Carbon storage and sediment trapping by Egeria densa Planch., a globally invasive, freshwater macrophyte.

Invasive plants have long been recognized for altering ecosystem properties, but their long-term impacts on ecosystem processes remain largely unknown. In this study, we determined the impact of Egeria densa Planch, a globally invasive freshwater macrophyte, on sedimentation processes in a large tidal freshwater region. We measured carbon accumulation (CARs) and inorganic sedimentation rates in submerged aquatic vegetation SAV dominated by E. densa and compared these rates to those of adjacent tidal freshwater marshes. Study sites were chosen along a range of hydrodynamic conditions in the Sacramento-San Joaquin Delta of California, USA, where E. densa has been widespread since 1990. Cores were analyzed for bulk density, % inorganic matter, % organic carbon, 210Pb, and 137Cs. Our results show that E. densa patches constitute sinks for both "blue carbon" and inorganic sediment. Compared to marshes, E. densa patches have greater inorganic sedimentation rates (E. densa: 1103-5989 g m-2 yr-1, marsh: 393-1001 g m-2 yr-1, p < 0.01) and vertical accretion rates (E. densa: 0.4-1.3 cm yr-1, marsh: 0.3-0.5 cm yr-1, p < 0.05), but similar CARs (E. densa: 59-242 g C m-2 yr-1, marsh: 109-169 g C m-2 yr-1, p > 0.05). Sediment stored by E. densa likely reduces the resilience of adjacent marshes by depleting the sediment available for marsh-building. Because of its harmful traits, E. densa is not a suitable candidate for mitigating carbon pollution; however, currently invaded habitats may already contain a meaningful component of regional carbon budgets. Our results strongly suggest that E. densa patches are sinks for carbon and inorganic sediment throughout its global range, raising questions about how invasive SAV is altering biogeochemical cycling and sediment dynamics across freshwater ecosystems.

Thermoresponsive BSA hydrogels with phase tunability.

Amyloids are fibrillar structures formed due to protein aggregation or misfolding when the molecules undergo a conformational change from α-helix to ß-sheet. Although this self-assembly is associated with many neurodegenerative diseases in vivo, the highly ordered amyloidic structures formed in vitro are ideal scaffolds for many bionanotechnological applications. Amyloid fibrillar networks under specific stimuli can also form stable hydrogels. We have used bovine serum albumin (BSA) as a model amyloidogenic protein to obtain thermally-induced hydrogels that display tunable sol-gel-sol transitions spanning over minutes to days. High concentrations of BSA (14-22% w/v) were heated at 65 °C for less than 3 min without any cross-linking agent to yield soft, injectable gels that were non-toxic to mammalian cells. A detailed investigation of temperature, concentration, incubation time and ionic strength on the formation and reversal of these gels was carried out using visual inspection, rheology, electron microscopy, fluorescence spectroscopy, UV-visible spectroscopy and circular dichroism spectroscopy. The optimum gelation temperature (Tg) for phase reversal of BSA gels was found to lie between 60 and 70 °C. An increase in protein concentration led to a reduction in the gelation time and increase in the gel-to-rev sol transition time. Gels heated for longer duration than their minimum gelation time yielded irreversible gels suggesting that low incubation periods were favourable for partial protein denaturation and hydrogel formation. This was supported by time-resolved secondary and tertiary structural ensemble studies. Further, the hydrogel networks demonstrated a zero-order drug release kinetics and the rev sol was found to be cytocompatible with HaCaT skin cell lines. Overall, our approach demonstrates rapid, crosslinker-free thermoresponsive BSA gelation with wide tunability and control on the time and material property, ideal for topical drug delivery applications.

Resistance and resilience of pelagic and littoral fishes to drought in the San Francisco Estuary.

Many estuarine ecosystems and the fish communities that inhabit them have undergone substantial changes in the past several decades, largely due to multiple interacting stressors that are often of anthropogenic origin. Few are more impactful than droughts, which are predicted to increase in both frequency and severity with climate change. In this study, we examined over five decades of fish monitoring data from the San Francisco Estuary, California, USA, to evaluate the resistance and resilience of fish communities to disturbance from prolonged drought events. High resistance was defined by the lack of decline in species occurrence from a wet to a subsequent drought period, while high resilience was defined by the increase in species occurrence from a drought to a subsequent wet period. We found some unifying themes connecting the multiple drought events over the 50-yr period. Pelagic fishes consistently declined during droughts (low resistance), but exhibit a considerable amount of resiliency and often rebound in the subsequent wet years. However, full recovery does not occur in all wet years following droughts, leading to permanently lower baseline numbers for some pelagic fishes over time. In contrast, littoral fishes seem to be more resistant to drought and may even increase in occurrence during dry years. Based on the consistent detrimental effects of drought on pelagic fishes within the San Francisco Estuary and the inability of these fish populations to recover in some years, we conclude that freshwater flow remains a crucial but not sufficient management tool for the conservation of estuarine biodiversity.

