The relevance of the silica metabolizing enzyme silicatein-alpha to biomineralization and the formation of biogenic silica in siliceous sponges

Die technische Silikatproduktion erfordert in der Regel hohe Temperaturen und extreme pH-Werte. In der Natur hingegen haben insbesondere Kieselschwämme die außergewöhnliche Fähigkeit, ihr Silikatskelett, das aus einzelnen sogenannten Spiculae besteht, enzymatisch mittels des Proteins Silicatein zu synthetisieren. rnIm Inneren der Spiculae, im zentralen Kanal, befindet sich das Axialfilament, welches hauptsächlich aus Silicatein-α aufgebaut ist. Mittels Antikörperfärbungen und Elektronenmikroskopischen Analysen konnte festgestellt werden, dass Silicatein in mit Kieselsäure-gefüllten Zellorganellen (silicasomes) nachzuweisen ist. Mittels dieser Vakuolen kann das Enzym und die Kieselsäure aus der Zelle zu den Spiculae im extrazellulären Raum befördert werden, wo diese ihre endgültige Länge und Dicke erreichen. Zum ersten Mal konnte nachgewiesen werden, dass rekombinant hergestelltes Silicatein-α sowohl als Siliciumdioxid-Polymerase als auch Siliciumdioxid-Esterase wirkt. Mittels Massenspektroskopie konnte die enzymatische Polymerisation von Kieselsäure nachverfolgt werden. Durch Spaltung der Esterbindung des künstlichen Substrates Bis(p-aminophenoxy)-dimethylsilan war es möglich kinetische Parameter der Siliciumdioxid-Esterase-Aktivität des rekombinanten Silicateins zu ermitteln.rnZu den größten biogenen Silikatstukuren auf der Erde gehören die Kieselnadeln der Schwammklasse Hexactinellida. Nadelextrakte aus den Schwammklassen Demospongien (S. domuncula) und Hexactinellida (M. chuni) wurden miteinander verglichen um die potentielle Existenz von Silicatein oder Silicatein-ähnliche Molekülen und die dazu gehörige proteolytischen Aktivität nachzuweisen. Biochemische Analysen zeigten, dass das 27 kDA große isolierte Polypeptid in Monoraphis mehrere gemeinsame Merkmale mit den Silicateinen der Demospongien teilt. Dazu gehören die Größe und die Proteinase-Aktivität. rnUm die Frage zu klären, ob das axiale Filament selbst zur Formbildung der Skelettelemente beiträgt, wurde ein neues mildes Extraktionsverfahren eingeführt. Dieses Verfahren ermöglichte die Solubilisierung des nativen Silicateins aus den Spiculae. Die isolierten Silicateine lagen als Monomere (24 kDa) vor, die Dimere durch nicht-kovalente Bindungen ausbildeten. Darüber hinaus konnten durch PAGE-Gelelektrophorese Tetramere (95 kDa) und Hexamere (135 kDa) nachgewiesen werden. Die Monomere zeigten eine beträchtliche proteolytische Aktivität, die sich während der Polymerisationsphase des Proteins weiter erhöhte. Mit Hilfe der Lichtmikroskopie und Elektronenmikroskopie (TEM) konnte die Assemblierung der Proteine zu filamentartigen Strukturen gezeigt werden. Die Selbstorganisation der Silicatein-α-Monomeren scheint eine Basis für Form- und Musterbildung der wachsenden Nadeln zu bilden.rn Um die Rolle des kürzlich entdeckten Proteins Silintaphin-1, ein starker Interaktionspartner des Silicatein-α, während der Biosilifizierung zu klären, wurden Assemblierungs-Experimente mit den rekombinanten Proteinen in vitro durchgeführt. Zusätzlich wurde deren Effekt auf die Biosilikatsynthese untersucht. Elektronenmikroskopische Analysen ergaben, dass rekombinantes Silicatein-α zufällig verteilte Aggregate bildet, während die Koinkubation beider Proteine (molekulares Verhältnis 4:1) über fraktal artige Strukturen zu Filamenten führt. Auch die enzymatische Aktivität der Silicatein-α-vermittelte Biosilikatsynthese erhöhte sich in Gegenwart von Silintaphin-1 um das 5,3-fache. rn

Fourier transform infrared spectroscopy, a new method for rapid determination of total organic and inorganic carbon and biogenic silica concentration in lake sediments

Abstract We demonstrate the use of Fourier transform infrared spectroscopy (FTIRS) to make quantitative measures of total organic carbon (TOC), total inorganic carbon (TIC) and biogenic silica (BSi) concentrations in sediment. FTIRS is a fast and costeffective technique and only small sediment samples are needed (0.01 g). Statistically significant models were developed using sediment samples from northern Sweden and were applied to sediment records from Sweden, northeast Siberia and Macedonia. The correlation between FTIRS-inferred values and amounts of biogeochemical constituents assessed conventionally varied between r = 0.84–0.99 for TOC, r = 0.85– 0.99 for TIC, and r = 0.68–0.94 for BSi. Because FTIR spectra contain information on a large number of both inorganic and organic components, there is great potential for FTIRS to become an important tool in paleolimnology.

