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📘 This repository contains data and code for the study titled:

“Stony coral tissue loss disease results in persistent microbial-level disturbances on coral reef ecosystems”

Specifically, we (1) analyzed diversity and co-occurrence patterns over time, (2) predicted functional shifts in microbial communities in response to SCTLD, and (3) evaluated the persistence of SCTLD-associated bacterial biomarkers (Rosales et al. 2023) across sites and disease stages.

📂 The Data/ directory includes the associated metadata for:

  1. The sequence data (meta_EPA2.csv)
  2. Benthic habitat data (CREMP_percentcover_taxagroups.csv, CREMP_LTA.csv, CREMP_Counts.csv, and DRM.T1T2data.LK.csv)
  3. Compressed taxonomy (tax_EPA2.qza)
  4. Compressed Amplicon Sequence Variant counts (merged_tables_BacArc_fill_EPA2.qza).

🐍 The analysis code is provided as Python notebooks, allowing outputs to be viewed alongside the code.

🧾 If notebooks do not render properly on GitHub, you can view them using nbviewer.

About

To better understand how SCTLD influences reef microbiomes and identify consistent microbial signatures of the disease, we tracked microbiome changes in apparently healthy corals, seawater, and sediment at three Lower Keys reefs from June 2018 through epidemic and endemic stages.

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