DOI: 10.5281/zenodo.8041781
title: Data for NCBI BioProject PRJNA966929

description: 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 (<em>Carcharhinus melanopterus</em>), 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. <em>Description:</em> <strong>Supplementary Table S2. </strong>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 (&lt; 10 sequences in total across all samples) and contaminants were removed. <strong>Supplementary Table S3.</strong> Results of multi- and univariate test statistics of bacterial community composition and diversity indices associated with seawater and microenvironments associated with blacktip reef sharks (<em>Carcharhinus melanopterus</em>) from the Amirante Islands, Seychelles. <strong>A.</strong> Results of Permutational Analysis of Variances (PERMANOVA) with seawater samples included. <strong>B.</strong> 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. <strong>C.</strong> 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. <strong>D.</strong> 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. <strong>E.</strong> Calculated Alpha diversity indices associated of bacterial communities in seawater and four different microenvironments on and in the body of blacktip reef sharks (<em>Carcharhinus melanopterus</em>) from the Amirante Islands, Seychelles. <strong>Supplementary Table S4.</strong> Results of indicator taxa analysis to assess ASVs significantly associated with individual microenvironments or combinations of bacterial microenvironments on black-tip reef sharks (<em>Carcharhinus melanopterus</em>) in the Amirante Islands, Seychelles. <strong>Supplementary Table S5.</strong> 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 (<em>Carcharhinus melanopterus</em>) from the Amirante Islands, Seychelles. <strong>Supplementary Table S6</strong>. 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 (<em>Carcharhinus melanopterus</em>) from the Amirante Islands, Seychelles. <strong>A</strong>. Predicted metabolic functions. Discriminant traits were determined using linear discriminant analysis (LDA) effect size method with a cut-off &gt; 2.0 for each MetaCyc pathway. <strong>B</strong>. Overview of weighted Nearest Sequenced Taxon Index (NSTI) scores of bacterial ASVs. <strong>Supplementary Table S7.</strong> 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 (<em>Carcharhinus melanopterus</em>) from the Amirante Islands, Seychelles.
description: Manuscript submitted