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Phylogenetic diversity and spatiotemporal dynamics of bacterial and microeukaryotic plankton communities in Gwangyang Bay of the Korean Peninsula

  • Bauer, J. E. et al. The changing carbon cycle of the coastal ocean. Nature 504, 61–70 (2013).

    ADS 
    CAS 
    PubMed 

    Google Scholar 

  • Murphy, R. R., Kemp, W. M. & Ball, W. P. Long-term trends in Chesapeake Bay seasonal hypoxia, stratification, and nutrient loading. Estuar. Coast. 34, 1293–1309 (2011).

    CAS 

    Google Scholar 

  • Nixon, S. W. et al. The impact of changing climate on phenology, productivity, and benthic–pelagic coupling in Narragansett Bay. Estuar. Coast. Shelf S. 82, 1–18 (2009).

    ADS 
    CAS 

    Google Scholar 

  • Testa, J. M., Murphy, R. R., Brady, D. C. & Kemp, W. M. Nutrient-and climate-induced shifts in the phenology of linked biogeochemical cycles in a temperate estuary. Front. Mar. Sci. 5, 114 (2018).

    Google Scholar 

  • Scanes, E., Scanes, P. R. & Ross, P. M. Climate change rapidly warms and acidifies Australian estuaries. Nat. Commun. 11, 1–11 (2020).

    Google Scholar 

  • Statham, P. J. Nutrients in estuaries—An overview and the potential impacts of climate change. Sci. Total Environ. 434, 213–227 (2012).

    ADS 
    CAS 
    PubMed 

    Google Scholar 

  • Kolber, Z. S. et al. Contribution of aerobic photoheterotrophic bacteria to the carbon cycle in the ocean. Science 292, 2492–2495 (2001).

    CAS 
    PubMed 

    Google Scholar 

  • Giovannoni, S. J. & Vergin, K. L. Seasonality in ocean microbial communities. Science 335, 671–676 (2012).

    ADS 
    CAS 
    PubMed 

    Google Scholar 

  • Sul, W. J., Oliver, T. A., Ducklow, H. W., Amaral-Zettler, L. A. & Sogin, M. L. Marine bacteria exhibit a bipolar distribution. Proc. Natl. Acad. Sci. 110, 2342–2347 (2013).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Agogué, H., Lamy, D., Neal, P. R., Sogin, M. L. & Herndl, G. J. Water mass-specificity of bacterial communities in the North Atlantic revealed by massively parallel sequencing. Mol. Ecol. 20, 258–274 (2011).

    PubMed 

    Google Scholar 

  • Ghiglione, J.-F. et al. Pole-to-pole biogeography of surface and deep marine bacterial communities. Proc. Natl. Acad. Sci. 109, 17633–17638 (2012).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Techtmann, S. M. et al. The unique chemistry of eastern Mediterranean water masses selects for distinct microbial communities by depth. PLoS ONE 10, e0120605 (2015).

    PubMed 
    PubMed Central 

    Google Scholar 

  • Han, D. et al. Bacterial communities along stratified water columns at the Chukchi Borderland in the western Arctic Ocean. Deep-Sea Res. Pt. II 120, 52–60 (2015).

    Google Scholar 

  • Han, D. et al. Bacterial communities of surface mixed layer in the Pacific sector of the western Arctic ocean during sea-ice melting. PLoS ONE 9, e86887 (2014).

    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Hernando-Morales, V., Ameneiro, J. & Teira, E. Water mass mixing shapes bacterial biogeography in a highly hydrodynamic region of the Southern Ocean. Environ. Microbiol. 19, 1017–1029 (2017).

    CAS 
    PubMed 

    Google Scholar 

  • Han, D., Kang, H. Y., Kang, C.-K., Unno, T. & Hur, H.-G. Seasonal mixing-driven system in Estuarine-Coastal Zone triggers an ecological shift in bacterial assemblages involved in phytoplankton-derived DMSP degradation. Microb. Ecol. 79, 12–20 (2020).

    CAS 
    PubMed 

    Google Scholar 

  • Fuhrman, J. A., Cram, J. A. & Needham, D. M. Marine microbial community dynamics and their ecological interpretation. Nat. Rev. Microbiol. 13, 133–146 (2015).

