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     data        files  public [Bacterial communities and relative abundances of the pathogen Vibrio coralliilyticus in
feces of coral reef fish] - Bacterial communities and relative abundances of the pathogen
Vibrio coralliilyticus in feces of coral reef fish collected on the north shore of Mo’orea,
French Polynesia, Oct 2020 (CAREER: Testing the effects of predator-derived feces on host
symbiont acquisition and health)
   ?            M   background (external link) RSS Subscribe BCO-DMO bcodmo_dataset_935908_v1

The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL doi String 10.26008/1912/bco-dmo.935908.1
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/935908 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL license String The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL summary String Understanding how microbial communities in consumer feces may impact ecosystem health may improve conservation and restoration efforts. To test how microbial communities in fish feces may affect coral reef health, we collected fecal samples from ten fish species, ranging from obligate corallivore to grazer/detritivore. Additionally, samples of corals, algae, sediments, and seawater were collected to test whether bacterial taxa in these samples were also represented in fish feces (N = 5-14 per fish, coral, or algae species/genus). All collections were conducted in October 2020 from the back reef (1-2 m depth) and fore reef (5-10 m depth) in Moorea, between LTER sites 1 and 2 of the Moorea Coral Reef (MCR) Long Term Ecological Research (LTER) site. We conducted bacterial 16S rRNA gene metabarcoding on all samples and found that fecal communities of bacteria differed among fish guilds (obligate corallivores, facultative corallivores, grazer/detritivores). We also used real-time PCR to quantify abundances of Vibrio coralliilyticus, a known coral pathogen, in all fecal samples. Samples were collected and processed, and data were analyzed, by the authors of Grupstra et al., 2023.
attribute NC_GLOBAL title String [Bacterial communities and relative abundances of the pathogen Vibrio coralliilyticus in feces of coral reef fish] - Bacterial communities and relative abundances of the pathogen Vibrio coralliilyticus in feces of coral reef fish collected on the north shore of Mo’orea, French Polynesia, Oct 2020 (CAREER: Testing the effects of predator-derived feces on host symbiont acquisition and health)
variable sample_name   String  
attribute sample_name long_name String Sample_name
attribute sample_name units String unitless
variable SRA   String  
attribute SRA long_name String Sra
attribute SRA units String unitless
variable BioSample   String  
attribute BioSample long_name String Biosample
attribute BioSample units String unitless
variable organism   String  
attribute organism long_name String Organism
attribute organism units String unitless
variable strain   String  
attribute strain long_name String Strain
attribute strain units String unitless
variable isolation_source   String  
attribute isolation_source long_name String Isolation_source
attribute isolation_source units String unitless
variable collection_date   String  
attribute collection_date long_name String Collection_date
attribute collection_date units String unitless
variable geo_loc_name   String  
attribute geo_loc_name long_name String Geo_loc_name
attribute geo_loc_name units String unitless
variable depth_r   String  
attribute depth_r long_name String Depth
attribute depth_r units String m
variable env_broad_scale   String  
attribute env_broad_scale long_name String Env_broad_scale
attribute env_broad_scale units String unitless
variable host_description   String  
attribute host_description long_name String Host_description
attribute host_description units String unitless
variable host_tissue_sampled   String  
attribute host_tissue_sampled long_name String Host_tissue_sampled
attribute host_tissue_sampled units String unitless
variable host_diet   String  
attribute host_diet long_name String Host_diet
attribute host_diet units String unitless
variable host_feces_dCT   float  
attribute host_feces_dCT actual_range float 8.23, 20.507
attribute host_feces_dCT long_name String Host_feces_dct
attribute host_feces_dCT units String cycles
variable host_AphiaID   String  
attribute host_AphiaID long_name String Host_aphiaid
attribute host_AphiaID units String unitless
variable host_ScientificName   String  
attribute host_ScientificName long_name String Host_scientificname
attribute host_ScientificName units String unitless
variable host_LSID   String  
attribute host_LSID long_name String Host_lsid
attribute host_LSID units String unitless

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.


 
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