ALBERT — All Library Books, journals and Electronic Records Telegrafenberg

1

Electronic Resource

Benthic flagellates and ciliates in fine freshwater sediments: Calibration of a live counting procedure and estimation of their abundances (1993)

Gasol, Josep M.

Springer

Microbial ecology 25 (1993), S. 247-262

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ISSN: 1432-184X

Source: Springer Online Journal Archives 1860-2000

Topics: Biology

Notes: Abstract Despite the recognized importance of protozoans (flagellates and ciliates) as predators of bacteria, there are very few estimates of their abundance in fine sediments of freshwater lakes. This is due, in part, to the lack of a standard methodology. Because of the low concentration of protists in relation to particles, epifluorescence counts can not always be used. Instead, dilution followed by live counting was used to solve the masking by sediment particles. One to twenty μ1 sample aliquots were diluted with filtered lake water in a Palmer-Maloney counting slide. Four to eight replicates were sufficient to minimize the counting error, while minimizing effort. The method is highly replicable and could potentially be calibrated for different sediment types because sediment masking depends on the mean particle size of the sediment. When this method was applied in a survey of benthic sites in Quebec lakes, flagellate abundances were found to range from 100 to 180,000 cells ml−1, while ciliate numbers ranged from 26 to 11,000 cells ml−1. Bacteria are 105 to 107 times more abundant than protists and, thus, the impact of these protists on sediment bacterial dynamics is likely to be minimal.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF00171891

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2

Electronic Resource

The microbial food web along salinity gradients (2000)

Pedrós-Alió, Carlos ; Calderón-Paz, Juan I ; MacLean, Marlie H ; [et al.]

Oxford, UK : Blackwell Publishing Ltd

FEMS microbiology ecology 32 (2000), S. 0

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ISSN: 1574-6941

Source: Blackwell Publishing Journal Backfiles 1879-2005

Topics: Biology

Notes: The microbial food web was studied along a gradient of salinity in two solar salterns used for the commercial production of salt. The different ponds in the salterns provide a wide range of ecosystems with food webs of different complexities. Abundance of prokaryotes, cell volume, prokaryotic heterotrophic production, chlorophyll a, abundance of heterotrophic flagellates, ciliates and phytoplankton were determined in several ponds in each saltern. Increases in salinity resulted in a progressive reduction in the abundance and number of different groups of eukaryotic microorganisms present, but an increase in biomass of prokaryotes. Maximal activity of both phyto- and bacterioplankton was found at a salinity of around 100‰, where there was also a maximum in chlorophyll a concentration. Growth rates of heterotrophic prokaryotes decreased with increasing salinity. Bacterivory disappeared above 250‰ salinity, whereas other loss factors such as viral lysis appeared to be of minor importance throughout the gradient [Guixa-Boixereu et al. (1996) Aquat. Microb. Ecol. 11, 215–227].

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1111/j.1574-6941.2000.tb00708.x

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3

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Comparative analysis shows that bacterivory, not viral lysis, controls the abundance of heterotrophic prokaryotic plankton (2000)

Pedrós-Alió, Carlos ; Calderón-Paz, Juan I ; Gasol, Josep M

Oxford, UK : Blackwell Publishing Ltd

FEMS microbiology ecology 32 (2000), S. 0

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ISSN: 1574-6941

Source: Blackwell Publishing Journal Backfiles 1879-2005

Topics: Biology

Notes: Empirical models derived from literature data were used to compare the factors controlling prokaryotic abundance (PN) and prokaryotic heterotrophic production (PHP) in solar salterns. These empirical relationships were generated as multiple linear regressions with PN or PHP as dependent variables, while the independent variables were chosen to reflect the likely sources of organic matter, inorganic nutrients and temperature. These variables were then measured in solar salterns and the predictions made by the general relationships were compared to actual saltern values of PN and PHP. Saltern ponds of salinity higher than 100‰ departed significantly from the general relationships, while the ponds of salinity lower than 100‰ fitted well within the range of values predicted by the general models. The most likely explanation for the discrepancy of the former was the absence of bacterivory. This hypothesis was tested with data from other very different aquatic systems: karstic lakes with anaerobic hypolimnia and two marine areas in the Mediterranean and the Southern Ocean. The anoxic regions of karstic lakes departed significantly from the predictions of the general model, while the oxic layers conformed to the predictions. As in the case of salterns, this difference could be explained by the presence of significant predation in the oxic, but not in the anoxic, layers of these lakes. Finally, two marine areas with similar predation pressure on prokaryotes but very different impacts of viral lysis were tested. In all cases, PN values conformed to the predictions, suggesting that lysis due to viruses is not the main factor controlling PN in aquatic systems, which is more likely to be determined by the balance between bacterivory and resource supply. The present work also demonstrates the usefulness of empirical comparative analyses to generate predictions and to draw inferences on the functioning of microbial communities.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1111/j.1574-6941.2000.tb00709.x

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4

Electronic Resource

Comparative analyses in aquatic microbial ecology: how far do they go? (2000)

Gasol, Josep M. ; Duarte, Carlos M.

