Immune parameter data

This archive file contains the data files for the expression levels of the range of immune parameters presented in the manuscript: 1) Chromoprotein expression levels, 2) Fluorescent protein expression levels, 3) Immune gene expression levels and 4) PO and tpPO activity levels. Each file contains a description of the samples and sample names used

Fluorescent Protein Analysis Methodology

This archive file contains the files required for the fluorescent protein spectral analysis. The input file Wounding_Aaspera_fl.csv containing the raw fluorescence values and sample protein concentration is provided along with the reference fluorescent protein data file modelspecs_interp_25sh.csv (based on the spectrum of purified Acropora millepora fluorescent proteins) and the spectral decomposition script specs_regression_WF.R. The reference fluorescent protein data and the script were provided by Mikhail Matz

16S rRNA amplicon sequencing - QIIME analysis

This archive file contains all input and output files required for and produced by the QIIME pipeline in the 'dataset' folder. The quality file Wound.qual and the sequence file Wound.fna along with the mapping files Map.txt and Map_corrected2.txt are the primary input files. Output files include the complete selection of OTU tables (otu_table.biom, Normalised_otu_table.biom as well the weighted and unweighted Unifrac tables). Additional special files required for analysis can be found in the 'input' folder. The script 'QIIME Analysis script.txt' was used for data analysis and the file 'Sample names.txt' should be used to determine the biological sample / treatment corresponding to each sample. Sequences have been deposited in the NCBI Sequence Read Archive (SRA) database under study accession number SRP052969

Datasets: Lamb et al. Seagrass ecosystems reduce exposure to pathogens_Datasets

Includes 3 datasets for scripts used in Lamb et al. Seagrass ecosystems reduce exposure to pathogens_Scripts.R: (1) Enterococcus Assays (Entero.csv), (2) Potential pathogens of humans, fishes and marine invertebrates using sequencing of 16S rRNA gene (Pathogens.csv) and (3) Prevalence of coral diseases (Coral disease.csv)

Scripts: Lamb et al. Seagrass ecosystems reduce exposure to pathogens_Scripts

R scripts used in statistical analyses for Figs. 1- 3 and corresponding Supplemental Materials