Particle-attached bacteria act as gatekeepers in the decomposition of complex phytoplankton polysaccharides.

Algal bloom Algal polysaccharide Bacterioplankton Bacteroidota Carbohydrate-active enzyme Carbon budget Carbon cycle Free-living bacteria Helgoland Roads LTER Marine microbes Particle-attached bacteria Particulate organic matter Polysaccharide utilization locus

Journal

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

Informations de publication

Date de publication:
20 Feb 2024
Historique:
received: 07 11 2023
accepted: 04 01 2024
medline: 20 2 2024
pubmed: 20 2 2024
entrez: 19 2 2024
Statut: epublish

Résumé

Marine microalgae (phytoplankton) mediate almost half of the worldwide photosynthetic carbon dioxide fixation and therefore play a pivotal role in global carbon cycling, most prominently during massive phytoplankton blooms. Phytoplankton biomass consists of considerable proportions of polysaccharides, substantial parts of which are rapidly remineralized by heterotrophic bacteria. We analyzed the diversity, activity, and functional potential of such polysaccharide-degrading bacteria in different size fractions during a diverse spring phytoplankton bloom at Helgoland Roads (southern North Sea) at high temporal resolution using microscopic, physicochemical, biodiversity, metagenome, and metaproteome analyses. Prominent active 0.2-3 µm free-living clades comprised Aurantivirga, "Formosa", Cd. Prosiliicoccus, NS4, NS5, Amylibacter, Planktomarina, SAR11 Ia, SAR92, and SAR86, whereas BD1-7, Stappiaceae, Nitrincolaceae, Methylophagaceae, Sulfitobacter, NS9, Polaribacter, Lentimonas, CL500-3, Algibacter, and Glaciecola dominated 3-10 µm and > 10 µm particles. Particle-attached bacteria were more diverse and exhibited more dynamic adaptive shifts over time in terms of taxonomic composition and repertoires of encoded polysaccharide-targeting enzymes. In total, 305 species-level metagenome-assembled genomes were obtained, including 152 particle-attached bacteria, 100 of which were novel for the sampling site with 76 representing new species. Compared to free-living bacteria, they featured on average larger metagenome-assembled genomes with higher proportions of polysaccharide utilization loci. The latter were predicted to target a broader spectrum of polysaccharide substrates, ranging from readily soluble, simple structured storage polysaccharides (e.g., laminarin, α-glucans) to less soluble, complex structural, or secreted polysaccharides (e.g., xylans, cellulose, pectins). In particular, the potential to target poorly soluble or complex polysaccharides was more widespread among abundant and active particle-attached bacteria. Particle-attached bacteria represented only 1% of all bloom-associated bacteria, yet our data suggest that many abundant active clades played a pivotal gatekeeping role in the solubilization and subsequent degradation of numerous important classes of algal glycans. The high diversity of polysaccharide niches among the most active particle-attached clades therefore is a determining factor for the proportion of algal polysaccharides that can be rapidly remineralized during generally short-lived phytoplankton bloom events. Video Abstract.

Sections du résumé

BACKGROUND BACKGROUND
Marine microalgae (phytoplankton) mediate almost half of the worldwide photosynthetic carbon dioxide fixation and therefore play a pivotal role in global carbon cycling, most prominently during massive phytoplankton blooms. Phytoplankton biomass consists of considerable proportions of polysaccharides, substantial parts of which are rapidly remineralized by heterotrophic bacteria. We analyzed the diversity, activity, and functional potential of such polysaccharide-degrading bacteria in different size fractions during a diverse spring phytoplankton bloom at Helgoland Roads (southern North Sea) at high temporal resolution using microscopic, physicochemical, biodiversity, metagenome, and metaproteome analyses.
RESULTS RESULTS
Prominent active 0.2-3 µm free-living clades comprised Aurantivirga, "Formosa", Cd. Prosiliicoccus, NS4, NS5, Amylibacter, Planktomarina, SAR11 Ia, SAR92, and SAR86, whereas BD1-7, Stappiaceae, Nitrincolaceae, Methylophagaceae, Sulfitobacter, NS9, Polaribacter, Lentimonas, CL500-3, Algibacter, and Glaciecola dominated 3-10 µm and > 10 µm particles. Particle-attached bacteria were more diverse and exhibited more dynamic adaptive shifts over time in terms of taxonomic composition and repertoires of encoded polysaccharide-targeting enzymes. In total, 305 species-level metagenome-assembled genomes were obtained, including 152 particle-attached bacteria, 100 of which were novel for the sampling site with 76 representing new species. Compared to free-living bacteria, they featured on average larger metagenome-assembled genomes with higher proportions of polysaccharide utilization loci. The latter were predicted to target a broader spectrum of polysaccharide substrates, ranging from readily soluble, simple structured storage polysaccharides (e.g., laminarin, α-glucans) to less soluble, complex structural, or secreted polysaccharides (e.g., xylans, cellulose, pectins). In particular, the potential to target poorly soluble or complex polysaccharides was more widespread among abundant and active particle-attached bacteria.
CONCLUSIONS CONCLUSIONS
Particle-attached bacteria represented only 1% of all bloom-associated bacteria, yet our data suggest that many abundant active clades played a pivotal gatekeeping role in the solubilization and subsequent degradation of numerous important classes of algal glycans. The high diversity of polysaccharide niches among the most active particle-attached clades therefore is a determining factor for the proportion of algal polysaccharides that can be rapidly remineralized during generally short-lived phytoplankton bloom events. Video Abstract.

