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ABSTRACT: Microbiome of anaerobic biodigestors under different operational conditions

PROVIDER: PRJNA622549 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR11475512.fastq.gz	Fastqsanger.gz
	SRR11475513.fastq.gz	Fastqsanger.gz
	SRR11475514.fastq.gz	Fastqsanger.gz
	SRR11475515.fastq.gz	Fastqsanger.gz
	SRR11475516.fastq.gz	Fastqsanger.gz

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Multi-level microbial fingerprinting in anaerobic digestion reveals consistent fingerprinting profiles

Project description:The anaerobic digestion microbiomes has been puzzling us since the dawn of molecular methods for mixed microbial community analysis. Monitoring of the anaerobic digestion microbiome can either take place via a holistic evaluation of the microbial community through fingerprinting or by targeted monitoring of selected taxa. Here, we compared four different microbial community fingerprinting methods, i.e., amplicon sequencing, metaproteomics, metabolomics and phenotypics, in their ability to reflect the full-scale anaerobic digestion microbiome. The phenotypic fingerprinting reflects a, for anaerobic digestion, novel, single cell-based approach of direct microbial community fingerprinting. Three different digester types, i.e., sludge digesters, digesters treating agro-industrial waste and dry anaerobic digesters reflected different operational parameters. The α-diversity analysis yielded inconsistent results, especially for richness, across the different methods. In contrast, β-diversity analysis resulted in comparable profiles, even when translated into phyla or functions, with clear separation of the three digester types. In-depth analysis of each method's features i.e., operational taxonomic units, metaproteins, metabolites, and phenotypic traits, yielded certain similar features yet, also some clear differences between the different methods, which was related to the complexity of the anaerobic digestion process. In conclusion, phenotypic fingerprinting is a reliable, fast method for holistic monitoring of the anaerobic digestion microbiome, and the complementary identification of key features through other methods could give rise to a direct interpretation of anaerobic digestion process performance.

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Project description:Anaerobic digestion community development under different conditions

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Project description:We tested the ability of MS1-only data to identify the effects of drugs at varying concentrations on a human gut microbiome. We processed a human stool sample and cultured the processed microbiome in vitro under anaerobic condition for 48 hours using the rapidAIM assay. The microbiome was treated with either azathioprine, ciprofolxacin, diclofenac, nicatidine, paracetamol or control DMSO. Each drug was used at three different concentrations

2022-07-29 | PXD024815 | Pride

Effects of 5 drugs on the human gut microbiome.

Project description:We processed a human stool sample and cultured the processed microbiome in vitro under anaerobic condition for 48 hours using the rapidAIM assay. The microbiome was treated with either azathioprine, ciprofolxacin, diclofenac, nicatidine, paracetamol or control DMSO. Each drug was used at three different concentrations. We compared these results to those acquired using MS1-only data.

2022-07-29 | PXD024845 | Pride

Genome-wide analysis of FNR and M-OM-^C70 in E. coli under aerobic and anaerobic growth conditions.

Project description:We found many binding sites for FNR under glucose fermentative anaerobic growth conditions. Also, many binding sites were identified for M-OM-^C70 under both aerobic and anaerobic growthin conditions. Descirbed in the manuscript "Genome-scale Analysis of E. coli FNR Reveals the Complexity of Bacterial Regulon Structure" Examination of occupancy of FNR adn M-OM-^C70 under aerobic and anaerobic growth in conditions.

2013-06-20 | E-GEOD-41187 | biostudies-arrayexpress

Genome-wide analysis of FNR and σ70 in E. coli under aerobic and anaerobic growth conditions.

Project description:We found many binding sites for FNR under glucose fermentative anaerobic growth conditions. Also, many binding sites were identified for σ70 under both aerobic and anaerobic growthin conditions. Descirbed in the manuscript "Genome-scale Analysis of E. coli FNR Reveals the Complexity of Bacterial Regulon Structure"

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Project description:Comparing the transcriptomic responses between the Mycobacterium avium subspecies paratuberculosis (MAP) leuD mutant with the parent strain K-10 under different environmental stresses: nutrition, temperature, anaerobic conditions, high- and low- pH conditions.

2013-02-16 | GSE36053 | GEO

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Project description:We found many binding sites for ArcA under glucose fermentative anaerobic growth conditions. Descirbed in the manuscript "The response regulator ArcA uses a diverse binding site architechture to globally regulate carbon oxidation in E. coli" Examination of occupancy of ArcA under anaerobic growth conditions.

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