底栖生物影响下的潮滩微地貌演化数值模拟

潮滩是海岸带湿地的主要类型之一,其中分布的底栖生物对生态环境具有重要的调节作用。潮滩底栖微藻、泥沙与水动力之间存在相互作用,影响潮滩微地貌形态,明晰底栖生物对潮滩微地貌的演化机制至关重要。以黄河三角洲潮滩湿地为研究区,通过构建潮滩微地貌动力模型,探究底栖生物对微地貌格局演化的作用机制,分析底栖生物对微地貌系统稳定性的影响。结果表明(1)底栖微藻生长与泥沙扩散、水流再分配过程交互作用驱动下,潮滩上可形成底栖微藻覆盖的高丘与积水洼地交替分布的规则性微地貌斑图;(2)微地貌斑图的形成提高了潮滩生态系统初级生产力和泥沙淤积高度;(3)底栖微藻与泥沙、水流的交互作用使得潮滩微地貌系统对侵蚀扰动呈现非线性响应行为,系统存在临界点,且在一定侵蚀率范围内存在双稳态;(4)黄河口泥螺入侵使得微地貌系统抵抗侵蚀扰动能力减小,且系统稳定性随泥螺生物量的增加而降低。     

中国花楸属植物的分布及研究现状

花楸属(Sorbus L.)植物冠形多态、花色秀美、果实缤纷、四季叶色各异，具有很高的园艺观赏价值，但因属下种间杂交、多倍化和无融合生殖的存在，所以花楸属也是分类学上比较困难的一个类群。该研究通过细致整理和分析国家标本资源库和全球数字化植物标本数据库中花楸属植物标本信息，了解中国花楸属物种采集位置和野生种质资源的分布中心，构建中国花楸属植物标本数据库，为全国第一次林草种质资源的普查与收集提供参考；在明晰花楸属植物资源分布位置和生境的基础上，发现中国花楸属植物资源居世界之首且花楸属物种多分布在高海拔区域，尤其是在中国西南部的山区，分布有一半以上的中国花楸属物种，在该区域花楸属物种多种倍性并存、杂交频繁发生。然而，这是否为该属植物物种多样性丰富的关键因素，把高海拔分布的花楸属物种引种到低海拔区域能否适应以及如何适应低海拔的夏季高温尚不清楚。基于此，作者就自己的专业领域进一步检索了花楸属植物在形态分类与系统发育、适应性进化和保护遗传学、植物资源利用等方面的研究现状，梳理出花楸属植物目前研究尚未解决的问题，并进一步指出未来研究需重点关注的方向。建议未来的研究重点关注以下问题：(1)在坚实的系统...     

中国南海北部不同岛屿植被与土壤的耦合协调发展度

植被和土壤是陆地生态系统两个重要的组成部分,二者相互影响相互促进,探明两者的耦合协调关系是生态恢复与重建的顺利实施的关键。基于中国南海北部大庙墩岛、涠洲岛、大汉三墩岛、甘蔗岛和蜈支洲岛等个海岛的典型植被群落植被土壤的全面调查和取样分析,建立10个植被因子和14个土壤因子的2级层次指标体系,采用层析分析法确定各因子的权重,构建5个海岛植被土壤耦合度和耦合协调度模型。结果表明,不同岛屿的植被土壤耦合度和耦合协调度模型并不完全对应,植被与土壤的综合指数在不同岛屿中也不完全一致,甘蔗岛的植被效应和大汉三墩岛的土壤效应最佳。中国南海北部5个岛屿的植被土壤耦合协调状况较好,均处于初、中级协调发展状态,且除甘蔗岛外处于植被土壤同步型。总的来说,由于岛屿远离内陆,人类干扰相对较小,在植被土壤长期的演替过程中,中国南海北部岛屿植被土壤耦合协调较好,在其恢复与生态重建时要注重提高植物多样性、抚育水平和土壤管理水平。     

An Optimized Proteomics Approach Reveals Novel Alternative Proteins in Mouse Liver Development