Identifiants

pubmed: 38374154
doi: 10.1186/s40168-024-01757-5
pii: 10.1186/s40168-024-01757-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

32

Subventions

Organisme : Deutsche Forschungsgemeinschaft,Germany
ID : AM 73/9-3
Organisme : Deutsche Forschungsgemeinschaft,Germany
ID : SCHW 595/10-3
Organisme : Deutsche Forschungsgemeinschaft,Germany
ID : TE 813/2-3
Organisme : Deutsche Forschungsgemeinschaft,Germany
ID : RI 969/9-2
Organisme : Deutsche Forschungsgemeinschaft,Germany
ID : BE 3869/4-3
Organisme : Deutsche Forschungsgemeinschaft,Germany
ID : SCHW 595/11-3
Organisme : Deutsche Forschungsgemeinschaft,Germany
ID : FU 627/2-3
Organisme : Deutsche Forschungsgemeinschaft,Germany
ID : RI 969/9-2
Organisme : Deutsche Forschungsgemeinschaft,Germany
ID : TE 813/2-3
Organisme : Deutsche Forschungsgemeinschaft,Germany
ID : AM 73/9-3
Organisme : Biological Station Helgoland, Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research
ID : AWI_BAH_o 1
Organisme : Biological Station Helgoland, Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research
ID : AWI_BAH_o 1

Informations de copyright

© 2024. The Author(s).

