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  • 1
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Bioconjugate chemistry 5 (1994), S. 508-512 
    ISSN: 1520-4812
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Oxford, U.K. and Cambridge, USA : Blackwell Science Ltd
    Scandinavian journal of immunology 43 (1996), S. 0 
    ISSN: 1365-3083
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: The immunoglobulin kappa chain gene of human lymphoma cell line HF-1.3.4 was partially sequenced from the 3′ end of the leader exon 2.0 kb downstream. The sequenced stretch of DNA included 1.5 kb of the non-coding JK region 3′ to the JK2 element of the mature gene. Among the known VK germline genes the closest relative was KV328, which was 91% homologous to HF-1.3.4. In the 1.5 kb JK region homology with JK allele of Whitehurst et al. (allele 2) was 89%, with the allele of Hieter et al. (allele 1) 87%. The vast majority of the differences located in the leader intron, the VJ exon or 0.6 kb 3′ to the exon, a localization characteristic of somatic hypermutations of immunoglobulin genes. Another indication that most of the differences observed were due to somatic hypermutations is that the 153 bp stretch of the kappa constant gene (CK) sequenced from the mRNA was 100% homologous with the published CK sequence. The most differences between the JK region sequence and that of Whitehurst et al. probably represent somatic mutations: 43% were transversions, 55% transitions and 2% deletions. In the non-coding JK region transversions of C.G to G.C rather than to A.T were heavily over-represented. This is possibly a feature of B-cell hypermutations in humans and mice.
    Type of Medium: Electronic Resource
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  • 3
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    PANGAEA
    In:  Supplement to: Xu, Zhiguang; Gao, Guang; Xu, Juntian; Wu, Hongyan (2017): Physiological response of a golden tide alga (Sargassum muticum) to the interaction of ocean acidification and phosphorus enrichment. Biogeosciences, 14(3), 671-681, https://doi.org/10.5194/bg-14-671-2017
    Publication Date: 2024-03-15
    Description: The development of golden tides is potentially influenced by global change factors, such as ocean acidification and eutrophication, but related studies are very scarce. In this study, we cultured a golden tide alga, Sargasssum muticum, at two levels of pCO2 (400 and 1000 µatm) and phosphate (0.5 and 40?µM) to investigate the interactive effects of elevated pCO2 and phosphate on the physiological properties of the thalli. Higher pCO2 and phosphate (P) levels alone increased the relative growth rate by 41 and 48%, the net photosynthetic rate by 46 and 55 %, and the soluble carbohydrates by 33 and 62 %, respectively, while the combination of these two levels did not promote growth or soluble carbohydrates further. The higher levels of pCO2 and P alone also enhanced the nitrate uptake rate by 68 and 36 %, the nitrate reductase activity (NRA) by 89 and 39 %, and the soluble protein by 19 and 15 %, respectively. The nitrate uptake rate and soluble protein was further enhanced, although the nitrate reductase activity was reduced when the higher levels of pCO2 and P worked together. The higher pCO2 and higher P levels alone did not affect the dark respiration rate of the thalli, but together they increased it by 32 % compared to the condition of lower pCO2 and lower P. The neutral effect of the higher levels of pCO2 and higher P on growth and soluble carbohydrates, combined with the promoting effect on soluble protein and dark respiration, suggests that more energy was drawn from carbon assimilation to nitrogen assimilation under conditions of higher pCO2 and higher P; this is most likely to act against the higher pCO2 that caused acid-base perturbation via synthesizing H+ transport-related protein. Our results indicate that ocean acidification and eutrophication may not boost golden tide events synergistically, although each one has a promoting effect.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbohydrates, soluble; Carbohydrates, soluble, standard deviation; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Chlorophyll a; Chlorophyll a, standard deviation; Chromista; Coast and continental shelf; EXP; Experiment; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth; Growth/Morphology; Growth rate, standard deviation; Laboratory experiment; Lidao; Macroalgae; Macro-nutrients; Net photosynthesis rate, oxygen; Net photosynthesis rate, standard deviation; Nitrate reductase activity; Nitrate reductase activity, standard deviation; Nitrate uptake rate; Nitrate uptake rate, standard deviation; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Other metabolic rates; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Proteins, soluble; Proteins, standard deviation; Registration number of species; Respiration; Respiration rate, oxygen; Respiration rate, oxygen, standard deviation; Salinity; Sargassum muticum; Single species; Species; Temperate; Temperature, water; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 1312 data points