Alternative ORFs (AltORFs) are unannotated sequences in genome that encode novel peptides or proteins named alternative proteins (AltProts). Although ribosome profiling and bioinformatics predict a large number of AltProts, mass spectrometry as the only direct way of identification is hampered by the short lengths and relative low abundance of AltProts. There is an urgent need for improvement of mass spectrometry methodologies for AltProt identification. Here, we report an approach based on size-exclusion chromatography for simultaneous enrichment and fractionation of AltProts from complex proteome. This method greatly simplifies the variance of AltProts discovery by enriching small proteins smaller than 40 kDa. In a systematic comparison between 10 methods, the approach we reported enabled the discovery of more AltProts with overall higher intensities, with less cost of time and effort compared to other workflows. We applied this approach to identify 89 novel AltProts from mouse liver, 39 of which were differentially expressed between embryonic and adult mice. During embryonic development, the upregulated AltProts were mainly involved in biological pathways on RNA splicing and processing, whereas the AltProts involved in metabolisms were more active in adult livers. Our study not only provides an effective approach for identifying AltProts but also novel AltProts that are potentially important in developmental biology.     

Conformity in mate choice,the overlooked social component of animal and human culture

Although conformity as a major driver for human cultural evolution is a well-accepted and intensely studied phenomenon, its importance for non-human animal culture has been largely overlooked until recently. This limited for decades the possibility of studying the roots of human culture. Here, we provide a historical review of the study of conformity in both humans and non-human animals. We identify gaps in knowledge and propose an evolutionary route towards the sophisticated cultural processes that characterize humanity. A landmark in the study of conformity is Solomon Asch's famous experiment on humans in 1955. By contrast, interest in conformity among evolutionary biologists has only become salient since the turn of the new millennium. A striking result of our review is that, although studies of conformity have examined many biological contexts, only one looked at mate choice. This is surprising because mate choice is probably the only context in which conformity has self-reinforcing advantages across generations. Within a metapopulation, i.e. a group of subpopulations connected by dispersing individuals, dispersers able to conform to the local preference for a given type of mate have a strong and multigenerational fitness advantage. This is because once females within one subpopulation locally show a bias for one type of males, immigrant females who do not conform to the local trend have sons, grandsons, etc. of the non-preferred phenotype, which negatively and cumulatively affects fitness over generations in a process reminiscent of the Fisher runaway process. This led us to suggest a sex-driven origin of conformity, indicating a possible evolutionary route towards animal and human culture that is rooted in the basic, and thus ancient, social constraints acting on mating preferences within a metapopulation. In a generic model, we show that dispersal among subpopulations within a metapopulation can effectively maintain independent Fisher runaway processes within subpopulations, while favouring the evolution of social learning and conformity at the metapopulation scale; both being essential for the evolution of long-lasting local traditions. The proposed evolutionary route to social learning and conformity casts surprising light on one of the major processes that much later participated in making us human. We further highlight several research avenues to define the spectrum of conformity better, and to account for its complexity. Future studies of conformity should incorporate experimental manipulation of group majority. We also encourage the study of potential links between conformity and mate copying, animal aggregations, and collective actions. Moreover, validation of the sex-driven origin of conformity will rest on the capacity of human and evolutionary sciences to investigate jointly the origin of social learning and conformity. This constitutes a stimulating common agenda and militates for a rapprochement between these two currently largely independent research areas.     

Membrane inlet—ion mobility spectrometry with automatic spectra evaluation as online monitoring tool for the process control of microalgae cultivation

The cultivation of algae either in open raceway ponds or in closed bioreactors could allow the renewable production of biomass for food, pharmaceutical, cosmetic, or chemical industries. Optimal cultivation conditions are however required to ensure that the production of these compounds is both efficient and economical. Therefore, high-frequency analytical measurements are required to allow timely process control and to detect possible disturbances during algae growth. Such analytical methods are only available to a limited extent. Therefore, we introduced a method for monitoring algae release volatile organic compounds (VOCs) in the headspace above a bioreactor in real time. This method is based on ion mobility spectrometry (IMS) in combination with a membrane inlet (MI). The unique feature of IMS is that complete spectra are detected in real time instead of sum signals. These spectral patterns produced in the ion mobility spectrum were evaluated automatically via principal component analysis (PCA). The detected peak patterns are characteristic for the respective algae culture; allow the assignment of the individual growth phases and reflect the influence of experimental parameters. These results allow for the first time a continuous monitoring of the algae cultivation and thus an early detection of possible disturbances in the biotechnological process.     

