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  • 1
    Digitale Medien
    Digitale Medien
    Weinheim : Wiley-Blackwell
    Berichte der deutschen chemischen Gesellschaft 126 (1993), S. 1355-1359 
    ISSN: 0009-2940
    Schlagwort(e): Disulfanes ; Trisulfanes ; Bond conformations, S—S ; Chemistry ; Inorganic Chemistry
    Quelle: Wiley InterScience Backfile Collection 1832-2000
    Thema: Chemie und Pharmazie
    Notizen: Properties of Chalcogen-Chalcogen Bonds, XVII[1]. - Di-and Trisulfanes with Sterically Congested Alkyl Substituents: The First trans1-DialkyldisulfaneBis[tris(trimethylsilyl)methyl]trisulfane (1) is obtained from tris(trimethylsilyl)methyllithium and sulfur with subsequent oxidation by oxygen or from tris(trimethylsily)methanethiol with sulfur dichloride. The solid trisulfane contains a transoid (helical) C—S-S—S-C backbone without severe distortion from steric strain. Desulfuration of the byproduct bis[tris(trimethylsilyl)methyl]tetrasulfane (2) with mercury provides 1, but further desulfuration of 1 to bis[tris(trimethylsilyl)1-methyl]disulfane (3) has not been achieved. 3 was isolated after oxidation of lithium tris(trimethylsilyl)methanethiolate with bromine. 3 contains a trans1-C—S-S—C moiety with an unusually long S—S bond (210-211 pm). The less crowded bis(triphenylmethyl)disulfane (4) contains a “normal” C—S-S—C moiety with anticlinal conformation (torsion angle - 110°).
    Zusätzliches Material: 3 Ill.
    Materialart: Digitale Medien
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    Publikationsdatum: 2021-01-26
    Beschreibung: The diversity of life in the sea is critical to the health of ocean ecosystems that support living resources and therefore essential to the economic, nutritional, recreational, and health needs of billions of people. Yet there is evidence that the biodiversity of many marine habitats is being altered in response to a changing climate and human activity. Understanding this change, and forecasting where changes are likely to occur, requires monitoring of organism diversity, distribution, abundance, and health. It requires a minimum of measurements including productivity and ecosystem function, species composition, allelic diversity, and genetic expression. These observations need to be complemented with metrics of environmental change and socio-economic drivers. However, existing global ocean observing infrastructure and programs often do not explicitly consider observations of marine biodiversity and associated processes. Much effort has focused on physical, chemical and some biogeochemical measurements. Broad partnerships, shared approaches, and best practices are now being organized to implement an integrated observing system that serves information to resource managers and decision-makers, scientists and educators, from local to global scales. This integrated observing system of ocean life is now possible due to recent developments among satellite, airborne, and in situ sensors in conjunction with increases in information system capability and capacity, along with an improved understanding of marine processes represented in new physical, biogeochemical, and biological models.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    Publikationsdatum: 2022-10-31
    Beschreibung: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in O’Brien, J., McParland, E. L., Bramucci, A. R., Ostrowski, M., Siboni, N., Ingleton, T., Brown, M. V., Levine, N. M., Laverock, B., Petrou, K., & Seymour, J. The microbiological drivers of temporally dynamic Dimethylsulfoniopropionate cycling processes in Australian coastal shelf waters. Frontiers in Microbiology, 13, (2022): 894026, https://doi.org/10.3389/fmicb.2022.894026.