    CAS 
    PubMed 

    Google Scholar 

  • Higashi, K., Suzuki, S., Kurosawa, S., Mori, H. & Kurokawa, K. Latent environment allocation of microbial community data. PLoS Comput. Biol. 14, e1006143 (2018).

    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Kim, D. et al. Water quality assessment at Jinhae Bay and Gwangyang Bay, South Korea. Ocean Sci. J. 49, 251–264 (2014).

    CAS 

    Google Scholar 

  • Chen, M., Kim, D., Liu, H. & Kang, C.-K. Variability in copepod trophic levels and feeding selectivity based on stable isotope analysis in Gwangyang Bay of the southern coast of the Korean Peninsula. Biogeosciences 15, 2055–2073 (2018).

    ADS 
    CAS 

    Google Scholar 

  • Lee, J. H. et al. The effects of different environmental factors on the biochemical composition of particulate organic matter in Gwangyang Bay, South Korea. Biogeosciences 14, 1903–1917 (2017).

    ADS 
    CAS 

    Google Scholar 

  • Fine, P. V. & Kembel, S. W. Phylogenetic community structure and phylogenetic turnover across space and edaphic gradients in western Amazonian tree communities. Ecography 34, 552–565 (2011).

    Google Scholar 

  • Stegen, J. C., Lin, X., Konopka, A. E. & Fredrickson, J. K. Stochastic and deterministic assembly processes in subsurface microbial communities. ISME J. 6, 1653–1664 (2012).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Tripathi, B. M. et al. Soil pH mediates the balance between stochastic and deterministic assembly of bacteria. ISME J. 12, 1072–1083 (2018).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Feng, Y. et al. Two key features influencing community assembly processes at regional scale: Initial state and degree of change in environmental conditions. Mol. Ecol. 27, 5238–5251 (2018).

    PubMed 

    Google Scholar 

  • Stegen, J. C., Lin, X., Fredrickson, J. K. & Konopka, A. E. Estimating and mapping ecological processes influencing microbial community assembly. Front. Micorbiol. 6, 370 (2015).

    Google Scholar 

  • Dini-Andreote, F., Stegen, J. C., van Elsas, J. D. & Salles, J. F. Disentangling mechanisms that mediate the balance between stochastic and deterministic processes in microbial succession. Proc. Natl. Acad. Sci. 112, E1326–E1332 (2015).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Wang, J. et al. Phylogenetic beta diversity in bacterial assemblages across ecosystems: Deterministic versus stochastic processes. ISME J. 7, 1310–1321 (2013).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Lindemann, S. R. et al. The epsomitic phototrophic microbial mat of Hot Lake, Washington: Community structural responses to seasonal cycling. Front. Micorbiol. 4, 323 (2013).

    Google Scholar 

  • Webb, C. O., Ackerly, D. D., McPeek, M. A. & Donoghue, M. J. Phylogenies and community ecology. Annu. Rev. Ecol. Syst. 33, 475–505 (2002).

    Google Scholar 

  • Amaral-Zettler, L. A. et al. Microbial community structure across the tree of life in the extreme Rio Tinto. ISME J. 5, 42–50 (2011).

    PubMed 

    Google Scholar 

  • Han, D. et al. Survey of bacterial phylogenetic diversity during the glacier melting season in an Arctic Fjord. Microb. Ecol. 81, 579–591 (2021).

    CAS 
    PubMed 

    Google Scholar 

  • Brand, L. E., Campbell, L. & Bresnan, E. Karenia: The biology and ecology of a toxic genus. Harmful Algae 14, 156–178 (2012).

    Google Scholar 

  • Escalera, L., Pazos, Y., Moroño, Á. & Reguera, B. Noctiluca scintillans may act as a vector of toxigenic microalgae. Harmful Algae 6, 317–320 (2007).

    Google Scholar 

  • Tada, K., Pithakpol, S., Yano, R. & Montani, S. Carbon and nitrogen content of Noctiluca scintillans in the Seto Inland Sea, Japan. J. Plankton. Res. 22, 1203–1211 (2000).

    Google Scholar 

  • Hyun, B. et al. Effects of increased CO2 and temperature on the growth of four diatom species (Chaetoceros debilis, Chaetoceros didymus, Skeletonema costatum and Thalassiosira nordenskioeldii) in laboratory experiments. J. Environ. Sci. Int. 23, 1003–1012 (2014).

