Metabolomic profiles of stony coral species from the Dry Tortugas National Park display inter- and intraspecies variation DOI Creative Commons
Jessica M. Deutsch, Alyssa M. Demko, Olakunle A. Jaiyesimi

и другие.

mSystems, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 19, 2024

Coral reefs are experiencing unprecedented loss in coral cover due to increased incidence of disease and bleaching events. Thus, understanding mechanisms susceptibility resilience, which vary by species, is important. In this regard, untargeted metabolomics serves as an important hypothesis-building tool enabling the delineation molecular factors underlying or resilience. study, we characterize metabolomes four species visually healthy stony corals, including

Язык: Английский

Discovery of Peptidic Siderophore Degradation by Screening Natural Product Profiles in Marine-Derived Bacterial Mono- and Cocultures DOI Creative Commons

Mónica Monge-Loría,

Weimao Zhong,

Nadine H. Abrahamse

и другие.

Biochemistry, Год журнала: 2025, Номер unknown

Опубликована: Янв. 14, 2025

Coral reefs are hotspots of marine biodiversity, which results in the synthesis a wide variety compounds with unique molecular scaffolds, and bioactivities, rendering an ecosystem interest. The chemodiversity stems from intricate relationships between inhabitants reef, as chemistry produced partakes intra- interspecies communication, settlement, nutrient acquisition, defense. However, coral declining at unprecedented rate due to climate change, pollution, increased incidence pathogenic diseases. Among pathogens, Vibrio spp. bacteria key players resulting high mortality. Thus, alternative strategies such application beneficial isolated disease-resilient species being explored lower burden species. Here, we apply coculturing coral-derived leverage recent advancements untargeted metabolomics discover engineerable traits. By chasing chemical change coculture, report Microbulbifer spp.-mediated degradation amphibactins, by sequester iron. Additional biochemical experiments revealed that occurs peptide backbone requires enzyme fraction Microbulbifer. A reduction iron affinity is expected loss one Fe(III) binding moiety. Therefore, hypothesize this shapes community behaviors it pertains limiting environment, survival. Furthermore, sp. suppressed natural product bacteria. Understanding mechanisms behind these interactions will enable engineering probiotic capable lowering burdens during heat waves disease.

Язык: Английский

Процитировано

0

When Microbial Interactions Go Wrong: Coral Bleaching, Disease, and Dysbiosis DOI
Julie L. Meyer, Michael Sweet, Blake Ushijima

и другие.

Coral reefs of the world, Год журнала: 2025, Номер unknown, С. 169 - 180

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Ecosystem Microbiology of Coral Reefs DOI

Kim-Isabelle Mayer,

Luigi Colin,

Christian R. Voolstra

и другие.

Coral reefs of the world, Год журнала: 2025, Номер unknown, С. 131 - 144

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Prevalence of Diseases in Scleractinian Corals of the Southern Caribbean of Costa Rica DOI

Shanttal Valeria Rodríguez Esquivel,

Fabio Quesada‐Perez,

Nidya Nova-Bustos

и другие.

Caribbean Journal of Science, Год журнала: 2025, Номер 55(1)

Опубликована: Май 27, 2025

Язык: Английский

Процитировано

0

Evaluating the effectiveness of field-based probiotic treatments for stony coral tissue loss disease in southeast Florida, USA DOI Creative Commons
Kelly A. Pitts,

Mackenzie Scheuermann,

Jonathan S. Lefcheck

и другие.

Frontiers in Marine Science, Год журнала: 2025, Номер 12

Опубликована: Июнь 5, 2025

Stony coral tissue loss disease (SCTLD) has spread throughout Florida’s Coral Reef, causing extensive mortality of over 30 species reef-building corals, and rapidly to many other countries territories the Caribbean. Current treatments for SCTLD, including a proprietary paste mixed with antibiotic amoxicillin, do not provide protection from future infections may select antibiotic-resistant pathogenic bacteria. In contrast, beneficial microorganisms (i.e., probiotics), directly treat or act as prophylactics corals exposed SCTLD. This study investigated use bacterium Pseudoalteromonas sp. McH1-7, previously isolated SCTLD-resistant fragment Montastraea cavernosa , potential probiotic treatment SCTLD-infected M. colonies in wild. We developed tested two deployment methods: (1) injection seawater suspension into weighted bag placed whole colony; (2) sodium alginate-based that was applied each lesion. After treatment, progression colony routinely monitored using three-dimensional photogrammetry 2.5 years. Slurries mucus samples were taken healthy diseased before weeks after three months identify possible shifts bacterial archaeal communities. McH1–7 successfully slowed SCTLD lesion years following when delivered whole-colony technique. Our assessment microbiome showed effective without dominating communities among infected corals. treated lost more than control paste, indicating lesion-specific is at stopping Probiotic inoculations via technique path toward slowing due

Язык: Английский

Процитировано

0

Novel metagenomics analysis of stony coral tissue loss disease DOI Creative Commons
Jakob Heinz, Jennifer Lu, Lindsay K. Huebner

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Янв. 3, 2024

Stony coral tissue loss disease (SCTLD) has devastated reefs off the coast of Florida and continues to spread throughout Caribbean. Although a number bacterial taxa have consistently been associated with SCTLD, no pathogen definitively implicated in etiology SCTLD. Previous studies predominantly focused on prokaryotic community through 16S rRNA sequencing healthy affected tissues. Here, we provide different analytical approach by applying bioinformatics pipeline publicly available metagenomic samples SCTLD lesions tissues from four stony species. To compensate for lack reference genomes, used data apparently approximate host genome microbiome reference. These reads were then as which matched removed diseased lesion samples, remaining only taxonomically classified at DNA protein levels. For classifications, identification protocol originally designed identify pathogens human fast sequence aligner. assess utility our pipeline, species-level analysis candidate genus,

Язык: Английский

Процитировано

3

Trade-off between photosymbiosis and innate immunity influences cnidarian’s response to pathogenic bacteria DOI Creative Commons
Madison A. Emery, Kelsey M. Beavers, Emily W. Van Buren

и другие.

