Solid-phase chemical amination of a lipase from Bacillus thermocatenulatus to improve its stabilization via covalent immobilization on highly activated glyoxyl-agarose

In this paper, the stabilization of a lipase from Bacillus thermocatenulatus (BTL2) by a new strategy is described. First, the lipase is selectively adsorbed on hydrophobic supports. Second, the carboxylic residues of the enzyme are modified with ethylenediamine, generating a new enzyme having 4-fold more amino groups than the native enzyme. The chemical amination did not present a significant effect on the enzyme activity and only reduced the enzyme half-life by a 3-4-fold factor in inactivations promoted by heat or organic solvents. Next, the aminated and purified enzyme is desorbed from the support using 0.2% Triton X-100. Then, the aminated enzyme was immobilized on glyoxyl-agarose by multipoint covalent attachment. The immobilized enzyme retained 65% of the starting activity. Because of the lower p K of the new amino groups in the enzyme surface, the immobilization could be performed at pH 9 (while the native enzyme was only immobilized at pH over 10). In fact, the immobilization rate was higher at this pH value for the aminated enzyme than that of the native enzyme at pH 10. The optimal stabilization protocol was the immobilization of aminated BTL2 at pH 9 and the further incubation for 24 h at 25 degrees C and pH 10. This preparation was 5-fold more stable than the optimal BTL2 immobilized on glyoxyl agarose and around 1200-fold more stable than the enzyme immobilized on CNBr and further aminated. The catalytic properties of BTL2 could be greatly modulated by the immobilization protocol. For example, from (R/S)-2- O-butyryl-2-phenylacetic acid, one preparation of BTL2 could be used to produce the S-isomer, while other preparation produced the R-isomer.     

Predicting future distributions of mountain plants under climate change: does dispersal capacity matter?

Many studies have investigated the potential impacts of climate change on the distribution of plant species, but few have attempted to constrain projections through plant dispersal limitations. Instead, most studies published so far have simplified dispersal as either unlimited or null. However, depending on the dispersal capacity of a species, landscape fragmentation, and the rate of climatic change, these assumptions can lead to serious over- or underestimation of the future distribution of plant species.
To quantify the discrepancies between simulations accounting for dispersal or not, we carried out projections of future distribution over the 21st century for 287 mountain plant species in a study area of the western Swiss Alps. For each species, simulations were run for four dispersal scenarios (unlimited dispersal, no dispersal, realistic dispersal, and realistic dispersal with long-distance dispersal events) and under four climate change scenarios.
Although simulations accounting for realistic dispersal limitations did significantly differ from those considering dispersal as unlimited or null in terms of projected future distribution, the unlimited dispersal simplification did nevertheless provide good approximations for species extinctions under more moderate climate change scenarios. Overall, simulations accounting for dispersal limitations produced, for our mountainous study area, results that were significantly closer to unlimited dispersal than to no dispersal. Finally, analysis of the temporal pattern of species extinctions over the entire 21st century revealed that important species extinctions for our study area might not occur before the 2080–2100 period, due to the possibility of a large number of species shifting their distribution to higher elevation.     

Land use improves spatial predictions of mountain plant abundance but not presence‐absence

Question: Does a land‐use variable improve spatial predictions of plant species presence‐absence and abundance models at the regional scale in a mountain landscape? Location: Western Swiss Alps. Methods: Presence‐absence generalized linear models (GLM) and abundance ordinal logistic regression models (LRM) were fitted to data on 78 mountain plant species, with topo‐climatic and/or land‐use variables available at a 25‐m resolution. The additional contribution of land use when added to topo‐climatic models was evaluated by: (1) assessing the changes in model fit and (2) predictive power, (3) partitioning the deviance respectively explained by the topo‐climatic variables and the land‐use variable through variation partitioning, and (5) comparing spatial projections. Results: Land use significantly improved the fit of presence‐absence models but not their predictive power. In contrast, land use significantly improved both the fit and predictive power of abundance models. Variation partitioning also showed that the individual contribution of land use to the deviance explained by presence‐absence models was, on average, weak for both GLM and LRM (3.7% and 4.5%, respectively), but changes in spatial projections could nevertheless be important for some species. Conclusions: In this mountain area and at our regional scale, land use is important for predicting abundance, but not presence‐absence. The importance of adding land‐use information depends on the species considered. Even without a marked effect on model fit and predictive performance, adding land use can affect spatial projections of both presence‐absence and abundance models.     

Enhancement of Novozym-435 catalytic properties by physical or chemical modification

Physical (ionic exchange of ionic polymers) or chemical (aminoethylamidation, succinylation, hydroxyethylamidation) modifications of Novozym 435 have been performed and the resulting biocatalysts have been assayed in diverse reactions. The coating of the immobilized enzyme with dextran-sulphate via ionic exchange permitted to increase the asymmetric factor of the biocatalyst from A = 13 (ee = 83%) to 24 (ee > 90%) in the hydrolysis of 3-phenylglutaric acid dimethyl diester, producing the (R)-monomethyl ester. The chemical succinylation of Novozym 435 permitted to enhance the biocatalyst enantiospecificity from E = 1 to 13 in the hydrolysis of (±)-mandelic acid methyl ester. In the hydrolysis of (±)-2-O-butyryl-2-phenylacetic acid, the enantiospecificity of Novozym 435 was very high towards the S-enantiomer (E > 100) but it was inverted after the chemical hydroxyethylamidation of the immobilized enzyme (E = 6.6 towards R-enantiomer).Thus, these simple protocols seem to be a very powerful tool to generate a library of biocatalysts from Novozym 435 with very different catalytic properties.     