    Google Scholar 

  • Park, J. S., Lee, S. D. & Lee, J. H. Taxonomic study on the euryhaline Cyclotella (Bacillariophyta) species in Korea. J. Ecol. Environ. 36, 407–409 (2013).

    Google Scholar 

  • Yun, S. M. & Lee, J. H. Morphology and distribution of some marine diatoms, Family Rhizosoleniaceae, in Korean coastal waters: A genus Rhizosolenia. Algae 25, 173–182 (2010).

    Google Scholar 

  • Park, J. S., Jung, S. W., Lee, S. D., Yun, S. M. & Lee, J. H. Species diversity of the genus Thalassiosira (Thalassiosirales, Bacillariophyta) in South Korea and its biogeographical distribution in the world. Phycologia 55, 403–423 (2016).

    Google Scholar 

  • Dupont, C. L. et al. Genomic insights to SAR86, an abundant and uncultivated marine bacterial lineage. ISME J. 6, 1186–1199 (2012).

    CAS 
    PubMed 

    Google Scholar 

  • Landa, M. et al. Sulfur metabolites that facilitate oceanic phytoplankton–bacteria carbon flux. ISME J. 13, 2536–2550 (2019).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Müller, A. L. et al. Bacterial interactions during sequential degradation of cyanobacterial necromass in a sulfidic arctic marine sediment. Environ. Microbiol. 20, 2927–2940 (2018).

    PubMed 
    PubMed Central 

    Google Scholar 

  • Morris, R. M. et al. SAR11 clade dominates ocean surface bacterioplankton communities. Nature 420, 806–810 (2002).

    ADS 
    CAS 
    PubMed 

    Google Scholar 

  • Giovannoni, S. J. SAR11 bacteria: The most abundant plankton in the oceans. Annu. Rev. Mar. Sci. 9, 231–255 (2017).

    ADS 

    Google Scholar 

  • Mühlenbruch, M., Grossart, H. P., Eigemann, F. & Voss, M. Mini-review: Phytoplankton-derived polysaccharides in the marine environment and their interactions with heterotrophic bacteria. Environ. Microbiol. 20, 2671–2685 (2018).

    PubMed 

    Google Scholar 

  • Stock, W. et al. Host specificity in diatom–bacteria interactions alleviates antagonistic effects. FEMS Microbiol. Ecol. 95, 171 (2019).

    Google Scholar 

  • Herlemann, D. P. et al. Transitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea. ISME J. 5, 1571–1579 (2011).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Illumina. 16S Metagenomic sequencing library preparation. Preparing 16S Ribosomal RNA Gene Amplicons for the Illumina MiSeq System (2013).

  • Schloss, P. D. et al. Introducing mothur: Open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl. Environ. Microbiol. 75, 7537–7541 (2009).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Kozich, J. J., Westcott, S. L., Baxter, N. T., Highlander, S. K. & Schloss, P. D. Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform. Appl. Environ. Microbiol. 79, 5112–5120 (2013).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Webb, C. O., Ackerly, D. D. & Kembel, S. W. Phylocom: Software for the analysis of phylogenetic community structure and trait evolution. Bioinformatics 24, 2098–2100 (2008).

    CAS 
    PubMed 

    Google Scholar 

  • R Core Team. The R Stats Package (R Core Team, 2002).

    Google Scholar 

  • Oksanen, J. & Blanchet, F. G. Package ‘vegan’ (2017).

  • Martinez Arbizu, P. pairwiseAdonis: Pairwise multilevel comparison using adonis. 1 (2017).

  • Roberts, D. W. & Roberts, M. D. W. Package ‘labdsv’. (2016).

  • Gu, Z., Eils, R. & Schlesner, M. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics 32, 2847–2849 (2016).

    CAS 
    PubMed 

    Google Scholar 

  • Gustavsen, J. A., Pai, S., Isserlin, R., Demchak, B. & Pico, A. R. RCy3: Network biology using cytoscape from within R. F1000Research 8, 1774 (2019).

    PubMed 
    PubMed Central 

    Google Scholar 

  • Kahle, D., Wickham, H. & Kahle, M. D. Package ‘ggmap’ (2019).


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