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Huebner, L. K.

Publications and source records attributed to Huebner, L. K..

3 recordsLinked to original sources

Multidisciplinary assessments of a potentially novel acute tissue loss disease on Florida Orbicella corals

Coral disease outbreaks are an increasingly common threat to reefs. While coral disease research is expanding rapidly, there are still monumental challenges in diagnosing and differentiating among the different diseases on a reef. We used a collaborative multidisciplinary approach to characterize a potentially novel disease affecting Orbicella faveolata colonies in the Florida Keys. We tagged and fate-tracked individual lesions for progression and cessation rates, reanalyzed in situ photographs of previously monitored corals to determine prevalence and seasonality, and assessed the efficacy of amoxicillin treatments. Samples collected from lesions as well as unaffected and healthy controls were used to examine microbiomes, assess nine coral pathological parameters via histology, and measure 19 symbiont-specific physiological metrics using transmission electron microscopy (TEM). Across all analyses, we concluded that the observed disease is unlikely to be SCTLD. Many, but not all, metrics had similarities to previous descriptions of white plague, and so we additionally conducted preliminary histology on presumed white plague samples of O. franksi for comparison. However, the dearth of quantifiable histology and TEM studies on white plague did not allow us to conclusively confirm or refute comparisons to white plague. Using the recommended coral disease nomenclature, we define this specific outbreak as "Orbicella acute tissue loss disease" (OATLD). We provide unprecedented, quantified descriptions across numerous metrics of both diseased and control colonies. We suggest that these data lay the groundwork for future efforts on this disease as well as a comprehensive set of parameters against which other diseases can be compared.

physiology↗

Novel metagenomics analysis suggests a Vibrio species is associated with stony coral tissue loss disease

Stony coral tissue loss disease (SCTLD) has devastated coral reefs off the coast of Florida and continues to spread throughout the Caribbean. Although a number of bacterial taxa have consistently been associated with SCTLD, no pathogen has been definitively implicated in the etiology of SCTLD. Previous studies have predominantly focused on the prokaryotic community through 16S rRNA sequencing of healthy and affected tissues. Here, we provide a different analytical approach by applying a bioinformatics pipeline to publicly available metagenomic sequencing samples of SCTLD lesions and healthy tissues from four stony coral species. To compensate for the lack of coral reference genomes, we used data from apparently healthy coral samples to approximate a host genome and healthy microbiome reference. These reads were then used as a reference to which we matched and removed reads from diseased lesion tissue samples, and the remaining reads associated only with disease lesions were taxonomically classified at the DNA and protein levels. For DNA classifications, we used a pathogen identification protocol originally designed to identify pathogens in human tissue samples, and for protein classifications, we used a fast protein sequence aligner. To assess the utility of our pipeline, a species-level analysis of a candidate genus, Vibrio, was used to demonstrate the pipelines effectiveness. Our approach revealed both complementary and unique coral microbiome members compared to a prior metagenome analysis of the same dataset. Article SummaryStudies of stony coral tissue loss disease (SCTLD), a devastating coral disease, have primarily used 16S rRNA sequencing approaches to identify putative pathogens. In contrast, this study applied human tissue pathogen identification protocols to SCTLD metagenomic DNA samples. Diseased samples were filtered of host sequences using a k-mer based method since host genomes were unavailable. DNA and protein-level classifications from this novel approach revealed both complementary and unique microbiome members compared to a prior metagenome analysis of the same dataset.

bioinformatics↗

A meta-analysis of the stony coral tissue loss disease microbiome finds key bacteria in lesions and unaffected tissue of diseased colonies

Stony coral tissue loss disease (SCTLD) has been causing significant whole colony mortality on reefs in Florida and the Caribbean. The cause of SCTLD remains unknown, with limited concurrence of SCTLD-associated bacteria among studies. We conducted a meta-analysis of SSU 16S ribosomal RNA gene datasets generated by 16 field and laboratory SCTLD studies to find consistent bacteria associated with SCTLD across disease zones (vulnerable, endemic, and epidemic), coral species, coral compartments (mucus, tissue, and skeleton), and disease states (apparently healthy colony tissue [AH], and unaffected [DU] and lesion [DL] tissue from diseased colonies). We also evaluated bacteria in seawater and sediment, which may be sources of SCTLD transmission. Although AH colonies in endemic and epidemic zones harbor bacteria associated with SCTLD lesions, and aquaria and field samples had distinct microbial compositions, there were still clear differences in the microbial composition among AH, DU, and DL in the combined dataset. Alpha diversity between AH and DL was not different; however, DU showed increased alpha diversity compared to AH, indicating that, prior to lesion formation, corals may undergo a disturbance to the microbiome. This disturbance may be driven by Flavobacteriales, which were especially enriched in DU. While Rhodobacterales and Peptostreptococcales-Tissierellales were prominent in structuring microbial interactions in DL. Peptostreptococcales-Tissierellales specifically may contribute to lesion progression through an alpha-toxin. We provide a consensus of SCTLD-associated bacteria both prior to and during lesion progression and identify how these taxa vary across studies, coral species, coral compartments, seawater, and sediment.

microbiology↗