Table 1: Densities of nitrate-dissimilating and nitrite-dissimilating bacteria in surface sediments in the German Bight, North Sea

At 24 stations in the Weser Estuary and the German Bight the Most Probable Numbers (MPN/g dry wt. sediment) of nitrate-dissimilating (= denitrifying) and of nitrate plus nitrite-dissimilating bacteria were recorded. The numbers of nitrite-dissimilating bacteria, i. e. denitrifiers not capable of reducing nitrate to nitrite, were calculated by subtraction of the MPN for nitrate-dissimilating from the MPN of nitrate plus nitrite-dissimilating bacteria. By determining the percentages of these bacteria in relation to the number of the heterotrophs, the ecological importance of denitrification, especially the nitrite dissimilation, was estimated. The results showed the MPN of nitrate-dissimilating bacteria to be in the range of 0-156 (up to 0.8 % of heterotrophic bacteria). An exception was the sediment of one station with a MPN of 1849, or 5.2 % of the heterotrophs. The amounts of nitrite-dissimilating bacteria were between 0 and 2352 (up to 13 % of heterotrophic bacteria). In the estuary the numbers of nitrate-dissimilating and of nitrite-dissimilating bacteria showed a decreasing tendency with distance from Bremerhaven. The highest numbers were found in the Weser off Bremerhaven and also at 3 stations in the German Bight, south of the Isle of Helgoland.

Bulk 15N, and 13Corg ratios, and calculation of unutilized nitrate of surface samples off the southwest coast of Africa (Table 1)

Bulk delta15N values in surface sediment samples off the southwestern coast of Africa were measured to investigate the biogeochemical processes occurring in the water column. Nitrate concentrations and the degree of utilization of the nitrate pool are the predominant controls on sedimentary delta15N in the Benguela Current region. Denitrification does not appear to have had an important effect on the delta15N signal of these sediments and, based on delta15N and delta13C, there is little terrestrial input.

The influence of bedrock hydrogeology on catchment-scale nitrate fate and transport in fractured aquifers

Characterising catchment scale biogeochemical processes controlling nitrate fate in groundwater constitutes a fundamental consideration when applying programmes of measures to reduce risks posed by diffuse agricultural pollutants to water quality. Combining hydrochemical analyses with nitrate isotopic data and physical hydrogeological measurements permitted characterisation of biogeochemical processes influencing nitrogen fate and transport in the groundwater in two fractured bedrock aquifers with contrasting hydrogeology but comparable nutrient loads. Hydrochemical and isotopic analyses of groundwater samples collected from moderately fractured, diffusely karstified limestone indicated nitrification controlled dissolved nitrogen fate and delivery to aquatic receptors. By contrast nitrate concentrations in groundwater were considerably lower in a low transmissivity highly lithified sandstone and pyrite-bearing shale unit with patchy subsoil cover. Geophysical and hydrochemical investigations showed shallower intervals contained hydraulically active fractures where denitrification was reflected through lower nitrogen levels and an isotopic enrichment ratio of 1.7 between δ15N and δ18O. Study findings highlight the influence of bedrock hydrogeological conditions on aqueous nitrogen mobility. Investigation results demonstrate that bedrock conditions need to be considered when implementing catchment management plans to reduce the impact of agricultural practices on the quality of groundwater and baseflow in receiving rivers.

Design and Experimental Investigation of a Hydroxyl Ammonium Nitrate Based Workhorse Microthruster

