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

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,...

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Autores principales: Montilla, Luis M., Ascanio, Alfredo, Verde, Alejandra, Croquer, Aldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555395/
https://www.ncbi.nlm.nih.gov/pubmed/31198644
http://dx.doi.org/10.7717/peerj.7041
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author Montilla, Luis M.
Ascanio, Alfredo
Verde, Alejandra
Croquer, Aldo
author_facet Montilla, Luis M.
Ascanio, Alfredo
Verde, Alejandra
Croquer, Aldo
author_sort Montilla, Luis M.
collection PubMed
description 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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spelling pubmed-65553952019-06-13 Systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory Montilla, Luis M. Ascanio, Alfredo Verde, Alejandra Croquer, Aldo PeerJ Ecology 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. PeerJ Inc. 2019-06-04 /pmc/articles/PMC6555395/ /pubmed/31198644 http://dx.doi.org/10.7717/peerj.7041 Text en ©2019 Montilla et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Ecology
Montilla, Luis M.
Ascanio, Alfredo
Verde, Alejandra
Croquer, Aldo
Systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory
title Systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory
title_full Systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory
title_fullStr Systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory
title_full_unstemmed Systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory
title_short Systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory
title_sort systematic review and meta-analysis of 50 years of coral disease research visualized through the scope of network theory
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555395/
https://www.ncbi.nlm.nih.gov/pubmed/31198644
http://dx.doi.org/10.7717/peerj.7041
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