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Sourdough metagenome

ABSTRACT: sourdough metagenome Metagenome

PROVIDER: PRJNA931774 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR23389426_1.fastq.gz	Fastqsanger.gz
	SRR23389426_2.fastq.gz	Fastqsanger.gz

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Global transcriptome analysis of Lactobacillus reuteri in sourdough fermentation.

Project description:In this study, we investigated the transcriptional response of the human isolate L. reuteri ATCC 55730 during sourdough fermentation by using whole-genome microarrays. Significant changes of mRNA levels were found for 101 genes involved in diverse cellular processes, e.g., carbohydrate and energy metabolism, cell envelope biosynthesis, exopolysaccharide production, stress responses, signal transduction and cobalamin biosynthesis. Our results evidence extensive changes of the organism’s gene expression to the growth in sourdough as compared to the growth in chemically defined medium, and thus allowed us to uncover pathways involved in the adaptation of L. reuteri to the ecological niche of sourdough. An impact of several genes of L. reuteri for effective growth in sourdough was shown by implementation of mutant strains in sourdough fermentation. This study contributes to the understanding of the molecular fundamentals of L. reuteri’s ecological competitiveness, and provides a basis for further exploration of genetic traits involved in adaptation to the food and/or intestinal environment. Keywords: environment-specific gene expression, sourdough fermentation, chemically defined medium, dye swap

2008-02-13 | GSE10495 | GEO

Analysis of natural wheat and spelt sourdough ecosystem during a 10-day spontaneous laboratory fermentation

Project description:This SuperSeries is composed of the following subset Series: GSE15686: Meta-transcriptome analysis of a natural wheat sourdough ecosystem during a 10-day spontaneous laboratory fermentation (I) GSE15691: Meta-transcriptome analysis of a natural spelt sourdough ecosystem during a 10-day spontaneous laboratory fermentation (I) GSE15692: Meta-transcriptome analysis of a natural spelt sourdough ecosystem during a 10-day spontaneous laboratory fermentation (II) GSE15693: Meta-transcriptome analysis of a natural wheat sourdough ecosystem during a 10-day spontaneous laboratory fermentation (II) Refer to individual Series

2010-07-07 | E-GEOD-15803 | biostudies-arrayexpress

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Project description:Sourdough is a very competitive and challenging environment for microorganisms. Usually, a stable microbiota composed of lactic acid bacteria (LAB) and yeasts comes to dominate this ecosystem. Although rich in carbohydrates, thus providing an ideal environment to grow, the low pH presents a particular challenge. The nature of the adaptation to this low pH was investigated for Lactobacillus plantarum IMDO 130201, an isolate from a laboratory wheat sourdough fermentation. Batch fermentations were carried out in wheat sourdough simulation medium, and total RNA was isolated from mid-exponential growth phase cultures, followed by differential gene expression analysis using a LAB functional gene microarray. At low pH values, an increased expression of genes involved in peptide and amino acid metabolism was observed as well as of genes involved in plantaricin production and lipoteichoic acid synthesis. The results highlight cellular mechanisms that allow L. plantarum to function at a low environmental pH.

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Lactobacillus plantarum IMDO 130201, a wheat sourdough isolate, adapts to growth in wheat sourdough simulation medium at different pH values through differential gene expression

2011-07-31 | E-GEOD-23945 | biostudies-arrayexpress

Sourdough isolate genome sequencing

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sourdough metagenome fermentaed for 8h started by Laomian after frozen

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Meta-transcriptome analysis of a natural wheat sourdough ecosystem during a 10-day spontaneous, laboratory fermentation

Project description:Lactic acid bacteria (LAB) are of industrial importance in the production of fermented foods, among which sourdough-derived products. Despite their limited metabolic capacity LAB contribute considerably to important characteristics of fermented foods, among which extended shelf-life, microbial safety, improved texture, and enhanced organoleptic properties. Thanks to the considerable amount of LAB genomic information that became available during the last years, transcriptome, and by extension meta-transcriptome studies, are the exquisite research approaches to study whole ecosystem gene expression into more detail. In this study, microarray analyses were performed using RNA sampled during four 10-day spontaneous sourdough fermentations carried out in the laboratory, namely two wheat and two spelt fermentations with daily back-slopping. Hereto, the in-house developed functional gene LAB microarray was used, representing 406 genes that play a key role in sugar and nitrogen metabolism, functional metabolite production, stress responses and health and safety characteristics. The results reveal the activation of different key metabolic pathways, the ability to use different energy sources, and successful acid and oxidative stress responses. Also, a new algorithm was developed to compute a net expression profile for each of the represented genes, thereby exceeding the species level. The labeled aRNA of the sourdough fermentation samples was hybridized using a loop design, i.e. subsequent samples (e.g. 27 h and 51 h, 51 h and 75 h etc.) were hybridized together on the microarray and the loop was closed by hybridizing the last sample with the first.

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