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  • 4
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    PANGAEA
    In:  Supplement to: Gao, Guang; Liu, Yameng; Li, Xinshu; Feng, Zhihua; Xu, Zhiguang; Wu, Hongyan; Xu, Juntian (2017): Expected CO2-induced ocean acidification modulates copper toxicity in the green tide alga Ulva prolifera. Environmental and Experimental Botany, 135, 63-72, https://doi.org/10.1016/j.envexpbot.2016.12.007
    Publication Date: 2024-03-15
    Description: Cu is considered to be toxic to macroalgae at higher levels. Ocean acidification can also alter the physiological performances of macroalgae. However, little is known regarding the interactive effects of Cu and ocean acidification on macroalgae. In this study, a green tide macroalga, Ulva prolifera, was cultured at the conditions of three levels of Cu (control, 0.5 µM, and 2 µM) and pCO2 (ambient, 1000 µatm, and 1400 µatm) to investigate the responses of U. prolifera to interaction of Cu exposure and ocean acidification. The relative growth rate of thalli decreased with the rise of Cu for all pCO2 conditions except the 1000 ?atm pCO2. Compared with the control, 2 µM Cu reduced the net photosynthetic rate for all pCO2 conditions while 0.5 µM Cu only reduced it at 1400 µatm pCO2. The inhibition rate of Cu on the relative growth rate and net photosynthetic rate was reduced at 1000 µatm pCO2 but was magnified at 1400 ?atm pCO2. Contrary to growth, the dark respiration rate was enhanced by 0.5 µM Cu at ambient pCO2 and by 2 µM Cu at ambient and 1000 µatm pCO2, although it was reduced by 2 µM Cu at 1400 µatm pCO2 compared to the control. The 0.5 µM Cu did not affect the relative electron transport rate (rETR) for any pCO2 condition but 2 µM Cu decreased it for all pCO2 conditions except 1000 µatm pCO2. The mute effect of 0.5 µM Cu on the net photosynthetic rate and rETR at ambient pCO2 may be due to more Chl a and Chl b being synthesized. In addition, 2 µM Cu and 1400 µatm pCO2 led to branched thalli, which may be a defense mechanism against the stress of high Cu and pCO2. Our data, for the first time, demonstrate that a modest increase of pCO2 can alleviate the toxicity of Cu to U. prolifera whilst a further increase exacerbates it. U. prolifera can respond to the stress of Cu pollution and ocean acidification via physiological and morphological alterations.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Carotenoids; Carotenoids, standard deviation; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll b; Chlorophyll b, standard deviation; Chlorophyta; Coast and continental shelf; Electron transport rate, relative; Electron transport rate, relative, standard deviation; Electron transport rate efficiency; Electron transport rate efficiency, standard deviation; EXP; Experiment; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth; Growth/Morphology; Growth inhibition; Growth inhibition, standard deviation; Growth rate, standard deviation; Inhibition of net photosynthesis; Inhibition of net photosynthesis, standard deviation; Inorganic toxins; Irradiance; Laboratory experiment; Lianyungang_OA; Light saturation; Light saturation, standard deviation; Macroalgae; Maximal electron transport rate, relative; Maximal electron transport rate, relative, standard deviation; Net photosynthesis rate, oxygen; Net photosynthesis rate, standard deviation; Non photochemical quenching; Non photochemical quenching, standard deviation; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Plantae; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Registration number of species; Respiration; Respiration rate, oxygen; Respiration rate, oxygen, standard deviation; Salinity; Single species; Species; Temperate; Temperature, water; Treatment; Type; Ulva prolifera; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 3435 data points
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  • 5
    Publication Date: 2017-01-30
