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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Raes, Eric J; Bodrossy, Levente; Van De Kamp, Jodie; Bissett, Andrew; Waite, Anya M (2018): Marine bacterial richness increases towards higher latitudes in the eastern Indian Ocean. Limnology and Oceanography Letters, 3(1), 10-19, https://doi.org/10.1002/lol2.10058
    Publication Date: 2023-03-16
    Description: Abstract: We investigated the bacterial community structure in surface waters along a 2500 km transect in the eastern Indian Ocean. Using high throughput sequencing of the 16S rRNA gene we measured a significant latitudinal increase in bacterial richness from 800 to 1400 OTUs (42% increase; r2=0.65; p〈0.001) from the tropical Timor Sea to the colder temperate waters. Total dissolved inorganic nitrogen, chl a, phytoplankton community structure and primary productivity strongly correlated with bacterial richness (all p〈0.01). Our data suggest that primary productivity drives greater bacterial richness. Because, N2-fixation accounts for up to 50% of new production in this region we tested whether higher N2-fixation rates are linked to a greater nifH diversity. The nifH diversity was dominated by heterotrophic Alphaproteobacteria, Betaproteobacteria, and Gammaproteobacteria. We did not found any mechanistic links between nifH amplicon data, bacterial richness and primary productivity due to the overall low nifH evenness in this region. Scientific statement: Geographic gradients of marine microbial diversity is currently thought to be explained by two mechanisms, 1) diversity increases with increased productivity, and 2) it increases with increasing temperature. However, conclusive evidence for these mechanisms has been lacking from studies that span gradients in both, and it is unclear which organisms are responsible for the changes in diversity along these gradients. Here we present the first analysis of bacterial richness along the West Australian boundary current, the Leeuwin Current. Our analysis of bacterial richness along a latitudinal gradient in the eastern Indian Ocean shows support for the productivity mechanism rather than the temperature mechanism. Further, we show that bacterial richness increases towards the productive temperate waters are driven by productive eukaryotes (NO3- based) and heterotrophic N2-fixers.
    Keywords: AWI_BioOce; Biological Oceanography @ AWI
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 2
    Publication Date: 2023-03-16
    Keywords: Ammonium; AWI_BioOce; Biological Oceanography @ AWI; Chlorophyll a; DATE/TIME; DEPTH, water; East Indian Ocean; Event label; Latitude of event; Longitude of event; Nitrate; Nitrate and Nitrite; Nitrite; Nitrogen, total; Nitrogen/Phosphorus ratio; Nitrogen fixation rate; Phosphate; Ratio; Salinity; Southern Surveyor; SS2012T06; SS2012T06-D1; SS2012T06-D10; SS2012T06-D11; SS2012T06-D12; SS2012T06-D13; SS2012T06-D14; SS2012T06-D15; SS2012T06-D16; SS2012T06-D17; SS2012T06-D18; SS2012T06-D19; SS2012T06-D2; SS2012T06-D20; SS2012T06-D21; SS2012T06-D22; SS2012T06-D23; SS2012T06-D24; SS2012T06-D25; SS2012T06-D26; SS2012T06-D27; SS2012T06-D28; SS2012T06-D29; SS2012T06-D3; SS2012T06-D30; SS2012T06-D31; SS2012T06-D32; SS2012T06-D33; SS2012T06-D34; SS2012T06-D35; SS2012T06-D36; SS2012T06-D37; SS2012T06-D38; SS2012T06-D39; SS2012T06-D4; SS2012T06-D40; SS2012T06-D41; SS2012T06-D42; SS2012T06-D43; SS2012T06-D45; SS2012T06-D46; SS2012T06-D47; SS2012T06-D48; SS2012T06-D49; SS2012T06-D5; SS2012T06-D6; SS2012T06-D7; SS2012T06-D8; SS2012T06-D9; Temperature, water; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 549 data points
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  • 3
    Publication Date: 2023-03-16
