Authors :
Amith B; Harshitha K. N.; Vijay R; Yogeesh A. S.; Shivandappa; Narendra Kumar S.
Volume/Issue :
Volume 10 - 2025, Issue 2 - February
Google Scholar :
https://tinyurl.com/ymfpsk86
Scribd :
https://tinyurl.com/4vthxner
DOI :
https://doi.org/10.5281/zenodo.14908897
Abstract :
Background:
Microbial diversity is what decides the flavor, aroma, and quality of beer. These microbes include bacteria and yeast. These
microorganisms can cause spoilage when their population grows unchecked and fermentation when in check. Current traditional
techniques to identify the microbial flora have poor resolution and scale up very badly. High-resolution sequencing technologies,
such as nanopore sequencing, offer a great look into microbial communities, making their role in the brewing process
considerably clearer. Bioinformatics platforms, such as Galaxy.org, offer user-friendly tools for processing and analyzing
complex sequencing data, providing advanced microbial characterization capability to researchers and industry professionals
Objectives:
This study aimed to isolate and characterize microbial communities in beer using advanced nanopore sequencing
technologies combined with the Galaxy.org platform for bioinformatics analysis. Specifically, the objectives were to:
Extract DNA from beer samples and generate long-read sequencing data through the Oxford Nanopore MinION platform.
Use Galaxy.org to process and analyze data: base calling, quality control, taxonomic classification, and visualization.
Identify key microbes, such as bacteria and yeast, emphasizing species linked to fermentation and spoilage.
Demonstrate nanopore sequencing and Galaxy.org as a powerful, user-friendly tool for the identification of microorganisms
in brewing, helping quality control and optimization of processes.
Explain how the methodology has wider applications in food and beverage microbiology
Keywords :
Nanopore Sequencing, Galaxy.Org, Beer Microbiology, Microbial Identification, Brewing, Bioinformatics.
References :
- Kurtzman, C. P., 1994 Molecular taxonomy of the yeasts. Yeast 10: 1727–1740. 10.1002/yea.320101306
- Ondov, B. D., N. H. Bergman, and A. M. Phillippy, 2011 Interactive metagenomic visualization in a Web browser. BMC Bioinformatics 12: 10.1186/1471-2105-12-385
- Bellon, J. R., F. Schmid, D. L. Capone, B. L. Dunn, and P. J. Chambers, 2013 Introducing a new breed of wine yeast: interspecific hybridisation between a commercial Saccharomyces cerevisiae wine yeast and Saccharomyces mikatae. PLoS one 8: e62053. 10.1371/journal.pone.0062053
- Wood, D. E., and S. L. Salzberg, 2014 Kraken: ultrafast metagenomic sequence classification using exact alignments. Genome Biology 15: R46. 10.1186/gb-2014-15-3-r46
- Sobel, J., L. Henry, N. Rotman, and G. Rando, 2017 BeerDeCoded: the open beer metagenome project. F1000Research 6: 1676. 10.12688/f1000research.12564.2
- Wick, R., 2017 Porechop. GitHub. https://github.com/rrwick/Porechop
- Chen, S., Y. Zhou, Y. Chen, and J. Gu, 2018 fastp: an ultra-fast all-in-one FASTQ preprocessor. 10.1101/274100
- Sampaio, J. P., 2018 Microbe profile: Saccharomyces eubayanus, the missing link to lager beer yeasts. Microbiology 164: 1069. 10.1099/mic.0.000677
- Wood, D. E., J. Lu, and B. Langmead, 2019 Improved metagenomic analysis with Kraken 2. Genome biology 20: 1–13. 10.1186/s13059-019-1891-0
- Delahaye, C., and J. Nicolas, 2021 Sequencing DNA with nanopores: Troubles and biases. PLoS One 16: e0257521. 10.1371/journal.pone.0257521.
Background:
Microbial diversity is what decides the flavor, aroma, and quality of beer. These microbes include bacteria and yeast. These
microorganisms can cause spoilage when their population grows unchecked and fermentation when in check. Current traditional
techniques to identify the microbial flora have poor resolution and scale up very badly. High-resolution sequencing technologies,
such as nanopore sequencing, offer a great look into microbial communities, making their role in the brewing process
considerably clearer. Bioinformatics platforms, such as Galaxy.org, offer user-friendly tools for processing and analyzing
complex sequencing data, providing advanced microbial characterization capability to researchers and industry professionals
Objectives:
This study aimed to isolate and characterize microbial communities in beer using advanced nanopore sequencing
technologies combined with the Galaxy.org platform for bioinformatics analysis. Specifically, the objectives were to:
Extract DNA from beer samples and generate long-read sequencing data through the Oxford Nanopore MinION platform.
Use Galaxy.org to process and analyze data: base calling, quality control, taxonomic classification, and visualization.
Identify key microbes, such as bacteria and yeast, emphasizing species linked to fermentation and spoilage.
Demonstrate nanopore sequencing and Galaxy.org as a powerful, user-friendly tool for the identification of microorganisms
in brewing, helping quality control and optimization of processes.
Explain how the methodology has wider applications in food and beverage microbiology
Keywords :
Nanopore Sequencing, Galaxy.Org, Beer Microbiology, Microbial Identification, Brewing, Bioinformatics.