Lovejoy, C., Massana, R. & Pedros-Alio, C. Diversity and distribution of marine microbial eukaryotes in the Arctic Ocean and adjacent seas. Appl. Environ. Microb. 72, 3085–3095. https://doi.org/10.1128/aem.72.5.3085-3095.2006 (2006).
Google Scholar
Chamnansinp, A., Li, Y., Lundholm, N. & Moestrup, Ø. Global diversity of two widespread, colony-forming diatoms of the marine plankton, Chaetoceros socialis (syn. C. radians) and Chaetoceros gelidus sp. nov.. J. Phycol. 49, 1128–1141. https://doi.org/10.1111/jpy.12121 (2013).
Google Scholar
Bluhm, B. A. & Gradinger, R. Regional variability in food availability for Arctic marine mammals. Ecol. Appl. 18, S77-96. https://doi.org/10.1890/06-0562.1 (2008).
Google Scholar
Bâcle, J., Carmack, E. C. & Ingram, R. G. Water column structure and circulation under the North Water during spring transition: April–July 1998. Deep Sea Res. Part II Top. Stud. Oceanogr. 49, 4907–4925. https://doi.org/10.1016/S0967-0645(02)00170-4 (2002).
Google Scholar
Dumont, D., Gratton, Y. & Arbetter, T. E. Modeling wind-driven circulation and landfast ice-edge processes during polynya events in Northern Baffin Bay. J. Phys. Oceanogr. 40, 1356–1372. https://doi.org/10.1175/2010JPO4292.1 (2010).
Google Scholar
Tremblay, J. -É., Gratton, Y., Fauchot, J. & Price, N. M. Climatic and oceanic forcing of new, net, and diatom production in the North Water. Deep Sea Res. Part II Top. Stud. Oceanogr. 49, 4927–4946. https://doi.org/10.1016/S0967-0645(02)00171-6 (2002).
Google Scholar
Michel, C. et al. Arctic Ocean outflow shelves in the changing Arctic: A review and perspectives. Progr. Oceanogr. 139, 66–88. https://doi.org/10.1016/j.pocean.2015.08.007 (2015).
Google Scholar
Møller, E. F. et al. Zooplankton phenology may explain the North Water polynya’s importance as a breeding area for little auks. Mar. Ecol. Progr. Ser. 605, 207–223. https://doi.org/10.3354/meps12745 (2018).
Google Scholar
Mei, Z.-P. et al. Physical control of spring–summer phytoplankton dynamics in the North Water, April–July 1998. Deep Sea Res. Part II Top. Stud. Oceanogr. 49, 4959–4982. https://doi.org/10.1016/S0967-0645(02)00173-X (2002).
Google Scholar
Marchese, C. et al. Changes in phytoplankton bloom phenology over the North Water (NOW) polynya: a response to changing environmental conditions. Polar Biol. 40, 1721–1737. https://doi.org/10.1007/s00300-017-2095-2 (2017).
Google Scholar
Martin, J. et al. Prevalence, structure and properties of subsurface chlorophyll maxima in Canadian Arctic waters. Mar. Ecol. Progr. Ser. 412, 69–84. https://doi.org/10.3354/meps08666 (2010).
Google Scholar
Joli, N. et al. Need for focus on microbial species following ice melt and changing freshwater regimes in a Janus Arctic Gateway. Sci. Rep. 8, 9405. https://doi.org/10.1038/s41598-018-27705-6 (2018).
Google Scholar
Lehmann, N. et al. Remote western Arctic nutrients fuel remineralization in deep Baffin Bay. Global Biogeochem. Cycles 33, 649–667. https://doi.org/10.1029/2018GB006134 (2019).
Google Scholar
Blais, M. et al. Contrasting interannual changes in phytoplankton productivity and community structure in the coastal Canadian Arctic Ocean. Limnol. Oceanogr. 62, 2480–2497. https://doi.org/10.1002/lno.10581 (2017).
Google Scholar
Ardyna, M., Gosselin, M., Michel, C., Poulin, M. & Tremblay, J. -É. Environmental forcing of phytoplankton community structure and function in the Canadian High Arctic: Contrasting oligotrophic and eutrophic regions. Mar. Ecol. Progr. Ser. 442, 37–57. https://doi.org/10.3354/meps09378 (2011).
