Mass spectrometric and kinetic studies on slow progression of papain-catalyzed polymerization of l-glutamic acid diethyl ester

Papain polymerizes l-glutamic acid diethyl ester (Glu-di-OEt) regioselectively, resulting in the formation of poly (γ-ethyl α-l-glutamic acid) with various degrees of polymerization of less than 13. Reaction temperatures below 20 °C were appropriate for the reaction in terms of suppression of non-enzymatic degradation of Glu-di-OEt and an increase in the peptide yield, while the reaction was preceded by a pronounced induction period. Mass spectrometric analyses of the reaction conducted at 0 °C revealed that the accumulation of the initial dimerization product, l-glutamyl-l-glutamic acid triethyl ester (Glu-Glu-tri-OEt), was limited during the induction period, and that a sequential polymer derived from a further elongation of the dimer was the tetramer, but not the trimer. Kinetic analyses of acyl transfer reactions with Glu-di-OEt and Glu-Glu-tri-OEt as acyl acceptors and Nα-benzoyl-l-arginine ethyl ester as an acyl donor affirmed that Glu-Glu-tri-OEt bound more strongly than Glu-di-OEt both to the S- and S′-subsites of papain. Therefore, what occurred during the initial stage of the polymerization was interpreted as follows: the rate of the papain-catalyzed dimerization of Glu-di-OEt was extremely slow, once Glu-Glu-tri-OEt was initially synthesized it exclusively bound to the active site of papain, and then papain utilized the dimer in polymerization effectively rather than the monomer.     

Relative impacts of environmental variation and evolutionary history on the nestedness and modularity of tree–herbivore networks

Nestedness and modularity are measures of ecological networks whose causative effects are little understood. We analyzed antagonistic plant–herbivore bipartite networks using common gardens in two contrasting environments comprised of aspen trees with differing evolutionary histories of defence against herbivores. These networks were tightly connected owing to a high level of specialization of arthropod herbivores that spend a large proportion of the life cycle on aspen. The gardens were separated by ten degrees of latitude with resultant differences in abiotic conditions. We evaluated network metrics and reported similar connectance between gardens but greater numbers of links per species in the northern common garden. Interaction matrices revealed clear nestedness, indicating subsetting of the bipartite interactions into specialist divisions, in both the environmental and evolutionary aspen groups, although nestedness values were only significant in the northern garden. Variation in plant vulnerability, measured as the frequency of herbivore specialization in the aspen population, was significantly partitioned by environment (common garden) but not by evolutionary origin of the aspens. Significant values of modularity were observed in all network matrices. Trait-matching indicated that growth traits, leaf morphology, and phenolic metabolites affected modular structure in both the garden and evolutionary groups, whereas extra-floral nectaries had little influence. Further examination of module configuration revealed that plant vulnerability explained considerable variance in web structure. The contrasting conditions between the two gardens resulted in bottom-up effects of the environment, which most strongly influenced the overall network architecture, however, the aspen groups with dissimilar evolutionary history also showed contrasting degrees of nestedness and modularity. Our research therefore shows that, while evolution does affect the structure of aspen–herbivore bipartite networks, the role of environmental variations is a dominant constraint.     

Species constancy depends on plot size – a problem for vegetation classification and how it can be solved