Références

Field CB, Behrenfeld MJ, Randerson JT, Falkowski P. Primary production of the biosphere: integrating terrestrial and oceanic components. Science. 1998;281(5374):237–40.
pubmed: 9657713 doi: 10.1126/science.281.5374.237
Falkowski PG, Barber RT, Smetacek VV. Biogeochemical controls and feedbacks on ocean primary production. Science. 1998;281(5374):200–6.
pubmed: 9660741 doi: 10.1126/science.281.5374.200
Mann DG. The species concept in diatoms: evidence for morphologically distinct, sympatric gamodemes in four epipelic species. Plant Syst Evol. 1989;164:215–37.
doi: 10.1007/BF00940439
Inomura K, Karlusich JJP, Dutkiewicz S, Deutsch C, Harrison PJ, Bowler C. High growth rate of diatoms explained by reduced carbon requirement and low energy cost of silica deposition. Microbiol Spectr. 2023:e03311-22.
Arrigo KR, Robinson DH, Worthen DL, Dunbar RB, DiTullio GR, VanWoert M, et al. Phytoplankton community structure and the drawdown of nutrients and CO
pubmed: 9888847 doi: 10.1126/science.283.5400.365
Lancelot C, Gypens N, Billen G, Garnier J, Roubeix V. Testing an integrated river-ocean mathematical tool for linking marine eutrophication to land use: the Phaeocystis-dominated Belgian coastal zone (Southern North Sea) over the past 50 years. J Mar Syst. 2007;64:216–28.
doi: 10.1016/j.jmarsys.2006.03.010
Alderkamp AC, Buma AGJ, van Rijssel M. The carbohydrates of Phaeocystis and their degradation in the microbial food web. Biogeochemistry. 2007;83:99–118.
doi: 10.1007/s10533-007-9078-2
Vincent F, Gralka M, Schleyer G, Schatz D, Cabrera-Brufau M, Kuhlisch C, et al. Viral infection switches the balance between bacterial and eukaryotic recyclers of organic matter during coccolithophore blooms. Nat Commun. 2023;14(1):510.
pubmed: 36720878 pmcid: 9889395 doi: 10.1038/s41467-023-36049-3
Zhang ZH, Li DH, Xie RZ, Guo RY, Nair S, Han H, et al. Plastoquinone synthesis inhibition by tetrabromo biphenyldiol as a widespread algicidal mechanism of marine bacteria. ISME J. 2023;17(11):1979–92.
pubmed: 37679430 pmcid: 10579414 doi: 10.1038/s41396-023-01510-0
Scholz B, Guillou L, Marano AV, Neuhauser S, Sullivan BK, Karsten U, et al. Zoosporic parasites infecting marine diatoms - a black box that needs to be opened. Fungal Ecol. 2016;19:59–76.
pubmed: 28083074 pmcid: 5221735 doi: 10.1016/j.funeco.2015.09.002
Garvetto A, Nézan E, Badis Y, Bilien G, Arce P, Bresnan E, et al. Novel widespread marine oomycetes parasitising diatoms, including the toxic genus Pseudo-nitzschia: genetic, morphological, and ecological characterisation. Front Microbiol. 2018;9:2918.
pubmed: 30559730 pmcid: 6286980 doi: 10.3389/fmicb.2018.02918
Fernández-Méndez M, Wenzhöfer F, Peeken I, Sørensen HL, Glud RN, Boetius A. Composition, buoyancy regulation and fate of ice algal aggregates in the Central Arctic Ocean. PLoS ONE. 2014;9(9):e107452.
pubmed: 25208058 pmcid: 4160247 doi: 10.1371/journal.pone.0107452
Schmoker C, Hernández-León S, Calbet A. Microzooplankton grazing in the oceans: impacts, data variability, knowledge gaps and future directions. J Plankton Res. 2013;35(4):691–706.
doi: 10.1093/plankt/fbt023
Worden AZ, Follows MJ, Giovannoni SJ, Wilken S, Zimmerman AE, Keeling PJ. Rethinking the marine carbon cycle: factoring in the multifarious lifestyles of microbes. Science. 2015;347(6223):1257594.
pubmed: 25678667 doi: 10.1126/science.1257594
Vargas CA, Cuevas LA, González HE, Daneri G. Bacterial growth response to copepod grazing in aquatic ecosystems. J Mar Biol Assoc UK. 2007;87(3):667–74.
doi: 10.1017/S0025315407056275
Giering SL, Sanders R, Lampitt RS, Anderson TR, Tamburini C, Boutrif M, et al. Reconciliation of the carbon budget in the ocean’s twilight zone. Nature. 2014;507(7493):480–3.
pubmed: 24670767 doi: 10.1038/nature13123
De La Rocha CL, Passow U. Factors influencing the sinking of POC and the efficiency of the biological carbon pump. Deep Sea Research Part II: Topical Studies in Oceanography. 2007;54(5–7):639–58.
doi: 10.1016/j.dsr2.2007.01.004
Nowicki M, DeVries T, Siegel DA. Quantifying the carbon export and sequestration pathways of the ocean’s biological carbon pump. Glob Biogeochem Cycles. 2022;36:e2021GB007083.
doi: 10.1029/2021GB007083
Simon M, Grossart HP, Schweitzer B, Ploug H. Microbial ecology of organic aggregates in aquatic ecosystems. Aquat Microb Ecol. 2002;28(2):175–211.
doi: 10.3354/ame028175
Turley CM, Stutt ED. Depth-related cell-specific bacterial leucine incorporation rates on particles and its biogeochemical significance in the Northwest Mediterranean. Limnol Oceanogr. 2000;45(2):419–25.
doi: 10.4319/lo.2000.45.2.0419
Heins A, Reintjes G, Amann RI, Harder J. Particle collection in Imhoff sedimentation cones enriches both motile chemotactic and particle-attached bacteria. Front Microbiol. 2021;12:643730.
pubmed: 33868201 pmcid: 8047139 doi: 10.3389/fmicb.2021.643730
Azúa I, Unanue M, Ayo B, Artolozaga I, Arrieta JM, Iriberri J. Influence of organic matter quality in the cleavage of polymers by marine bacterial communities. J Plankton Res. 2003;25(12):1451–60.
doi: 10.1093/plankt/fbg105
Leu AO, Eppley JM, Burger A, DeLong EF. Diverse genomic traits differentiate sinking-particle-associated versus free-living microbes throughout the oligotrophic open ocean water column. mBio. 2022;13(4):e01569–22.
pubmed: 35862780 pmcid: 9426571 doi: 10.1128/mbio.01569-22
Patel AK, Vadrale AP, Singhania RR, Michaud P, Pandey A, Chen SJ, et al. Algal polysaccharides: current status and future prospects. Phytochem Rev. 2023;22:1167–96.
doi: 10.1007/s11101-021-09799-5
Myklestad S. Production of carbohydrates by marine planktonic diatoms. I. comparison of nine different species in culture. J Exp Mar Biol Ecol. 1974;15(3):261–74.
doi: 10.1016/0022-0981(74)90049-5
Chen J, Yang J, Du H, Aslam M, Wang W, Chen W, et al. Laminarin, a major polysaccharide in stramenopiles. Mar Drugs. 2021;19(10):576.
pubmed: 34677475 pmcid: 8541152 doi: 10.3390/md19100576
Zvyagintseva TN, Shevchenko NM, Popivnich IB, Isakov VV, Scobun AS, Sundukova EV, et al. A new procedure for the separation of water-soluble polysaccharides from brown seaweeds. Carbohyd Res. 1999;322(1–2):32–9.
