Unveiling the metabolic potential of two soil-derived microbial consortia selected on wheat straw.
Based on the premise that plant biomass can be efficiently degraded by mixed microbial cultures and/or enzymes, we here applied a targeted metagenomics-based approach to explore the metabolic potential of two forest soil-derived lignocellulolytic microbial consortia, denoted RWS and TWS (bred on wheat straw). Using the metagenomes of three selected batches of two experimental systems, about 1.2 Gb of sequence was generated. Comparative analyses revealed an overrepresentation of predicted carbohydrate transporters (ABC, TonB and phosphotransferases), two-component sensing systems and β-glucosidases/galactosidases in the two consortia as compared to the forest soil inoculum. Additionally, "profiling" of carbohydrate-active enzymes showed significant enrichments of several genes encoding glycosyl hydrolases of families GH2, GH43, GH92 and GH95. Sequence analyses revealed these to be most strongly affiliated to genes present on the genomes of Sphingobacterium, Bacteroides, Flavobacterium and Pedobacter spp. Assembly of the RWS and TWS metagenomes generated 16,536 and 15,902 contigs of ≥10 Kb, respectively. Thirteen contigs, containing 39 glycosyl hydrolase genes, constitute novel (hemi)cellulose utilization loci with affiliation to sequences primarily found in the Bacteroidetes. Overall, this study provides deep insight in the plant polysaccharide degrading capabilities of microbial consortia bred from forest soil, highlighting their biotechnological potential.
Department of Microbial Ecology, Groningen Institute for Evolutionary Life Sciences, University of Groningen. Nijenborgh 7, 9747AG. Groningen, The Netherlands.
Diego Javier
DJ
Jiménez
Helmholtz-Centre for Infection Research, Inhoffenstr 7, 38124. Braunschweig, Germany.
Diego
D
Chaves-Moreno
Department of Microbial Ecology, Groningen Institute for Evolutionary Life Sciences, University of Groningen. Nijenborgh 7, 9747AG. Groningen, The Netherlands.
Jan Dirk
JD
van Elsas
D001419:Bacteria / Q000145:classification / Q000235:genetics / Q000378:metabolism; D018533:Biomass; D019295:Computational Biology; D004734:Energy Metabolism / Q000235:genetics; D023061:Gene Order; D054892:Metagenome; D056186:Metagenomics; D059013:Microbial Consortia / Q000235:genetics; D058977:Molecular Sequence Annotation; D016366:Open Reading Frames / Q000235:genetics; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D012988:Soil Microbiology; D014908:Triticum / Q000382:microbiology*
D012336:RNA, Ribosomal, 16S