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Abstract Coral diseases contribute to the rapid decline in coral reefs worldwide, and yet coral bacterial pathogens have proved difficult to identify because 16S rRNA gene surveys typically identify tens to hundreds of disease‐associate bacteria as putative pathogens. An example is white band disease (WBD), which has killed up to 95% of the now‐endangered CaribbeanAcroporacorals since 1979, yet the pathogen is still unknown. The 16S rRNA gene surveys have identified hundreds of WBD‐associated bacterial amplicon sequencing variants (ASVs) from at least nine bacterial families with little consensus across studies. We conducted a multi‐year, multi‐site 16S rRNA gene sequencing comparison of 269 healthy and 143 WBD‐infectedAcropora cervicornisand used machine learning modelling to accurately predict disease outcomes and identify the top ASVs contributing to disease. Our ensemble ML models accurately predicted disease with greater than 97% accuracy and identified 19 disease‐associated ASVs and five healthy‐associated ASVs that were consistently differentially abundant across sampling periods. Using a tank‐based transmission experiment, we tested whether the 19 disease‐associated ASVs met the assumption of a pathogen and identified two pathogenic candidate ASVs—ASV25Cysteiniphilum litoraleand ASV8Vibriosp. to target for future isolation, cultivation, and confirmation of Henle‐Koch's postulate via transmission assays.
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This content will become publicly available on February 20, 2026
Antibiotic pretreatment inhibits white band disease infection by suppressing the bacterial pathobiome
Diseases have caused unprecedent mortality in Caribbean coral communities. White band disease (WBD) has killed up to 95% of all endangered Caribbean Acroporids since it was first observed in 1979. Despite the devastating impacts of WBD, its etiology is currently unknown although recent research identified two bacterial strains – ASVs classified as aCysteiniphilum litoraleand aVibriosp., as the most likely pathogens. To better understand the disease etiology of WBD, we pretreated corals with antibiotics to determine how prophylactic use of antibiotics impacts the transmission of WBD in a replicated tank-based experiment. We found the prophylactic use of antibiotics led to significantly reduced infection rates in disease exposed corals with a 30-percentage point decrease in the infection rate. Analyses of 16S rRNA amplicon gene sequencing data in the disease exposed corals demonstrated that antibiotic pretreatment resulted in coral microbiomes which were less speciose and contained relatively fewerVibriospp. than untreated corals, indicating that the benefit of the antibiotic pretreatment was its ability to reduce the relative abundance of intrinsic secondary opportunists and/or opportunistic pathogens suggesting their likely importance to the etiology of WBD. We propose two distinct etiologies involving either an extrinsic keystone pathogen (Cysteiniphilum litorale) or overgrowth of intrinsic opportunistic pathogens (Vibriospp.). Future research should isolate these strains to confirm the etiology of white band disease.
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- Award ID(s):
- 1924145
- PAR ID:
- 10623673
- Publisher / Repository:
- Frontiers
- Date Published:
- Journal Name:
- Frontiers in Marine Science
- Volume:
- 12
- ISSN:
- 2296-7745
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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