doi: 10.1016/S0008-6215(99)00206-2
Myklestad SM. Production, chemical structure, metabolism, and biological function of the (1→3)-linked, β3-D-glucans in diatoms. Biol Oceanogr. 1989;6(3–4):313–26.
Becker S, Tebben J, Coffinet S, Wiltshire K, Iversen MH, Harder T, et al. Laminarin is a major molecule in the marine carbon cycle. Proc Natl Acad Sci USA. 2020;117(12):6599–607.
pubmed: 32170018 pmcid: 7104365 doi: 10.1073/pnas.1917001117
Le Costaouëc T, Unamunzaga C, Mantecon L, Helbert W. New structural insights into the cell-wall polysaccharide of the diatom Phaeodactylum tricornutum. Algal Res. 2017;26:172–9.
doi: 10.1016/j.algal.2017.07.021
Gügi B, Le Costaouëc T, Burel C, Lerouge P, Helbert W, Bardor M. Diatom-specific oligosaccharide and polysaccharide structures help to unravel biosynthetic capabilities in diatoms. Mar Drugs. 2015;13(9):5993–6018.
pubmed: 26393622 pmcid: 4584364 doi: 10.3390/md13095993
Mühlenbruch M, Grossart HP, Eigemann F, Voss M. Mini-review: Phytoplankton-derived polysaccharides in the marine environment and their interactions with heterotrophic bacteria. Environ Microbiol. 2018;20(8):2671–85.
pubmed: 30028074 doi: 10.1111/1462-2920.14302
Shnyukova EI, Zolotariova YK. Ecological role of exopolysaccharides of Bacillariophyta: a review. Int J Algae. 2017;19(1):5–20.
doi: 10.1615/InterJAlgae.v19.i1.10
Thornton DCO. Diatom aggregation in the sea: mechanisms and ecological implications. Eur J Phycol. 2002;37(2):149–61.
doi: 10.1017/S0967026202003657
Babiak W, Krzemińska I. Extracellular polymeric substances (EPS) as microalgal bioproducts: a review of factors affecting EPS synthesis and application in flocculation processes. Energies. 2021;14(13):4007.
doi: 10.3390/en14134007
Martino PD. Extracellular polymeric substances, a key element in understanding biofilm phenotype. Aims Microbiol. 2018;4(2):274–88.
pubmed: 31294215 pmcid: 6604936 doi: 10.3934/microbiol.2018.2.274
Glenwright AJ, Pothula KR, Bhamidimarri SP, Chorev DS, Baslé A, Firbank SJ, et al. Structural basis for nutrient acquisition by dominant members of the human gut microbiota. Nature. 2017;541(7637):407–11.
pubmed: 28077872 pmcid: 5497811 doi: 10.1038/nature20828
White JBR, Silale A, Feasey M, Heunis T, Zhu Y, Zheng H, et al. Outer membrane utilisomes mediate glycan uptake in gut Bacteroidetes. Nature. 2023;618(7965):583–9.
pubmed: 37286596 doi: 10.1038/s41586-023-06146-w
Sidhu C, Kirstein IV, Meunier CL, Rick J, Fofonova V, Wiltshire KH, et al. Dissolved storage glycans shaped the community composition of abundant bacterioplankton clades during a North Sea spring phytoplankton bloom. Microbiome. 2023;11(1):77.
pubmed: 37069671 pmcid: 10108472 doi: 10.1186/s40168-023-01517-x
Lu D, Wang F, Amann RI, Teeling H, Du JZ. Epiphytic common core bacteria in the microbiomes of co-located green (Ulva), brown (Saccharina) and red (Grateloupia, Gelidium) macroalgae. Microbiome. 2023;11(1):126.
pubmed: 37264413 pmcid: 10233909 doi: 10.1186/s40168-023-01559-1
Teeling H, Fuchs BM, Becher D, Klockow C, Gardebrecht A, Bennke CM, et al. Substrate-controlled succession of marine bacterioplankton populations induced by a phytoplankton bloom. Science. 2012;336(6081):608–11.
pubmed: 22556258 doi: 10.1126/science.1218344
Teeling H, Fuchs BM, Bennke CM, Krüger K, Chafee M, Kappelmann L, et al. Recurring patterns in bacterioplankton dynamics during coastal spring algae blooms. eLife. 2016;5:e11888.
pubmed: 27054497 pmcid: 4829426 doi: 10.7554/eLife.11888
Francis TB, Bartosik D, Sura T, Sichert A, Hehemann JH, Markert S, et al. Changing expression patterns of TonB-dependent transporters suggest shifts in polysaccharide consumption over the course of a spring phytoplankton bloom. ISME J. 2021;15(8):2336–50.
pubmed: 33649555 pmcid: 8319329 doi: 10.1038/s41396-021-00928-8
Krüger K, Chafee M, Francis TB, del Rio TG, Becher D, Schweder T, et al. In marine Bacteroidetes the bulk of glycan degradation during algae blooms is mediated by few clades using a restricted set of genes. ISME J. 2019;13(11):2800–16.
pubmed: 31316134 pmcid: 6794258 doi: 10.1038/s41396-019-0476-y
Francis TB, Krüger K, Fuchs BM, Teeling H, Amann RI. Candidatus Prosiliicoccus vernus, a spring phytoplankton bloom associated member of the Flavobacteriaceae. Syst Appl Microbiol. 2019;42(1):41–53.
pubmed: 30193855 doi: 10.1016/j.syapm.2018.08.007
Okazaki Y, Fujinaga S, Tanaka A, Kohzu A, Oyagi H, Nakano S. Ubiquity and quantitative significance of bacterioplankton lineages inhabiting the oxygenated hypolimnion of deep freshwater lakes. ISME J. 2017;11(10):2279–93.
pubmed: 28585941 pmcid: 5607371 doi: 10.1038/ismej.2017.89
Bowers RM, Kyrpides NC, Stepanauskas R, Harmon-Smith M, Doud D, Reddy TBK, et al. Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea. Nat Biotechnol. 2017;35(8):725–31.
pubmed: 28787424 pmcid: 6436528 doi: 10.1038/nbt.3893
Almeida A, Mitchell AL, Boland M, Forster SC, Gloor GB, Tarkowska A, et al. A new genomic blueprint of the human gut microbiota. Nature. 2019;568(7753):499–504.
pubmed: 30745586 pmcid: 6784870 doi: 10.1038/s41586-019-0965-1
Kavagutti VS, Bulzu PA, Chiriac CM, Salcher MM, Mukherjee I, Shabarova T, et al. High-resolution metagenomic reconstruction of the freshwater spring bloom. Microbiome. 2023;11(1):15.
pubmed: 36698172 pmcid: 9878933 doi: 10.1186/s40168-022-01451-4
Avcı B, Krüger K, Fuchs BM, Teeling H, Amann RI. Polysaccharide niche partitioning of distinct Polaribacter clades during North Sea spring algal blooms. ISME J. 2020;14(6):1369–83.
pubmed: 32071394 pmcid: 7242417 doi: 10.1038/s41396-020-0601-y
Hahnke RL, Bennke CM, Fuchs BM, Mann AJ, Rhiel E, Teeling H, et al. Dilution cultivation of marine heterotrophic bacteria abundant after a spring phytoplankton bloom in the North Sea. Environ Microbiol. 2015;17(10):3515–26.
pubmed: 24725270 doi: 10.1111/1462-2920.12479
Alonso C, Warnecke F, Amann R, Pernthaler J. High local and global diversity of Flavobacteria in marine plankton. Environ Microbiol. 2007;9(5):1253–66.
pubmed: 17472638 doi: 10.1111/j.1462-2920.2007.01244.x