Modeling Responses of Diatom Productivity and Biogenic Silica Export to Iron Enrichment in the Equatorial Pacific Ocean

Using a three-dimensional physical-biogeochemical model, we have investigated the modeled responses of diatom productivity and biogenic silica export to iron enrichment in the equatorial Pacific, and compared the model simulation with in situ (IronEx II) iron fertilization results. In the eastern equatorial Pacific, an area of 540,000 km(2) was enhanced with iron by changing the photosynthetic efficiency and silicate and nitrogen uptake kinetics of phytoplankton in the model for a period of 20 days. The vertically integrated Chl a and primary production increased by about threefold 5 days after the start of the experiment, similar to that observed in the IronEx II experiment. Diatoms contribute to the initial increase of the total phytoplankton biomass, but decrease sharply after 10 days because of mesozooplankton grazing. The modeled surface nutrients (silicate and nitrate) and TCO(2) anomaly fields, obtained from the difference between the "iron addition'' and "ambient'' (without iron) concentrations, also agreed well with the IronEx II observations. The enriched patch is tracked with an inert tracer similar to the SF6 used in the IronEx II. The modeled depth-time distribution of sinking biogenic silica (BSi) indicates that it would take more than 30 days after iron injection to detect any significant BSi export out of the euphotic zone. Sensitivity studies were performed to establish the importance of fertilized patch size, duration of fertilization, and the role of mesozooplankton grazing. A larger size of the iron patch tends to produce a broader extent and longer-lasting phytoplankton blooms. Longer duration prolongs phytoplankton growth, but higher zooplankton grazing pressure prevents significant phytoplankton biomass accumulation. With the same treatment of iron fertilization in the model, lowering mesozooplankton grazing rate generates much stronger diatom bloom, but it is terminated by Si(OH)(4) limitation after the initial rapid increase. Increasing mesozooplankton grazing rate, the diatom increase due to iron addition stays at minimum level, but small phytoplankton tend to increase. The numerical model experiments demonstrate the value of ecosystem modeling for evaluating the detailed interaction between biogeochemical cycle and iron fertilization in the equatorial Pacific.

Independent measurement of biogenic silica in sediments by FTIR spectroscopy and PLS regression

We present an independent calibration model for the determination of biogenic silica (BSi) in sediments, developed from analysis of synthetic sediment mixtures and application of Fourier transform infrared spectroscopy (FTIRS) and partial least squares regression (PLSR) modeling. In contrast to current FTIRS applications for quantifying BSi, this new calibration is independent from conventional wet-chemical techniques and their associated measurement uncertainties. This approach also removes the need for developing internal calibrations between the two methods for individual sediments records. For the independent calibration, we produced six series of different synthetic sediment mixtures using two purified diatom extracts, with one extract mixed with quartz sand, calcite, 60/40 quartz/calcite and two different natural sediments, and a second extract mixed with one of the natural sediments. A total of 306 samples—51 samples per series—yielded BSi contents ranging from 0 to 100 %. The resulting PLSR calibration model between the FTIR spectral information and the defined BSi concentration of the synthetic sediment mixtures exhibits a strong cross-validated correlation ( R2cv = 0.97) and a low root-mean square error of cross-validation (RMSECV = 4.7 %). Application of the independent calibration to natural lacustrine and marine sediments yields robust BSi reconstructions. At present, the synthetic mixtures do not include the variation in organic matter that occurs in natural samples, which may explain the somewhat lower prediction accuracy of the calibration model for organic-rich samples.

(Table 1) Water column biogenic silica concentrations and Si isotopic composition during Marion Dufresne cruise MD166 off South Africa

Southern Ocean biogeochemical processes have an impact on global marine primary production and global elemental cycling, e.g. by likely controlling glacial-interglacial pCO2 variation. In this context, the natural silicon isotopic composition (d30Si) of sedimentary biogenic silica has been used to reconstruct past Si-consumption:supply ratios in the surface waters. We present a new dataset in the Southern Ocean from a IPY-GEOTRACES transect (Bonus-GoodHope) which includes for the first time summer d30Si signatures of suspended biogenic silica (i) for the whole water column at three stations and (ii) in the mixed layer at seven stations from the subtropical zone up to the Weddell Gyre. In general, the isotopic composition of biogenic opal exported to depth was comparable to the opal leaving the mixed layer and did not seem to be affected by any diagenetic processes during settling, even if an effect of biogenic silica dissolution cannot be ruled out in the northern part of the Weddell Gyre. We develop a mechanistic understanding of the processes involved in the modern Si-isotopic balance, by implementing a mixed layer model. We observe that the accumulated biogenic silica (sensu Rayleigh distillation) should satisfactorily describe the d30Si composition of biogenic silica exported out of the mixed layer, within the limit of the current analytical precision on the d30Si. The failures of previous models (Rayleigh and steady state) become apparent especially at the end of the productive period in the mixed layer, when biogenic silica production and export are low. This results from (1) a higher biogenic silica dissolution:production ratio imposing a lower net fractionation factor and (2) a higher Si-supply:Si-uptake ratio supplying light Si-isotopes into the mixed layer. The latter effect is especially expressed when the summer mixed layer becomes strongly Si-depleted, together with a large vertical silicic acid gradient, e.g. in the Polar Front Zone and at the Polar Front.