Thesis (Master's)--University of Washington, 2016-08

Development of error correction techniques for nitrate-N load estimation models

Excess nutrient loads carried by streams and rivers are a great concern for environmental resource managers. In agricultural regions, excess loads are transported downstream to receiving water bodies, potentially causing algal blooms, which could lead to numerous ecological problems. To better understand nutrient load transport, and to develop appropriate water management plans, it is important to have accurate estimates of annual nutrient loads. This study used a Monte Carlo sub-sampling method and error-corrected statistical models to estimate annual nitrate-N loads from two watersheds in central Illinois. The performance of three load estimation methods (the seven-parameter log-linear model, the ratio estimator, and the flow-weighted averaging estimator) applied at one-, two-, four-, six-, and eight-week sampling frequencies were compared. Five error correction techniques; the existing composite method, and four new error correction techniques developed in this study; were applied to each combination of sampling frequency and load estimation method. On average, the most accurate error reduction technique, (proportional rectangular) resulted in 15% and 30% more accurate load estimates when compared to the most accurate uncorrected load estimation method (ratio estimator) for the two watersheds. Using error correction methods, it is possible to design more cost-effective monitoring plans by achieving the same load estimation accuracy with fewer observations. Finally, the optimum combinations of monitoring threshold and sampling frequency that minimizes the number of samples required to achieve specified levels of accuracy in load estimation were determined. For one- to three-weeks sampling frequencies, combined threshold/fixed-interval monitoring approaches produced the best outcomes, while fixed-interval-only approaches produced the most accurate results for four- to eight-weeks sampling frequencies.

Betalain rich functional extract with reduced salts and nitrate content from red beetroot (Beta vulgaris L.) using membrane separation technology

An initial laboratory-scale evaluation of separation characteristics of membranes with nominal molecular weight cut-offs (NMWCO) ranging from 30 kD down to 0.5 kD indicated effective separation of betalains in the 0.5 kD region. Subsequent pilot-level trials using 1 kD, loose reverse osmosis (LRO) and reverse osmosis (RO) spiral-wound membranes showed LRO membrane to be very efficient with up to 96% salt and 47% other dissolved solids removed while retaining majority of the pigment (∼98%) in the betalain rich extract (BRE). The total betalain content in the BRE increased up to 46%, the highest recovery reported so far at pilot scale level. Interestingly, more than 95% of the nitrates were removed from the BRE after the three diafiltrations. These studies indicate that membrane technology is the most efficient technique to produce BRE with highly reduced amounts of salts and nitrate content.