    Keywords: AWI_BioOce; Bacteria, operational taxonomic unit; Bacterial (16S) richness; Biological Oceanography @ AWI; Carbon fixation rate; Chao 1 richness; Chlorophyll a; DATE/TIME; DEPTH, water; East Indian Ocean; Event label; Latitude of event; Longitude of event; Ratio; Salinity; Sample ID; Southern Surveyor; SS2012T06; SS2012T06-D1; SS2012T06-D14; SS2012T06-D20; SS2012T06-D27; SS2012T06-D3; SS2012T06-D30; SS2012T06-D32; SS2012T06-D34; SS2012T06-D40; SS2012T06-D41; SS2012T06-D45; SS2012T06-D48; SS2012T06-D6; Temperature, water; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 28140 data points
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  • 4
    Publication Date: 2023-03-16
    Keywords: AWI_BioOce; Bacteria, operational taxonomic unit; Bacterial (16S) richness; Biological Oceanography @ AWI; Carbon fixation rate; Chao 1 richness; Chlorophyll a; DATE/TIME; DEPTH, water; East Indian Ocean; Event label; Latitude of event; Longitude of event; Nitrogen, inorganic, dissolved; Ratio; Salinity; Sample ID; Southern Surveyor; SS2012T06; SS2012T06-D1; SS2012T06-D14; SS2012T06-D20; SS2012T06-D27; SS2012T06-D3; SS2012T06-D30; SS2012T06-D32; SS2012T06-D34; SS2012T06-D40; SS2012T06-D41; SS2012T06-D45; SS2012T06-D48; SS2012T06-D6; Temperature, water; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 40809 data points
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  • 5
    Publication Date: 2023-03-16
    Keywords: AWI_BioOce; Bacteria, operational taxonomic unit; Biological Oceanography @ AWI; DATE/TIME; DEPTH, water; East Indian Ocean; Event label; Latitude of event; Longitude of event; Southern Surveyor; SS2012T06; SS2012T06-D1; SS2012T06-D14; SS2012T06-D20; SS2012T06-D27; SS2012T06-D3; SS2012T06-D32; SS2012T06-D34; SS2012T06-D40; SS2012T06-D45; SS2012T06-D48; SS2012T06-D6; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 968 data points
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  • 6
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven | Supplement to: Raes, Eric J; Bodrossy, Levente; Van De Kamp, Jodie; Bissett, Andrew; Ostrowski, Martin; Brown, Mark; Sow, Swan Li San; Sloyan, Bernardette; Waite, Anya M (2018): Oceanographic boundaries constrain microbial diversity gradients in the South Pacific Ocean. Proceedings of the National Academy of Sciences, 201719335, https://doi.org/10.1073/pnas.1719335115
    Publication Date: 2023-03-16
    Description: Marine microbes along with micro eukaryotes are key regulators of oceanic biogeochemical pathways. Here we present a high-resolution (every 0.5° latitude) dataset describing microbial pro- and eukaryotic diversity, in the surface and just below the thermocline, along a 7000km transect from 66° S at the Antarctic ice edge to the equator in the South Pacific Ocean. The transect, conducted in Austral winter, covered key oceanographic features including crossing of the polar front (PF), the subtropical front (STF) and the equatorial upwelling region. Our data indicate that temperature does not determine patterns of marine microbial richness, complementing the global model data from Ladau, et al. (2013). Rather, NH4⁺ nanoplankton and primary productivity were the main drivers for archaeal and bacterial richness. Eukaryote richness was highest in the least productive ocean region, the tropical oligotrophic province. We also observed a novel diversity pattern in the South Pacific Ocean; a regional increase in archaeal and bacterial diversity between 10° S and the equator. Our data showed that the mean latitudinal ranges of archaea and bacteria decreased with latitude, thereby not confirming the Rapoport's rule. We show that permanent oceanographic features, such as the STF and the equatorial upwelling can have a significant influence on pro- and eukaryotic richness.
