Changes in the Substrate Source Reveal Novel Interactions in the Sediment-Derived Methanogenic Microbial Community.
Anna Szafranek-NakoniecznaAnna PytlakJarosław GrządzielAdam KubaczyńskiArtur M BanachAndrzej GórskiWeronika GorajAgnieszka KuźniarAnna GałązkaZofia StępniewskaPublished in: International journal of molecular sciences (2019)
Methanogenesis occurs in many natural environments and is used in biotechnology for biogas production. The efficiency of methane production depends on the microbiome structure that determines interspecies electron transfer. In this research, the microbial community retrieved from mining subsidence reservoir sediment was used to establish enrichment cultures on media containing different carbon sources (tryptone, yeast extract, acetate, CO2/H2). The microbiome composition and methane production rate of the cultures were screened as a function of the substrate and transition stage. The relationships between the microorganisms involved in methane formation were the major focus of this study. Methanogenic consortia were identified by next generation sequencing (NGS) and functional genes connected with organic matter transformation were predicted using the PICRUSt approach and annotated in the KEGG. The methane production rate (exceeding 12.8 mg CH4 L-1 d-1) was highest in the culture grown with tryptone, yeast extract, and CO2/H2. The analysis of communities that developed on various carbon sources casts new light on the ecophysiology of the recently described bacterial phylum Caldiserica and methanogenic Archaea representing the genera Methanomassiliicoccus and Methanothrix. Furthermore, it is hypothesized that representatives of Caldiserica may support hydrogenotrophic methanogenesis.
Keyphrases
- anaerobic digestion
- microbial community
- antibiotic resistance genes
- organic matter
- sewage sludge
- electron transfer
- municipal solid waste
- heavy metals
- oxidative stress
- genome wide
- risk assessment
- polycyclic aromatic hydrocarbons
- room temperature
- single cell
- dna methylation
- saccharomyces cerevisiae
- wastewater treatment
- bioinformatics analysis