Chafee M, Fernàndez-Guerra A, Buttigieg PL, Gerdts G, Eren AM, Teeling H, et al. Recurrent patterns of microdiversity in a temperate coastal marine environment. ISME J. 2018;12(1):237–52.
pubmed: 29064479 doi: 10.1038/ismej.2017.165
Williams TJ, Wilkins D, Long E, Evans F, DeMaere MZ, Raftery MJ, et al. The role of planktonic Flavobacteria in processing algal organic matter in coastal East Antarctica revealed using metagenomics and metaproteomics. Environ Microbiol. 2013;15(5):1302–17.
pubmed: 23126454 doi: 10.1111/1462-2920.12017
Jeong SE, Kim KH, Baek K, Jeon CO. Parasphingopyxis algicola sp. nov., isolated from a marine red alga Asparagopsis taxiformis and emended description of the genus Parasphingopyxis Uchida et al. 2012. Int J Syst Evol Microbiol. 2017;67(10):3877–81.
pubmed: 28884660 doi: 10.1099/ijsem.0.002215
Zhang XL, Qi M, Li QH, Cui ZD, Yang Q. Maricaulis alexandrii sp. nov., a novel active bioflocculants-bearing and dimorphic prosthecate bacterium isolated from marine phycosphere. Antonie Van Leeuwenhoek. 2021;114(8):1195–203.
pubmed: 33945067 doi: 10.1007/s10482-021-01588-6
Yoo JH, Han JE, Lee JY, Jeong SW, Jeong YS, Lee JY, et al. Parasphingorhabdus cellanae sp. nov., isolated from the gut of a Korean limpet, Cellana toreuma. Int J Syst Evol Microbiol. 2022;72(8):005470.
doi: 10.1099/ijsem.0.005470
Abraham WR, Strömpl C, Meyer H, Lindholst S, Moore ERB, Christ R, et al. Phylogeny and polyphasic taxonomy of Caulobacter species. Proposal of Maricaulis gen. nov. with Maricaulis maris (Poindexter) comb. nov. as the type species, and emended description of the genera Brevundirnonas and Caulobacter. Int J Syst Evol Microbiol. 1999;49(3):1053–73.
doi: 10.1099/00207713-49-3-1053
Abraham WR, Rohde M. The family Hyphomonadaceae. In: Rosenberg E, EF DL, Lory S, Stackebrandt E, Thompson F, editors. The prokaryotes: Alphaproteobacteria and Betaproteobacteria. Berlin, Heidelberg: Springer Berlin Heidelberg. 2014:p. 283–99.
Löder MGJ, Kraberg AC, Aberle N, Peters S, Wiltshire KH. Dinoflagellates and ciliates at Helgoland Roads North Sea. Helgoland Mar Res. 2012;66:11–23.
doi: 10.1007/s10152-010-0242-z
Weisse T, Tande K, Verity P, Hansen F, Gieskes W. The trophic significance of Phaeocystis blooms. J Mar Syst. 1994;5(1):67–79.
doi: 10.1016/0924-7963(94)90017-5
Schnepf E, Kühn SF. Food uptake and fine structure of Cryothecomonas longipes sp nov., a marine nanoflagellate incertae sedis feeding phagotrophically on large diatoms. Helgoland Mar Res. 2000;54(1):18–32.
doi: 10.1007/s101520050032
Francis TB, Urich T, Mikolasch A, Teeling H, Amann R. North Sea spring bloom-associated Gammaproteobacteria fill diverse heterotrophic niches. Environ Microbiome. 2021;16:15.
pubmed: 34404489 pmcid: 8371827 doi: 10.1186/s40793-021-00385-y
Mareček F, Møller MS, Svensson B, Janeček Š. A putative novel starch-binding domain revealed by in silico analysis of the N-terminal domain in bacterial amylomaltases from the family GH77. 3 Biotech. 2021;11(5):229.
pubmed: 33968573 pmcid: 8060381 doi: 10.1007/s13205-021-02787-8
Koch H, Dürwald A, Schweder T, Noriega-Ortega B, Vidal-Melgosa S, Hehemann JH, et al. Biphasic cellular adaptations and ecological implications of Alteromonas macleodii degrading a mixture of algal polysaccharides. ISME J. 2019;13(1):92–103.
pubmed: 30116038 doi: 10.1038/s41396-018-0252-4
Bunse C, Koch H, Breider S, Simon M, Wietz M. Sweet spheres: succession and CAZyme expression of marine bacterial communities colonizing a mix of alginate and pectin particles. Environ Microbiol. 2021;23(6):3130–48.
pubmed: 33876546 doi: 10.1111/1462-2920.15536
Huang GY, Vidal-Melgosa S, Sichert A, Becker S, Fang Y, Niggemann J, et al. Secretion of sulfated fucans by diatoms may contribute to marine aggregate formation. Limnol Oceanogr. 2021;66(10):3768–82.
doi: 10.1002/lno.11917
Hecky RE, Mopper K, Kilham P, Degens ET. The amino acid and sugar composition of diatom cell-walls. Mar Biol. 1973;19(4):323–31.
doi: 10.1007/BF00348902
Humann J, Lenz LL. Bacterial peptidoglycan-degrading enzymes and their impact on host muropeptide detection. J Innate Immun. 2009;1(2):88–97.
pubmed: 19319201 doi: 10.1159/000181181
Kitayama K, Hama T, Yanagi K. Bioreactivity of peptidoglycan in seawater. Aquat Microb Ecol. 2007;46:85–93.
doi: 10.3354/ame046085
Sichert A, Corzett CH, Schechter MS, Unfried F, Markert S, Becher D, et al. Verrucomicrobia use hundreds of enzymes to digest the algal polysaccharide fucoidan. Nat Microbiol. 2020;5(8):1026–39.
pubmed: 32451471 doi: 10.1038/s41564-020-0720-2
Vidal-Melgosa S, Sichert A, Francis TB, Bartosik D, Niggemann J, Wichels A, et al. Diatom fucan polysaccharide precipitates carbon during algal blooms. Nat Commun. 2021;12(1):1150.
pubmed: 33608542 pmcid: 7896085 doi: 10.1038/s41467-021-21009-6
Bligh M, Nguyen N, Buck-Wiese H, Vidal-Melgosa S, Hehemann JH. Structures and functions of algal glycans shape their capacity to sequester carbon in the ocean. Curr Opin Chem Biol. 2022;71:102204.
pubmed: 36155346 doi: 10.1016/j.cbpa.2022.102204
Brown HA, Koropatkin NM. Host glycan utilization within the Bacteroidetes Sus-like paradigm. Glycobiology. 2021;31(6):697–706.
pubmed: 32518945 doi: 10.1093/glycob/cwaa054
Briliūtė J, Urbanowicz PA, Luis AS, Baslé A, Paterson N, Rebello O, et al. Complex N-glycan breakdown by gut Bacteroides involves an extensive enzymatic apparatus encoded by multiple co-regulated genetic loci. Nat Microbiol. 2019;4(9):1571–81.
pubmed: 31160824 doi: 10.1038/s41564-019-0466-x
Tivey TR, Parkinson JE, Mandelare PE, Adpressa DA, Peng W, Dong X, et al. N-linked surface glycan biosynthesis, composition, inhibition, and function in cnidarian-dinoflagellate symbiosis. Microb Ecol. 2020;80(1):223–36.
pubmed: 31982929 doi: 10.1007/s00248-020-01487-9
Baïet B, Burel C, Saint-Jean B, Louvet R, Menu-Bouaouiche L, Kiefer-Meyer MC, et al. N-glycans of Phaeodactylum tricornutum diatom and functional characterization of its N-acetylglucosaminyltransferase I enzyme. J Biol Chem. 2011;286(8):6152–64.
pubmed: 21169367 doi: 10.1074/jbc.M110.175711
Mócsai R, Figl R, Troschl C, Strasser R, Svehla E, Windwarder M, et al. N-glycans of the microalga Chlorella vulgaris are of the oligomannosidic type but highly methylated. Sci Rep. 2019;9(1):331.