    Keywords: AWI_BioOce; Biological Oceanography @ AWI
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 7
    Publication Date: 2023-07-17
    Keywords: Ammonia; Archaeal richness; AWI_BioOce; Bacterial richness; Biological Oceanography @ AWI; Chlorophyll a, total; DATE/TIME; DEPTH, water; Diatoms, biomass; Dinoflagellates, biomass; Elevation of event; Eukaryotic richness; Event label; IN2016-V03; IN2016-V03_100; IN2016-V03_101; IN2016-V03_102; IN2016-V03_103; IN2016-V03_104; IN2016-V03_105; IN2016-V03_106; IN2016-V03_107; IN2016-V03_108; IN2016-V03_109; IN2016-V03_11; IN2016-V03_110; IN2016-V03_111; IN2016-V03_113; IN2016-V03_114; IN2016-V03_115; IN2016-V03_116; IN2016-V03_117; IN2016-V03_118; IN2016-V03_119; IN2016-V03_12; IN2016-V03_120; IN2016-V03_121; IN2016-V03_122; IN2016-V03_123; IN2016-V03_124; IN2016-V03_125; IN2016-V03_126; IN2016-V03_127; IN2016-V03_128; IN2016-V03_129; IN2016-V03_13; IN2016-V03_130; IN2016-V03_131; IN2016-V03_132; IN2016-V03_133; IN2016-V03_134; IN2016-V03_135; IN2016-V03_136; IN2016-V03_137; IN2016-V03_138; IN2016-V03_139; IN2016-V03_140; IN2016-V03_15; IN2016-V03_17; IN2016-V03_19; IN2016-V03_2; IN2016-V03_20; IN2016-V03_21; IN2016-V03_22; IN2016-V03_23; IN2016-V03_24; IN2016-V03_25; IN2016-V03_26; IN2016-V03_27; IN2016-V03_28; IN2016-V03_29; IN2016-V03_3; IN2016-V03_30; IN2016-V03_31; IN2016-V03_32; IN2016-V03_33; IN2016-V03_34; IN2016-V03_35; IN2016-V03_36; IN2016-V03_37; IN2016-V03_38; IN2016-V03_39; IN2016-V03_4; IN2016-V03_40; IN2016-V03_41; IN2016-V03_42; IN2016-V03_43; IN2016-V03_44; IN2016-V03_45; IN2016-V03_46; IN2016-V03_47; IN2016-V03_48; IN2016-V03_49; IN2016-V03_5; IN2016-V03_50; IN2016-V03_51; IN2016-V03_52; IN2016-V03_53; IN2016-V03_54; IN2016-V03_55; IN2016-V03_56; IN2016-V03_57; IN2016-V03_58; IN2016-V03_59; IN2016-V03_6; IN2016-V03_60; IN2016-V03_61; IN2016-V03_62; IN2016-V03_64; IN2016-V03_65; IN2016-V03_66; IN2016-V03_67; IN2016-V03_68; IN2016-V03_69; IN2016-V03_70; IN2016-V03_71; IN2016-V03_72; IN2016-V03_73; IN2016-V03_74; IN2016-V03_75; IN2016-V03_76; IN2016-V03_77; IN2016-V03_78; IN2016-V03_79; IN2016-V03_8; IN2016-V03_80; IN2016-V03_81; IN2016-V03_82; IN2016-V03_84; IN2016-V03_85; IN2016-V03_86; IN2016-V03_87; IN2016-V03_88; IN2016-V03_89; IN2016-V03_9; IN2016-V03_90; IN2016-V03_91; IN2016-V03_92; IN2016-V03_93; IN2016-V03_94; IN2016-V03_95; IN2016-V03_96; IN2016-V03_97; IN2016-V03_98; IN2016-V03_99; Investigator (2014); Latitude of event; Longitude of event; Mixed layer depth; Nitrate; Nitrite; Oxygen; Phosphate; Photoperiod, hours of daylight; Primary production; Ratio; Salinity; Sample code/label; Silicate; South Pacific Ocean; Temperature, water; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 2693 data points
