4.6 Article

Predictive Microbial Community and Functional Gene Expression Profiles in Pineapple Peel Fermentation Using 16S rRNA Gene Sequences

Journal

FERMENTATION-BASEL
Volume 8, Issue 5, Pages -

Publisher

MDPI
DOI: 10.3390/fermentation8050194

Keywords

pineapple; fermentation; metagenomic; 16S rRNA; functional role; PICRUSt; metabolic pathway; KEGG

Funding

  1. Directorate of Research, Technology, and Community Service of the Ministry of Education, Culture, Research, and Technology, Republic of Indonesia
  2. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [NRF-2020R1I1A2066868]
  3. National Research Foundation of Korea (NRF) - Korea government (MSIT) [2020R1A5A2019413]

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In this study, the microbial communities and their functions during pineapple peel fermentation were analyzed using a metagenomic approach. It was found that microenvironmental differences have an effect on the microbial composition, and carbohydrate metabolism was the most prevalent metabolic pathway during the fermentation process. All bacteria found in the samples played significant roles in various metabolic processes.
Pineapple peel (PP) is a by-product with the potential to be used as a raw material for functional beverages. Traditional PP fermentation has so far paid little attention to the microbial community and its role in the fermentation process. As a result, the current research looked into the microbial communities and their roles during PP fermentation. A metagenomic approach based on the 16S rRNA sequencing data was used to assess the microbial communities. Subsequent analysis was performed using PICRUSt (phylogenetic investigation of communities by reconstruction of unobserved states) to analyze the microbial functions in the fermentation system. The microecology of the fermentation process in three samples was predominated by Firmicutes. Furthermore, the well-known probiotic genera Weissella, Lactobacillus, and Lactococcus were found to be predominating in the gumer, promic, and control samples, respectively. It was obvious that microenvironmental differences have an effect on the microbial composition of PP fermentation. Moreover, functional prediction revealed that carbohydrate metabolism was the most prevalent metabolic pathway during the fermentation process. Additionally, it was discovered that all of the bacteria found in the samples played significant roles in carbohydrate, amino acid, vitamin, and co-factor metabolism, which can be inferred to result in the production of beneficial metabolites.

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