Statistical analysis
Data was tested for normality using the Shapiro-Wilk test. One-tailed t-tests were used for pair-wise comparisons after establishment of normality and equal variance. One-way ANOVAs were used for multiple group testing. If data failed normality, Friedman Repeated Measures Analysis of Variance (FRMANOVA) on ranks tests were conducted. When appropriate, Tukey’s, Holm-Sidak, or Dunn’s Method post-hoc tests were conducted to determine significantly different groups. P values ≤ 0.05 were accepted as being statistically significant. The above statistical tests were conducted using SigmaPlot software (v. 13).
Primer (v.7.0.9, Primer- E Ltd.) was used for prokaryotic community visualization and diversity analysis. Bray-Curtis distances were calculated from normalized, square root transformed sequence data and used to conduct non-metric multidimensional scaling (nMDS) and nested two- and one-way analysis of similarity (ANOSIM) tests. Presence/absence heat maps for O. faveolata, O. annularis, and A. humilis were created using the phyloseq [11] R package within the R-studio environment and a custom script [12] that was modified for this study. These heat maps were generated using distinct MED nodes that comprised 50% of all the reads obtained for each sample and thus represent the most dominant groups. Frequency of MED node detection was determined for each treatment and the percentage of detection agreement between pairwise treatments within each colony was assessed. One-tailed t-tests were used to reveal significantly different MED node detection between treatments.
References
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BCO-DMO Data Processing Notes:
-removed spaces and replaced with underscores
-reformatted column names to comply with BCO-DMO standards
-converted all lat/lons to decimal degrees
-added accession links
-filled in blank cells with nd