Epidemiological concepts and strategies for parasite control: What changes are likely to occur?

Likely future trends in epidemiology and control strategies for parasite control are identified from a review of recent literature. Recent developments in climatic matching and in mathematical modelling of both underlying population mechanisms and of sources of spatial, temporal and genetic heterogeneity are reviewed.Future control strategies are considered likely to involve greater reliance on host resistance, more selective treatment regimes and use of monitoring and computer modelling. Biotechnology is expected to provide dead vaccines which will in some cases enhance natural immunity and others, when novel antigens are used, may be additive to host resistance.Developments in expert systems are expected to facilitate the disseminatiuon of specialist expertise.     

A General Scheme to Predict Partner Control Mechanisms in Pairwise Cooperative Interactions Between Unrelated Individuals

Recent years have seen an explosion in the diversity of partner control mechanisms hypothesised to stabilise cooperative behaviour among unrelated individuals. Game theory suggests numerous strategies, each with specific decision rules that allow cooperators to control a non‐contributing partner. This diversity of hypothetical strategies seems likely to reflect diversity in the types of intraspecific cooperation and interspecific mutualism that exist in nature. It is therefore important to provide a framework that explains similarities and differences between the various hypothetical strategies and that predicts how key parameters that describe the natural history of natural systems favour different control mechanisms. We develop a novel unifying framework for pairwise interactions between unrelated individuals, in which we link specific control mechanisms to specific game structures. The latter are defined by unique combinations of the states of five parameters that describe investment, aspects of the payoff matrix, the number of interactions and partner choice. We find that specific control mechanisms potentially have utility in a limited number of game structures; conversely, each game structure may typically offer a few competing control mechanisms. Our framework offers theoreticians specific problems that await mathematical exploration, while at the same time offering empiricists guidelines for evaluating the game structure and corresponding control mechanisms in their systems.     

Approaches to Quality Risk Management When Using Single-Use Systems in the Manufacture of Biologics

Biologics manufacturing technology has made great progress in the last decade. One of the most promising new technologies is the single-use system, which has improved the efficiency of biologics manufacturing processes. To ensure safety of biologics when employing such single-use systems in the manufacturing process, various issues need to be considered including possible extractables/leachables and particles arising from the components used in single-use systems. Japanese pharmaceutical manufacturers, together with single-use suppliers, members of the academia and regulatory authorities have discussed the risks of using single-use systems and established control strategies for the quality assurance of biologics. In this study, we describe approaches for quality risk management when employing single-use systems in the manufacturing of biologics. We consider the potential impact of impurities related to single-use components on drug safety and the potential impact of the single-use system on other critical quality attributes as well as the stable supply of biologics. We also suggest a risk-mitigating strategy combining multiple control methods which includes the selection of appropriate single-use components, their inspections upon receipt and before releasing for use and qualification of single-use systems. Communication between suppliers of single-use systems and the users, as well as change controls in the facilities both of suppliers and users, are also important in risk-mitigating strategies. Implementing these control strategies can mitigate the risks attributed to the use of single-use systems. This study will be useful in promoting the development of biologics as well as in ensuring their safety, quality and stable supply.KEY WORDS: biologics, manufacturing technology, quality risk management, regulatory science, single-use system     

The analysis of distributed control and information processing in adaptive systems: a biologically motivated approach.

Biological systems have evolved hierarchical, distributed control structures that greatly enhance their adaptability. Two important determinants of biological adaptability considered here are: (i) the pattern of distribution of self-control capabilities; (ii) the degree of programmability of information processing. In this paper we model organizations as goal-oriented, adaptive systems, possessing properties similar to those of biological systems. We use the notion of implicit control (defined as the capability of self-control that is embedded in a system's own dynamics) in the analysis of the impact of specific patterns of distribution of control and information processing on the adaptability of organizations. A principle of design of organizational information systems, that captures important aspects of adaptability-preserving strategies of information processing in biological systems, is stated in terms of the implicit control concept.     

Use of baculoviruses as biological insecticides

Naturally occurring baculoviruses can be used to control a wide range of insect pests. Most baculoviruses are used as biopesticides, that is, they are sprayed onto high-density pest populations in a manner akin to the use of synthetic chemical pesticides. However, other strategies that use the biological features of the viruses are also possible and should increase as we expand our knowledge of baculovirus ecology. In order to develop a baculovirus control program, several areas need to be studied before progressing to large scale field studies and commercialization. These range from laboratory efficacy testing and the development of production systems to detailed study of pest behavior and the development of appropriate application strategies.     

