconi; Cyril Moccand; Stefan Weckx; Luc De Vuyst
Journal:  Appl Environ Microbiol       Date:  2019-03-06       Impact factor: 4.792

7.  Carrot Juice Fermentations as Man-Made Microbial Ecosystems Dominated by Lactic Acid Bacteria.

Authors:  Sander Wuyts; Wannes Van Beeck; Eline F M Oerlemans; Stijn Wittouck; Ingmar J J Claes; Ilke De Boeck; Stefan Weckx; Bart Lievens; Luc De Vuyst; Sarah Lebeer
Journal:  Appl Environ Microbiol       Date:  2018-05-31       Impact factor: 4.792

8.  First description of bacterial and fungal communities in Colombian coffee beans fermentation analysed using Illumina-based amplicon sequencing.

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9.  Amplicon-Based High-Throughput Sequencing Method Capable of Species-Level Identification of Coagulase-Negative Staphylococci in Diverse Communities.

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10.  Effect of Coffee Cascara Dietary Fiber on the Physicochemical, Nutritional and Sensory Properties of a Gluten-Free Bread Formulation.

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Journal:  Molecules       Date:  2020-03-17       Impact factor: 4.411

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