GREENGATE GENOMICS CASE STUDIES

Deep Biosphere

Deep Biosphere

  • Reconstruction of Microbial distribution patterns across a 230m terrestrial subsurface drill core

  • Application of specifically adapted laboratory and bioinformatic workflows for low biomass environments

  • Amplicon and metagenomic based taxonomy analysis

  • MAG recovery and annotation allowed detection and characterization of CO2 utilizing methanogenic and chemolithotrophic microorganisms

  • Statistical evaluation provided insights into microbial co-occurrence patterns and bio-geo interactions

Case Study Deep Biosphere

Project Topic:
Microbial utilization of CO2 in the terrestrial subsurface

Project Partner:
GFZ Deutsches Geoforschungszentrum Potsdam

Location:
Eger Rift mofette field in the Czech Republic

Sample type:
Sediment and rock cores, mofette and spring waters

Target Molecule:
DNA

Laboratory Analysis:
16S rRNA and metagenomic sequencing of rock, water and enrichment samples
using Illumina and Oxford Nanopore Technology

Bioinformatic Analysis:
Basecalling, taxonomic classification, assembly and binning, genome quality
assessment, annotation, metabolic pathway reconstruction

Summary:
Specifically adapted laboratory and bioinformatic workflows allowed the reconstruction of microbial distribution patterns down to a depth of 230 m across this, difficult to work with, low biomass environment. Metagenomic genome recovery allowed the detection and characterization of CO2 utilizing methangenic and chemolithotrophic mcirroganismans. Statistical evaluation provided insights into microbial co-occurrence patterns and bio-geo interactions.

More details:
https://www.frontiersin.org/articles/10.3389/fmicb.2018.02787/full
https://www.frontiersin.org/articles/10.3389/fmicb.2020.543260/full
https://www.frontiersin.org/articles/10.3389/fmicb.2017.02446/full

PDF DOWNLOAD

OilandGas_FeatureImages

Oil and Gas Ecology

Evaluation of microbial abundance and composition patterns highlighted elevated potential for biocorrosion and well fouling. Statistical assessment suggested a link between biocide usage and microbial distribution. Reconstruction and characterization of draft genomes provided insights into microbial processes in oil and gas environments
Casestudy_permafrost4

Methane-Cycling Microbiome in Permafrost

Taxonomic and functional profiling revealed high diversity of methane cycling microbiome residing in permafrost soil, with heterogeneous distribution patterns in active layer and permafrost. Diversity loss after excessive warming will lead to larger variability of production rate of greenhouse gas CH4 and CO2 from permafrost soils
DeepBiosphere_FeatureImages

Deep Biosphere

Specifically adapted laboratory and bioinformatic workflows allowed the reconstruction of microbial distribution patterns down to a depth of 230 m across this, difficult to work with, low biomass environment. Metagenomic genome recovery allowed the detection and characterization of CO2 utilizing methangenic and chemolithotrophic mcirroganismans. Statistical evaluation provided insights into microbial co-occurrence patterns and bio-geo interactions.
BiocideResistenc_FeatureImages

Biocide Resistance

Differential expression analysis resulted in the identification of significantly upand downregulated genes in response to sodium hypochlorite. Following annotation of these genes, results were used to reconstruct cellular pathways which may be used by Pseudomonas biofilm cells to develop resistance to oxidative biocides.
Atacama_FeatureImages

Atacama Desert

Evaluating the extracellular and intracellular DNA fractions in soil and rock samples from different Atacama desert locations, it was possible to identify highly adapted microbial species, investigate their response to extreme arditty and UV exposure, and gather important insights on microbial turnover in Mars like environments.
Nanopore_FeatureImages

Nanopore Genome Sequencing

Oxford Nanopore Technologies (ONT) offers long read sequencing by nanopore sequencing. Long reads are well suited for genome reconstruction, still the workflow requires careful execution of different computational steps from basecalling to binning of final genome. Some steps of this workflow have a high influence on the size and quality of the final genome.

© 2023 greengategenomics.com

© 2023 greengategenomics.com