Smart process development: Application of machine-learning and integrated process modeling for inclusion body purification processes

The development of a biopharmaceutical production process usually occurs sequentially, and tedious optimization of each individual unit operation is very time-consuming. Here, the conditions established as optimal for one-step serve as input for the following step. Yet, this strategy does not consider potential interactions between a priori distant process steps and therefore cannot guarantee for optimal overall process performance. To overcome these limitations, we established a smart approach to develop and utilize integrated process models using machine learning techniques and genetic algorithms. We evaluated the application of the data-driven models to explore potential efficiency increases and compared them to a conventional development approach for one of our development products. First, we developed a data-driven integrated process model using gradient boosting machines and Gaussian processes as machine learning techniques and a genetic algorithm as recommendation engine for two downstream unit operations, namely solubilization and refolding. Through projection of the results into our large-scale facility, we predicted a twofold increase in productivity. Second, we extended the model to a three-step model by including the capture chromatography. Here, depending on the selected baseline-process chosen for comparison, we obtained between 50% and 100% increase in productivity. These data show the successful application of machine learning techniques and optimization algorithms for downstream process development. Finally, our results highlight the importance of considering integrated process models for the whole process chain, including all unit operations.     

Algal crust formation in the inland dune area,Laarder Wasmeer,the Netherlands

The aim of this study is to acquire insight in the initial vegetation development on active drifting sands in relation to geomorphological processes. For this purpose the algal vegetation and surface dynamics were monitored on a sand hill with active drifting sand, and on a bare slope within a terrain covered with Polytrichum piliferum located in the Laarder Wasmeer (The Netherlands).There is a successional development from an algal community dominated by the cyanobacterium Oscillatoria spp., through the crust in which initially the green alga Klebsormidium and later the cyanobacterium Synechococcus predominates, eventually succeeded by the green alga Zygogonium ericetorum. In this phase the sand is stabilized. The areal extent of algal crusts on the active drifting sand area is greatest during the winter, contrastingly highest biomass values are found during the summer and autumn in mature Zygogonium crusts.Substrate instability due to the action of wind clearly limits algal growth and vegetational development on the sand hill. The algal crust seldom reaches the stage of maturity. Near-flat ground is more easily stabilized. Unlike the algae found in coastal dune area and the initial pioneers in the Laarder Wasmeer area, the Zygogonium crust is water repellent when dry. Consequently increasing surface stability by algal crust development is accompanied by higher surface runoff on sloping areas.     

Production of mouse monoclonal antibodies using a continuous cell culture fermenter and protein G affinity chromatography

The production of anti--fetoprotein monoclonal antibodies for diagnostic use was carried out in a stirred tank fermenter equipped with a double membrane stirrer for bubble free aeration and continuous medium perfusion. A serum-free medium supplemented with 4 mM L-glutamine and 2.0 g/l glucose with a protein content of only 780 g/ml was used for the production process. The harvested antibodies were concentrated 50-fold using a tangential ultrafiltration system and were then purified in a one step purification process by protein G affinity chromatography. The purity of the final product (90%) was controlled by SDS-polyacrylamide gel electrophoresis, gel exclusion chromatography and isoelectric focussing. For further quality controls of the product the immunoglobulin subclass and the isoelectric point were determined and the specificity of the purified mAb was tested by RIA using¹²⁵I labelled -fetoprotein.1.87 g of purified monoclonal antibodies were produced (90% purity) within 2 weeks. It was found that the use of this type of stirred tank fermenter combined with a one step purification process using protein G affinity chromatography represents a suitable method for the fast production of medium scale quantities (500 mg–5 g) of monoclonal antibodies for diagnostic use.Abbreviations AFP -Fetoprotein - BSA bovine serum albumine - FCS Fetal calf serum - HRP horseradish peroxidase - OPD o-phenylenediamine dihydrochloride - I.P. isoelectric point - IEF isoelectric focussing - PBS Phosphate buffered saline     

植物叶发育调控机理研究的进展

在植物的营养生长阶段,叶原基从植物地上部分顶端分生组织的周边区形成,在一系列细胞分裂和分化程序的指导下,最终发育成叶。近年来,通过遗传学和分子生物学研究已经鉴定和克隆了一批参与叶发育调控的关键基因,植物激素在叶原基的诱导和叶形态建成中也起十分重要的作用。目前这个领域的主要研究工作是鉴定调控叶发育的新基因并且解释叶调控基因之间的相互作用,同时了解基因调控和植物激素作用之间的关系。