Oxford, UK : Blackwell Publishing Ltd

FEMS microbiology ecology 31 (2000), S. 0

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ISSN: 1574-6941

Source: Blackwell Publishing Journal Backfiles 1879-2005

Topics: Biology

Notes: Methodological developments in recent years have led to an increase in empirical databases on the abundance and functions of aquatic microbes, now allowing synthesis studies. Most of these studies have adopted a comparative approach, such that comparative analyses are now available for most aspects of aquatic microbial food webs (more than 50 papers published in the last 15 years). Some of these analyses apparently yield conflicting results, introducing confusion and unnecessary disputes in the field. We briefly review the comparative analyses so far produced and we highlight generalities, show that some of the perceived discrepancies largely derive from partial analyses of a general underlying trend and formulate predictions based on these general trends that provide new avenues for research.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1111/j.1574-6941.2000.tb00675.x

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5

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On-board flow cytometric observation of picoplankton community structure in the East China Sea during the fall of different years (2005)

Pan, L.A. ; Zhang, L.H. ; Zhang, J. ; [et al.]

Oxford, UK : Blackwell Publishing Ltd

FEMS microbiology ecology 52 (2005), S. 0

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ISSN: 1574-6941

Source: Blackwell Publishing Journal Backfiles 1879-2005

Topics: Biology

Notes: On-board flow cytometric determinations of picoplankton abundance (i.e. Synechococcus spp., Prochlorococcus spp., picoeukaryotes and also heterotrophic bacteria) were obtained in the East China Sea in fall of 2000 and 2003. The average abundances of Synechococcus, Prochlorococcus, picoeukaryotes and heterotrophic bacteria were 105, 105, 104 and 106 cells ml−1, respectively. Synechococcus, picoeukaryotes and heterotrophic bacteria were abundant at all the stations and presented higher concentration in the inner shelf where influences from the Changjiang effluent plumes and the coastal upwelling were evident, while Prochlorococcus was absent from the near-shore stations and became the dominant picophytoplankton population in offshore waters, where its abundance was comparable to that for heterotrophic bacteria. All picoplankton groups showed a reduction in cell number with depth, and a positive correlation with water temperature were observed, which reflected the importance of light and temperature on picoplankton growth. A negative relationship with salinity was found for heterotrophic bacteria along two sections across the East China Sea Shelf, and distribution of picoplankton was dominated by different water masses. The fixation could lead to loss in Prochlorococcus cell numbers within one month, and all the picoplankton numbers decreased dramatically after three months.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1016/j.femsec.2004.11.019

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6

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Diversity of planktonic photoautotrophic microorganisms along a salinity gradient as depicted by microscopy, flow cytometry, pigment analysis and DNA-based methods (2004)

Estrada, Marta ; Henriksen, Peter ; Gasol, Josep M. ; [et al.]

Oxford, UK : Blackwell Publishing Ltd

FEMS microbiology ecology 49 (2004), S. 0

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ISSN: 1574-6941

Source: Blackwell Publishing Journal Backfiles 1879-2005

Topics: Biology

Notes: The diversity of prokaryotic and eukaryotic phytoplankton was studied along a gradient of salinity in the solar salterns of Bras del Port in Santa Pola (Alacant, Spain) using different community descriptors. Chlorophyll a, HPLC pigment composition, flow cytometrically-determined picoplankton concentration, taxonomic composition of phytoplankton (based on optical microscopy) and genetic fingerprint patterns of 16S (cyanobacteria- and chloroplast-specific primers) and 18S rRNA genes were determined for samples from ponds with salinities ranging from 4% to 37%. Both morphological and genetical descriptors of taxonomic composition showed a good agreement and indicated a major discontinuity at salinities between 15% and 22%. The number of classes and the Shannon diversity index corresponding to the different descriptors showed a consistent decreasing trend with increasing salinity. The results indicate a selective effect of extremely high salinities on phytoplanktonic assemblages.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1016/j.femsec.2004.04.002

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7

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Diel changes in the microstratification of the metalimnetic community in Lake Cisó (1991)

Gasol, Josep M. ; García-Cantizano, Josefina ; Massana, Ramon ; [et al.]