Proceedings of the Royal Society B Biological Sciences, Год журнала: 2024, Номер 291(2032)

Опубликована: Окт. 1, 2024

Mutualistic relationships with photosynthetic organisms are common in cnidarians, which form an intracellular symbiosis dinoflagellates the family Symbiodiniaceae. The establishment and maintenance of these symbionts associated suppression key host immune factors. Because this, there potential trade-offs between nutrition that cnidarian hosts gain from their ability to successfully defend themselves pathogens. To investigate trade-offs, we utilized facultatively symbiotic polyps upside-down jellyfish Cassiopea xamachana exposed aposymbiotic pathogen Serratia marcescens . Symbiotic had a lower probability survival following S. exposure. Gene expression analyses 24 hours exposure indicate animals mounted more damaging response, higher levels inflammation oxidative stress likely resulting severe disruptions cellular homeostasis. Underlying this response may be differences constitutive pathogen-induced transcription factors rather than broadscale during symbiosis. Our findings polyps, hosting limits C. xamachana’ s survive exposure, indicating trade-off immunity has implications for coral disease research.

Язык: Английский

Процитировано

2

Novel metagenomics analysis of stony coral tissue loss disease DOI Creative Commons
Jakob Heinz, Jennifer Lu, Lindsay K. Huebner

и другие.

G3 Genes Genomes Genetics, Год журнала: 2024, Номер 14(8)

Опубликована: Июнь 20, 2024

Abstract Stony coral tissue loss disease (SCTLD) has devastated reefs off the coast of Florida and continues to spread throughout Caribbean. Although a number bacterial taxa have consistently been associated with SCTLD, no pathogen definitively implicated in etiology SCTLD. Previous studies predominantly focused on prokaryotic community through 16S rRNA sequencing healthy affected tissues. Here, we provide different analytical approach by applying bioinformatics pipeline publicly available metagenomic samples SCTLD lesions tissues from 4 stony species. To compensate for lack reference genomes, used data apparently approximate host genome microbiome reference. These reads were then as which matched removed diseased lesion samples, remaining only taxonomically classified at DNA protein levels. For classifications, identification protocol originally designed identify pathogens human fast sequence aligner. assess utility our pipeline, species-level analysis candidate genus, Vibrio, was demonstrate pipeline's effectiveness. Our revealed both complementary unique members compared prior metagenome same dataset.

Язык: Английский

Процитировано

1

Machine Learning Approaches for Classifying and Characterizing Coral Diseases DOI
Emily W. Van Buren, Kelsey M. Beavers,

Mariah N. Cornelio

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Сен. 19, 2024

Abstract Background: Anthropogenic climate change has had devastating effects on the Florida and Caribbean reef systems, primarily due to increased disease outbreaks. Climate contributes rising frequency of marine diseases by expanding pathogen ranges heightening host susceptibility environmental stress. Specifically, there been a stark rise in events targeting multiple coral species, resulting high mortality rates declining biodiversity. Although many these present similar visual symptoms, they exhibit varying require distinct treatment protocols. Advances transcriptomics research have enhanced our understanding responses different diseases, but more sophisticated methods are required classify that appear visually similar. Results: This study provides first machine learning algorithm can two common diseases: stony tissue loss (SCTLD) white plague (WP). This also identifies 463 biomarkers, with 275 unique SCTLD 167 WP. These biomarkers highlight differences immune algorithms were tested validated samples collected in situ, supporting biomarker efficacy identified for classification. The final model was built partial least squares discriminant analysis highly predictive an AUC 0.9895 low error rates. Conclusion: study provides diagnostic tool reliably distinguishes between phenotypically provide characterizations

Язык: Английский

Процитировано

0

Assessment of nutrient amendments on stony coral tissue loss disease in Southeast Florida DOI Creative Commons
Ashley M. Carreiro, Ryan J. Eckert, Alexis B. Sturm

и другие.

Frontiers in Marine Science, Год журнала: 2024, Номер 11

Опубликована: Окт. 10, 2024

Florida’s coral reefs are facing a multi-year outbreak of stony tissue loss disease (SCTLD) with dramatic consequences for communities. However, potential anthropogenic and environmental drivers SCTLD progression severity remain poorly understood. This study was designed to determine the impacts nutrient amendments on spread in Southeast Florida. In situ fertilizer 30 g Osmocote™ slow-release were used mimic effects agricultural urban runoff. Fifteen healthy thirty SCTLD-affected Montastraea cavernosa colonies tagged divided into three experimental groups: apparently colonies, nutrient-amended control colonies. lesion progression, loss, prevalence tracked over 30-day amendment period an additional 40 days after removal if there any latent or recovery effects. Coral time using Structure-from-Motion photogrammetry recorded from diver surveys within 3-m radius surrounding five centroid each group. Throughout experiment, temperature, concentrations, status also monitored. Ultimately, we observed no significant differences between groups, suggesting that had effect during this experiment

Язык: Английский

Процитировано

0