Table of Contents

• Coverage
• Dataset Description
  • Methods & Sampling
  • Data Processing Description
  • BCO-DMO Processing Description
• Parameters
• Instruments
• Project Information
• Funding

To sample each coral, 6-8 polyps were excised from outplanted corals using bone cutters and temporarily stored in individual Whirl-Paks on ice until reaching shore. Upon shore, samples were transferred from Whirl Parks using flame-sterilized tweezers placed in a 1.5mL microcentrifuge tube containing 1mL of DNA/RNA shield (Zymo Research, R1100-250, Irvine, CA, USA). Samples were transferred to a -80℃ freezer for long-term storage. In preparation for DNA extractions, the samples were removed from the -80℃ freezer and thawed on ice. With flame-sterilized tweezers, half of the biomass was transferred to a Disruptor Tube (Omega Bio-Tek, Norcross, GA, USA), the other half was kept as a bioarchive and returned to -80℃. DNA from each sample was isolated utilizing the E.Z.N.A.® Soil DNA Kit (Omega Bio-Tek, Norcross, GA, USA) with slight modifications to the manufacturer’s protocol to increase yield. DNA isolates were stored at -80℃. DNA quantity and quality was assessed utilizing a NanoDrop spectrophotometer (Thermo Fisher Scientific™, Waltham, MA, USA). Samples were submitted to MR DNA for 16S rRNA PCR amplification and sequencing (www.mrdnalab.com, Shallowater, TX, USA). Amplification of the 16S rRNA gene was conducted using the 515F-806R primer set, which targets the V4 region of the 16S rRNA, with barcodes on the forward primer (Apprill et al., 2015). The 16S rRNA gene V4 variable region was amplified via a 30-cycle PCR using the HotStarTaq Plus Master Mix Kit (Qiagen, Germantown, MD) under the following conditions: 95°C for 5 minutes, followed by 30 cycles of 95°C for 30 seconds, 53°C for 40 seconds and 72°C for 1 minute, after which a final elongation step at 72°C for 10 minutes was performed. After amplification, PCR products were checked in 2% agarose gel to determine the success of amplification and the relative intensity of bands. Samples were multiplexed using unique dual indices and were pooled together in equal proportions based on their molecular weight and DNA concentrations. Pooled samples were purified using calibrated Ampure XP beads (Beckman Coutler, CA, USA). Then the pooled and purified PCR product was used to prepare an Illumina DNA library. A PCR negative control was included in library preparation but did not produce a viable library. Paired-end sequencing was performed at MR DNA on an Illumina MiSeq following the manufacturer's guidelines.

Sampling locations:

Mote's in situ nursery. Approximate central coordinate 24.56257, -81.40009.
Site in Looe Key National Marine Sanctuary: U-10, U-11, and U-12. Approximate central coordinate 24.54093, -81.43539.
Site in Looe Key National Marine Sanctuary: Unnamed site west of U-11. Approximate central coordinate 24.54069, -81.43652.

No processing was performed on raw reads after sequencing before submission to NCBI.

Five files were joined together on unique columns. Four files were submitted and one file was downloaded with NCBI with extra metadata related to the 4 submitted files.

This is the process to create the final dataset.

1) In the file Accessions_outplant_16S.tsv, columns related to the files rather than the data were removed. Given the accession numbers, the user will be able to find and download relevant files. The columns about the instrument and not the data were removed since instrument metadata is noted in the instruments section on the dataset page.

Columns removed: object_status, filetype, filename, filename2, filename3, filename4, assembly, and fasta_file. Along with platform, and instrument model.

2) In the file outplant_MIMARKS.survey.host-associated.6.0.xlsx, two empty columns named sample_title and bioproject_accession were removed.

Columns were added giving the term equivalent of *env_broad_scale and *env_local_scale notations.

Columns removed: sample_title and bioproject_accession

3) In the file SRA_metadata_outplant.xlsx, columns related to the files rather than the data were removed. Given the accession numbers, the user will be able to find and download relevant files. Columns about the instrument and not the data were removed since instrument metadata is noted on the dataset page.

Columns removed: filetype, filename, filename2, filename3, filename4, assembly, and fasta_file. Along with platform, and instrument model.

4) The data manager downloaded a file from NCBI using their SRA Run Selector for the BioProject. The file contains experiment SRX accession numbers to include into the final data file. The file is called SraRunInfo_from_ncbi.csv.

It contains the columns Run, Experiment, LibraryName, LibraryStrategy, LibrarySelection, LibrarySource, LibraryLayout, SRAStudy, BioProject, Sample, BioSample, TaxID, ScientificName, SampleName, Submission.

The following columns that are NCBI specific columns and a taxonomic id were removed.