    Description: The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual BioHackathons hosted in Japan for the past five years. Here we provide a review of the activities and outcomes from the BioHackathons held in 2011 in Kyoto and 2012 in Toyama. In order to efficiently implement semantic technologies in the life sciences, participants formed various sub-groups and worked on the following topics: Resource Description Framework (RDF) models for specific domains, text mining of the literature, ontology development, essential metadata for biological databases, platforms to enable efficient Semantic Web technology development and interoperability, and the development of applications for Semantic Web data. In this review, we briefly introduce the themes covered by these sub-groups. The observations made, conclusions drawn, and software development projects that emerged from these activities are discussed.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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  • 6
    Publication Date: 2015-10-03
    Description: Suspended particles from the lower Changjiang were collected monthly from 2003 through 2011, which corresponds to the three construction periods of the Three Gorges Dam. Organic carbon (%OC), organic carbon to total nitrogen molar ratio (C/N), stable carbon isotope and terrestrial biomarkers were examined. Rating curve studies were applied for the temporal trend analysis. The composition of particulate lignin phenols exhibited clear annual and periodic variations but only minor seasonal changes. Lignin phenol ratios (vanillyl/syringyl (S/V) and cinnamyl/vanillyl (C/V)) indicated that the terrigenous organic matter (OM) was primarily composed of woody and non-woody tissue derived from angiosperm plants. The low lignin phenol yields (Λ8) in combination with higher acid to aldehyde ratios reflected a substantial contribution from soil OM to the particle samples or modifications during river transport. The temporal shift of the lignin phenol vegetation index (LPVI) with the sediment load during the flood seasons revealed POM erosion from soils and the impact of hydrodynamic processes. The dam operations affected the seasonal variability of terrigenous OM fluxes, although the co-variation of lignin and sediment loads with discharged water implies that unseasonal extreme conditions and climate change most likely had larger influences because decreases in the sediment load and lignin flux alter the structure and composition of particulate OM (POM) on interannual time scales, indicating that they may be driven by climate variability. The modification of the composition and structure of POM will have significant impacts on regional carbon cycles and marine ecosystems.
    Print ISSN: 0148-0227
    Topics: Biology , Geosciences
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  • 7
    Publication Date: 2014-10-11
    Description: Background: Sesame (Sesamum indicum L., 2n?=?26) is an important oilseed crop with an estimated genome size of 369?Mb. The genetic basis, including the number and locations of quantitative trait loci (QTLs) of sesame grain yield and quality remain poorly understood, due in part to the lack of reliable markers and genetic maps. Here we report on the construction of a hitherto most high-density genetic map of sesame using the restriction-site associated DNA sequencing (RAD-seq) combined with 89 PCR markers, and the identification of grain yield-related QTLs using a recombinant inbred line (RIL) population.ResultIn total, 3,769 single-nucleotide polymorphism (SNP) markers were identified from RAD-seq, and 89 polymorphic PCR markers were identified including 44 expressed sequence tag-simple sequence repeats (EST-SSRs), 10 genomic-SSRs and 35 Insertion-Deletion markers (InDels). The final map included 1,230 markers distributed on 14 linkage groups (LGs) and was 844.46?cM in length with an average of 0.69?cM between adjacent markers. Using this map and RIL population, we detected 13 QTLs on 7 LGs and 17 QTLs on 10 LGs for seven grain yield-related traits by the multiple interval mapping (MIM) and the mixed linear composite interval mapping (MCIM), respectively. Three major QTLs had been identified using MIM with R2?〉?10.0% or MCIM with ha 2?〉?5.0%. Two co-localized QTL groups were identified that partially explained the correlations among five yield-related traits. Conclusion: Three thousand eight hundred and four pairs of new DNA markers including SNPs and InDels were developed by RAD-seq, and a so far most high-density genetic map was constructed based on these markers in combination with SSR markers. Several grain yield-related QTLs had been identified using this population and genetic map. We report here the first QTL mapping of yield-related traits with a high-density genetic map using a RIL population in sesame. Results of this study solidified the basis for studying important agricultural traits and implementing marker-assisted selection (MAS) toward genetic improvement in sesame.