Google Scholar
Ardyna, M. et al. Recent Arctic Ocean sea ice loss triggers novel fall phytoplankton blooms. Geophys. Res. Lett. 41, 6207–6212. https://doi.org/10.1002/2014GL061047 (2014).
Google Scholar
Lovejoy, C., Legendre, L., Martineau, M.-J., Bâcle, J. & Von Quillfeldt, C. H. Distribution of phytoplankton and other protists in the North Water. Deep Sea Res. Part II Top. Stud. Oceanogr. 49, 5027–5047. https://doi.org/10.1016/S0967-0645(02)00176-5 (2002).
Google Scholar
Tremblay, J. -É., Michel, C., Hobson, K. A., Gosselin, M. & Price, N. M. Bloom dynamics in early opening waters of the Arctic Ocean. Limnol. Oceanogr. 51, 900–912. https://doi.org/10.4319/lo.2006.51.2.0900 (2006).
Google Scholar
Mayzaud, P., Boutoute, M., Noyon, M., Narcy, F. & Gasparini, S. Lipid and fatty acids in naturally occurring particulate matter during spring and summer in a high arctic fjord (Kongsfjorden, Svalbard). Mar. Biol. 160, 383–398. https://doi.org/10.1007/s00227-012-2095-2 (2013).
Google Scholar
Dumont, D., Gratton, Y. & Arbetter, T. E. Modeling the dynamics of the North Water Polynya Ice Bridge. J. Phys. Oceanogr. 39, 1448–1461. https://doi.org/10.1175/2008jpo3965.1 (2009).
Google Scholar
Simo-Matchim, A.-G., Gosselin, M., Poulin, M., Ardyna, M. & Lessard, S. Summer and fall distribution of phytoplankton in relation to environmental variables in Labrador fjords, with special emphasis on Phaeocystis pouchetii. Mar. Ecol. Progr. Ser. 572, 19–42. https://doi.org/10.3354/meps12125 (2017).
Google Scholar
Flynn, K. J. et al. Mixotrophic protists and a new paradigm for marine ecology: where does plankton research go now?. J. Plankton Res. 41, 375–391. https://doi.org/10.1093/plankt/fbz026 (2019).
Google Scholar
Levinsen, H. & Nielsen, T. G. The trophic role of marine pelagic ciliates and heterotrophic dinoflagellates in arctic and temperate coastal ecosystems: A cross-latitude comparison. Limnol. Oceanogr. 47, 427–439. https://doi.org/10.4319/lo.2002.47.2.0427 (2002).
Google Scholar
Marquardt, M., Vader, A., Stübner, E. I., Reigstad, M. & Gabrielsen, T. M. Strong seasonality of marine microbial eukaryotes in a high-Arctic fjord (Isfjorden, in West Spitsbergen, Norway). Appl. Environ. Microb. 82, 1868–1880. https://doi.org/10.1128/AEM.03208-15 (2016).
Google Scholar
Terrado, R., Vincent, W. F. & Lovejoy, C. Mesopelagic protists: diversity and succession in a coastal Arctic ecosystem. Aquat. Microb. Ecol. 56, 25–39. https://doi.org/10.3354/ame01327 (2009).
Google Scholar
Johnson, M. D. & Beaudoin, D. J. The genetic diversity of plastids associated with mixotrophic oligotrich ciliates. Limnol. Oceanogr. 64, 2187–2201. https://doi.org/10.1002/lno.11178 (2019).
Google Scholar
Onda, D. F. et al. Seasonal and interannual changes in ciliate and dinoflagellate species assemblages in the Arctic Ocean (Amundsen Gulf, Beaufort Sea, Canada). Front. Mar. Sci. 4, 16. https://doi.org/10.3389/fmars.2017.00016 (2017).
Google Scholar
Olsen, L. M. et al. A red tide in the pack ice of the Arctic Ocean. Sci. Rep. 9, 9536. https://doi.org/10.1038/s41598-019-45935-0 (2019).
Google Scholar
Lovejoy, C. et al. Distribution, phylogeny, and growth of cold-adapted Picoprasinophytes in Arctic seas 1. J. Phycol. 43, 78–89. https://doi.org/10.1111/j.1529-8817.2006.00310.x (2007).
