(high-temp) No 8. Metadata Analysis (16S rRNA/ITS) Output

<strong>Output files from the 8. Metadata Analysis Workflow</strong> page of the SWELTR high-temp study. In this workflow, we compared environmental metadata with microbial communities. The workflow is split into two parts.<br> <br> <strong>metadata_ssu18_wf.rdata</strong>: Part 1 contains all variables and objects for the 16S rRNA analysis. To see the Objects, in R run <em>load("metadata_ssu18_wf.rdata", verbose=TRUE)</em><br> <br> <strong>metadata_its18_wf.rdata</strong>: Part 2 contains all variables and objects for the ITS analysis. To see the Objects, in R run <em>load("metadata_its18_wf.rdata", verbose=TRUE)</em><br> Additional files:<br> <br> In both workflows, we run the following steps:<br> <br> <strong>1</strong>) Metadata Normality Tests: Shapiro-Wilk Normality Test to test whether each matadata parameter is normally distributed.<br> <strong>2</strong>) Normalize Parameters: R package bestNormalize to find and execute the best normalizing transformation.<br> <strong>3</strong>) Split Metadata parameters into groups: a) Environmental and edaphic properties, b) Microbial functional responses, and c) Temperature adaptation properties.<br> <strong>4</strong>) Autocorrelation Tests: Test all possible pair-wise comparisons, on both normalized and non-normalized data sets, for each group.<br> <strong>5</strong>) Remove autocorrelated parameters from each group.<br> <strong>6</strong>) Dissimilarity Correlation Tests: Use Mantel Tests to see if any on the metadata groups are significantly correlated with the community data.<br> <strong>7</strong>) Best Subset of Variables: Determine which of the metadata parameters from each group are the most strongly correlated with the community data. For this we use the bioenv function from the vegan package.<br> <strong>8</strong>) Distance-based Redundancy Analysis: Ordination analysis of samples and metadata vector overlays using capscale, also from the vegan package.<br> <br> Source code for the workflow can be found here:<br> https://github.com/sweltr/high-temp/blob/master/metadata.Rmd<br> <br> <br>