    Electronic ISSN: 1471-2229
    Topics: Biology
    Published by BioMed Central
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  • 8
    Publication Date: 2013-09-10
    Description: BACKGROUND Several genome-wide association studies (GWAS) of prostate cancer (PCa) have identified many single nucleotide polymorphisms (SNPs) that are significantly associated with PCa risk in various racial groups. The objective of this study is to evaluate which of these SNPs are associated with PCa risk in Chinese men and estimate their strength of association. METHODS All SNPs that were reported to be associated with PCa risk in GWAS from populations of European, African American, Japanese, and Chinese descent were evaluated in 1,922 PCa cases and 2,175 controls selected from the Chinese Consortium for Prostate Cancer Genetics (ChinaPCa). A logistic regression analysis was used to estimate allelic odds ratios (ORs) of these SNPs for PCa. RESULTS Among the 53 SNPs, 50 were polymorphic in the Chinese population. Of which, 10 and 24 SNPs were significantly associated with PCa risk in Chinese men at P  〈 0.001 and 〈0.05, respectively. These 24 significant SNPs included 17, 5, and 2 SNPs that were originally discovered in European, Japanese, and Chinese descent, respectively. The estimated ORs ranged from 1.10 to 1.49 and the direction of association was consistent with previous studies. When ORs were estimated separately for PCa with Gleason score ≤7 and ≥8, a marginally significant difference in ORs was found only for two of the 24 SNPs ( P  = 0.02 and 0.04). CONCLUSION About half of PCa risk-associated SNPs identified in GWAS of various populations are associated with PCa risk in Chinese men. Information on PCa risk-associated SNPs and their ORs may facilitate risk assessment of PCa risk in Chinese men. Prostate © 2013 Wiley Periodicals, Inc.
    Print ISSN: 0270-4137
    Electronic ISSN: 1097-0045
    Topics: Medicine
    Published by Wiley-Blackwell
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  • 9
    Publication Date: 2017-10-04
    Description: In view of future changes in climate, it is important to better understand how different plant functional groups (PFGs) respond to warmer and drier conditions, particularly in temperate regions where an increase in both the frequency and severity of drought is expected. The patterns and mechanisms of immediate and delayed impacts of extreme drought on vegetation growth remain poorly quantified. Using satellite measurements of vegetation greenness, in-situ tree-ring records, eddy-covariance CO 2 and water flux measurements, and meta-analyses of source water of plant use among PFGs, we show that drought legacy effects on vegetation growth differ markedly between forests, shrubs and grass across diverse bioclimatic conditions over the temperate Northern Hemisphere (NH). Deep−rooted forests exhibit a drought legacy response with reduced growth during up to 4 years after an extreme drought, whereas shrubs and grass have drought legacy effects of approximately 2 years and 1 year, respectively. Statistical analyses partly attribute the differences in drought legacy effects among PFGs to plant eco-hydrological properties (related to traits), including plant water use and hydraulic responses. These results can be used to improve the representation of drought response of different PFGs in land surface models, and assess their biogeochemical and biophysical feedbacks in response to a warmer and drier climate. This article is protected by copyright. All rights reserved.
    Print ISSN: 1354-1013
    Electronic ISSN: 1365-2486
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Published by Wiley-Blackwell
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  • 10
    Publication Date: 2017-03-16
    Description: The Journal of Organic Chemistry DOI: 10.1021/acs.joc.6b02852
    Print ISSN: 0022-3263
    Electronic ISSN: 1520-6904
    Topics: Chemistry and Pharmacology
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