Columns removed: TaxID, LibraryStrategy, LibrarySelection, LibrarySource, and LibraryLayout

5) To start the joins of all the files, the file SraRunInfo_from_ncbi.csv was joined with SraRunInfo_from_ncbi.csv on the BioSample accession number.

Duplicate columns were removed.

The resulting joined table was named join_1.

6) For the second join, table join_1 was joined with the file SRA_metadata_outplant.xlsx on the column sample_name.

Duplicate columns along with NCBI specific columns library_strategy, library_source, library_selection, and library_layout were removed.

The resulting joined table was named join_2.

7) For the third join, table join_2 was joined with the file outplant_MIMARKS.survey.host-associated.6.0.xlsx on the column sample_name.

The duplicate column sample_name was removed.

The resulting joined table was named join_3.

8) For the fourth join, table join_3 was joined with the file metadata_outplant_with_ELS.txt on the column library_id and sample_id.

Duplicate columns were removed. The columns *sample_name, new_id, and sample_id have some variance in naming so they are not exact duplicate columns and were kept in the table.

The resulting joined table was named 924594_v1_rrna_seq_outplanted_acropora_cervicornis_sexual_recruits because it will be the final file name.

9) Field names were renamed to BCO-DMO naming conventions. Asterix were removed and periods were replaced with underscores.

10) The combined lat and lon field with direction was converted to individual columns lat and lon without direction. The lon column was converted to a negative value because the lon direction is West.

11) The collection_date was converted from the format day-Month abbreviation-year where the day is not padded and the year is a two digit year to the format of %Y-%m-%d where the day is padded and the year is a 4 digit year.

12) Columns were removed that that were reformatted such as the lat_lon column and the original collection_date column.

13) The metadata in the table was reordered to be at the start of the dataset and the data at the end of the dataset.

NSF Award Abstract:
Historically one of the most abundant reef-building corals in Florida and the wider Caribbean, the staghorn coral, Acropora cervicornis, is now listed as critically endangered primarily because of previous and reoccurring disease events. Understanding the holistic mechanisms of disease susceptibility in this coral is a top concern of practitioners engaged in conservation and restoration. The investigators recently discovered a group of parasitic bacteria common within the microbial community of A. cervicornis that can reduce the growth and health of corals when reefs are exposed to nutrient polluted waters. Determining how interactions among the coral host, this parasitic microbe, and the environment are linked to disease susceptibility provides critical insight and greater success of future restoration efforts. Yet the complexity of animal microbiomes and the contextual nature of disease make it difficult to identify the specific cause of many disease outbreaks. In this project, the investigators conduct experiments to explore the interactions among different genetic strains of coral and these bacteria in various nutrient scenarios to better understand how this bacterium affects the susceptibility of staghorn coral to diseases. This project also characterizes the genomics, host range, and local and global distribution of this bacterial coral parasite to determine how its evolutionary history and physiology drive disease susceptibility in this important coral species. The project trains two postdocs, one technician, and seven students (one graduate, six undergraduates) in integrative sciences that span marine science, physiology, genetics, microbiology, omics, and statistical modeling. A research-based after school program in Florida is expanded to include microbiology and create a new program module called Microbial warriors, with a focus on women in science. The investigators produce documentary style films and outreach materials to broadly communicate the project science and conservation efforts to local and national communities via presentations at Mote Marine Lab and the Oregon Museum of Science and Industry. This project is co-funded by the Biological Oceanography Program in the Division of Ocean Sciences and the Symbiosis, Defense, and Self-recognition Program in the Division of Integrative Organismal Systems.

The investigators recently identified a marine Rickettsiales bacterium that, in corals, can be stimulated to grow in the presence of elevated nitrogen and phosphorous species. Based on genomic reconstruction and phylogeography, this bacteria is classified as a novel bacterial genus, Candidatus Aquarickettsia, and showed that it is broadly associated with scleractinian corals worldwide. Importantly, using a model system, the endangered Acropora cervicornis coral, the team has also shown that the growth of this bacterium in vivo is associated with reduced host growth and increased disease susceptibility. This project aims to more completely evaluate the mechanisms behind and impacts of these inducible infections on coral physiology and host-bacterial symbiosis. The investigators conduct nutrient dosing experiments on different coral genotypes with various Rickettsiales abundances. Using a range of omics and microscopy techniques, the team quantifies the resulting effects on holobiont phenotypes. The investigators are also comparing the genomes of these bacteria in the different Acroporid hosts and other coral genera to evaluate facets of the bacterium's evolutionary history, as well as to identify possible mechanisms of its proliferation, virulence, and host specificity. This interdisciplinary project mechanistically links nutrients to temporal changes in host, algal symbiont, and bacterial parasite physiology and also explain why there is natural variation in these responses by exploring how host and parasite genotypes and growth dynamics combined with environmental contextuality alter holobiont phenotypes.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.