A colorimetric sensor array based on natural pigments for the discrimination of saccharides

A colorimetric sensor array based on natural pigments was developed to discriminate between various saccharides. Anthocyanins, pH‐sensitive natural pigments, were extracted from fruits and flowers and used as components of the sensor array. Variation in pH, due to the reaction between saccharides and boronic acids, caused obvious colour changes in the natural pigments. Only by observing the difference map with the naked eye could 11 common saccharides be divided into independent individuals. In conjunction with pattern recognition, the sensor array clearly differentiated between sugar and sugar alcohol with highly accuracy and allowed rapid quantification of different concentrations of maltitol and fructose. This sensor array for saccharides is expected to become a promising alternative tool for food monitoring. The link between anthocyanin and saccharide detection opened a new guiding direction for the application of anthocyanins in foods.     

Melatonin Alleviates Drought-Induced Damage of Photosynthetic Apparatus in Maize Seedlings

Russian Journal of Plant Physiology - Melatonin plays an important role in the enhancement of plant tolerance to drought stress. The underlying mechanisms of this melatonin-induced protection of...     

Grazing simplifies soil micro‐food webs and decouples their relationships with ecosystem functions in grasslands

Livestock grazing often alters aboveground and belowground communities of grasslands and their mediated carbon (C) and nitrogen (N) cycling processes at the local scale. Yet, few have examined whether grazing‐induced changes in soil food webs and their ecosystem functions can be extrapolated to a regional scale. We investigated how large herbivore grazing affects soil micro‐food webs (microbes and nematodes) and ecosystem functions (soil C and N mineralization), using paired grazed and ungrazed plots at 10 locations across the Mongolian Plateau. Our results showed that grazing not only affected plant variables (e.g., biomass and C and N concentrations), but also altered soil substrates (e.g., C and N contents) and soil environment (e.g., soil pH and bulk density). Grazing had strong bottom‐up effects on soil micro‐food webs, leading to more pronounced decreases at higher trophic levels (nematodes) than at lower trophic levels (microbes). Structural equation modeling showed that changes in plant biomass and soil environment dominated grazing effects on microbes, while nematodes were mainly influenced by changes in plant biomass and soil C and N contents; the grazing effects, however, differed greatly among functional groups in the soil micro‐food webs. Grazing reduced soil C and N mineralization rates via changes in plant biomass, soil C and N contents, and soil environment across grasslands on the Mongolian Plateau. Spearman's rank correlation analysis also showed that grazing reduced the correlations between functional groups in soil micro‐food webs and then weakened the correlation between soil micro‐food webs and soil C and N mineralization. These results suggest that changes in soil micro‐food webs resulting from livestock grazing are poor predictors of soil C and N processes at regional scale, and that the relationships between soil food webs and ecosystem functions depend on spatial scales and land‐use changes.     

兴隆山国家级自然保护区不同生境的蝴蝶群落结构与种-多度分布

为明确甘肃兴隆山国家级自然保护区内的蝴蝶种类, 以及不同生境的蝴蝶群落结构与种-多度分布的变化情况, 在全部5个林场选取6条样线, 于2015-2018年连续4年采用样线法对保护区的蝴蝶进行调查和采集, 并分析了其多样性指数及种-多度分布。4年共采集蝴蝶标本5,719号, 经鉴定隶属8科69属120种。眼蝶科(3,093号)是保护区的优势类群, 喙蝶科仅采集到1号标本(朴喙蝶, Libythea lepita), 为保护区的稀有种类。其中, 各样线的种数、个体数、多样性指数以及物种丰富度表现为: 样线I最高, 样线IV次之, 说明其生境结构稳定, 环境良好, 适合蝶类生存; 样线III蜜源植物丰富, 各项指数较高; 样线V海拔较高, 各项指数较低; 样线II植物群落结构单一, 各项指数最低。相似性系数分析结果表明: 样线I和VI、III和IV、III和VI均为中等相似; 其余各样线间为中等不相似。区系分析结果表明: 古北种有63种, 占总种数的52.5%; 东洋种2种, 占总种数的1.7%; 广布种55种, 占总种数的45.8%。说明古北种占绝对优势, 且明显高于东洋种, 具有很强的地区代表性。种-多度分布分析结果表明: 样线I和IV呈现出对数正态分布, 模型拟合效果较好; 样线II和VI为非典型的对数级数模型, 符合生态位优先占领假说。说明不同生境以及人为干扰因素与蝶类多样性关系密切, 表现出单一生态系统蝴蝶群落的多样性指数较低, 复杂生态系统其多样性指数较高的特点。     