Nitrate metabolism in the dinoflagellate Lingulodinium polyedrum

Les dinoflagellés sont des eucaryotes unicellulaires retrouvés dans la plupart des écosystèmes aquatiques du globe. Ces organismes amènent une contribution substantielle à la production primaire des océans, soit en tant que membre du phytoplancton, soit en tant que symbiontes des anthozoaires formant les récifs coralliens. Malheureusement, ce rôle écologique majeur est souvent négligé face à la capacité de certaines espèces de dinoflagellés à former des fleurs d'eau, parfois d'étendue et de durée spectaculaires. Ces floraisons d'algues, communément appelées "marées rouges", peuvent avoir de graves conséquences sur les écosystèmes côtiers, sur les industries de la pêche et du tourisme, ainsi que sur la santé humaine. Un des facteurs souvent corrélé avec la formation des fleurs d'eau est une augmentation dans la concentration de nutriments, notamment l’azote et le phosphore. Le nitrate est un des composants principaux retrouvés dans les eaux de ruissellement agricoles, mais également la forme d'azote bioaccessible la plus abondante dans les écosystèmes marins. Ainsi, l'agriculture humaine a contribué à magnifier significativement les problèmes associés aux marées rouges au niveau mondial. Cependant, la pollution ne peut pas expliquer à elle seule la formation et la persistance des fleurs d'eau, qui impliquent plusieurs facteurs biotiques et abiotiques. Il est particulièrement difficile d'évaluer l'importance relative qu'ont les ajouts de nitrate par rapport à ces autres facteurs, parce que le métabolisme du nitrate chez les dinoflagellés est largement méconnu. Le but principal de cette thèse vise à remédier à cette lacune. J'ai choisi Lingulodinium polyedrum comme modèle pour l'étude du métabolisme du nitrate, parce que ce dinoflagellé est facilement cultivable en laboratoire et qu'une étude transcriptomique a récemment fourni une liste de gènes pratiquement complète pour cette espèce. Il est également intéressant que certaines composantes moléculaires de la voie du nitrate chez cet organisme soient sous contrôle circadien. Ainsi, dans ce projet, j'ai utilisé des analyses physiologiques, biochimiques, transcriptomiques et bioinformatiques pour enrichir nos connaissances sur le métabolisme du nitrate des dinoflagellés et nous permettre de mieux apprécier le rôle de l'horloge circadienne dans la régulation de cette importante voie métabolique primaire. Je me suis tout d'abord penché sur les cas particuliers où des floraisons de dinoflagellés sont observées dans des conditions de carence en azote. Cette idée peut sembler contreintuitive, parce que l'ajout de nitrate plutôt que son épuisement dans le milieu est généralement associé aux floraisons d'algues. Cependant, j’ai découvert que lorsque du nitrate était ajouté à des cultures initialement carencées ou enrichies en azote, celles qui s'étaient acclimatées au stress d'azote arrivaient à survivre près de deux mois à haute densité cellulaire, alors que les cellules qui n'étaient pas acclimatées mourraient après deux semaines. En condition de carence d'azote sévère, les cellules arrivaient à survivre un peu plus de deux semaines et ce, en arrêtant leur cycle cellulaire et en diminuant leur activité photosynthétique. L’incapacité pour ces cellules carencées à synthétiser de nouveaux acides aminés dans un contexte où la photosynthèse était toujours active a mené à l’accumulation de carbone réduit sous forme de granules d’amidon et corps lipidiques. Curieusement, ces deux réserves de carbone se trouvaient à des pôles opposés de la cellule, suggérant un rôle fonctionnel à cette polarisation. La deuxième contribution de ma thèse fut d’identifier et de caractériser les premiers transporteurs de nitrate chez les dinoflagellés. J'ai découvert que Lingulodinium ne possédait que très peu de transporteurs comparativement à ce qui est observé chez les plantes et j'ai suggéré que seuls les membres de la famille des transporteurs de nitrate de haute affinité 2 (NRT2) étaient réellement impliqués dans le transport du nitrate. Le principal transporteur chez Lingulodinium était exprimé constitutivement, suggérant que l’acquisition du nitrate chez ce dinoflagellé se fondait majoritairement sur un système constitutif plutôt qu’inductible. Enfin, j'ai démontré que l'acquisition du nitrate chez Lingulodinium était régulée par la lumière et non par l'horloge circadienne, tel qu'il avait été proposé dans une étude antérieure. Finalement, j’ai utilisé une approche RNA-seq pour vérifier si certains transcrits de composantes impliquées dans le métabolisme du nitrate de Lingulodinium étaient sous contrôle circadien. Non seulement ai-je découvert qu’il n’y avait aucune variation journalière dans les niveaux des transcrits impliqués dans le métabolisme du nitrate, j’ai aussi constaté qu’il n’y avait aucune variation journalière pour n’importe quel ARN du transcriptome de Lingulodinium. Cette découverte a démontré que l’horloge de ce dinoflagellé n'avait pas besoin de transcription rythmique pour générer des rythmes physiologiques comme observé chez les autres eukaryotes.

Impacts of high-nitrate freshwater inputs on macrotidal ecosystems. I. Seasonal evolution of nutrient limitation for the diatom-dominated phytoplankton of the Bay of Brest (France)

