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  • 1
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    Elsevier
    In:  Current Biology, 27 (11). R461-R465.
    Publication Date: 2017-10-04
    Description: The deep ocean encompasses 95% of the oceans’ volume and is the largest and least explored biome of Earth’s Biosphere. New life forms are continuously being discovered. The physiological mechanisms allowing organisms to adapt to extreme conditions of the deep ocean (high pressures, from very low to very high temperatures, food shortage, lack of solar light) are still largely unknown. Some deep-sea species have very long life-spans, whereas others can tolerate toxic compounds at high concentrations; these characteristics offer an opportunity to explore the specialized biochemical and physiological mechanisms associated with these responses. Widespread symbiotic relationships play fundamental roles in driving host functions, nutrition, health, and evolution. Deep-sea organisms communicate and interact through sound emissions, chemical signals and bioluminescence. Several giants of the oceans hunt exclusively at depth, and new studies reveal a tight connection between processes in the shallow water and some deep-sea species. Limited biological knowledge of the deep-sea limits our capacity to predict future response of deep-sea organisms subject to increasing human pressure and changing global environmental conditions. Molecular tools, sensor-tagged animals, in situ and laboratory experiments, and new technologies can enable unprecedented advancement of deep-sea biology, and facilitate the sustainable management of deep ocean use under global change.
    Type: Article , PeerReviewed
    Format: text
    Location Call Number Limitation Availability
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  • 2
  • 3
    Publication Date: 2023-02-24
    Description: Here, for the first time, we have carried out synoptic measurements of viral production and decay rates in continental-shelf and deep-sea sediments of the Mediterranean Sea to explore the viral balance. The net viral production and decay rates were significantly correlated, and were also related to prokaryotic heterotrophic production. The addition of enzymes increased the decay rates in the surface sediments, but not in the subsurface sediments. Both the viral production and the decay rates decreased significantly in the deeper sediment layers, while the virus-to-prokaryote abundance ratio increased, suggesting a high preservation of viruses in the subsurface sediments. Viral decay did not balance viral production at any of the sites investigated, accounting on average for c. 32% of the gross viral production in the marine sediments. We estimate that the carbon (C) released by viral decay contributed 6-23% to the total C released by the viral shunt. Because only ca. 2% of the viruses produced can infect other prokaryotes, the majority is not subjected to direct lysis and potentially remains as a food source for benthic consumers. The results reported here suggest that viral decay can play an important role in biogeochemical cycles and benthic trophodynamics.
    Keywords: E; Gulf of Lions; HERM1_CLD1000-2; HERM1_SOS1000-2; HERM1_SOS450-2; hermes; HERMES; hermione; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Hotspot Ecosystem Research on the Margins of European Seas; M; MUC; MultiCorer; N; Universitatis; Universitatis_Herm1
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2023-07-10