Question: While it is well known that species richness depends on plot size, it is not generally recognised that the same must be true for constancy. Accordingly, many authors use varying plot sizes when classifying vegetation based on the comparison of constancies between groups of plots. We ask whether the constancy‐area relationship follows a general rule, how strong the effect of plot sizes is on constancies, and if it is possible to correct constancies for area. Location: For empirical evaluation, we use data from plant communities in the Czech Republic, Sweden and Russia. Methods: To assess the potential influence of differences in plot size on constancies, we develop a mathematical model. Then, we use series of nested plot species richness data from a wide range of community types (herbaceous and forest) to determine the parameters of the derived function and to test how much the shape of the constancy‐area relationship depends on taxa or vegetation types. Results: Generally, the constancy‐area relationship can be described by C (A)=1?(1?C₀)^{(A/A0)^d}, with C being constancy, A area, C₀ known constancy on a specific area A₀, and d a damping parameter accounting for spatial autocorrelation. As predicted by this function, constancies in plant communities always varied from values near 0% to near 100% if plot sizes were changed sufficiently. For the studied vegetation types, a two‐ to fourfold increase in plot size resulted in a change of conventional constancy classes, i.e. an increase of constancy by 20% or more. Conclusions: Vegetation classification, which largely relies on constancy values, irrespective of whether traditional or modern fidelity definitions are used, is strongly prone to distorting scale effects when relevés of different plot sizes are combined in studies. The constancy‐area functions presented allow an approximate transformation of constancies to other plot sizes but are flawed by idiosyncrasies in taxa and vegetation types. Thus, we conclude that the best solution for future surveys is to apply uniform plot sizes within a few a priori delimited formations and to determine diagnostic species only within these formations. Finally, we suggest that more detailed analyses of constancy‐area relationships can contribute to a better understanding of species‐area relationships because the latter are the summation of the first for all species.     

燕山地区访花昆虫多样性及其影响因子

为了解燕山地区访花昆虫的群落结构及与其生境类型、干扰程度、海拔之间的关系, 本文采用样线法和灯诱法于2019年、2020年每年的7-8月对该地区湿地、森林、灌丛、草地、农田5种生境, 不同海拔梯度(0-1,200 m)的访花昆虫进行了采集。共采集访花昆虫1,306头, 隶属7目44科153种, 其中鳞翅目昆虫物种数最多, 半翅目昆虫个体数最多。灌丛生境的访花昆虫多样性最高。在中低海拔200-400 m段, Shannon-Wiener多样性指数、Margalef丰富度指数和Simpson优势度指数均最高。双变量回归结果表明, Shannon-Wiener多样性指数和Margalef丰富度指数分别与最暖季降水量和年降水量显著正相关(P < 0.05)。冗余分析(redundancy analysis)结果表明, 环境因子显著影响访花昆虫多样性, 但不同测度之间存在一定差异。温度和湿度均与Pielou均匀度指数呈正相关, 与Shannon-Wiener多样性指数、Margalef丰富度指数和Simpson优势度指数呈负相关; 弱干扰和中干扰程度对访花昆虫多样性影响最小, 科学管理农牧活动是保护访花昆虫多样性的关键。     

大中微量元素组合对水稻产量和品质影响的灰色综合评判

本文运用灰色系统理论，探讨了大中微量元素组合对水稻产量和品质的影响，并对其进行了灰色关联评判，结果表明复4S1Fe1Cu1和复2S2Fe1Cu2两个组合，对水稻产量和品质影响最为明显，并与田间试验情况一致。     

Field evaluation of heat units for predicting crop residue carbon and nitrogen mineralization

More efficient fertilization practices could conceivably be developed if nutrient availability from manures and crop residues could be accurately predicted under field conditions. Heat units were recently found useful for describing the combined thermal and temporal relationships with papermill sludge C and N mineralization. This study was conducted to describe C and N mineralization of corn (Zea mays L. cv. ‘King 1113’), lupin (Lupinus albus L. cv. ‘ultra’), and potato (Solanum tuberosum L. cv. ‘russet burbank’) residues and to field test the utility of heat units in predicting these processes. Residues of each crop were applied to soil microplots in May, June, and July of 1987. Carbon mineralization was monitored by periodic capture of evolved CO₂ in alkali traps. Nitrogen mineralization-immobilization processes were followed by frequent sampling for KCl extractable inorganic N. Net N mineralization from the potato residue occurred almost immediately after residue application, apparently owing to its relatively low C/N of 15/1. Net N mineralization from the corn and lupin residues began 119, 99, and 317 d after application in the May, June, and July application months, respectively. These respective times represented 2346, 1990, and 2360 degree days after application. Heat units appear to provide a mathematically simple, pragmatic approach for predicting crop residue N mineralization under field climatic conditions.     

关于《一类具时滞的神经网络模型的收敛性》的注记

本文研究了一类具有时滞的神经网络模型