ArticleScientific reports2019
Microbiota fingerprints within the oral cavity of cetaceans as indicators for population biomonitoring.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
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- Phylogeography and host specificity ofFrontiers in microbiology · 2023Article
- Ecology, Not Host Phylogeny, Shapes the Oral Microbiome in Closely Related Species.Molecular biology and evolution · 2022Article
- Specificity ofInternational journal for parasitology. Parasites and wildlife · 2022Article
- Characterization of oral and cloacal microbial communities of wild and rehabilitated loggerhead sea turtles (Caretta caretta).Animal microbiome · 2021Article
- Characterizing the culturable surface microbiomes of diverse marine animals.FEMS microbiology ecology · 2021Article
- Wild whale faecal samples as a proxy of anthropogenic impact.Scientific reports · 2021Article
- Exploring the signature gut and oral microbiome in individuals of specificJournal of biosciences · 2021Article
- Microbiome Composition and Function in Aquatic Vertebrates: Small Organisms Making Big Impacts on Aquatic Animal Health.Frontiers in microbiology · 2021Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
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Abstract
The composition of mammalian microbiota has been related with the host health status. In this study, we assessed the oral microbiome of 3 cetacean species most commonly found stranded in Iberian Atlantic waters (Delphinus delphis, Stenella coeruleoalba and Phocoena phocoena), using 16S rDNA-amplicon metabarcoding. All oral microbiomes were dominated by Proteobacteria, Firmicutes, Bacteroidetes and Fusobacteria bacteria, which were also predominant in the oral cavity of Tursiops truncatus. A Constrained Canonical Analysis (CCA) showed that the major factors shaping the composition of 38 oral microbiomes (p-value < 0.05) were: (i) animal species and (ii) age class, segregating adults and juveniles. The correlation analysis also grouped the microbiomes by animal stranding location and health status. Similar discriminatory patterns were detected using the data from a previous study on Tursiops truncatus, indicating that this correlation approach may facilitate data comparisons between different studies on several cetacean species. This study identified a total of 15 bacterial genera and 27 OTUs discriminating between the observed CCA groups, which can be further explored as microbiota fingerprints to develop (i) specific diagnostic assays for cetacean population conservation and (ii) bio-monitoring approaches to assess the health of marine ecosystems from the Iberian Atlantic basin, using cetaceans as bioindicators.
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