The chemical factors (inorganic nitrogen, phosphate, silicic acid) that potentially or actually control primary production were determined for the Bay of Brest, France, a macrotidal ecosystem submitted to high-nitrate-loaded freshwater inputs (winter nitrate freshwater concentrations >700 mu M, Si:N molar ratio as low as 0.2, i.e. among the lowest ever published). Intensive data collection and observations were carried out from February 1993 to March 1994 to determine the variations of physical [salinity, temperature, photosynthetically active radiation (PAR), freshwater discharges] and chemical (oxygen and nutrients) parameters and their impacts on the phytoplankton cycle (fluorescence, pigments, primary production). With insufficient PAR the winter stocks of nutrients were almost nonutilized and the nitrate excess was exported to the adjacent ocean, due to rapid tidal exchange. By early April, a diatom-dominated spring bloom developed (chlorophyll a maximum = 7.7 mu g l(-1); primary production maximum = 2.34 g C m(-2) d(-1)) under high initial nutrient concentrations. Silicic acid was rapidly exhausted over the whole water column; it is inferred to be the primary limiting factor responsible for the collapse of the spring bloom by mid-May. Successive phytoplankton developments characterized the period of secondary blooms during summer and fall (successive surface chlorophyll a maxima = 3.5, 1.6, 1.8 and 1.0 mu g l(-1); primary production = 1.24, 1.18 and 0.35 g C m(-2) d(-1)). Those secondary blooms developed under lower nutrient concentrations, mostly originating from nutrient recycling. Until August, Si and P most likely limited primary production, whereas the last stage of the productive period in September seemed to be N limited instead, this being a period of total nitrate depletion in almost the whole water column. Si limitation of spring blooms has become a common feature in coastal ecosystems that receive freshwater inputs with Si:N molar ratios <1. The peculiarity of Si Limitation in the Bay of Brest is its extension through the summer period.

Possible inhibition of hydroxy methyl glutaryl CoA reductase activity by nicotinic acid and ergosterol: as targeting for hypocholesterolemic action.

Objective: Coronary artery diseases including atherosclerosis is considered as commonest problem worldwide. Ergosterols are the main components of vegetable oils and nuts. The objective of this study was to evaluate the potential hypoplipidemic and hypocholesterolemic effects of ergosterol in combination with niacin in rats fed high fat diet (HFD). Methods: Eighty male albino rats were included in this study divided into two main groups: Group I: Normal rats fed standard diet treated with either niacin (8.5 mg /kg b.w) or ergosterol (100 mg/kg b.w) or both. Group II; rats fed HFD treated with either niacin (8.5 mg /kg b.w) or ergosterol (100 mg/kg b.w) or both The feeding and treatment lasted for 8 weeks. Results: A significant elevation in the levels of total cholesterol, triacylglycerol, VLDL-c, LDL-c and atherogenic factor (p<0.001) in rats fed on HFD compared with normal control while HDL-c was significantly reduced in HFD rats compared with control group. Supplementation of diet with niacin or ergosterol or combined exerts improvement in the studied parameters by lowering triacylglycerol, total cholesterol, LDL-c and atherogenic factor and elevate HDL-c near to the value of control. Niacin combined with ergosterol were effective in the reduction of hydroxy methyl glutaryl-CoA reducatase (HMGCoA) compared with control (p<0.001). The combined effect was more potent than individual alone. Conclusion: Utilization of niacin and ergosterol may prevent the hypercholesterolemia and incidence of coronary heart diseases. These functional foods act as nutriceutical as dyslipidemics.

Dietary nitrate modulates cerebral blood flow parameters and cognitive performance in humans : a double-blind, placebo-controlled, crossover investigation