Immobilization–stabilization of the lipase from Thermomyces lanuginosus: Critical role of chemical amination

This paper describes the immobilization and stabilization of the lipase from Thermomyces lanuginosus (TLL) on glyoxyl agarose. Enzymes attach to this support only by the reaction between several aldehyde groups of the support and several Lys residues on the external surface of the enzyme molecules at pH 10. However, this standard immobilization procedure is unsuitable for TLL lipase due to the low stability of TLL at pH 10 and its low content on Lys groups that makes that the immobilization process was quite slow. The chemical amination of TLL, after reversible immobilization on hydrophobic supports, has been shown to be a simple and efficient way to improve the multipoint covalent attachment of this enzyme. The modification enriches the enzyme surface in primary amino groups with low pKb, thus allowing the immobilization of the enzyme at lower pH values. The aminated enzyme was rapidly immobilized at pH 9 and 10, with activities recovery of approximately 70%. The immobilization of the chemically modified enzyme improved its stability by 5-fold when compared to the non-modified enzyme during thermal inactivation and by hundreds of times when the enzyme was inactivated in the presence of organic solvents, being both glyoxyl preparations more stable than the enzyme immobilized on bromocyanogen.     

Importance of abiotic stress as a range-limit determinant for European plants: insights from species responses to climatic gradients

Aim We examined whether species occurrences are primarily limited by physiological tolerance in the abiotically more stressful end of climatic gradients (the asymmetric abiotic stress limitation (AASL) hypothesis) and the geographical predictions of this hypothesis: abiotic stress mainly determines upper‐latitudinal and upper‐altitudinal species range limits, and the importance of abiotic stress for these range limits increases the further northwards and upwards a species occurs. Location Europe and the Swiss Alps. Methods The AASL hypothesis predicts that species have skewed responses to climatic gradients, with a steep decline towards the more stressful conditions. Based on presence–absence data we examined the shape of plant species responses (measured as probability of occurrence) along three climatic gradients across latitudes in Europe (1577 species) and altitudes in the Swiss Alps (284 species) using Huisman–Olff–Fresco, generalized linear and generalized additive models. Results We found that almost half of the species from Europe and one‐third from the Swiss Alps showed responses consistent with the predictions of the AASL hypothesis. Cold temperatures and a short growing season seemed to determine the upper‐latitudinal and upper‐altitudinal range limits of up to one‐third of the species, while drought provided an important constraint at lower‐latitudinal range limits for up to one‐fifth of the species. We found a biome‐dependent influence of abiotic stress and no clear support for abiotic stress as a stronger upper range‐limit determinant for species with higher latitudinal and altitudinal distributions. However, the overall influence of climate as a range‐limit determinant increased with latitude. Main conclusions Our results support the AASL hypothesis for almost half of the studied species, and suggest that temperature‐related stress controls the upper‐latitudinal and upper‐altitudinal range limits of a large proportion of these species, while other factors including drought stress may be important at the lower range limits.     

Reconstructing geographical parthenogenesis: effects of niche differentiation and reproductive mode on Holocene range expansion of an alpine plant

Asexual taxa often have larger ranges than their sexual progenitors, particularly in areas affected by Pleistocene glaciations. The reasons given for this ‘geographical parthenogenesis’ are contentious, with expansion of the ecological niche or colonisation advantages of uniparental reproduction assumed most important in case of plants. Here, we parameterized a spread model for the alpine buttercup Ranunculus kuepferi and reconstructed the joint Holocene range expansion of its sexual and apomictic cytotype across the European Alps under different simulation settings. We found that, rather than niche broadening or a higher migration rate, a shift of the apomict's niche towards colder conditions per se was crucial as it facilitated overcoming of topographical barriers, a factor likely relevant for many alpine apomicts. More generally, our simulations suggest potentially strong interacting effects of niche differentiation and reproductive modes on range formation of related sexual and asexual taxa arising from their differential sensitivity to minority cytotype disadvantage.     

Sensitivity of predictive species distribution models to change in grain size

Predictive species distribution modelling (SDM) has become an essential tool in biodiversity conservation and management. The choice of grain size (resolution) of environmental layers used in modelling is one important factor that may affect predictions. We applied 10 distinct modelling techniques to presence-only data for 50 species in five different regions, to test whether: (1) a 10-fold coarsening of resolution affects predictive performance of SDMs, and (2) any observed effects are dependent on the type of region, modelling technique, or species considered. Results show that a 10 times change in grain size does not severely affect predictions from species distribution models. The overall trend is towards degradation of model performance, but improvement can also be observed. Changing grain size does not equally affect models across regions, techniques, and species types. The strongest effect is on regions and species types, with tree species in the data sets (regions) with highest locational accuracy being most affected. Changing grain size had little influence on the ranking of techniques: boosted regression trees remain best at both resolutions. The number of occurrences used for model training had an important effect, with larger sample sizes resulting in better models, which tended to be more sensitive to grain. Effect of grain change was only noticeable for models reaching sufficient performance and/or with initial data that have an intrinsic error smaller than the coarser grain size.