Meta-omics analyses of dual substrate enrichment culturing of nitrous oxide respiring bacteria suggest that attachment and complex polysaccharide utilisation contributed to the ability of Cloacibacterium strains to reach dominance
Vick, S. H. W.; Jonassen, K. R.; Arntzen, M.; Lycus, P.; Bakken, L. R.
Show abstract
Bioengineering soil metabolism by inoculation is an emerging approach to enhance plant growth and strengthen specific functions such as N2O reduction in order to reduce climate forcing. The use of organic wastes as substrates and carriers of microbial biomass has proven to be a viable approach to improving effectiveness and economic viability. A key factor in the success of this approach lies in selection of microbes capable of growth and survival in both organic wastes as well as soils, and which are tolerant of the rapid environmental fluctuations such fertilisations involve. A dual substrate, N2O-enrichment experiment, switching between soil and organic waste as substrates has yielded Cloacibacterium isolates which grow well in organic wastes and retain significant N2O reduction capacity when applied to soils. However, an understanding of the genetic and phenotypic characteristics utilised by these enrichment winners to dominate under such conditions remains unexplored. Here we have performed a multi-omics examination of the enrichment cultures, using both metagenomics and metaproteomics to probe the genetic basis and expressed proteins which may contribute to the success of Cloacibacterium in the enrichments, and their survival in soil. These omics results show an increase in complex carbohydrate metabolism, chemotaxis and motility genes throughout the enrichment as well as the expression of gliding motility proteins and polysaccharide utilization loci proteins by Cloacibacterium organisms. Taken together this suggests that attachment and complex polysaccharide utilisation may be key processes allowing Cloacibacterium to tolerate the stresses of a changing environment during transfers between digestate and soil.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Metagenomic screening for lipolytic genes reveals an ecology-clustered distribution pattern 96%
- A stable 15-member bacterial SynCom promotes Brachypodium growth under drought stress 96%
- Phototrophic co-cultures from extreme environments: community structure and potential value for fundamental and applied research 95%
Similar papers in this journal
- Tetranucleotide frequencies differentiate genomic boundaries and metabolic strategies across environmental microbiomes 96%
- Carbon Assimilation Strategies in Ultrabasic Groundwater: Clues from the Integrated Study of a Serpentinization-Influenced Aquifer 96%
- Extracellular electron transfer genes expressed by candidate flocking bacteria in cable bacteria sediment 95%
Similar papers in this journal
- Uncovering hidden phylo- and ecogenomic diversity of the widespread methanotrophic genus Methylobacter 96%
- DNA-SIP and repeated isolation corroborate Variovorax as a key organism in maintaining the genetic memory for linuron biodegradation in an agricultural soil 95%
- Marine particle microbiomes during a spring diatom bloom contain active sulfate-reducing bacteria 94%
Similar papers in this journal
- Microbial community of recently discovered Auka vent field sheds light on vent biogeography and evolutionary history of thermophily 94%
- A novel class of sulfur-containing aminolipids widespread in marine roseobacters 94%
- Interspecies metabolite transfer and aggregate formation in a co-culture of Dehalococcoides and Sulfurospirillum dehalogenating tetrachloroethene to ethene 94%
Similar papers in this journal
- Sulfonamide resistance gene sul4 is hosted by common wastewater sludge bacteria and found in various newly described contexts and hosts including clinically relevant species 95%
- Abiotic treatment to common bean plants results in an altered seed microbiome. 95%
- Impacts of Biostimulation and Bioaugmentation on Woodchip Bioreactor Microbiomes 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.