Springer

Hydrobiologia 211 (1991), S. 227-240

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ISSN: 1573-5117

Keywords: Diel cycle ; vertical migration ; Cryptomonas phaseolus ; anaerobic ciliates ; fine sampling ; stratification

Source: Springer Online Journal Archives 1860-2000

Topics: Biology

Notes: Abstract The microstratification of the metalimnetic community in Lake Cisó was followed through the diel cycle by means of a fine sampler with syringes spaced at 3 cm intervals. Populations were sharply stratified. The uppermost part of the metalimnion was occupied by the rotifer Anuraeopsis fissa. Next, layers of the ciliate Coleps hirtus and the flagellate Cryptomonas phaseolus were found. Finally, purple sulfur bacteria appeared at the bottom part of the metalimnion. Although in lower abundances, characteristic populations of ciliates were found at each depth: Strombidium inhabited zones with oxygen, while Plagiopyla and Metopus lived at depths with sulfide. Several members of the community moved vertically about 20 cm during the diel cycle. Cryptomonas performed larger vertical migrations of 40 cm. This organism concentrated at the upper metalimnion during the day, and dispersed through the lower metalimnion during the night. At night, Cryptomonas lived in an environment without oxygen and with sulfide concentrations up to 0.6 mM.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF00008536

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8

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Partial gene catalog of deep samples (4000m) from a Global Metagenomics Expedition (Malaspina 2010) (2017)

Gonzales-Acinas, Silvia ; Sánchez, Pablo ; Salazar, Guillem ; [et al.]

PANGAEA

In: Supplement to: Bergauer, Kristin; Fernandez-Guerra, Antonio; Garcia, Juan A L; Sprenger, Antoinette; Stepanauskas, Ramunas; Pachiadaki, Maria G; Jensen, Ole N; Herndl, Gerhard J (2018): Organic matter processing by microbial communities throughout the Atlantic water column as revealed by metaproteomics. Proceedings of the National Academy of Sciences, 115(3), E400-E408, https://doi.org/10.1073/pnas.1708779115

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Publication Date: 2023-01-13

Description: The phylogenetic composition of the heterotrophic microbial community is depth stratified in the oceanic water column down to abyssopelagic layers. In the layers below the euphotic zone, it has been suggested that heterotrophic microbes rely largely on solubilized particulate organic matter as a carbon and energy source rather than on dissolved organic matter. To decipher whether changes in the phylogenetic composition with depth are reflected in changes in the bacterial and archaeal transporter proteins, we generated an extensive metaproteomic and metagenomic dataset of microbial communities collected from 100- to 5,000-m depth in the Atlantic Ocean.

Keywords: MALASPINA-2010; Malaspina circumnavigation expedition

Type: Dataset

Format: application/zip, 73.6 kBytes

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DATA PANGAEA

S·F·X

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Plankton community metabolism in the subtropical and tropical ocean, Malaspina 2010 Expedition (2017)

García-Corral, Lara S ; Holding, Johnna ; Carrillo-de-Albornoz, Paloma ; [et al.]

PANGAEA

In: Supplement to: García-Corral, Lara S; Holding, Johnna; Carrillo-de-Albornoz, Paloma; Steckbauer, Alexandra; Pérez-Lorenzo, Maria; Navarro, Nuria; Serret, Pablo; Gasol, Josep M; Morán, Xosé Anxelu G; Estrada, Marta; Fraile-Nuez, Eugenio; Benítez-Barrios, Verónica M; Agustí, Susana; Duarte, Carlos Manuel (2017): Temperature dependence of plankton community metabolism in the subtropical and tropical ocean. Global Biogeochemical Cycles, 31(7), 1141-1154, https://doi.org/10.1002/2017GB005629

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Publication Date: 2023-07-05