Processing Bio-Argo nitrate concentration at the DAC Level

The only method used to date to measure dissolved nitrate concentration (NITRATE) with sensors mounted on profiling floats is based on the absorption of light at ultraviolet wavelengths by nitrate ion (Johnson and Coletti, 2002; Johnson et al., 2010; 2013; D’Ortenzio et al., 2012). Nitrate has a modest UV absorption band with a peak near 210 nm, which overlaps with the stronger absorption band of bromide, which has a peak near 200 nm. In addition, there is a much weaker absorption due to dissolved organic matter and light scattering by particles (Ogura and Hanya, 1966). The UV spectrum thus consists of three components, bromide, nitrate and a background due to organics and particles. The background also includes thermal effects on the instrument and slow drift. All of these latter effects (organics, particles, thermal effects and drift) tend to be smooth spectra that combine to form an absorption spectrum that is linear in wavelength over relatively short wavelength spans. If the light absorption spectrum is measured in the wavelength range around 217 to 240 nm (the exact range is a bit of a decision by the operator), then the nitrate concentration can be determined. Two different instruments based on the same optical principles are in use for this purpose. The In Situ Ultraviolet Spectrophotometer (ISUS) built at MBARI or at Satlantic has been mounted inside the pressure hull of a Teledyne/Webb Research APEX and NKE Provor profiling floats and the optics penetrate through the upper end cap into the water. The Satlantic Submersible Ultraviolet Nitrate Analyzer (SUNA) is placed on the outside of APEX, Provor, and Navis profiling floats in its own pressure housing and is connected to the float through an underwater cable that provides power and communications. Power, communications between the float controller and the sensor, and data processing requirements are essentially the same for both ISUS and SUNA. There are several possible algorithms that can be used for the deconvolution of nitrate concentration from the observed UV absorption spectrum (Johnson and Coletti, 2002; Arai et al., 2008; Sakamoto et al., 2009; Zielinski et al., 2011). In addition, the default algorithm that is available in Satlantic sensors is a proprietary approach, but this is not generally used on profiling floats. There are some tradeoffs in every approach. To date almost all nitrate sensors on profiling floats have used the Temperature Compensated Salinity Subtracted (TCSS) algorithm developed by Sakamoto et al. (2009), and this document focuses on that method. It is likely that there will be further algorithm development and it is necessary that the data systems clearly identify the algorithm that is used. It is also desirable that the data system allow for recalculation of prior data sets using new algorithms. To accomplish this, the float must report not just the computed nitrate, but the observed light intensity. Then, the rule to obtain only one NITRATE parameter is, if the spectrum is present then, the NITRATE should be recalculated from the spectrum while the computation of nitrate concentration can also generate useful diagnostics of data quality.

Insights into the Specificity of Thioredoxin Reductase-Thioredoxin Interactions. A Structural and Functional Investigation of the Yeast Thioredoxin System

The enzymatic activity of thioredoxin reductase enzymes is endowed by at least two redox centers: a flavin and a dithiol/disulfide CXXC motif. The interaction between thioredoxin reductase and thioredoxin is generally species-specific, but the molecular aspects related to this phenomenon remain elusive. Here, we investigated the yeast cytosolic thioredoxin system, which is composed of NADPH, thioredoxin reductase (ScTrxR1), and thioredoxin 1 (ScTrx1) or thioredoxin 2 (ScTrx2). We showed that ScTrxR1 was able to efficiently reduce yeast thioredoxins (mitochondrial and cytosolic) but failed to reduce the human and Escherichia coli thioredoxin counterparts. To gain insights into this specificity, the crystallographic structure of oxidized ScTrxR1 was solved at 2.4 angstrom resolution. The protein topology of the redox centers indicated the necessity of a large structural rearrangement for FAD and thioredoxin reduction using NADPH. Therefore, we modeled a large structural rotation between the two ScTrxR1 domains (based on the previously described crystal structure, PDB code 1F6M). Employing diverse approaches including enzymatic assays, site-directed mutagenesis, amino acid sequence alignment, and structure comparisons, insights were obtained about the features involved in the species-specificity phenomenon, such as complementary electronic parameters between the surfaces of ScTrxR1 and yeast thioredoxin enzymes and loops and residues (such as Ser(72) in ScTrx2). Finally, structural comparisons and amino acid alignments led us to propose a new classification that includes a larger number of enzymes with thioredoxin reductase activity, neglected in the low/high molecular weight classification.

SERR spectroelectrochemical study of cytochrome cd1 nitrite reductase co-immobilized with physiological redox partner cytochrome c552 on biocompatible metal electrodes

© 2015 Silveira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.