ArticleMicroorganisms2021
Characterization of the Microbiome of Corals with Stony Coral Tissue Loss Disease along Florida's Coral Reef.
Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
21 citing papers in PubMed, 48 citations in OpenAlex.
- Temperate and filamentous bacteriophages as reservoirs of bacterial virulence in stony coral tissue loss disease.Coral reefs (Online) · 2026Article
- Key coral symbiont lineages (family Symbiodiniaceae) are differentially associated with stony coral tissue loss disease.ISME communications · 2026Article
- Markers of resilience to stony coral tissue loss disease and putative probiotic functions in the microbiomes of the coral,ISME communications · 2026Article
- Stony Coral Tissue Loss Disease Results in Persistent Microbial-Level Disturbances on Coral Reef Ecosystems.Environmental microbiology reports · 2025Article
- Genotype and symbiont composition rather than environment influence susceptibility to stony coral tissue loss disease in coral restoration broodstock.Scientific reports · 2025Article
- Heatwave-driven persistent microbes threaten the resilience of Mediterranean coral holobionts.Environmental microbiome · 2025Article
- Machine learning reveals distinct gene expression signatures across tissue states in stony coral tissue loss disease.Royal Society open science · 2025Article
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- Shifts in the microbiome and virome are associated with stony coral tissue loss disease (SCTLD).ISME communications · 2025Article
- Insights into the occurrence of phylosymbiosis and co-phylogeny in the holobionts of octocorals from the Mediterranean Sea and Red Sea.Animal microbiome · 2024Article
- Novel metagenomics analysis of stony coral tissue loss disease.G3 (Bethesda, Md.) · 2024Article
- Novel metagenomics analysis of stony coral tissue loss disease.bioRxiv : the preprint server for biology · 2024Article
- Microbiomes of three coral species in the Mexican Caribbean and their shifts associated with the Stony Coral Tissue Loss Disease.PloS one · 2024Article
- Unveiling microbiome changes in Mediterranean octocorals during the 2022 marine heatwaves: quantifying key bacterial symbionts and potential pathogens.Microbiome · 2023Article
- Filamentous virus-like particles are present in coral dinoflagellates across genera and ocean basins.The ISME journal · 2023Article
- Shifts in the coral microbiome in response toApplied and environmental microbiology · 2023Article
- Microorganisms and dissolved metabolites distinguish Florida's Coral Reef habitats.PNAS nexus · 2023Article
- A meta-analysis of the stony coral tissue loss disease microbiome finds key bacteria in unaffected and lesion tissue in diseased colonies.ISME communications · 2023Article
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Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Stony coral tissue loss disease (SCTLD) is an emergent and often lethal coral disease that was first reported near Miami, FL (USA) in 2014. Our objective was to determine if coral colonies showing signs of SCTLD possess a specific microbial signature across five susceptible species sampled in Florida's Coral Reef. Three sample types were collected: lesion tissue and apparently unaffected tissue of diseased colonies, and tissue of apparently healthy colonies. Using 16S rRNA high-throughput gene sequencing, our results show that, for every species, the microbial community composition of lesion tissue was significantly different from healthy colony tissue and from the unaffected tissue of diseased colonies. The lesion tissue of all but one species (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.