Evidence map›Paper›PMID 32534596›Full record

ArticleMicrobiome2020

The skin microbiome of elasmobranchs follows phylosymbiosis, but in teleost fishes, the microbiomes converge.

Michael P Doane, Megan M Morris, Bhavya Papudeshi, Lauren Allen, Dnyanada Pande, John M Haggerty, Shaili Johri, Abigail C Turnlund, Meredith Peterson, Dovi Kacev and 27 more

Abstract readVideo-Audio Media
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed.

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  9. Draft genomes of five bacteria isolated fromMicrobiology resource announcements · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

37 authors.

Michael P DoaneSydney Institute of Marine Science, Mosman, NSW, Australia.
Megan M MorrisBiology Department, San Diego State University, San Diego, CA, USA.
Bhavya PapudeshiNational Center for Genome Analysis Support, Indiana University, San Diego, Indiana, USA.
Lauren AllenBiology Department, San Diego State University, San Diego, CA, USA.
Dnyanada PandeComputer Sciences Department, San Diego State University, San Diego, CA, USA.
John M HaggertyBiology Department, San Diego State University, San Diego, CA, USA.
Shaili JohriBiology Department, San Diego State University, San Diego, CA, USA.
Abigail C TurnlundBiology Department, San Diego State University, San Diego, CA, USA.
Meredith PetersonBiology Department, San Diego State University, San Diego, CA, USA.
Dovi KacevScripps Institute of Oceanography, University of California-San Diego, La Jolla, California, USA.
Andy NosalScripps Institute of Oceanography, University of California-San Diego, La Jolla, California, USA.
Deni RamirezWhale Shark Mexico, ConCiencia Mexico AC, La Paz, BC, USA.
Kevin HovelBiology Department, San Diego State University, San Diego, CA, USA.
Julia LedbetterBiology Department, San Diego State University, San Diego, CA, USA.
Amanda AlkerBiology Department, San Diego State University, San Diego, CA, USA.
Jackeline AvalosBiology Department, San Diego State University, San Diego, CA, USA.
Kristi BakerBiology Department, San Diego State University, San Diego, CA, USA.
Shruti BhideBiology Department, San Diego State University, San Diego, CA, USA.
Emma BillingsBiology Department, San Diego State University, San Diego, CA, USA.
Steven ByrumDepartment of Biology, University of Florida, Gainesville, FL, USA.
Molly ClemensBiology Department, San Diego State University, San Diego, CA, USA.
Amelia Juliette DemeryBiology Department, San Diego State University, San Diego, CA, USA.
Lais Farias Oliveira LimaBiology Department, San Diego State University, San Diego, CA, USA.
Oscar GomezBiology Department, San Diego State University, San Diego, CA, USA.
Omar GutierrezBiology Department, San Diego State University, San Diego, CA, USA.
Selena HintonBiology Department, San Diego State University, San Diego, CA, USA.
Donald KieuBiology Department, San Diego State University, San Diego, CA, USA.
Angie KimBiology Department, San Diego State University, San Diego, CA, USA.
Rebeca LoaizaBiology Department, San Diego State University, San Diego, CA, USA.
Alexander MartinezBiology Department, San Diego State University, San Diego, CA, USA.
Jordan McGheeBiology Department, San Diego State University, San Diego, CA, USA.
Kristine NguyenBiology Department, San Diego State University, San Diego, CA, USA.
Sabrina ParlanBiology Department, San Diego State University, San Diego, CA, USA.
Amanda PhamBiology Department, San Diego State University, San Diego, CA, USA.
Rosalyn Price-WaldmanDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
Robert A EdwardsBiology Department, San Diego State University, San Diego, CA, USA.
Elizabeth A DinsdaleBiology Department, San Diego State University, San Diego, CA, USA. Elizabeth_dinsdale@hotmail.com.

Funding

National Science Foundation 1323809National Science Foundation 1330800
6 · The paper itself

Abstract

backgroundThe vertebrate clade diverged into Chondrichthyes (sharks, rays, and chimeras) and Osteichthyes fishes (bony fishes) approximately 420 mya, with each group accumulating vast anatomical and physiological differences, including skin properties. The skin of Chondrichthyes fishes is covered in dermal denticles, whereas Osteichthyes fishes are covered in scales and are mucous rich. The divergence time among these two fish groups is hypothesized to result in predictable variation among symbionts. Here, using shotgun metagenomics, we test if patterns of diversity in the skin surface microbiome across the two fish clades match predictions made by phylosymbiosis theory. We hypothesize (1) the skin microbiome will be host and clade-specific, (2) evolutionary difference in elasmobranch and teleost will correspond with a concomitant increase in host-microbiome dissimilarity, and (3) the skin structure of the two groups will affect the taxonomic and functional composition of the microbiomes.

resultsWe show that the taxonomic and functional composition of the microbiomes is host-specific. Teleost fish had lower average microbiome within clade similarity compared to among clade comparison, but their composition is not different among clade in a null based model. Elasmobranch's average similarity within clade was not different than across clade and not different in a null based model of comparison. In the comparison of host distance with microbiome distance, we found that the taxonomic composition of the microbiome was related to host distance for the elasmobranchs, but not the teleost fishes. In comparison, the gene function composition was not related to the host-organism distance for elasmobranchs but was negatively correlated with host distance for teleost fishes.

conclusionOur results show the patterns of phylosymbiosis are not consistent across both fish clades, with the elasmobranchs showing phylosymbiosis, while the teleost fish are not. The discrepancy may be linked to alternative processes underpinning microbiome assemblage, including possible historical host-microbiome evolution of the elasmobranchs and convergent evolution in the teleost which filter specific microbial groups. Our comparison of the microbiomes among fishes represents an investigation into the microbial relationships of the oldest divergence of extant vertebrate hosts and reveals that microbial relationships are not consistent across evolutionary timescales. Video abstract.

Indexed as

MetagenomicsPhylogenySymbiosisAnimalsBacteriaElasmobranchiiFishesIntegumentary SystemMicrobiotaCommunity ecologyElasmobranch skinMetagenomicsMicrobial communityMicrobiomePhylosymbiosisTeleostVertebrate fishes

Identifiers

PMID32534596
PMCPMC7293782

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.