pubmed: 30674946 pmcid: 6344472 doi: 10.1038/s41598-018-36884-1
Orellana LH, Francis TB, Ferraro M, Hehemann JH, Fuchs BM, Amann RI. Verrucomicrobiota are specialist consumers of sulfated methyl pentoses during diatom blooms. ISME J. 2022;16(3):630–41.
pubmed: 34493810 doi: 10.1038/s41396-021-01105-7
Hehemann JH, Correc G, Barbeyron T, Helbert W, Czjzek M, Michel G. Transfer of carbohydrate-active enzymes from marine bacteria to Japanese gut microbiota. Nature. 2010;464(7290):908–12.
pubmed: 20376150 doi: 10.1038/nature08937
Ren YH, Luo ZH, Liu Q, Wei B, Wu YH, Shu WS, et al. Insights into community assembly mechanisms, biogeography, and metabolic potential of particle-associated and free-living prokaryotes in tropical oligotrophic surface oceans. Front Mar Sci. 2022;9:923295.
doi: 10.3389/fmars.2022.923295
Cho JC, Giovannoni SJ. Cultivation and growth characteristics of a diverse group of oligotrophic marine Gammaproteobacteria. Appl Environ Microbiol. 2004;70(1):432–40.
pubmed: 14711672 pmcid: 321273 doi: 10.1128/AEM.70.1.432-440.2004
Wemheuer B, Güllert S, Billerbeck S, Giebel HA, Voget S, Simon M, et al. Impact of a phytoplankton bloom on the diversity of the active bacterial community in the southern North Sea as revealed by metatranscriptomic approaches. FEMS Microbiol Ecol. 2014;87(2):378–89.
pubmed: 24111503 doi: 10.1111/1574-6941.12230
Holert J, Cardenas E, Bergstrand LH, Zaikova E, Hahn AS, Hallam SJ, et al. Metagenomes reveal global distribution of bacterial steroid catabolism in natural, engineered, and host environments. mBio. 2018;9(1):e02345–17.
pubmed: 29382738 pmcid: 5790920 doi: 10.1128/mBio.02345-17
Yu XP, Yu KF, Liao ZH, Chen B, Deng CQ, Yu JY, et al. Seasonal fluctuations in symbiotic bacteria and their role in environmental adaptation of the scleractinian coral Acropora pruinosa in high-latitude coral reef area of the South China Sea. Sci Total Environ. 2021;792:148438.
pubmed: 34153755 doi: 10.1016/j.scitotenv.2021.148438
Paix B, Othmani A, Debroas D, Culioli G, Briand JF. Temporal covariation of epibacterial community and surface metabolome in the Mediterranean seaweed holobiont Taonia atomaria. Environ Microbiol. 2019;21(9):3346–63.
pubmed: 30945796 doi: 10.1111/1462-2920.14617
Hu XJ, Su HC, Zhang P, Chen ZZ, Xu Y, Xu WJ, et al. Microbial community characteristics of the intestine and gills of medium-form populations of Sthenoteuthis oualaniensis in the South China Sea. Fishes. 2022;7(4):191.
doi: 10.3390/fishes7040191
Suzuki T, Muroga Y, Takahama M, Nishimura Y. Roseigium denhamense gen. nov., sp. nov. and Roseibium hemelinense sp. nov., aerobic bacteriochlorophyll-containing bacteria isolated from the east and west coasts of Australia. Int J Syst Evol Microbiol. 2000;50(6):2151–6.
pubmed: 11155991 doi: 10.1099/00207713-50-6-2151
Couceiro JF, Keller-Costa T, Marques M, Kyrpides NC, Woyke T, Whitman WB, et al. The Roseibium album (Labrenzia alba) genome possesses multiple symbiosis factors possibly underpinning host-microbe relationships in the marine benthos. Microbiol Resour Announc. 2021;10(34):e0032021.
pubmed: 34435855 doi: 10.1128/MRA.00320-21
Karimi E, Keller-Costa T, Slaby BM, Cox CJ, da Rocha UN, Hentschel U, et al. Genomic blueprints of sponge-prokaryote symbiosis are shared by low abundant and cultivatable Alphaproteobacteria. Sci Rep. 2019;9(1):1999.
pubmed: 30760820 pmcid: 6374434 doi: 10.1038/s41598-019-38737-x
Aguirre EG, Carlson HK, Kenkel CD. Complete genome sequence of Roseibium sp. strain Sym1, a bacterial associate of Symbiodinium linucheae, the microalgal symbiont of the anemone Aiptasia. Microbiol Resour Announc. 2023;12(3):e0111822.
pubmed: 36790190 doi: 10.1128/mra.01118-22
Thiele S, Vader A, Thomson S, Saubrekka K, Petelenz E, Armo HR, et al. The summer bacterial and archaeal community composition of the northern Barents Sea. Prog Oceanogr. 2023:103054.
Avcı B, Hahnke RL, Chafee M, Fischer T, Gruber-Vodicka H, Tegetmeyer HE, et al. Genomic and physiological analyses of ‘Reinekea forsetii’ reveal a versatile opportunistic lifestyle during spring algae blooms. Environ Microbiol. 2017;19(3):1209–21.
pubmed: 28000419 doi: 10.1111/1462-2920.13646
Bertrand EM, McCrow JP, Moustafa A, Zheng H, McQuaid JB, Delmont TO, et al. Phytoplankton–bacterial interactions mediate micronutrient colimitation at the coastal Antarctic sea ice edge. Proc Natl Acad Sci USA. 2015;112(32):9938–43.
pubmed: 26221022 pmcid: 4538660 doi: 10.1073/pnas.1501615112
Mayzaud P, Tirelli V, Bernard JM, Roche-Mayzaud O. The influence of food quality on the nutritional acclimation of the copepod Acartia clausi. J Mar Syst. 1998;15(1–4):483–93.
doi: 10.1016/S0924-7963(97)00039-0
Tirelli V, Mayzaud P. Relationship between functional response and gut transit time in the calanoid copepod Acartia clausi: role of food quantity and quality. J Plankton Res. 2005;27(6):557–68.
doi: 10.1093/plankt/fbi031
Köster M, Sietmann R, Meuche A, Paffenhöfer GA. The ultrastructure of a doliolid and a copepod fecal pellet. J Plankton Res. 2011;33(10):1538–49.
doi: 10.1093/plankt/fbr053
Rohr T, Richardson AJ, Lenton A, Chamberlain MA, Shadwick EH. Zooplankton grazing is the largest source of uncertainty for marine carbon cycling in CMIP6 models. Commun Earth Environ. 2023;4(1):212.
doi: 10.1038/s43247-023-00871-w
Hersbach H, Bell B, Berrisford P, Biavati G, Horányi A, Muñoz SJ, et al. ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). https://doi.org/10.24381/cds.adbb2d47 .
Wiltshire KH, Kraberg A, Bartsch I, Boersma M, Franke HD, Freund J, et al. Helgoland Roads, North Sea: 45 years of change. Estuar Coast. 2010;33(2):295–310.
doi: 10.1007/s12237-009-9228-y
Kraberg A, Kieb U, Peters S, Wiltshire KH. An updated phytoplankton check-list for the Helgoland Roads time series station with eleven new records of diatoms and dinoflagellates. Helgoland Mar Res. 2019;73:9.
doi: 10.1186/s10152-019-0528-8
Armonies W, Asmus H, Buschbaum C, Lackschewitz D, Reise K, Rick J. Microscopic species make the diversity: a checklist of marine flora and fauna around the Island of Sylt in the North Sea. Helgoland Mar Res. 2018;72(1):11.
