Fine-scale spatial distribution of plants and resources on a sandy soil in the Sahel

Three species, wheat, maize and cotton, were grown in pots and subjected to high (85–100% field capacity, _F), medium (65–85% _F) and low (45–65% _F) soil moisture treatments and high (700 l l^–1) and low (350 l l^–1) CO₂ concentrations. Biomass production, photosynthesis, evapotranspiration and crop water use efficiency were investigated. Results showed that the daily photosynthesis rate was increased more in wheat and cotton at high [CO₂] than in maize. In addition, differences were more substantial at low soil water treatment than at high soil water treatment. The daily leaf transpiration was reduced significantly in the three crops at the high CO₂ concentration. The decrease at low soil water was smaller than at high soil water. Crop biomass production responses showed a pattern similar to photosynthesis, but the CO₂-induced increase was more pronounced in root production than shoot production under all soil water treatments. Low soil water treatment led to more root biomass under high [CO₂] than high soil water treatment. CO₂ enrichment caused a higher leaf water use efficiency (WUE) of three crops and the increase was more significant in low than in high soil water treatment. Crop community WUE was also increased by CO₂ enrichment, but the increase in wheat and cotton was much greater than in maize. We conclude that at least in the short-term, C₃ plants such as wheat and cotton may benefit from CO₂ enrichment especially under water shortage condition.     

Microbial life beneath a high arctic glacier

The debris-rich basal ice layers of a high Arctic glacier were shown to contain metabolically diverse microbes that could be cultured oligotrophically at low temperatures (0.3 to 4 degrees C). These organisms included aerobic chemoheterotrophs and anaerobic nitrate reducers, sulfate reducers, and methanogens. Colonies purified from subglacial samples at 4 degrees C appeared to be predominantly psychrophilic. Aerobic chemoheterotrophs were metabolically active in unfrozen basal sediments when they were cultured at 0.3 degrees C in the dark (to simulate nearly in situ conditions), producing (14)CO(2) from radiolabeled sodium acetate with minimal organic amendment (> or =38 microM C). In contrast, no activity was observed when samples were cultured at subfreezing temperatures (< or =-1.8 degrees C) for 66 days. Electron microscopy of thawed basal ice samples revealed various cell morphologies, including dividing cells. This suggests that the subglacial environment beneath a polythermal glacier provides a viable habitat for life and that microbes may be widespread where the basal ice is temperate and water is present at the base of the glacier and where organic carbon from glacially overridden soils is present. Our observations raise the possibility that in situ microbial production of CO(2) and CH(4) beneath ice masses (e.g., the Northern Hemisphere ice sheets) is an important factor in carbon cycling during glacial periods. Moreover, this terrestrial environment may provide a model for viable habitats for life on Mars, since similar conditions may exist or may have existed in the basal sediments beneath the Martian north polar ice cap.     

Where is positional uncertainty a problem for species distribution modelling?

Species data held in museum and herbaria, survey data and opportunistically observed data are a substantial information resource. A key challenge in using these data is the uncertainty about where an observation is located. This is important when the data are used for species distribution modelling (SDM), because the coordinates are used to extract the environmental variables and thus, positional error may lead to inaccurate estimation of the species–environment relationship. The magnitude of this effect is related to the level of spatial autocorrelation in the environmental variables. Using local spatial association can be relevant because it can lead to the identification of the specific occurrence records that cause the largest drop in SDM accuracy. Therefore, in this study, we tested whether the SDM predictions are more affected by positional uncertainty originating from locations that have lower local spatial association in their predictors. We performed this experiment for Spain and the Netherlands, using simulated datasets derived from well known species distribution models (SDMs). We used the K statistic to quantify the local spatial association in the predictors at each species occurrence location. A probabilistic approach using Monte Carlo simulations was employed to introduce the error in the species locations. The results revealed that positional uncertainty in species occurrence data at locations with low local spatial association in predictors reduced the prediction accuracy of the SDMs. We propose that local spatial association is a way to identify the species occurrence records that require treatment for positional uncertainty. We also developed and present a tool in the R environment to target observations that are likely to create error in the output from SDMs as a result of positional uncertainty.     

Clearance of extractables and leachables from single‐use technologies via ultrafiltration/diafiltration operations

Quantifying the clearance of extractables and leachables (E/L) throughout ultrafiltration/diafiltration (UFDF) operations allows for greater flexibility in the implementation of single‐use technologies in steps upstream of the UFDF process. A proof‐of‐concept study was completed in which the clearance of 7 E/L from single‐use technologies (trimethylsilanol, hexanoic acid, butyrolactone, t‐butyl alcohol, caprolactam, acetonitrile, and benzyl alcohol) in four representative proteins were measured and monitored during the UFDF process using quantitative NMR. This study demonstrated that the defined E/L spiked into a variety of protein solutions can be cleared to <1 ppm by 9 diavolumes from a maximum initial load concentration of 1,000 ppm. However, in some cases a rebound effect was observed in the recovered pool to >1 ppm, which is explained in detail. The overall clearance trend observed for both buffer control and protein‐containing solutions resembled the ideal clearance trend where no apparent interactions were observed between E/L with the protein, UFDF system, or with other defined E/L which may be present in the system. Additionally, the UFDF system is capable of clearing these potential E/L from single‐use technologies below 1 ppm irrespective of initial concentrations in the load (1,000 or 100 ppm), independently from the type of protein. In general, mass recoveries were within ±15% of each spiked compound in protein solutions and their respective buffer controls, suggesting spiked E/L do not interact strongly with protein. By demonstrating the product independent clearance trends of the spiked E/L across UFDF, these results will contribute to the simplification of the E/L toxicology assessment and allow modular manufacturing approach for single‐use technologies in biopharmaceutical manufacturing. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:718–724, 2016     

Glycosaminoglycan origin and structure revealed by multivariate analysis of NMR and CD spectra

Principal component analysis (PCA) is a method of simplifying complex datasets to generate a lower number of parameters, while retaining the essential differences and allowing objective comparison of large numbers of datasets. Glycosaminoglycans (GAGs) are a class of linear sulfated carbohydrates with diverse sequences and consequent complex conformation and structure. Here, PCA is applied to three problems in GAG research: (i) distinguishing origins of heparin preparations, (ii) structural analysis of heparin derivatives, and (iii) classification of chondroitin sulfates (CS). The results revealed the following. (i) PCA of heparin (13)C NMR spectra allowed their origins to be distinguished and structural differences were identified. (ii) Analysis of the information-rich (1)H and (13)C NMR spectra of a series of systematically modified heparin derivatives uncovered underlying properties. These included the presence of interactions between residues, providing evidence that a degree of degeneracy exists in linkage geometry and that a different degree of variability exists for the two types of glycosidic linkage. The relative sensitivity of each position (C or H nucleus) in the disaccharide repeating unit to changes in O-, N-sulfation and N-acetylation was also revealed. (iii) Analysis of the (1)H NMR and CD spectra of a series of CS samples from different origins allowed their structural classification and highlighted the power of employing complementary spectroscopic methods in concert with PCA.