Data for spatial analysis of growth anomaly lesions on Montipora capitata coral colonies using 3D reconstruction techniques

Burns, John H. R.; Alexandrov, Theodore; Ovchinnikova, Katya; Gates, Ruth D.; Takabayashi, Misaki

doi:10.1016/j.dib.2016.09.009

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Other relevant aspect of this field that can be improved in the future is the incorporation of open science practices, making available annotated coral disease specific datasets—represented in our network as the ‘database’ topic—e.g., Caldwell et al., 2016a; Burns et al., 2016, or the Global Coral Disease Database (https://www.unep-wcmc.org/resources-and-data/global-coral-disease-database), especially considering that we found the topic ‘baseline’ as an important node in the network but most of this data is not freely available, and it would represent an invaluable resource for further analysis.…”

Section: Discussionmentioning

confidence: 99%

Systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory

Montilla

Ascanio

Verde

et al. 2019

PeerJ

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Coral disease research encompasses five decades of undeniable progress. Since the first descriptions of anomalous signs, we have come to understand multiple processes and environmental drivers that interact with coral pathologies. In order to gain a better insight into the knowledge we already have, we explored how key topics in coral disease research have been related to each other using network analysis. We reviewed 719 papers and conference proceedings published from 1965 to 2017. From each study, four elements determined our network nodes: (1) studied disease(s); (2) host genus; (3) marine ecoregion(s) associated with the study site; and (4) research objectives. Basic properties of this network confirmed that there is a set of specific topics comprising the majority of research. The top five diseases, genera, and ecoregions studied accounted for over 48% of the research effort in all cases. The community structure analysis identified 15 clusters of topics with different degrees of overlap among them. These clusters represent the typical sets of elements that appear together for a given study. Our results show that while some coral diseases have been studied considering multiple aspects, the overall trend is for most diseases to be understood under a limited range of approaches, e.g., bacterial assemblages have been considerably studied in Yellow and Black band diseases while immune response has been better examined for the aspergillosis-Gorgonia system. Thus, our challenge in the near future is to identify and resolve potential gaps in order to achieve a more comprehensive progress on coral disease research.

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Section: Discussionmentioning

confidence: 99%

Systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory

Montilla

Ascanio

Verde

et al. 2019

PeerJ

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“…Three-dimensional reef mapping and genomic analyses have been performed independently to investigate coral communities at Wai' ōpae, yet no studies have examined the 3D distribution of molecules on coral colonies at this site [14,21,22]. Moreover, this study employs a novel approach of combining molecular and photogrammetry tools to enable 3D molecular cartography on an assemblage of coral colonies [23].…”

Section: Introductionmentioning

confidence: 99%

Molecular Cartography of a Hawaiian Coral Assemblage

Nakoa,

Burns,

Steward

et al. 2023

Diversity

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Coral reefs are declining due to multiple factors including overfishing, anthropogenic pollution, and ocean acidification. Diseases affecting corals have increased in recent decades, yet the etiology of nearly all diseases remains poorly understood. Here, we investigated three-dimensionally mapped molecules and microbes from healthy and diseased coral tissue sampled across the landscape of a coral assemblage at the Wai‘ōpae tide pools, Southeast Hawai‘i Island. A 3D molecular cartographic platform was used in combination with molecular networking tools to characterize healthy coral tissue and tissue affected by the disease growth anomaly (GA). Tissues of healthy Montipora flabellata and Montipora capitata exhibited higher microbial diversity compared to Porites lobata and GA-affected M. capitata corals. Increases in relative abundance of Ulvophyceae and sterols were observed in GA lesions, while chlorophyll decreased. Conversely, healthy coral tissues were characterized by the presence of cyanobacteria in the order of Stramenopiles, in addition to higher relative chlorophyll levels. Leveraging innovative molecular cartography provides new insight into molecular characteristics of coral colonies, and helps to better understand how diseases affect the molecular landscape of corals.

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Investigating the spatial distribution of growth anomalies affecting Montipora capitata corals in a 3-dimensional framework

Burns

Alexandrov

Ovchinnikova

et al. 2016

Journal of Invertebrate Pathology

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Diseases have caused significant reductions in coral populations throughout the global ocean. Despite a substantial effort to thoroughly characterize the epizootiology and etiology of coral diseases, little is known about the distribution and spatial clustering of disease lesions on affected coral colonies. This study investigated spatial clustering of the coral disease, growth anomaly (GA), which exhibits high levels of prevalence and severity in Montipora capitata and other corals at Wai'ōpae, southeast Hawai'i Island. Like many other coral diseases, the patterns of disease spread and transmissibility of GA remains unknown. We utilized cutting-edge 3D reconstruction techniques to map the precise spatial distribution of GAs on affected coral colonies. Three statistical measures, Ripley's K, Moran's I, and the Kolmogorov-Smirnov test were used to determine if the GA lesions were distributed in a non-random pattern. Each measure showed the GA lesions exhibited distinct spatial clustering on all ten affected colonies analyzed in this study. Our study is not only the first 3D analysis of intra-colony disease clustering, but also provides a novel approach for investigating and quantifying levels of disease clustering in order to improve our understanding of coral disease epizootiology, transmission, and etiology.

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Data for spatial analysis of growth anomaly lesions on Montipora capitata coral colonies using 3D reconstruction techniques

Cited by 4 publications

References 2 publications

Systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory

Systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory

Molecular Cartography of a Hawaiian Coral Assemblage

Investigating the spatial distribution of growth anomalies affecting Montipora capitata corals in a 3-dimensional framework

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