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Journal Article

Microbial bioindicators of Stony Coral Tissue Loss Disease identified in corals and overlying waters using a rapid field‐based sequencing approach

Cynthia C. Becker; Marilyn Brandt; Carolyn A. Miller; Amy Apprill
Environmental Microbiology · Vol. 24, Issue 3 · pp. 1166-1182 · 2022

Abstract

Summary Stony Coral Tissue Loss Disease (SCTLD) is a devastating disease. Since 2014, it has spread along the entire Florida Reef Tract and into the greater Caribbean. It was first detected in the United States Virgin Islands in January 2019. To more quickly identify microbial bioindicators of disease, we developed a rapid pipeline for microbiome sequencing. Over a span of 10 days we collected, processed and sequenced coral and near‐coral seawater microbiomes from diseased and apparently healthy Colpophyllia natans , Montastraea cavernosa , Meandrina meandrites and Orbicella franksi . Analysis of bacterial and archaeal 16S ribosomal RNA gene sequences revealed 25 bioindicator amplicon sequence variants (ASVs) enriched in diseased corals. These bioindicator ASVs were additionally recovered in near‐coral seawater ( Vibrio , Arcobacter , Rhizobiaceae and Rhodobacteraceae sequences were related to disease‐associated coral bacteria and lineages novel to corals. Additionally, four ASVs ( Algicola , Cohaesibacter , Thalassobius and Vibrio ) were matches to microbes previously associated with SCTLD that should be targets for future research. Overall, this work suggests that a rapid sequencing framework paired with specialized databases facilitates identification of microbial disease bioindicators.

Bibliographic Information

JournalEnvironmental Microbiology
PublisherWiley
Publication Date2022-03-01
Publication Year2022
Volume24
Issue3
Pages1166-1182
Document TypeJournal Article
Print ISSN1462-2912
eISSN1462-2920
DOI10.1111/1462-2920.15718
SubjectMicrobial Ecology

Access Information

NARA Access Coverage1999-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/14622920
Publisher PageOpen Publisher Page
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