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  • Ammonium; Analytical method; Bacteria, heterotrophic; Bacteria, heterotrophic, standard deviation; Bacteria, heterotrophic with relatively high DNA content; Bacteria, heterotrophic with relatively low DNA content; Bacterial mortality, virus-mediated; Burst size; Carbon, organic, dissolved; Chlorophyll a; Comment; Cyanobacteria; DATE/TIME; Day; DEPTH, water; determined following Noble & Fuhrman, 1997; ELEVATION; Flagellates; Flagellates, heterotrophic; Flagellates, phototrophic; LATITUDE; Light intensity; LONGITUDE; Lysed cells; Lysogenic infection frequency; Lytic infection frequency; Month; Nitrate; Nitrate and Nitrite; Nitrite; Nitrogen, inorganic, dissolved; Number; Ocean; Oxygen; Oxygen, dissolved; pH; Phosphate; Picoeukaryotes; Prochlorococcus; Prokaryotes; Prokaryotes, production; Prokaryotes, production as carbon; Prokaryotes, standard deviation; Reference/source; Salinity; Silicate, reactive; Station label; Synechococcus; Temperature, water; Turbidity (Formazin Turbidity Unit); Turnover time; viral abundance; Viral abundance; viral productivity; Virus, high DNA fluorescence; Virus, low DNA fluorescence; Virus, standard deviation; Virus decay; Viruses/prokaryotes ratio; Viruses/prokaryotes ratio, standard deviation; Virus production; Years  (1)
  • Chemoautotrophy  (1)
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    Towards a better understanding of microbial carbon flux in the sea (2011)
    Inter-Research
    Details
    Publikationsdatum: 2022-05-25
    Beschreibung: Author Posting. © Inter-Research, 2008. This article is posted here by permission of Inter-Research for personal use, not for redistribution. The definitive version was published in Aquatic Microbial Ecology 53 (2008): 21-38, doi:10.3354/ame01230.
    Beschreibung: We now have a relatively good idea of how bulk microbial processes shape the cycling of organic matter and nutrients in the sea. The advent of the molecular biology era in microbial ecology has resulted in advanced knowledge about the diversity of marine microorganisms, suggesting that we might have reached a high level of understanding of carbon fluxes in the oceans. However, it is becoming increasingly clear that there are large gaps in the understanding of the role of bacteria in regulating carbon fluxes. These gaps may result from methodological as well as conceptual limitations. For example, should bacterial production be measured in the light? Can bacterial production conversion factors be predicted, and how are they affected by loss of tracers through respiration? Is it true that respiration is relatively constant compared to production? How can accurate measures of bacterial growth efficiency be obtained? In this paper, we discuss whether such questions could (or should) be addressed. Ongoing genome analyses are rapidly widening our understanding of possible metabolic pathways and cellular adaptations used by marine bacteria in their quest for resources and struggle for survival (e.g. utilization of light, acquisition of nutrients, predator avoidance, etc.). Further, analyses of the identity of bacteria using molecular markers (e.g. subgroups of Bacteria and Archaea) combined with activity tracers might bring knowledge to a higher level. Since bacterial growth (and thereby consumption of DOC and inorganic nutrients) is likely regulated differently in different bacteria, it will be critical to learn about the life strategies of the key bacterial species to achieve a comprehensive understanding of bacterial regulation of C fluxes. Finally, some processes known to occur in the microbial food web are hardly ever characterized and are not represented in current food web models. We discuss these issues and offer specific comments and advice for future research agendas.
    Beschreibung: Our work was supported by the following grants: NSF grant 0217282 (H.D.), Spanish MEC grant MODIVUS (J.M.G.), the Swedish Science Council (J.P.), the IEO time-series RADIALES programme (X.A.G.M.), the Earth and Life Science Division of the Dutch Science Foundation, ARCHIMEDES project, #835.20.023 (G.J.H.).
    Schlagwort(e): Carbon flux ; Microbial ecology ; Ocean ; Bacteria ; Protists ; Light ; Genomics ; Chemoautotrophy ; Models
    Repository-Name: Woods Hole Open Access Server
    Materialart: Article
    Format: application/pdf
    Standort Signatur Erwartet Verfügbarkeit
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    ARTIKEL (OA)
  • 2
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    A global viral oceanography database (gVOD) from 1987 to 2018 (2020)
    PANGAEA
    Details
    Publikationsdatum: 2023-07-09
    Beschreibung: Virioplankton is a key component of marine biosphere in maintaining diversity of microorganisms and stabilizing ecosystems. They also greatly contribute to nutrient recycles by releasing organic matter after lysis of hosts. We constructed the global viral oceanography database (gVOD) by collecting 10,931 viral abundance (VA) data and 727 viral production (VP) data, along with host and other oceanographic parameters when available. We expect that the gVOD will be a fundamental and very useful database for laboratory, field and modeling studies in marine ecology and biogeochemistry.
    Schlagwort(e): Ammonium; Analytical method; Bacteria, heterotrophic; Bacteria, heterotrophic, standard deviation; Bacteria, heterotrophic with relatively high DNA content; Bacteria, heterotrophic with relatively low DNA content; Bacterial mortality, virus-mediated; Burst size; Carbon, organic, dissolved; Chlorophyll a; Comment; Cyanobacteria; DATE/TIME; Day; DEPTH, water; determined following Noble & Fuhrman, 1997; ELEVATION; Flagellates; Flagellates, heterotrophic; Flagellates, phototrophic; LATITUDE; Light intensity; LONGITUDE; Lysed cells; Lysogenic infection frequency; Lytic infection frequency; Month; Nitrate; Nitrate and Nitrite; Nitrite; Nitrogen, inorganic, dissolved; Number; Ocean; Oxygen; Oxygen, dissolved; pH; Phosphate; Picoeukaryotes; Prochlorococcus; Prokaryotes; Prokaryotes, production; Prokaryotes, production as carbon; Prokaryotes, standard deviation; Reference/source; Salinity; Silicate, reactive; Station label; Synechococcus; Temperature, water; Turbidity (Formazin Turbidity Unit); Turnover time; viral abundance; Viral abundance; viral productivity; Virus, high DNA fluorescence; Virus, low DNA fluorescence; Virus, standard deviation; Virus decay; Viruses/prokaryotes ratio; Viruses/prokaryotes ratio, standard deviation; Virus production; Years
    Materialart: Dataset
    Format: text/tab-separated-values, 180806 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
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