Dynamic control in metabolic engineering: Theories,tools, and applications

Metabolic engineering has allowed the production of a diverse number of valuable chemicals using microbial organisms. Many biological challenges for improving bio-production exist which limit performance and slow the commercialization of metabolically engineered systems. Dynamic metabolic engineering is a rapidly developing field that seeks to address these challenges through the design of genetically encoded metabolic control systems which allow cells to autonomously adjust their flux in response to their external and internal metabolic state. This review first discusses theoretical works which provide mechanistic insights and design choices for dynamic control systems including two-stage, continuous, and population behavior control strategies. Next, we summarize molecular mechanisms for various sensors and actuators which enable dynamic metabolic control in microbial systems. Finally, important applications of dynamic control to the production of several metabolite products are highlighted, including fatty acids, aromatics, and terpene compounds. Altogether, this review provides a comprehensive overview of the progress, advances, and prospects in the design of dynamic control systems for improved titer, rate, and yield metrics in metabolic engineering.     

遗传不育技术在蚊媒疾病防控中的应用

疟疾、登革热等重大传染性蚊媒疾病严重危害人类健康,且目前缺乏有效的药物和疫苗,防治埃及伊蚊、冈比亚按蚊等媒介昆虫是控制和消除这些疾病的有效手段。化学杀虫剂的大规模使用在一定程度上控制了疾病的传播,但其抗药性和环境污染等问题也随之而来。分子生物学的飞速发展为昆虫不育技术(SIT)的更新及害虫防治提供了新的策略,由此发展起来的以释放携带显性致死基因昆虫(RIDL)为代表的一系列遗传不育技术为蚊虫种群防控提供了更加有效的选择。本文概述了遗传技术在蚊虫防控中的应用进展,包括蚊虫遗传防治的历史和策略,阐述了RIDL技术体系的原理,同时介绍了相关遗传控制品系和已经开展的田间释放研究,展示了遗传修饰不育技术在蚊媒疾病防治中的巨大潜力。     

用生态工程技术控制农村非点源水污染

非点源污染的本质是农村生态系统的严重失调,生态工程技术是进行流域生态修复,强化物质循环的有效方法,非点源污染的治理策略有控制径流污染和控制源头污染两个方面。本文介绍了多水塘系统,植被缓冲带,湿地系统,生态农业、坡面生态工程和污染物生态处理6种生态治理技术,它们的有机结合可形成控制非点源污染的流域生态工程,执行时,应该因地制宜,还要加强资金、管理和教育的投入。     

The Strategies of Behavioral Control in a Coelenterate

Although the cellular substrates of behavioral coordinationare uncertain in the hydroid Tubularia, much is known aboutthe strategies of behavioral control. The picture which emergesis that of an animal with diffusely distributed sites capableof initiating spontaneous activity, regional coordination ofpotential pacemaker loci to form pacemaker systems, and a loosehierarchical organization of pacemaker systems. At least onepacemaker system shows a short term increase in excitabilityand a longer duration depression of excitability following firing.The short-term excitability increase gives a tendency to firein bursts, the long-term depression acts as an intrinsic inhibitoryfeedback to terminate bursts and to control output frequency.All the known interactions between pacemaker systems are excitatory.Exogenous stimuli can excite a conducting system which inhibitsmost of the pacemaker systems, and one pacemaker system specificallyinhibits one set of muscles.     

Pollination control technologies for hybrid breeding

Efforts in hybrid breeding have made this technology one of the main factors contributing to the substantial global rise in agricultural output over the last few decades. For hybrid breeding, an efficient pollination control system is necessary to avoid the unwanted self-pollination or sib-pollination of the female parental line. This review will provide a historical overview of pollination control systems and their use in hybrid crop breeding. We outline the prerequisites for commercial hybrid breeding and summarize the most important non-biological and biological technologies. Our main focus is on hybrid systems that are based on genetically engineered plants. We describe their suitability for pollination control, propagation of the male-sterile crossing partner, fertility restoration and mixed planting. Additionally, we report on the latest findings in the development of inducible sterility systems and various technologies that enable pollination control via metabolic engineering. We discuss the pros and cons of the different pollination control strategies.     

Exploiting plug-and-play synthetic biology for drug discovery and production in microorganisms

One of the most promising applications of synthetic biology is the biosynthesis of new drugs from secondary metabolites. Here, we survey a wide range of strategies that control the activity of biosynthetic modules in the cell in space and time, and illustrate how these strategies can be used to design efficient cellular synthetic production systems. Re-engineered versions of secondary metabolite biosynthetic pathways identified from any genomic sequence can then be inserted into these systems in a plug-and-play fashion.     

Lights on and action! Controlling microbial gene expression by light

Light-mediated control of gene expression and thus of any protein function and metabolic process in living microbes is a rapidly developing field of research in the areas of functional genomics, systems biology, and biotechnology. The unique physical properties of the environmental factor light allow for an independent photocontrol of various microbial processes in a noninvasive and spatiotemporal fashion. This mini review describes recently developed strategies to generate photo-sensitive expression systems in bacteria and yeast. Naturally occurring and artificial photoswitches consisting of light-sensitive input domains derived from different photoreceptors and regulatory output domains are presented and individual properties of light-controlled expression systems are discussed.     