doi: 10.1186/s10152-018-0512-8
Hillebrand H, Dürselen CD, Kirschtel D, Pollingher U, Zohary T. Biovolume calculation for pelagic and benthic microalgae. J Phycol. 1999;35(2):403–24.
doi: 10.1046/j.1529-8817.1999.3520403.x
Herlemann DPR, Labrenz M, Jürgens K, Bertilsson S, Waniek JJ, Andersson AF. Transitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea. ISME J. 2011;5(10):1571–9.
pubmed: 21472016 pmcid: 3176514 doi: 10.1038/ismej.2011.41
Lucas J, Wichels A, Teeling H, Chafee M, Scharfe M, Gerdts G. Annual dynamics of North Sea bacterioplankton: seasonal variability superimposes short-term variation. Fems Microbiol Ecol. 2015;91(9):fiv099.
pubmed: 26298013 doi: 10.1093/femsec/fiv099
Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. DADA2: high-resolution sample inference from Illumina amplicon data. Nat Methods. 2016;13(7):581–3.
pubmed: 27214047 pmcid: 4927377 doi: 10.1038/nmeth.3869
Andrews S. FastQC: a quality control tool for high throughput sequence data. 2010:Available online at: https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ .
Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol. 2012;19(5):455–77.
pubmed: 22506599 pmcid: 3342519 doi: 10.1089/cmb.2012.0021
Li DH, Luo RB, Liu CM, Leung CM, Ting HF, Sadakane K, et al. MEGAHIT v1.0: a fast and scalable metagenome assembler driven by advanced methodologies and community practices. Methods. 2016;102:3–11.
pubmed: 27012178 doi: 10.1016/j.ymeth.2016.02.020
Kolmogorov M, Bickhart DM, Behsaz B, Gurevich A, Rayko M, Shin SB, et al. metaFlye: scalable long-read metagenome assembly using repeat graphs. Nat Methods. 2020;17(11):1103–10.
pubmed: 33020656 pmcid: 10699202 doi: 10.1038/s41592-020-00971-x
Gurevich A, Saveliev V, Vyahhi N, Tesler G. QUAST: quality assessment tool for genome assemblies. Bioinformatics. 2013;29(8):1072–5.
pubmed: 23422339 pmcid: 3624806 doi: 10.1093/bioinformatics/btt086
Eren AM, Esen ÖC, Quince C, Vineis JH, Morrison HG, Sogin ML, et al. Anvi’o: an advanced analysis and visualization platform for ‘omics data. PeerJ. 2015;3:e1319.
pubmed: 26500826 pmcid: 4614810 doi: 10.7717/peerj.1319
Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 2015;25(7):1043–55.
pubmed: 25977477 pmcid: 4484387 doi: 10.1101/gr.186072.114
Olm MR, Brown CT, Brooks B, Banfield JF. dRep: a tool for fast and accurate genomic comparisons that enables improved genome recovery from metagenomes through de-replication. ISME J. 2017;11(12):2864–8.
pubmed: 28742071 pmcid: 5702732 doi: 10.1038/ismej.2017.126
Jain C, Rodriguez-R LM, Phillippy AM, Konstantinidis KT, Aluru S. High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat Commun. 2018;9(1):5114.
pubmed: 30504855 pmcid: 6269478 doi: 10.1038/s41467-018-07641-9
Orellana LH, Francis TB, Krüger K, Teeling H, Müller MC, Fuchs BM, et al. Niche differentiation among annually recurrent coastal Marine Group II Euryarchaeota. ISME J. 2019;13(12):3024–36.
pubmed: 31447484 pmcid: 6864105 doi: 10.1038/s41396-019-0491-z
Pruesse E, Peplies J, Glöckner FO. SINA: accurate high-throughput multiple sequence alignment of ribosomal RNA genes. Bioinformatics. 2012;28(14):1823–9.
pubmed: 22556368 pmcid: 3389763 doi: 10.1093/bioinformatics/bts252
Chaumeil PA, Mussig AJ, Hugenholtz P, Parks DH. GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database. Bioinformatics. 2020;36(6):1925–7.
doi: 10.1093/bioinformatics/btz848
Parks DH, Chuvochina M, Chaumeil PA, Rinke C, Mussig AJ, Hugenholtz P. A complete domain-to-species taxonomy for Bacteria and Archaea. Nat Biotechnol. 2020;38(9):1079–86.
pubmed: 32341564 doi: 10.1038/s41587-020-0501-8
Price MN, Dehal PS, Arkin AP. FastTree 2 – approximately maximum-likelihood trees for large alignments. PLoS ONE. 2010;5(3):e9490.
pubmed: 20224823 pmcid: 2835736 doi: 10.1371/journal.pone.0009490
Letunic I, Bork P. Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021;49(W1):W293–6.
pubmed: 33885785 pmcid: 8265157 doi: 10.1093/nar/gkab301
Hyatt D, Chen GL, LoCascio PF, Land ML, Larimer FW, Hauser LJ. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinform. 2010;11:119.
doi: 10.1186/1471-2105-11-119
Laslett D, Canback B. ARAGORN, a program to detect tRNA genes and tmRNA genes in nucleotide sequences. Nucleic Acids Res. 2004;32(1):11–6.
pubmed: 14704338 pmcid: 373265 doi: 10.1093/nar/gkh152
Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30(14):2068–9.
pubmed: 24642063 doi: 10.1093/bioinformatics/btu153
Rho M, Tang H, Ye Y. FragGeneScan: predicting genes in short and error-prone reads. Nucleic Acids Res. 2010;38(20):e191.
pubmed: 20805240 pmcid: 2978382 doi: 10.1093/nar/gkq747
Menzel P, Ng KL, Krogh A. Fast and sensitive taxonomic classification for metagenomics with Kaiju. Nat Commun. 2016;7(1):11257.
pubmed: 27071849 pmcid: 4833860 doi: 10.1038/ncomms11257
Tamames J, Puente-Sánchez F. SqueezeMeta, a highly portable, fully automatic metagenomic analysis pipeline. Front Microbiol. 2018;9:3349.
pubmed: 30733714 doi: 10.3389/fmicb.2018.03349
Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9(4):357–9.
pubmed: 22388286 pmcid: 3322381 doi: 10.1038/nmeth.1923
Zheng J, Ge Q, Yan Y, Zhang X, Huang L, Yin Y. dbCAN3: automated carbohydrate-active enzyme and substrate annotation. Nucleic Acids Res. 2023;51(W1):W115–21.
pubmed: 37125649 pmcid: 10320055 doi: 10.1093/nar/gkad328
Deusch S, Seifert J. Catching the tip of the iceberg - evaluation of sample preparation protocols for metaproteomic studies of the rumen microbiota. Proteomics. 2015;15(20):3590–5.
pubmed: 25765363 doi: 10.1002/pmic.201400556
Schultz D, Zühlke D, Bernhardt J, Francis TB, Albrecht D, Hirschfeld C, et al. An optimized metaproteomics protocol for a holistic taxonomic and functional characterization of microbial communities from marine particles. Environ Microbiol Rep. 2020;12(4):367–76.
pubmed: 32281239 doi: 10.1111/1758-2229.12842
Perez-Riverol Y, Bai J, Bandla C, García-Seisdedos D, Hewapathirana S, Kamatchinathan S, et al. The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences. Nucleic Acids Res. 2022;50(D1):D543–52.
pubmed: 34723319 doi: 10.1093/nar/gkab1038

