Data for NCBI BioProject PRJNA966929

Abstract

Data for NCBI BioProject PRJNA966929: Total Shark microbiome 16S We here analyzed bacterial communities associated with different microenvironments associated with wild-caught black-tip reef sharks (Carcharhinus melanopterus), specifically the body surface, oral/buccal cavity, and the cloaca in comparison to the water column from the Amirante Islands, Seychelles, using 16S rRNA gene amplicon sequencing and inferred their putative functions. Description: Supplementary Table S2: 16S rRNA gene sequence counts distributed over amplicon sequence variants (ASVs) and samples (shark and seawater samples), including taxonomic annotation and representative sequences; low abundant sequences (< 10 sequences in total across all samples) and contaminants were removed. Supplementary Table S3.: Results of multi- and univariate test statistics of bacterial community composition and diversity indices associated with seawater and microenvironments associated with blacktip reef sharks (Carcharhinus melanopterus) from the Amirante Islands, Seychelles. A. Results of Permutational Analysis of Variances (PERMANOVA) with seawater samples included. B. Results of Permutational Analysis of Variances (PERMANOVA) following the exclusion of seawater samples due to significant multivariate dispersion, and subsequent adonis PERMANOVA on bacterial communities of shark-associated microenvironments. C. Results of Similarity Percentages Breakdown (SIMPER) analysis to identify ASVs significantly contributing to dissimilarity in bacterial communities associated with different microenvironments. headers: sd = standard deviation; ratio = average to sd ratio; ava,b = average abundances per groups compared; cumsum = ordered cumulative contribution. D. Linear regression and pairwise test results of differences in alpha diversity indices associated with bacterial communities in seawater and the four different shark-associated microenvironments. E. Calculated Alpha diversity indices associated of bacterial communities in seawater and four different microenvironments on and in the body of blacktip reef sharks (Carcharhinus melanopterus) from the Amirante Islands, Seychelles. Supplementary Table S4: Results of indicator taxa analysis to assess ASVs significantly associated with individual microenvironments or combinations of bacterial microenvironments on black-tip reef sharks (Carcharhinus melanopterus) in the Amirante Islands, Seychelles. Supplementary Table S5: Linear Discriminant Analysis Effect Sizes (LEfSe) to identify bacterial ASVs present at increased occurrences in seawater and in different microbial microenvironments associated with black-tip reef sharks (Carcharhinus melanopterus) from the Amirante Islands, Seychelles. Supplementary Table S6: Output of PICRUSt2 analysis of bacterial community data (16S rRNA gene sequences) distributed across individual samples, specifically seawater and associated with black-tip reef sharks (Carcharhinus melanopterus) from the Amirante Islands, Seychelles. A. Predicted metabolic functions. Discriminant traits were determined using linear discriminant analysis (LDA) effect size method with a cut-off > 2.0 for each MetaCyc pathway. B. Overview of weighted Nearest Sequenced Taxon Index (NSTI) scores of bacterial ASVs. Supplementary Table S7: Linear Discriminant Analysis Effect Sizes (LEfSe) of predicted metabolic (MetaCyc) pathways inferred from bacterial community data associated with seawater and different microbial microenvironments associated with black-tip reef sharks (Carcharhinus melanopterus) from the Amirante Islands, Seychelles.