Methodology overview and processed data linked to seaweed-associated bacteria and seaweed

In order to identify bacteria, a specific gene, the 16S rRNA gene is sequenced and compared to sequences in a public database. Based on the degree of similarity, a bacterium can be identified to a specific group (genus). To find out if a bacterium is novel or belong to a known species, genome sequence analysis is performed. To understand the composition of microbial communities, the total environmental DNA (metagenome) is sequenced. Specific environments typically have defined microbial communities - this information can be used to determine if human-based activities are having an impact on the environment or not. In this PowerPoint presentation there are slides summarising the following:Slide 1: Overall methodology employed for the isolation of seaweed-associated bacteria, genome sequencing, and genome mining; metagenome sequencing and mining.Slide 2: The neighbour-joining 16S rRNA gene phylogenetic tree containing selected seaweed-associated bacterial isolates, indicating the distribution across different genera, Classes, and Phyla.Slide 3: Genomic features of 12 seaweed-associated bacteria (genome size, G+C%, whether the strain is novel based on TYGS analysis, number of contigs, the % completeness of the genome, and % contamination detected).Slide 4: KAIJU output images of the microbiome associated with the brown seaweed <i>Laminaria pallida</i>. The analysis was performed at both the genus and phylum level, indicating the diversity present. Six high-quality bins (genomes) were also extracted from the metagenomes, as indicated on this slide.