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  • 8
    Publication Date: 2023-07-17
    Keywords: Ammonia; Archaeal richness; AWI_BioOce; Bacterial richness; Biological Oceanography @ AWI; Chlorophyll a, total; DATE/TIME; DEPTH, water; Diatoms, biomass; Dinoflagellates, biomass; Elevation of event; Eukaryotic richness; Event label; IN2016-V03; IN2016-V03_100; IN2016-V03_101; IN2016-V03_102; IN2016-V03_103; IN2016-V03_104; IN2016-V03_105; IN2016-V03_106; IN2016-V03_107; IN2016-V03_108; IN2016-V03_109; IN2016-V03_11; IN2016-V03_110; IN2016-V03_111; IN2016-V03_113; IN2016-V03_114; IN2016-V03_115; IN2016-V03_116; IN2016-V03_117; IN2016-V03_118; IN2016-V03_119; IN2016-V03_12; IN2016-V03_120; IN2016-V03_121; IN2016-V03_122; IN2016-V03_123; IN2016-V03_124; IN2016-V03_125; IN2016-V03_126; IN2016-V03_127; IN2016-V03_128; IN2016-V03_129; IN2016-V03_13; IN2016-V03_130; IN2016-V03_131; IN2016-V03_132; IN2016-V03_133; IN2016-V03_134; IN2016-V03_135; IN2016-V03_136; IN2016-V03_137; IN2016-V03_138; IN2016-V03_139; IN2016-V03_140; IN2016-V03_15; IN2016-V03_17; IN2016-V03_19; IN2016-V03_2; IN2016-V03_20; IN2016-V03_21; IN2016-V03_22; IN2016-V03_23; IN2016-V03_24; IN2016-V03_25; IN2016-V03_26; IN2016-V03_27; IN2016-V03_28; IN2016-V03_29; IN2016-V03_3; IN2016-V03_30; IN2016-V03_31; IN2016-V03_32; IN2016-V03_33; IN2016-V03_34; IN2016-V03_35; IN2016-V03_36; IN2016-V03_37; IN2016-V03_38; IN2016-V03_39; IN2016-V03_4; IN2016-V03_40; IN2016-V03_41; IN2016-V03_42; IN2016-V03_43; IN2016-V03_44; IN2016-V03_45; IN2016-V03_46; IN2016-V03_47; IN2016-V03_48; IN2016-V03_49; IN2016-V03_5; IN2016-V03_50; IN2016-V03_51; IN2016-V03_52; IN2016-V03_53; IN2016-V03_54; IN2016-V03_55; IN2016-V03_56; IN2016-V03_57; IN2016-V03_58; IN2016-V03_59; IN2016-V03_6; IN2016-V03_60; IN2016-V03_61; IN2016-V03_62; IN2016-V03_64; IN2016-V03_65; IN2016-V03_66; IN2016-V03_67; IN2016-V03_68; IN2016-V03_69; IN2016-V03_70; IN2016-V03_71; IN2016-V03_72; IN2016-V03_73; IN2016-V03_74; IN2016-V03_75; IN2016-V03_76; IN2016-V03_77; IN2016-V03_78; IN2016-V03_79; IN2016-V03_8; IN2016-V03_80; IN2016-V03_81; IN2016-V03_82; IN2016-V03_84; IN2016-V03_85; IN2016-V03_86; IN2016-V03_87; IN2016-V03_88; IN2016-V03_89; IN2016-V03_9; IN2016-V03_90; IN2016-V03_91; IN2016-V03_92; IN2016-V03_93; IN2016-V03_94; IN2016-V03_95; IN2016-V03_96; IN2016-V03_97; IN2016-V03_98; IN2016-V03_99; Investigator (2014); Latitude of event; Longitude of event; Mixed layer depth; Nitrate; Nitrite; Oxygen; Phosphate; Photoperiod, hours of daylight; Primary production; Ratio; Salinity; Sample code/label; Silicate; South Pacific Ocean; Temperature, water; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 2657 data points
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  • 9
    Publication Date: 2023-11-15