    Beschreibung: The organic sulfur compounds dimethylsulfoniopropionate (DMSP) and dimethyl sulfoxide (DMSO) play major roles in the marine microbial food web and have substantial climatic importance as sources and sinks of dimethyl sulfide (DMS). Seasonal shifts in the abundance and diversity of the phytoplankton and bacteria that cycle DMSP are likely to impact marine DMS (O) (P) concentrations, but the dynamic nature of these microbial interactions is still poorly resolved. Here, we examined the relationships between microbial community dynamics with DMS (O) (P) concentrations during a 2-year oceanographic time series conducted on the east Australian coast. Heterogenous temporal patterns were apparent in chlorophyll a (chl a) and DMSP concentrations, but the relationship between these parameters varied over time, suggesting the phytoplankton and bacterial community composition were affecting the net DMSP concentrations through differential DMSP production and degradation. Significant increases in DMSP were regularly measured in spring blooms dominated by predicted high DMSP-producing lineages of phytoplankton (Heterocapsa, Prorocentrum, Alexandrium, and Micromonas), while spring blooms that were dominated by predicted low DMSP-producing phytoplankton (Thalassiosira) demonstrated negligible increases in DMSP concentrations. During elevated DMSP concentrations, a significant increase in the relative abundance of the key copiotrophic bacterial lineage Rhodobacterales was accompanied by a three-fold increase in the gene, encoding the first step of DMSP demethylation (dmdA). Significant temporal shifts in DMS concentrations were measured and were significantly correlated with both fractions (0.2–2 μm and 〉2 μm) of microbial DMSP lyase activity. Seasonal increases of the bacterial DMSP biosynthesis gene (dsyB) and the bacterial DMS oxidation gene (tmm) occurred during the spring-summer and coincided with peaks in DMSP and DMSO concentration, respectively. These findings, along with significant positive relationships between dsyB gene abundance and DMSP, and tmm gene abundance with DMSO, reinforce the significant role planktonic bacteria play in producing DMSP and DMSO in ocean surface waters. Our results highlight the highly dynamic nature and myriad of microbial interactions that govern sulfur cycling in coastal shelf waters and further underpin the importance of microbial ecology in mediating important marine biogeochemical processes.
    Beschreibung: This research was supported by the Australian Research Council Grants FT130100218 and DP180100838 awarded to JS and DP140101045 awarded to JS and KP, as well as an Australian Government Research Training Program Scholarship awarded to JO’B.
    Schlagwort(e): DMSP ; DMS ; DLA ; Phytoplankton ; Bacteria ; qPCR ; 16S rRNA gene ; 18S rRNA gene
    Repository-Name: Woods Hole Open Access Server
    Materialart: Article
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 4
    Publikationsdatum: 2022-10-18
    Beschreibung: © The Author(s), 2015. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in GigaScience 4 (2015): 27, doi:10.1186/s13742-015-0066-5.
    Beschreibung: Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world’s oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and their embedded functional traits.
    Beschreibung: This work was supported by the Micro B3 project, which is funded from the European Union’s Seventh Framework Programme (FP7; Joint Call OCEAN.2011‐2: Marine microbial diversity – new insights into marine ecosystems functioning and its biotechnological potential) under the grant agreement no 287589.
    Schlagwort(e): Ocean sampling day ; OSD ; Biodiversity ; Genomics ; Health index ; Bacteria ; Microorganism ; Metagenomics ; Marine ; Micro B3 ; Standards
    Repository-Name: Woods Hole Open Access Server
    Materialart: Article
    Format: application/pdf
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 5
    Publikationsdatum: 2019-09-23
    Beschreibung: Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world’s oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and their embedded functional traits.
    Materialart: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Format: text
    Format: text
    Format: text
    Format: text
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 6
    Publikationsdatum: 2022-01-31
    Beschreibung: The diversity of life in the sea is critical to the health of ocean ecosystems that support living resources and therefore essential to the economic, nutritional, recreational, and health needs of billions of people. Yet there is evidence that the biodiversity of many marine habitats is being altered in response to a changing climate and human activity. Understanding this change, and forecasting where changes are likely to occur, requires monitoring of organism diversity, distribution, abundance, and health. It requires a minimum of measurements including productivity and ecosystem function, species composition, allelic diversity, and genetic expression. These observations need to be complemented with metrics of environmental change and socio-economic drivers. However, existing global ocean observing infrastructure and programs often do not explicitly consider observations of marine biodiversity and associated processes. Much effort has focused on physical, chemical and some biogeochemical measurements. Broad partnerships, shared approaches, and best practices are now being organized to implement an integrated observing system that serves information to resource managers and decision-makers, scientists and educators, from local to global scales. This integrated observing system of ocean life is now possible due to recent developments among satellite, airborne, and in situ sensors in conjunction with increases in information system capability and capacity, along with an improved understanding of marine processes represented in new physical, biogeochemical, and biological models.
    Materialart: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 7
    facet.materialart.
    Unbekannt
    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
    Publikationsdatum: 2023-03-16
    Beschreibung: 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.
    Schlagwort(e): AWI_BioOce; Biological Oceanography @ AWI
    Materialart: Dataset
    Format: application/zip, 2 datasets
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 8
    Publikationsdatum: 2023-07-17
    Schlagwort(e): 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
    Materialart: Dataset
    Format: text/tab-separated-values, 2693 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 9
    Publikationsdatum: 2023-07-17
    Schlagwort(e): 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
    Materialart: Dataset
    Format: text/tab-separated-values, 2657 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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