Description: Here we assess the temperature dependence of the metabolic rates (gross primary production - GPP, community respiration - CR and the ratio GPP/CR) of oceanic plankton communities. We compile data from 133 stations of the Malaspina 2010 Expedition, distributed among the subtropical and tropical Atlantic, Pacific and Indian oceans. We used the in vitro technique to measured metabolic rates during 24 h incubations at three different sampled depths: surface, 20% and 1% of the photosynthetically active radiation measured at surface. We also measured the % of ultraviolet B radiation (UVB) penetrating at surface waters. GPP and CR rates increased with warming, albeit different responses were observed for each sampled depth. The overall GPP/CR ratio declined with warming. Higher activation energies (Ea's) were derived for both processes (GPPChla = 0.97; CRChla = 1.26; CRHPA= 0.95 eV) compared to those previously reported. The Indian Ocean showed the highest Ea (GPPChla = 1.70; CRChla = 1.48; CRHPA= 0.57 eV), while the Atlantic Ocean showed the lowest (GPPChla = 0.86; CRChla = 0.77; CRHPA= -0.13 eV). We believe that the difference between previous assessments and the ones presented here can be explained by the overrepresentation of Atlantic communities in the previous data sets. We found that UVB radiation also affects the temperature dependence of surface GPP, which decreased rather than increased under high levels of UVB. Ocean warming, which causes stratification and oligotrophication of the subtropical and tropical oceans, may lead to reduced surface GPP as a result of increased penetration of UVB radiation.

