Project description:As the phyllosphere is a resource-limited niche, microbes have evolved different survival strategies by collaborating or competing with other organisms. This leads to the establishment of network structures which are stabilised by so-called microbial hub organisms. An already identified hub in the Arabidopsis thaliana phyllosphere is the oomycete pathogen Albugo laibachii. From wild Arabidopsis plants with white rust symptoms we isolated the basidiomycete yeast Moesziomyces albugensis, which is closely related to plant pathogenic smut fungi. It suppresses the infection of A. laibachii in lab experiments and inhibits growth of several bacterial phyllosphere members. The transcriptomic response of M. albugensis to presence of A. laibachii and bacterial SynCom members was investigated by using RNA sequencing. Interestingly, several genes encoding secretory proteins, mostly glycoside hydrolases and peptidases, are particularly induced upon interaction with A. laibachii.
Project description:PacBio HiFi sequencing was used to characterize genome-wide DNA base modifications and methylation motifs in Alicyclobacillus acidocaldarius subsp. acidocaldarius strain KCTC 1825 (DSM 446). Base-modification kinetics were mapped to the complete genome assembly and analyzed for m6A and m4C signals. The processed dataset provides per-base modification calls, motif-associated calls, and motif summaries linked to the public genome assembly and SRA run.
Project description:Based on the genome sequencing and gene annotation, we analyzed the alginate lyases and other genes related to alginate metabolism of strain Vibrio sp. C42, with the highest alginate-degrading activity. Combined with proteome measurement, we proposed its alginate metabolic pathways.
Project description:This genome-scale metabolic model (GEM) of Corynebacterium tuberculostearicum strain DSM 44922 (Taxon ID 38304) was initially built with CarveMe version 1.5.1 based on the genome assembly with NCBI accession GCF_013408445.1 and then underwent a series of careful semi-automatic and manual curation. It is the first model curated using the Python tool MCC for mass and charge curation.