Google Scholar
Metfies, K., von Appen, W.-J., Kilias, E., Nicolaus, A. & Nöthig, E.-M. Biogeography and photosynthetic biomass of arctic marine pico-eukaroytes during summer of the record sea ice minimum 2012. PLoS ONE 11, e0148512. https://doi.org/10.1371/journal.pone.0148512 (2016).
Google Scholar
Joli, N., Monier, A., Logares, R. & Lovejoy, C. Seasonal patterns in Arctic prasinophytes and inferred ecology of Bathycoccus unveiled in an Arctic winter metagenome. ISME J. 11, 1372. https://doi.org/10.1038/ismej.2017.7 (2017).
Google Scholar
Piedade, G. J., Wesdorp, E. M., Montenegro-Borbolla, E., Maat, D. S. & Brussaard, C. P. D. Influence of irradiance and temperature on the virus MpoV-45T infecting the Arctic picophytoplankter Micromonas polaris. Viruses 10, 676. https://doi.org/10.3390/v10120676 (2018).
Google Scholar
Maat, D. S. et al. Characterization and temperature dependence of Arctic Micromonas polaris viruses. Viruses 9, 134. https://doi.org/10.3390/v9060134 (2017).
Google Scholar
Demory, D. et al. Picoeukaryotes of the Micromonas genus: sentinels of a warming ocean. ISME J. 13, 132–146. https://doi.org/10.1038/s41396-018-0248-0 (2019).
Google Scholar
Ardyna, M. et al. Shelf-basin gradients shape ecological phytoplankton niches and community composition in the coastal Arctic Ocean (Beaufort Sea). Limnol. Oceanogr. 62, 2113–2132. https://doi.org/10.1002/lno.10554 (2017).
Google Scholar
Luddington, I. A., Lovejoy, C. & Kaczmarska, I. Species-rich meta-communities of the diatom order Thalassiosirales in the Arctic and northern Atlantic Ocean. J. Plankton Res. 38, 781–797. https://doi.org/10.1093/plankt/fbw030 (2016).
Google Scholar
Booth, B. C. et al. Dynamics of Chaetoceros socialis blooms in the North Water. Deep Sea Res. Part II Top. Stud. Oceanogr. 49, 5003–5025. https://doi.org/10.1016/S0967-0645(02)00175-3 (2002).
Google Scholar
Oziel, L. et al. Faster Atlantic currents drive poleward expansion of temperate phytoplankton in the Arctic Ocean. Nat. Commun. 11, 1–8. https://doi.org/10.1038/s41467-020-15485-5 (2020).
Google Scholar
Dı́ez, B., Pedrós-Alió, C. & Massana, R. Study of genetic diversity of eukaryotic picoplankton in different oceanic regions by small-subunit rRNA Gene cloning and sequencing. Appl. Environ. Microb. 67, 2932. https://doi.org/10.1128/AEM.67.7.2932-2941.2001 (2001).
Google Scholar
Crawford, D. W., Cefarelli, A. O., Wrohan, I. A., Wyatt, S. N. & Varela, D. E. Spatial patterns in abundance, taxonomic composition and carbon biomass of nano-and microphytoplankton in subarctic and Arctic Seas. Prog. Oceanogr. 162, 132–159. https://doi.org/10.1016/j.pocean.2018.01.006 (2018).
Google Scholar
Fu, R. & Gong, J. Single cell analysis linking ribosomal (r) DNA and r RNA copy numbers to cell size and growth rate provides insights into molecular protistan ecology. J. Eukaryot. Microbiol. 64, 885–896. https://doi.org/10.1111/jeu.12425 (2017).
Google Scholar
Lewis, K., Van Dijken, G. & Arrigo, K. R. Changes in phytoplankton concentration now drive increased Arctic Ocean primary production. Science 369, 198–202. https://doi.org/10.1126/science.aay8380 (2020).
Google Scholar
Fetterer, F., Knowles, K., Meier, W. N., Savoie, M. & Windnagel, A. K. Updated daily Sea Ice Index, Version 3 (NSIDC: National Snow and Ice Data Center, Boulder, CO USA). https://doi.org/10.7265/N5K072F8 (2017).