CRISPR_Cas systems for fungal research

Genome-editing CRISPR-Cas systems, using Cas9 and Cas12a endonucleases, have improved our ability to precisely edit genomes and control gene expression. We summarize here the knowledge gained from using CRISPR-Cas9 and CRISPR-Cas12a in fungal research. Also discussed are strategies developed for limiting the occurrences of off-target mutations caused by CRISPR-Cas genome editing.     

Bioeconomic management of invasive vector-borne diseases

Invasive insects, arthropods, and other invertebrates are of concern due to the role some play in introducing and transmitting pathogens via a pathogen–vector relationship. Indeed, vector-borne diseases represent a significant portion of emerging diseases. We compare and contrast three strategic approaches to managing a vector-borne pathogen: conventional strategies based on disease ecology without regard to economic tradeoffs and cost-effective strategies based on a bioeconomic framework. Conventional strategies entail managing the vector population below a threshold value based on R ₀—the basic reproductive ratio of the pathogen, which measures a pathogen’s ability to invade uninfected systems. This does not account for post-infection dynamics, nor does it balance ecological and economic tradeoffs. Thresholds take on a more profound role under a bioeconomic paradigm: rather than unilaterally determining vector control choices, thresholds inform control choices and are influenced by them. Simulation results show cost-effective strategies can lower overall program costs and may be less sensitive to parameter estimation.     

Optimal population stabilization and control using the Leslie matrix model

We consider the problem of optimal stabilization and control of populations which follow the Leslie model dynamics, within state space and control systems theory and methodology. Various types of culling strategies are formulated and introduced into the Leslie model as control inputs, and their effect on global asymptotic stability is investigated. Our new approach provides answers to several unexplored problems. We show that in general it is possible to achieve a desired stable equilibrium population level, through the design of a class ofshifted-proportional stabilizing culling policies. Further, we formulate general non-linear constrained opitmization problems, for obtaining the cost-optimal policy among this generally infinite class of such stabilizing policies. The theoretical findings are illustrated through the solution of the problem over an infinite planning horizon for a numerical example. A comparative study of the costs and dynamic effects of various culling strategies also supports the mathematical results.     

仅基于RNA元件构建可诱导哺乳动物细胞基因表达的调控系统

大量的临床前和临床研究结果已表明基因治疗是理想的疾病治疗手段,然而如何实现治疗基因表达的精确调控仍然是研究人员面临的主要挑战。目前临床前研究常用的基因调控系统多基于控制转录,对反式转录激活因子和专门启动子元件的依赖限制了该系统的临床应用。最近,仅采用RNA元件构建的几种基因表达调控系统得到开发,其作用机制为核酶介导的RNA自我切割、RNA干扰、mRNA翻译启动或终止控制等。该类系统的调控活性由小分子配体反式控制,诱导基因表达的变化幅度可观,反应快速,在哺乳动物体内外均可实现。该系统结构模块化,调控活性可调节,可以克服现有转录调节系统的一些应用局限,对将来基因治疗的临床应用具有重要意义。     

Innovation at the intersection of synthetic and systems biology

The promises of modern biotechnology hinge upon the hope that we can understand microscopic cellular complexity and in doing so create novel function. In this regard, the fields of systems and synthetic biology are important for accelerating both our understanding of biological systems and our ability to quantitatively engineer cells. At the nexus of these two fields is a unique synergy that can help attain these goals. Thus, the next greatest advances in biology and biotechnology are arising at the intersection of the top-down systems approach and the bottom-up synthetic approach. Collectively, these developments enable the precise control of cellular state for systems studies and the discovery of novel parts, control strategies, and interactions for the design of robust synthetic function. This review seeks to highlight this activity as well as provide a perspective for future directions. Combining these efforts can provide novel insights into cellular function and lead to robust, novel synthetic design.     

Gene network analysis of Arabidopsis thaliana flower development through dynamic gene perturbations

Understanding how flowers develop from undifferentiated stem cells has occupied developmental biologists for decades. Key to unraveling this process is a detailed knowledge of the global regulatory hierarchies that control developmental transitions, cell differentiation and organ growth. These hierarchies may be deduced from gene perturbation experiments, which determine the effects on gene expression after specific disruption of a regulatory gene. Here, we tested experimental strategies for gene perturbation experiments during Arabidopsis thaliana flower development. We used artificial miRNAs (amiRNAs) to disrupt the functions of key floral regulators, and expressed them under the control of various inducible promoter systems that are widely used in the plant research community. To be able to perform genome‐wide experiments with stage‐specific resolution using the various inducible promoter systems for gene perturbation experiments, we also generated a series of floral induction systems that allow collection of hundreds of synchronized floral buds from a single plant. Based on our results, we propose strategies for performing dynamic gene perturbation experiments in flowers, and outline how they may be combined with versions of the floral induction system to dissect the gene regulatory network underlying flower development.