Keywords: 29HE20101215; 29HE20110117; 29HE20110211; 29HE20110317; 29HE20110416; 29HE20110513; 29HE20110619; Bio-Rosette; BRO; Canarias Sea; Caribbean Sea; Chlorophyll a; DATE/TIME; DEPTH, water; Depth comment; Event label; Gross primary production/Respiration rate ratio; Gross primary production of oxygen; Gross primary production of oxygen, standard error; Hespérides; Indian Ocean; LATITUDE; LONGITUDE; MALASPINA_LEG1; MALASPINA_LEG1_003-2; MALASPINA_LEG1_006-2; MALASPINA_LEG1_007-2; MALASPINA_LEG1_008-2; MALASPINA_LEG1_009-2; MALASPINA_LEG1_010-2; MALASPINA_LEG1_011-2; MALASPINA_LEG1_012-2; MALASPINA_LEG1_013-2; MALASPINA_LEG1_014-2; MALASPINA_LEG1_015-2; MALASPINA_LEG1_016-2; MALASPINA_LEG1_017-2; MALASPINA_LEG1_018-2; MALASPINA_LEG1_019-2; MALASPINA_LEG1_020-2; MALASPINA_LEG1_021-2; MALASPINA_LEG1_022-2; MALASPINA_LEG1_023-2; MALASPINA_LEG1_024-2; MALASPINA_LEG1_025-2; MALASPINA_LEG2; MALASPINA_LEG2_027-2; MALASPINA_LEG2_028-2; MALASPINA_LEG2_029-2; MALASPINA_LEG2_030-2; MALASPINA_LEG2_031-2; MALASPINA_LEG2_032-2; MALASPINA_LEG2_033-2; MALASPINA_LEG2_034-2; MALASPINA_LEG2_035-2; MALASPINA_LEG2_037-2; MALASPINA_LEG2_038-2; MALASPINA_LEG2_040-2; MALASPINA_LEG2_041-2; MALASPINA_LEG2_042-2; MALASPINA_LEG2_043-2; MALASPINA_LEG2_044-2; MALASPINA_LEG3; MALASPINA_LEG3_045-2; MALASPINA_LEG3_046-2; MALASPINA_LEG3_047-2; MALASPINA_LEG3_048-2; MALASPINA_LEG3_049-2; MALASPINA_LEG3_050-2; MALASPINA_LEG3_051-2; MALASPINA_LEG3_052-2; MALASPINA_LEG3_053-2; MALASPINA_LEG3_054-2; MALASPINA_LEG3_055-2; MALASPINA_LEG3_056-2; MALASPINA_LEG3_057-2; MALASPINA_LEG3_058-2; MALASPINA_LEG3_059-2; MALASPINA_LEG3_060-2; MALASPINA_LEG3_061-2; MALASPINA_LEG3_062-2; MALASPINA_LEG3_063-2; MALASPINA_LEG3_064-2; MALASPINA_LEG3_065-2; MALASPINA_LEG3_066-2; MALASPINA_LEG3_067-2; MALASPINA_LEG3_068-2; MALASPINA_LEG4; MALASPINA_LEG4_069-2; MALASPINA_LEG4_070-2; MALASPINA_LEG4_071-2; MALASPINA_LEG4_072-2; MALASPINA_LEG4_073-2; MALASPINA_LEG4_074-2; MALASPINA_LEG4_075-2; MALASPINA_LEG4_076-2; MALASPINA_LEG4_077-2; MALASPINA_LEG4_078-2; MALASPINA_LEG5; MALASPINA_LEG5_079-2; MALASPINA_LEG5_082-2; MALASPINA_LEG5_083-2; MALASPINA_LEG5_084-2; MALASPINA_LEG5_085-2; MALASPINA_LEG5_086-2; MALASPINA_LEG5_087-2; MALASPINA_LEG5_088-2; MALASPINA_LEG5_090-2; MALASPINA_LEG5_091-2; MALASPINA_LEG5_092-2; MALASPINA_LEG5_093-2; MALASPINA_LEG5_094-2; MALASPINA_LEG5_095-2; MALASPINA_LEG5_096-2; MALASPINA_LEG5_097-2; MALASPINA_LEG5_098-2; MALASPINA_LEG5_099-2; MALASPINA_LEG6; MALASPINA_LEG6_101-2; MALASPINA_LEG6_102-2; MALASPINA_LEG6_103-2; MALASPINA_LEG6_104-2; MALASPINA_LEG6_106-2; MALASPINA_LEG6_107-2; MALASPINA_LEG6_108-2; MALASPINA_LEG6_109-2; MALASPINA_LEG6_110-2; MALASPINA_LEG6_111-2; MALASPINA_LEG6_112-2; MALASPINA_LEG6_113-2; MALASPINA_LEG6_114-2; MALASPINA_LEG6_115-2; MALASPINA_LEG6_116-2; MALASPINA_LEG6_117-2; MALASPINA_LEG6_118-2; MALASPINA_LEG6_119-2; MALASPINA_LEG6_120-2; MALASPINA_LEG6_121-2; MALASPINA_LEG6_122-2; MALASPINA_LEG6_123-2; MALASPINA_LEG6_124-2; MALASPINA_LEG6_125-2; MALASPINA_LEG7; MALASPINA_LEG7_127-2; MALASPINA_LEG7_128-2; MALASPINA_LEG7_129-2; MALASPINA_LEG7_130-2; MALASPINA_LEG7_131-2; MALASPINA_LEG7_132-2; MALASPINA_LEG7_133-2; MALASPINA_LEG7_134-2; MALASPINA_LEG7_135-2; MALASPINA_LEG7_136-2; MALASPINA_LEG7_137-2; MALASPINA_LEG7_138-2; MALASPINA_LEG7_139-2; MALASPINA_LEG7_140-2; MALASPINA_LEG7_141-2; MALASPINA_LEG7_142-2; MALASPINA_LEG7_143-2; MALASPINA_LEG7_144-2; MALASPINA_LEG7_145-2; MALASPINA_LEG7_146-2; MH005_003; MH008_006; MH009_007; MH010_008; MH011_009; MH012_010; MH013_011; MH014_012; MH015_013; MH016_014; MH017_015; MH018_016; MH019_017; MH020_018; MH021_019; MH022_020; MH023_021; MH024_022; MH025_023; MH026_024; MH027_025; MH036_027; MH037_028; MH038_029; MH039_030; MH040_031; MH041_032; MH042_033; MH043_034; MH044_035; MH046_037; MH047_038; MH049_040; MH050_041; MH051_042; MH052_043; MH053_044; MH061_045; MH062_046; MH063_047; MH064_048; MH065_049; MH066_050; MH067_051; MH072_052; MH073_053; MH074_054; MH075_055; MH076_056; MH077_057; MH078_058; MH079_059; MH080_060; MH081_061; MH082_062; MH083_063; MH084_064; MH086_066; MH087_067; MH095_069; MH096_070; MH097_071; MH098_072; MH099_073; MH100_074; MH101_075; MH103_077; MH104_078; MH124_080; MH126_082; MH127_083; MH128_084; MH129_085; MH130_086; MH131_087; MH132_088; MH134_090; MH135_091; MH136_092; MH137_093; MH138_094; MH139_095; MH140_096; MH141_097; MH142_098; MH143_099; MH150_101; MH151_102; MH152_103; MH153_104; MH155_106; MH156_107; MH157_108; MH158_109; MH159_110; MH160_111; MH161_112; MH162_113; MH163_114; MH164_115; MH165_116; MH166_117; MH167_118; MH169_120; MH170_121; MH171_122; MH172_123; MH173_124; MH174_125; MH188_127; MH189_128; MH190_129; MH191_130; MH193_131; MH194_132; MH195_133; MH196_134; MH197_135; MH198_136; MH199_137; MH200_138; MH201_139; MH202_140; MH203_141; MH204_142; MH205_143; MH206_144; MH207_145; MH208_146; North Pacific Ocean; Percentage; Prokaryotes, heterotroph; Respiration rate, oxygen; Respiration rate, oxygen, standard error; South Atlantic Ocean; South Pacific Ocean; Station label; Tasman Sea; Temperature, water

Type: Dataset

Format: text/tab-separated-values, 3905 data points

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