Meta‐replication,sampling bias,and multi‐scale model selection: A case study on snow leopard (Panthera uncia) in western China

Replicated multiple scale species distribution models (SDMs) have become increasingly important to identify the correct variables determining species distribution and their influences on ecological responses. This study explores multi‐scale habitat relationships of the snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan Plateau of western China. Our primary objectives were to evaluate the degree to which snow leopard habitat relationships, expressed by predictors, scales of response, and magnitude of effects, were consistent across study areas or locally landcape‐specific. We coupled univariate scale optimization and the maximum entropy algorithm to produce multivariate SDMs, inferring the relative suitability for the species by ensembling top performing models. We optimized the SDMs based on average omission rate across the top models and ensembles’ overlap with a simulated reference model. Comparison of SDMs in the two study areas highlighted landscape‐specific responses to limiting factors. These were dependent on the effects of the hydrological network, anthropogenic features, topographic complexity, and the heterogeneity of the landcover patch mosaic. Overall, even accounting for specific local differences, we found general landscape attributes associated with snow leopard ecological requirements, consisting of a positive association with uplands and ridges, aggregated low‐contrast landscapes, and large extents of grassy and herbaceous vegetation. As a means to evaluate the performance of two bias correction methods, we explored their effects on three datasets showing a range of bias intensities. The performance of corrections depends on the bias intensity; however, density kernels offered a reliable correction strategy under all circumstances. This study reveals the multi‐scale response of snow leopards to environmental attributes and confirms the role of meta‐replicated study designs for the identification of spatially varying limiting factors. Furthermore, this study makes important contributions to the ongoing discussion about the best approaches for sampling bias correction.     

模拟氮沉降对长白山岳桦林下草本植物和土壤肥力的短期影响

选取长白山岳桦林中的岳桦-蟹甲草群落（Comm.Betula ermanii-Parasenecio forrestii）、岳桦-藜芦群落（Comm.Betula ermanii-Veratrum nigrum）和岳桦-小叶章群落（Comm.Betula ermanii-Deyeuxia purpurea）开展野外模拟氮沉降实验,采用野外原位模拟实验方法,设置对照（0 kg·hm^-2·a^-1）、低氮（30 kg·hm^-2·a^-1）、中氮（50 kg·hm^-2·a^-1）和高氮（100 kg·hm^-2·a^-1）4个氮处理水平,测定草本植物生长状况和土壤肥力,研究岳桦林下草本层植物和土壤肥力对氮沉降的短期响应。结果显示：（1）岳桦林下草本植物随氮沉降量的增加而加速生长,小叶章对氮沉降的响应较为敏感,藜芦次之,蟹甲草最弱;（2）氮添加造成林下土壤肥力发生变化,有机质含量下降,特别是岳桦-小叶章群落下的土壤有机质含量下降最明显;土壤总氮和速效氮含量增大,岳桦-蟹甲草群落下的土壤总氮和速效氮增加最多;土壤总磷和速效磷含量减小,岳桦-小叶章群落下的土壤总磷和速效磷含量的减少最多。本研究结果表明氮添加在短期内会促进长白山岳桦林下草本植物生长,尤其是小叶章的生长,加快土壤有机质的分解和磷的释放,逐步改变土壤肥力并反馈给植物,促使其进一步变化。     

An Efficient Plant Regeneration System of <i>Hydrangea bretschneideri</i> Dipp via Stem Segments as Explants

Hydrangea bretschneideri Dipp is a highly popular ornamental plant for garden decoration. Genetic engineering technology has been successfully used in many plant species, but it is limited in Hydrangea. Here we established an efficient regeneration system by using stem segments as explants for the first time. In our study, the plant growth regulators (PGRs) were evaluated at the different regeneration processes, including axillary shoots regeneration and root induction. We found that the optimal concentration for axillary buds’ induction was 2.0 mgL⁻¹ 6-BA and 0.5 mgL⁻¹ 1 IAA, its highest induction rate was 70%. Moreover, the highest axillary shoots proliferation coefficient was 10.7 on the Murashige and Skoog (MS) medium with 2.0 mgL⁻¹ 6-benzyladenine (BA), 0.2 mgL⁻¹ indole-3-butyric acid (IBA), and 1.0 mgL⁻¹ gibberellin A3 (GA3). The highest frequency of root induction was 80.0 ± 0.06% by culturing the elongated shoots in 1/2 MS medium containing 0.1 mgL⁻¹ IBA. In summary, our study will provide an effective technology for large-scale propagation and important pathway for promoting the popularization and application of Hydrangea bretschneideri Dipp.