About

This repository contains raw and clean high coverage whole-genome variant (Montipora only), proteomic, and metabolomic datasets for Montipora, Pocillopora, and Acropora colonies collected from Ulithi Atoll, Yap State, FSM in June 2023, along with photographs of sampling sites and sampled colonies.

Dataset is associated with Chille et al. 2026. See the linked GitHub repository for scripts related to the generation and QC of high coverage WGS, proteomic, and metabolomic datasets. Raw sequencing data for Montipora has been deposited in the NCBI Sequence Read Archive under Bioproject PRJNA1121902.

Abstract

Background: Coral reefs are among the most biodiverse ecosystems on Earth yet face an increasing risk of collapse under climate change and intensifying anthropogenic pressures. Although there is strong evidence that stressors such as overfishing, sedimentation, and wastewater runoff, can drive shifts in coral community structure, few studies have investigated the molecular mechanisms underlying these shifts. Integrating data across multiple layers of biological organization, from the genome to the proteome and metabolome, offers a powerful approach to understanding how coral physiology and resilience are impacted by human activities.

Findings: Here, we present high-coverage whole genome sequencing (Montipora only) together with untargeted metabolomic and proteomic datasets from three coral genera (Acropora, Pocillopora, and Montipora) that inhabit Ulithi Atoll, Yap State, FSM. Ulithi Atoll is an ideal system for investigating how anthropogenic pressures influence coral molecular ecology and adaptation, with extensive historical ecological data available to connect multi-omics data with macroecological trends. Following data cleaning and quality control, all datasets exhibited minimal technical variation among samples, providing a comprehensive baseline for future research on coral reef resilience across a mosaic of natural and anthropogenic stressors.

Conclusions: These data provide a resource for examining how anthropogenic pressures influence coral physiology and resilience across environmental gradients. They also allow the identification of biomarkers of chronic stress that may inform the development of point-of-care diagnostic tools for coral health and contribute to