Metagenome-assembled genomes of phytoplankton microbiomes from the Arctic and Atlantic Oceans.


Journal

Microbiome
ISSN: 2049-2618
Titre abrégé: Microbiome
Pays: England
ID NLM: 101615147

Informations de publication

Date de publication:
28 04 2022
Historique:
received: 15 04 2021
accepted: 28 02 2022
entrez: 28 4 2022
pubmed: 29 4 2022
medline: 3 5 2022
Statut: epublish

Résumé

Phytoplankton communities significantly contribute to global biogeochemical cycles of elements and underpin marine food webs. Although their uncultured genomic diversity has been estimated by planetary-scale metagenome sequencing and subsequent reconstruction of metagenome-assembled genomes (MAGs), this approach has yet to be applied for complex phytoplankton microbiomes from polar and non-polar oceans consisting of microbial eukaryotes and their associated prokaryotes. Here, we have assembled MAGs from chlorophyll a maximum layers in the surface of the Arctic and Atlantic Oceans enriched for species associations (microbiomes) with a focus on pico- and nanophytoplankton and their associated heterotrophic prokaryotes. From 679 Gbp and estimated 50 million genes in total, we recovered 143 MAGs of medium to high quality. Although there was a strict demarcation between Arctic and Atlantic MAGs, adjacent sampling stations in each ocean had 51-88% MAGs in common with most species associations between Prasinophytes and Proteobacteria. Phylogenetic placement revealed eukaryotic MAGs to be more diverse in the Arctic whereas prokaryotic MAGs were more diverse in the Atlantic Ocean. Approximately 70% of protein families were shared between Arctic and Atlantic MAGs for both prokaryotes and eukaryotes. However, eukaryotic MAGs had more protein families unique to the Arctic whereas prokaryotic MAGs had more families unique to the Atlantic. Our study provides a genomic context to complex phytoplankton microbiomes to reveal that their community structure was likely driven by significant differences in environmental conditions between the polar Arctic and warm surface waters of the tropical and subtropical Atlantic Ocean. Video Abstract.

Sections du résumé

BACKGROUND
Phytoplankton communities significantly contribute to global biogeochemical cycles of elements and underpin marine food webs. Although their uncultured genomic diversity has been estimated by planetary-scale metagenome sequencing and subsequent reconstruction of metagenome-assembled genomes (MAGs), this approach has yet to be applied for complex phytoplankton microbiomes from polar and non-polar oceans consisting of microbial eukaryotes and their associated prokaryotes.
RESULTS
Here, we have assembled MAGs from chlorophyll a maximum layers in the surface of the Arctic and Atlantic Oceans enriched for species associations (microbiomes) with a focus on pico- and nanophytoplankton and their associated heterotrophic prokaryotes. From 679 Gbp and estimated 50 million genes in total, we recovered 143 MAGs of medium to high quality. Although there was a strict demarcation between Arctic and Atlantic MAGs, adjacent sampling stations in each ocean had 51-88% MAGs in common with most species associations between Prasinophytes and Proteobacteria. Phylogenetic placement revealed eukaryotic MAGs to be more diverse in the Arctic whereas prokaryotic MAGs were more diverse in the Atlantic Ocean. Approximately 70% of protein families were shared between Arctic and Atlantic MAGs for both prokaryotes and eukaryotes. However, eukaryotic MAGs had more protein families unique to the Arctic whereas prokaryotic MAGs had more families unique to the Atlantic.
CONCLUSION
Our study provides a genomic context to complex phytoplankton microbiomes to reveal that their community structure was likely driven by significant differences in environmental conditions between the polar Arctic and warm surface waters of the tropical and subtropical Atlantic Ocean. Video Abstract.

Identifiants

pubmed: 35484634
doi: 10.1186/s40168-022-01254-7
pii: 10.1186/s40168-022-01254-7
pmc: PMC9047304
doi:

Substances chimiques

Chlorophyll A YF5Q9EJC8Y

Banques de données

figshare
['10.6084/m9.figshare.c.5017517']

Types de publication

Journal Article Video-Audio Media Research Support, U.S. Gov't, Non-P.H.S. Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

67

Informations de copyright

© 2022. The Author(s).

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Auteurs

Anthony Duncan (A)

School of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich, NR47TJ, UK.

Kerrie Barry (K)

US Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.

Chris Daum (C)

US Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.

Emiley Eloe-Fadrosh (E)

US Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.

Simon Roux (S)

US Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.

Katrin Schmidt (K)

School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR47TJ, UK.

Susannah G Tringe (SG)

US Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.

Klaus U Valentin (KU)

Alfred-Wegener Institute for Polar and Marine Research, Am Handelshafen 12, 27570, Bremerhaven, Germany.

Neha Varghese (N)

US Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.

Asaf Salamov (A)

US Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.

Igor V Grigoriev (IV)

US Department of Energy Joint Genome Institute, 1 Cyclotron Road, Berkeley, CA, 94720, USA.

Richard M Leggett (RM)

Earlham Institute, Norwich Research Park, Norwich, NR4 7UG, UK.

Vincent Moulton (V)

School of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich, NR47TJ, UK.

Thomas Mock (T)

School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR47TJ, UK. t.mock@uea.ac.uk.

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