Skin microbiome of beluga whales: spatial, temporal, and health-related dynamics.

16S rRNA gene Beluga Conservation Health assessment Microbiome

Journal

Animal microbiome
ISSN: 2524-4671
Titre abrégé: Anim Microbiome
Pays: England
ID NLM: 101759457

Informations de publication

Date de publication:
22 Oct 2020
Historique:
received: 23 07 2020
accepted: 08 10 2020
entrez: 27 1 2021
pubmed: 28 1 2021
medline: 28 1 2021
Statut: epublish

Résumé

Host-specific microbiomes play an important role in individual health and ecology; in marine mammals, epidermal microbiomes may be a protective barrier between the host and its aqueous environment. Understanding these epidermal-associated microbial communities, and their ecological- or health-driven variability, is the first step toward developing health indices for rapid assessment of individual or population health. In Cook Inlet, Alaska, an endangered population of beluga whales (Delphinapterus leucas) numbers fewer than 300 animals and continues to decline, despite more than a decade of conservation effort. Characterizing the epidermal microbiome of this species could provide insight into the ecology and health of this endangered population and allow the development of minimally invasive health indicators based on tissue samples. We sequenced the hypervariable IV region of bacterial and archaeal SSU rRNA genes from epidermal tissue samples collected from endangered Cook Inlet beluga whales (n = 33) and the nearest neighboring population in Bristol Bay (n = 39) between 2012 and 2018. We examined the sequences using amplicon sequence variant (ASV)-based analyses, and no ASVs were associated with all individuals, indicating a greater degree of epidermal microbiome variability among beluga whales than in previously studied cetacean species and suggesting the absence of a species-specific core microbiome. Epidermal microbiome composition differed significantly between populations and across sampling years. Comparing the microbiomes of Bristol Bay individuals of known health status revealed 11 ASVs associated with potential pathogens that differed in abundance between healthy individuals and those with skin lesions or dermatitis. Molting and non-molting individuals also differed significantly in microbial diversity and the abundance of potential pathogen-associated ASVs, indicating the importance of molting in maintaining skin health. We provide novel insights into the dynamics of Alaskan beluga whale epidermal microbial communities. A core epidermal microbiome was not identified across all animals. We characterize microbial dynamics related to population, sampling year and health state including level of skin molting. The results of this study provide a basis for future work to understand the role of the skin microbiome in beluga whale health and to develop health indices for management of the endangered Cook Inlet beluga whales, and cetaceans more broadly.

Sections du résumé

BACKGROUND BACKGROUND
Host-specific microbiomes play an important role in individual health and ecology; in marine mammals, epidermal microbiomes may be a protective barrier between the host and its aqueous environment. Understanding these epidermal-associated microbial communities, and their ecological- or health-driven variability, is the first step toward developing health indices for rapid assessment of individual or population health. In Cook Inlet, Alaska, an endangered population of beluga whales (Delphinapterus leucas) numbers fewer than 300 animals and continues to decline, despite more than a decade of conservation effort. Characterizing the epidermal microbiome of this species could provide insight into the ecology and health of this endangered population and allow the development of minimally invasive health indicators based on tissue samples.
RESULTS RESULTS
We sequenced the hypervariable IV region of bacterial and archaeal SSU rRNA genes from epidermal tissue samples collected from endangered Cook Inlet beluga whales (n = 33) and the nearest neighboring population in Bristol Bay (n = 39) between 2012 and 2018. We examined the sequences using amplicon sequence variant (ASV)-based analyses, and no ASVs were associated with all individuals, indicating a greater degree of epidermal microbiome variability among beluga whales than in previously studied cetacean species and suggesting the absence of a species-specific core microbiome. Epidermal microbiome composition differed significantly between populations and across sampling years. Comparing the microbiomes of Bristol Bay individuals of known health status revealed 11 ASVs associated with potential pathogens that differed in abundance between healthy individuals and those with skin lesions or dermatitis. Molting and non-molting individuals also differed significantly in microbial diversity and the abundance of potential pathogen-associated ASVs, indicating the importance of molting in maintaining skin health.
CONCLUSIONS CONCLUSIONS
We provide novel insights into the dynamics of Alaskan beluga whale epidermal microbial communities. A core epidermal microbiome was not identified across all animals. We characterize microbial dynamics related to population, sampling year and health state including level of skin molting. The results of this study provide a basis for future work to understand the role of the skin microbiome in beluga whale health and to develop health indices for management of the endangered Cook Inlet beluga whales, and cetaceans more broadly.

Identifiants

pubmed: 33499987
doi: 10.1186/s42523-020-00057-1
pii: 10.1186/s42523-020-00057-1
pmc: PMC7807513
doi:

Types de publication

Journal Article

Langues

eng

Pagination

39

Références

Int J Syst Evol Microbiol. 2013 Jun;63(Pt 6):2062-2068
pubmed: 23064351
Science. 2009 May 29;324(5931):1190-2
pubmed: 19478181
Int J Syst Bacteriol. 1996 Jul;46(3):822-6
pubmed: 8782696
Environ Microbiol Rep. 2011 Apr;3(2):223-32
pubmed: 23761254
Clin Microbiol Infect. 2012 Jul;18 Suppl 4:8-11
pubmed: 22647040
FEBS Lett. 2014 Nov 17;588(22):4131-9
pubmed: 24583074
Int J Syst Evol Microbiol. 2000 Mar;50 Pt 2:835-846
pubmed: 10758895
Conserv Physiol. 2019 Nov 11;7(1):coz071
pubmed: 31737271
Int J Syst Bacteriol. 1997 Apr;47(2):590-2
pubmed: 9103655
Anaerobe. 2011 Apr;17(2):56-63
pubmed: 21420503
iScience. 2020 Apr 24;23(4):101007
pubmed: 32305861
Science. 2013 Sep 6;341(6150):1241214
pubmed: 24009397
Nat Commun. 2016 Feb 03;7:10516
pubmed: 26839246
Environ Microbiol. 2016 May;18(5):1403-14
pubmed: 26271760
PLoS One. 2015 Sep 22;10(9):e0138967
pubmed: 26393930
Vet Res. 2013 Apr 24;44:27
pubmed: 23617544
PLoS One. 2013 Jun 12;8(6):e65388
pubmed: 23776475
Cell. 2019 May 30;177(6):1600-1618.e17
pubmed: 31150625
Environ Microbiol. 2012 Apr;14(4):909-23
pubmed: 22176665
PLoS One. 2014 Mar 26;9(3):e90785
pubmed: 24671052
Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047
Infect Control. 1984 Jul;5(7):343-7
pubmed: 6564087
Proc Natl Acad Sci U S A. 1992 Jun 15;89(12):5685-9
pubmed: 1608980
Proc Natl Acad Sci U S A. 2010 Aug 17;107(33):14799-804
pubmed: 20668241
PLoS One. 2013 Apr 22;8(4):e61217
pubmed: 23630581
Genome Biol. 2014;15(12):550
pubmed: 25516281
Trends Mol Med. 2011 Jun;17(6):320-8
pubmed: 21376666
Genome Announc. 2016 Jan 21;4(1):
pubmed: 26798103
Nat Microbiol. 2017 Aug 24;2:17121
pubmed: 28836573
ISME J. 2017 Dec;11(12):2639-2643
pubmed: 28731476
Science. 2015 Oct 2;350(6256):aac5992
pubmed: 26430127
R Soc Open Sci. 2020 May 20;7(5):192046
pubmed: 32537203
Nature. 2016 Jul 06;535(7610):94-103
pubmed: 27383984
Nucleic Acids Res. 2013 Jan;41(Database issue):D590-6
pubmed: 23193283
J Bacteriol. 1954 Mar;67(3):278-91
pubmed: 13142992
Front Microbiol. 2012 Aug 23;3:292
pubmed: 22936927
FEMS Microbiol Ecol. 2019 Aug 1;95(8):
pubmed: 31260051
Appl Environ Microbiol. 1999 Dec;65(12):5554-63
pubmed: 10584017
Infect Control. 1985 Feb;6(2):52-8
pubmed: 3882590
Microbes Environ. 2011;26(2):101-12
pubmed: 21502736
Environ Microbiol Rep. 2020 Jun;12(3):324-333
pubmed: 32162479
Int J Syst Evol Microbiol. 2002 Jul;52(Pt 4):1291-1297
pubmed: 12148642
Int J Syst Evol Microbiol. 2003 Jul;53(Pt 4):1093-1100
pubmed: 12892132
PLoS One. 2018 Mar 22;13(3):e0194201
pubmed: 29566001
Environ Microbiol. 2015 Oct;17(10):4078-88
pubmed: 26148974
FEMS Microbiol Rev. 2015 Sep;39(5):631-48
pubmed: 25907112
Appl Environ Microbiol. 1997 Jan;63(1):50-6
pubmed: 8979338
Sci Rep. 2020 Jul 10;10(1):11462
pubmed: 32651398
Microbiome. 2018 Aug 24;6(1):147
pubmed: 30143055
Immunity. 2010 Jun 25;32(6):815-27
pubmed: 20620945
Dokl Biol Sci. 2016 Nov;471(1):261-265
pubmed: 28058605
Microbiol Rev. 1978 Jun;42(2):329-56
pubmed: 353479
Proc Biol Sci. 2012 Dec 05;280(1752):20122552
pubmed: 23222451
Appl Environ Microbiol. 2018 Feb 14;84(5):
pubmed: 29269499
mSystems. 2017 Oct 10;2(5):
pubmed: 29034331
Extremophiles. 2013 Sep;17(5):809-19
pubmed: 23868329
PLoS One. 2014 Sep 02;9(9):e106518
pubmed: 25180510
Environ Sci Process Impacts. 2013 May;15(5):1041-51
pubmed: 23552731

Auteurs

Amy M Van Cise (AM)

Woods Hole Oceanographic Institution, Woods Hole, MA, USA. avancise@gmail.com.
North Gulf Oceanic Society, Visiting Scientist at Northwest Fisheries Science Center, NOAA National Marine Fisheries Service, Seattle, WA, USA. avancise@gmail.com.

Paul R Wade (PR)

Marine Mammal Laboratory, Alaska Fisheries Science Center, NOAA National Marine Fisheries Service, Seattle, WA, USA.

Caroline E C Goertz (CEC)

Alaska SeaLife Center, Seward, AK, USA.

Kathy Burek-Huntington (K)

Alaska Veterinary Pathology Service, Eagle River, AK, USA.

Kim M Parsons (KM)

Marine Mammal Laboratory, Alaska Fisheries Science Center, NOAA National Marine Fisheries Service, Seattle, WA, USA.
Conservation Biology Division, Northwest Fisheries Science Center, NOAA National Marine Fisheries Service, Seattle, WA, USA.

Tonya Clauss (T)

Animal & Environmental Heath, Georgia Aquarium, Atlanta, GA, USA.

Roderick C Hobbs (RC)

Marine Mammal Laboratory (retired), Alaska Fisheries Science Center, NOAA National Marine Fisheries Service, Seattle, WA, USA.

Amy Apprill (A)

Woods Hole Oceanographic Institution, Woods Hole, MA, USA. aapprill@whoi.edu.

Classifications MeSH