Auteurs

Feng-Qing Wang (FQ)

Max Planck Institute for Marine Microbiology, Celsiusstraße 1, 28359, Bremen, Germany.

Daniel Bartosik (D)

Institute of Pharmacy, University of Greifswald, Felix-Hausdorff-Straße 3, 17489, Greifswald, Germany.
Institute of Marine Biotechnology, Walther-Rathenau-Straße 49a, 17489, Greifswald, Germany.

Chandni Sidhu (C)

Max Planck Institute for Marine Microbiology, Celsiusstraße 1, 28359, Bremen, Germany.

Robin Siebers (R)

Institute of Microbiology, University of Greifswald, Felix-Hausdorff-Straße 8, 17489, Greifswald, Germany.

De-Chen Lu (DC)

Max Planck Institute for Marine Microbiology, Celsiusstraße 1, 28359, Bremen, Germany.
Marine College, Shandong University, Weihai, 264209, China.

Anke Trautwein-Schult (A)

Institute of Microbiology, University of Greifswald, Felix-Hausdorff-Straße 8, 17489, Greifswald, Germany.

Dörte Becher (D)

Institute of Microbiology, University of Greifswald, Felix-Hausdorff-Straße 8, 17489, Greifswald, Germany.

Bruno Huettel (B)

Max Planck Genome Centre Cologne, Carl von Linné-Weg 10, 50829, Cologne, Germany.

Johannes Rick (J)

Alfred Wegener Institute for Polar and Marine Research, Biologische Anstalt Helgoland, Helgoland, 27483, Germany.

Inga V Kirstein (IV)

Alfred Wegener Institute for Polar and Marine Research, Biologische Anstalt Helgoland, Helgoland, 27483, Germany.

Karen H Wiltshire (KH)

Alfred Wegener Institute for Polar and Marine Research, Biologische Anstalt Helgoland, Helgoland, 27483, Germany.

Thomas Schweder (T)

Institute of Pharmacy, University of Greifswald, Felix-Hausdorff-Straße 3, 17489, Greifswald, Germany.
Institute of Marine Biotechnology, Walther-Rathenau-Straße 49a, 17489, Greifswald, Germany.

Bernhard M Fuchs (BM)

Max Planck Institute for Marine Microbiology, Celsiusstraße 1, 28359, Bremen, Germany.

Mia M Bengtsson (MM)

Institute of Microbiology, University of Greifswald, Felix-Hausdorff-Straße 8, 17489, Greifswald, Germany. mia.bengtsson@uni-greifswald.de.

Hanno Teeling (H)

Max Planck Institute for Marine Microbiology, Celsiusstraße 1, 28359, Bremen, Germany. hteeling@mpi-bremen.de.

Rudolf I Amann (RI)

Max Planck Institute for Marine Microbiology, Celsiusstraße 1, 28359, Bremen, Germany. ramann@mpi-bremen.de.

Classifications MeSH