Mechanistic Evaluation of Lipopolysaccharide-Alexidine Interaction Using Spectroscopic and in Silico Approaches.

The increasing problem of multidrug resistance (MDR) in bacteria calls for discovery of new molecules and diagnostic methodologies that are effective against a wide range of microbial pathogens. We have studied the role of alexidine dihydrochloride (alex) as a bioaffinity ligand against lipopolysaccharide (LPS), a pathogen-associated surface marker universally present on all Gram-negative bacteria. While the activity of alex against bacteria is biologically known, little information exists on its mechanism of action or binding stoichiometry. We have used nuclear magnetic resonance (NMR), fluorescence, and surface plasmon resonance (SPR) spectroscopies to probe the binding characteristics of alex and LPS molecules. Our results indicate that LPS:alex stoichiometry lies between 1:2 and 1:4 and has a dissociation constant ( KD) of 38 µM that is mediated through electrostatic interactions between the negatively charged phosphate groups present on LPS and the positively charged guanidinium groups present in alex. Further, molecular dynamics (MD) simulations performed to determine the conformational interaction between the two molecules show good agreement with the experimental results, which substantiate the potential of alex molecule for LPS neutralization and hence, development of efficient in vitro diagnostic assays.

Comparing the Potential of Multispectral and Hyperspectral Data for Monitoring Oil Spill Impact.

Oil spills from offshore drilling and coastal refineries often cause significant degradation of coastal environments. Early oil detection may prevent losses and speed up recovery if monitoring of the initial oil extent, oil impact, and recovery are in place. Satellite imagery data can provide a cost-effective alternative to expensive airborne imagery or labor intensive field campaigns for monitoring effects of oil spills on wetlands. However, these satellite data may be restricted in their ability to detect and map ecosystem recovery post-spill given their spectral measurement properties and temporal frequency. In this study, we assessed whether spatial and spectral resolution, and other sensor characteristics influence the ability to detect and map vegetation stress and mortality due to oil. We compared how well three satellite multispectral sensors: WorldView2, RapidEye and Landsat EMT+, match the ability of the airborne hyperspectral AVIRIS sensor to map oil-induced vegetation stress, recovery, and mortality after the DeepWater Horizon oil spill in the Gulf of Mexico in 2010. We found that finer spatial resolution (3.5 m) provided better delineation of the oil-impacted wetlands and better detection of vegetation stress along oiled shorelines in saltmarsh wetland ecosystems. As spatial resolution become coarser (3.5 m to 30 m) the ability to accurately detect and map stressed vegetation decreased. Spectral resolution did improve the detection and mapping of oil-impacted wetlands but less strongly than spatial resolution, suggesting that broad-band data may be sufficient to detect and map oil-impacted wetlands. AVIRIS narrow-band data performs better detecting vegetation stress, followed by WorldView2, RapidEye and then Landsat 15 m (pan sharpened) data. Higher quality sensor optics and higher signal-to-noise ratio (SNR) may also improve detection and mapping of oil-impacted wetlands; we found that resampled coarser resolution AVIRIS data with higher SNR performed better than either of the three satellite sensors. The ability to acquire imagery during certain times (midday, low tide, etc.) or a certain date (cloud-free, etc.) is also important in these tidal wetlands; WorldView2 imagery captured at high-tide detected a narrower band of shoreline affected by oil likely because some of the impacted wetland was below the tideline. These results suggest that while multispectral data may be sufficient for detecting the extent of oil-impacted wetlands, high spectral and spatial resolution, high-quality sensor characteristics, and the ability to control time of image acquisition may improve assessment and monitoring of vegetation stress and recovery post oil spills.

Measuring landscape-scale spread and persistence of an invaded submerged plant community from airborne remote sensing.

Processes of spread and patterns of persistence of invasive species affect species and communities in the new environment. Predicting future rates of spread is of great interest for timely management decisions, but this depends on models that rely on understanding the processes of invasion and historic observations of spread and persistence. Unfortunately, the rates of spread and patterns of persistence are difficult to model or directly observe, especially when multiple rates of spread and diverse persistence patterns may be co-occurring over the geographic distribution of the invaded ecosystem. Remote sensing systematically acquires data over large areas at fine spatial and spectral resolutions over multiple time periods that can be used to quantify spread processes and persistence patterns. We used airborne imaging spectroscopy data acquired once a year for 5 years from 2004 to 2008 to map an invaded submerged aquatic vegetation (SAV) community across 2220 km2 of waterways in the Sacramento-San Joaquin River Delta, California, USA, and measured its spread rate and its persistence. Submerged aquatic vegetation covered 13-23 km2 of the waterways (6-11%) every year. Yearly new growth accounted for 40-60% of the SAV area, ~50% of which survived to following year. Spread rates were overall negative and persistence decreased with time. From this dataset, we were able to identify both radial and saltatorial spread of the invaded SAV in the entire extent of the Delta over time. With both decreasing spread rate and persistence, it is possible that over time the invasion of this SAV community could decrease its ecological impact. A landscape-scale approach allows measurements of all invasion fronts and the spatial anisotropies associated with spread processes and persistence patterns, without spatial interpolation, at locations both proximate and distant to the focus of invasion at multiple points in time.