    Keywords: Acantholaimus; Actinonema; Adoncholaimus; Aegialoalaimus; Ammotheristus; Amphimonhystera; Amphimonhystrella; Anoplostoma; Anticoma; Antomicron; Aponema; Bathyeurystomina; BC; Biomass as carbon per individual; Box corer; Campylaimus; Cervonema; Cheironchus; Choanolaimus; Chromadora; Chromadorita; Comesa; Comesoma; Comment; Counting; CTRL11; CTRL7; Cyartonema; Cylicolaimus; Daptonema; Dasynemoides; Demonema; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Desmodora; Desmodorella; Desmolorenzenia; Desmoscolex; Dichromadora; Didelta; Diplolaimella; Diplopeltula; Disconema; Dolicholaimus; Doliolaimus; Draconema; Elevation of event; Elzalia; Endeolophos; Enoploides; Enoplolaimus; Event label; Filitonchus; Filoncholaimus; Gammanema; Gerlachius; Gnomoxyala; Graphonema; Greeffiella; Habitat; Halalaimus; Halichoanolaimus; hermes; HERMES; hermione; HERMIONE; Hopperia; Hotspot Ecosystem Research and Mans Impact On European Seas; Hotspot Ecosystem Research on the Margins of European Seas; Innocuonema; Karkinochromadora; Latitude of event; Latronema; Leptolaimoides; Leptolaimus; Linhystera; Litinium; Longicyatholaimus; Longitude of event; Mediterranean Sea; Megadesmolaimus; Meiofauna, abundance; Meiofauna, biomass as carbon; Meiofauna, biomass as carbon, standard deviation; Mesacanthion; Metacomesoma; Metacyatholaimus; Metadasynemoides; Metadesmolaimus; Metalinhomoeus; Metasphaerolaimus; Metoncholaimus; Microlaimus; Minolaimus; Molgolaimus; Monhystera; MV02; MV03; MV04; MV05; MV06; Nannolaimoides; Nematoda; Odontophora; Oncholaimellus; Oxystomina; Pandolaimus; Paracanthonchus; Paracyatholaimoides; Parallelocoilas; Paralongicyatholaimus; Paramesacanthion; Paramonohystera; Parapinnanema; Parasphaerolaimus; Pareudesmoscolex; Perspiria; Pierrickia; Platycoma; Pomponema; Praeacanthonchus; Prochromadorella; Pselionema; Pseudochromadora; Pseudolella; Pterygonema; Quadricoma; Rhabdodemania; Rhips; Richtersia; Sabatieria; Setosabatieria; Southerniella; Sphaerolaimus; Spilophorella; Spirinia; Standard deviation; Stylotheristus; Subsphaerolaimus; Synonchiella; Synonchium; Synonchus; Syringolaimus; Tarvaia; Terschellingia; Thalassoalaimus; Theristus; Tricoma; Vasostoma; Viscosia; Wieseria
    Type: Dataset
    Format: text/tab-separated-values, 5089 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2023-07-05
    Keywords: Bacteria, abundance; Bacteria, abundance, standard deviation; Bacterial biomass production (Fry 1988, Methods in Aquatic Bacteriology); Bacterial biomass production of carbon; Bacterial biomass production of carbon, standard deviation; DEPTH, sediment/rock; E; Epifluorescence microscopy (Danovaro et al. 2002); Gulf of Lions; HERM1_CLD1000-2; hermes; HERMES; hermione; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Universitatis; Universitatis_Herm1; Virus, standard deviation; Virus abundance (Danovaro et al. 2001); Virus production; Virus production, standard deviation; Virus production (DellAnno et al. 2009)
    Type: Dataset
    Format: text/tab-separated-values, 7 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2023-07-05
    Keywords: Bacteria, abundance; Bacteria, abundance, standard deviation; Bacterial biomass production (Fry 1988, Methods in Aquatic Bacteriology); Bacterial biomass production of carbon; Bacterial biomass production of carbon, standard deviation; DEPTH, sediment/rock; Epifluorescence microscopy (Danovaro et al. 2002); Gulf of Lions; HERM1_SOS1000-2; hermes; HERMES; hermione; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; N; Universitatis; Universitatis_Herm1; Viral abundance; Virus, standard deviation; Virus abundance (Danovaro et al. 2001); Virus production; Virus production, standard deviation; Virus production (DellAnno et al. 2009)
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2023-07-05
    Keywords: Bacteria, abundance; Bacteria, abundance, standard deviation; Bacterial biomass production (Fry 1988, Methods in Aquatic Bacteriology); Bacterial biomass production of carbon; Bacterial biomass production of carbon, standard deviation; DEPTH, sediment/rock; Epifluorescence microscopy (Danovaro et al. 2002); Gulf of Lions; HERM1_SOS450-2; hermes; HERMES; hermione; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Hotspot Ecosystem Research on the Margins of European Seas; M; MUC; MultiCorer; Universitatis; Universitatis_Herm1; Viral abundance; Virus, standard deviation; Virus abundance (Danovaro et al. 2001); Virus production; Virus production, standard deviation; Virus production (DellAnno et al. 2009)
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Limitation Availability
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