Ryan, P. A. & Münchow, A. Sea ice draft observations in Nares Strait from 2003 to 2012. J. Geophys. Res. Oceans 122, 3057–3080. https://doi.org/10.1002/2016JC011966 (2017).
Google Scholar
Grasshoff, K. et al. (eds). Methods of seawater analysis 3rd edn (John Wiley & Sons). https://doi.org/10.1002/9783527613984 (2009).
Terrado, R. et al. Protist community composition during spring in an Arctic flaw lead polynya. Polar Biol. 34, 1901–1914. https://doi.org/10.1007/s00300-011-1039-5 (2011).
Google Scholar
Dasilva, C. R., Li, W. K. W. & Lovejoy, C. Phylogenetic diversity of eukaryotic marine microbial plankton on the Scotian Shelf Northwestern Atlantic Ocean. J. Plankton Res. 36, 344–363. https://doi.org/10.1093/plankt/fbt123 (2014).
Google Scholar
Comeau, A. M., Li, W. K., Tremblay, J. -É., Carmack, E. C. & Lovejoy, C. Arctic Ocean microbial community structure before and after the 2007 record sea ice minimum. PLoS ONE 6, e27492. https://doi.org/10.1371/journal.pone.0027492 (2011).
Google Scholar
Bushnell, B., Rood, J. & Singer, E. BBMerge–accurate paired shotgun read merging via overlap. PLoS ONE 12, e0185056. https://doi.org/10.1371/journal.pone.0185056 (2017).
Google Scholar
Rognes, T., Flouri, T., Nichols, B., Quince, C. & Mahé, F. VSEARCH: A versatile open source tool for metagenomics. PeerJ 4, e2584. https://doi.org/10.7717/peerj.2584 (2016).
Google Scholar
Edgar, R. C. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26, 2460–2461. https://doi.org/10.1093/bioinformatics/btq461 (2010).
Google Scholar
Schloss, P. D. et al. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl. Environ. Microb. 75, 7537–7541. https://doi.org/10.1128/AEM.01541-09 (2009).
Google Scholar
Comeau, A. M. et al. Protists in Arctic drift and land-fast sea ice. J. Phycol. 49, 229–240. https://doi.org/10.1111/jpy.12026 (2013).
Google Scholar
Quast, C. et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 41, D590–D596. https://doi.org/10.1093/nar/gks1219 (2012).
Google Scholar
Guillou, L. et al. The protist ribosomal reference database (PR2): A catalog of unicellular eukaryote Small Sub-Unit rRNA sequences with curated taxonomy. Nucleic Acids Res. 41, D597–D604. https://doi.org/10.1093/nar/gks1160 (2012).
Google Scholar
Caporaso, J. G. et al. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 7, 335–336. https://doi.org/10.1038/nmeth.f.303 (2010).
Google Scholar
Berger, S. A., Krompass, D. & Stamatakis, A. Performance, accuracy, and web server for evolutionary placement of short sequence reads under Maximum Likelihood. Syst. Biol. 60, 291–302. https://doi.org/10.1093/sysbio/syr010 (2011).
Google Scholar
Edgar, R. C. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797. https://doi.org/10.1093/nar/gkh340 (2004).
Google Scholar
Stamatakis, A. RAxML version 8: A tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313. https://doi.org/10.1093/bioinformatics/btu033 (2014).
Google Scholar
Thomson, R. E. & Fine, I. V. Estimating mixed layer depth from oceanic profile data. J. Atmos. Ocean. Technol. 20, 319–329. https://doi.org/10.1175/1520-0426(2003)020%3c0319:EMLDFO%3e2.0.CO;2 (2003).
Google Scholar
Chazdon, R. L. et al. A novel statistical method for classifying habitat generalists and specialists. Ecology 92, 1332–1343. https://doi.org/10.1890/10-1345.1 (2011).
Google Scholar
Melling, H., Gratton, Y. & Ingram, G. Ocean circulation within the North Water polynya of Baffin Bay. Atmos. Ocean 39, 301–325. https://doi.org/10.1080/07055900.2001.9649683 (2001).
Google Scholar
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