Targeting cytotoxicity and tubulin polymerization by metal-carbene complexes on a purine tautomer platform.

This communication describes the synthesis, structural investigation and tubulin binding of purine rare imino-tautomer based Ag(i) and Hg(ii)-carbene complexes. These complexes exhibit cytotoxicity through tubulin interaction by binding to a site close to the GTP binding site.

Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data.

The British Petroleum Deepwater Horizon Oil Spill in the Gulf of Mexico was the biggest oil spill in US history. To assess the impact of the oil spill on the saltmarsh plant community, we examined Advanced Visible Infrared Imaging Spectrometer (AVIRIS) data flown over Barataria Bay, Louisiana in September 2010 and August 2011. Oil contamination was mapped using oil absorption features in pixel spectra and used to examine impact of oil along the oiled shorelines. Results showed that vegetation stress was restricted to the tidal zone extending 14 m inland from the shoreline in September 2010. Four indexes of plant stress and three indexes of canopy water content all consistently showed that stress was highest in pixels next to the shoreline and decreased with increasing distance from the shoreline. Index values along the oiled shoreline were significantly lower than those along the oil-free shoreline. Regression of index values with respect to distance from oil showed that in 2011, index values were no longer correlated with proximity to oil suggesting that the marsh was on its way to recovery. Change detection between the two dates showed that areas denuded of vegetation after the oil impact experienced varying degrees of re-vegetation in the following year. This recovery was poorest in the first three pixels adjacent to the shoreline. This study illustrates the usefulness of high spatial resolution airborne imaging spectroscopy to map actual locations where oil from the spill reached the shore and then to assess its impacts on the plant community. We demonstrate that post-oiling trends in terms of plant health and mortality could be detected and monitored, including recovery of these saltmarsh meadows one year after the oil spill.

An efficient combinatorial synthesis of allocolchicine analogues via a triple cascade reaction and their evaluation as inhibitors of insulin aggregation.

A controlled cascade: A divergent, diastereoselective and efficient one-pot synthesis of allocolchicinoids via a cascade Suzuki-Michael addition-Carbocyclization sequence is described. The utility of the compounds as possible inhibitors of insulin aggregation is also presented.

Image spectroscopy and stable isotopes elucidate functional dissimilarity between native and nonnative plant species in the aquatic environment.

• Nonnative species may change ecosystem functionality at the expense of native species. Here, we examine the similarity of functional traits of native and nonnative submersed aquatic plants (SAP) in an aquatic ecosystem. • We used field and airborne imaging spectroscopy and isotope ratios of SAP species in the Sacramento-San Joaquin Delta, California (USA) to assess species identification, chlorophyll (Chl) concentration, and differences in photosynthetic efficiency. • Spectral separability between species occurs primarily in the visible and near-infrared spectral regions, which is associated with morphological and physiological differences. Nonnatives had significantly higher Chl, carotene, and anthocyanin concentrations than natives and had significantly higher photochemical reflectance index (PRI) and δ(13) C values. • Results show nonnative SAPs are functionally dissimilar to native SAPs, having wider leaf blades and greater leaf area, dense and evenly distributed vertical canopies, and higher pigment concentrations. Results suggest that nonnatives also use a facultative C(4) -like photosynthetic pathway, allowing efficient photosynthesis in high-light and low-light environments. Differences in plant functionality indicate that nonnative SAPs have a competitive advantage over native SAPs as a result of growth form and greater light-use efficiency that promotes growth under different light conditions, traits affecting system-wide species distributions and community composition.

Evaluation of oxidative stress status following polyherbal formulation therapy in patients of cholelithiasis with choledocholithiasis.

Free radicals produce persistent oxidative stress in biological system and are highly reactive molecules produced as a byproduct of metabolism. A reactive free redical generated in the body reacts with non-radical molecules and results in free radical chain reaction leading to formation of new free radicals. If the defense mechanism of body fails to combat them or they are not properly utilized in the body -these silent killers pose a threat by injuring tissues, their proteins and fat contents. Lipids in the cell membrane undergo degradation to form hydroperoxides((1, 2, 3).) Polyunsaturated fatty acids, PUFA, are especially liable to lipid peroxidation. Lipid hydroperoxids decompose to form a variety of products including malondialdehyde (MDA) which is used as an indicator of oxidative damage of cells and tissues((4).)The present investigations involve the study of oxidative stress in the bile juice from the patients of cholecystitis/cholelithiasis with choledocholithiasis treated by cholecystectomy with choledochotomy (CBD exploration) with T-tube drainage. Results of malondialdehyde status in the bile juice of these patients pre-operatively and following polyherbal formulation therapy from 3(rd) to 10(th) post operative day are discussed.