    Keywords: AWI_BioOce; Biological Oceanography @ AWI; DATE/TIME; DEPTH, water; Depth comment; Event label; IN2016-V03; IN2016-V03_118; IN2016-V03_12; IN2016-V03_121; IN2016-V03_124; IN2016-V03_128; IN2016-V03_13; IN2016-V03_131; IN2016-V03_136; IN2016-V03_139; IN2016-V03_140; IN2016-V03_17; IN2016-V03_20; IN2016-V03_21; IN2016-V03_23; IN2016-V03_24; IN2016-V03_26; IN2016-V03_27; IN2016-V03_3; IN2016-V03_30; IN2016-V03_31; IN2016-V03_33; IN2016-V03_34; IN2016-V03_36; IN2016-V03_37; IN2016-V03_38; IN2016-V03_39; IN2016-V03_40; IN2016-V03_43; IN2016-V03_44; IN2016-V03_47; IN2016-V03_50; IN2016-V03_52; IN2016-V03_53; IN2016-V03_56; IN2016-V03_6; IN2016-V03_77; IN2016-V03_8; IN2016-V03_9; Investigator (2014); LATITUDE; LONGITUDE; Nitrate; Nitrification rate; Nitrogen-15, atmospheric, in nitrate; South Pacific Ocean; Water sample; WS; δ15N, nitrate; δ18O, nitrate
    Type: Dataset
    Format: text/tab-separated-values, 612 data points
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  • 10
    Publication Date: 2023-11-15
    Keywords: Ammonium uptake rate; AWI_BioOce; Biological Oceanography @ AWI; DATE/TIME; DEPTH, water; Event label; IN2016-V03; IN2016-V03_102; IN2016-V03_103; IN2016-V03_105; IN2016-V03_106; IN2016-V03_107; IN2016-V03_109; IN2016-V03_110; IN2016-V03_114; IN2016-V03_115; IN2016-V03_118; IN2016-V03_119; IN2016-V03_12; IN2016-V03_121; IN2016-V03_122; IN2016-V03_124; IN2016-V03_125; IN2016-V03_126; IN2016-V03_128; IN2016-V03_129; IN2016-V03_13; IN2016-V03_131; IN2016-V03_132; IN2016-V03_134; IN2016-V03_136; IN2016-V03_139; IN2016-V03_140; IN2016-V03_15; IN2016-V03_17; IN2016-V03_19; IN2016-V03_2; IN2016-V03_20; IN2016-V03_21; IN2016-V03_23; IN2016-V03_24; IN2016-V03_26; IN2016-V03_27; IN2016-V03_29; IN2016-V03_3; IN2016-V03_30; IN2016-V03_31; IN2016-V03_33; IN2016-V03_34; IN2016-V03_36; IN2016-V03_37; IN2016-V03_38; IN2016-V03_39; IN2016-V03_40; IN2016-V03_41; IN2016-V03_43; IN2016-V03_44; IN2016-V03_47; IN2016-V03_49; IN2016-V03_5; IN2016-V03_50; IN2016-V03_52; IN2016-V03_53; IN2016-V03_54; IN2016-V03_56; IN2016-V03_57; IN2016-V03_59; IN2016-V03_6; IN2016-V03_60; IN2016-V03_62; IN2016-V03_64; IN2016-V03_65; IN2016-V03_66; IN2016-V03_67; IN2016-V03_69; IN2016-V03_70; IN2016-V03_71; IN2016-V03_73; IN2016-V03_74; IN2016-V03_76; IN2016-V03_77; IN2016-V03_78; IN2016-V03_8; IN2016-V03_80; IN2016-V03_81; IN2016-V03_84; IN2016-V03_86; IN2016-V03_88; IN2016-V03_89; IN2016-V03_9; IN2016-V03_90; IN2016-V03_92; IN2016-V03_93; IN2016-V03_94; IN2016-V03_95; IN2016-V03_96; IN2016-V03_98; IN2016-V03_99; Investigator (2014); LATITUDE; LONGITUDE; Mixed layer depth; Nitrate uptake rate; South Pacific Ocean; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 270 data points
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