Stochastic simulations of a synthetic bacteria-yeast ecosystem

ABSTRACT: BACKGROUND: The eld of synthetic biology has greatly evolved and numerous functions can now be implemented by articially engineered cells carrying the appropriate genetic information. However, in order for the cells to robustly perform complex or multiple tasks, co-operation between them may be necessary. Therefore, various synthetic biological systems whose functionality requires cell-cell communication are being designed. These systems, microbial consortia, are composed of engineered cells and exhibit a wide range of behaviors. These include yeast cells whose growth is dependent on one another, or bacteria that kill or rescue each other, synchronize, behave as predator-prey ecosystems or invade cancer cells. RESULTS: In this paper, we study a synthetic ecosystem comprising of bacteria and yeast that communicate with and benet from each other using small diffusible molecules. We explore the behavior of this heterogeneous microbial consortium, composed of Saccharomyces cerevisiae and Escherichia coli cells, using stochastic modeling. The stochastic model captures the relevant intra-cellular and inter-cellular interactions taking place in and between the eukaryotic and prokaryotic cells. Integration of well-characterized molecular regulatory elements into these two microbes allows for communication through quorum sensing. A gene controlling growth in yeast is induced by bacteria via chemical signals and vice versa. Interesting dynamics that are common in natural ecosystems, such as obligatory and facultative mutualism, extinction, commensalism and predator-prey like dynamics are observed. We investigate and report on the conditions under which the two species can successfully communicate and rescue each other. CONCLUSIONS: This study explores the various behaviors exhibited by the cohabitation of engineered yeast and bacterial cells. The way that the model is built allows for studying the dynamics of any system consisting of two species communicating with one another via chemical signals. Therefore, key information acquired by our model may potentially drive the experimental design of various synthetic heterogeneous ecosystems.     

On the Application of Fuzzy Decision Theory in Chemotherapy

1IntreductionTheliteratUreonmulti-Criteriondecisionmaking(MCDM)problemshas~tremendouslyintherecentpast.TwomajorareashaveevolvedwhiChbothconcentrateondecisionmakingwithseveralcriteria:multiobjectivedecisionmaking(MODM)andmulti-attributedecisionmaking(MADM).TheformerconcentratesoncontinuousdecisionspaceandthelatterfocusesonproblemswithdiscreteSPace.FuzzysettheoryhascontributedtoMODMproblemsaswellastheMADMProblems.ThegeneralMODMproblemcanbedeft.edLllasfollows:Twostagescangenerallybe…     

东方大黄蜂的表皮异源移植试验

将东方大黄蜂（胡蜂）蛹或幼蜂的棕色表皮层连同含有黑色素的皮细胞层、黄色表皮层及相连的产生黄嘌呤的皮细胞层割下，换化后植入原来的黄蜂体上（原来是黄色的部分用棕色替代，棕色的用黄色替代）。然后将蛹放回原来的子脾中，幼蜂放入一特殊的培养皿中，让其复原和发育。共对200个不同时期的蛹和50只幼蜂进行了试验。结果显示，存活的最主要是将羽化的蛹（差1—2天就羽化的蛹），早期的蛹和幼蜂均死亡。总共有约5％的蛹存活，幼蛹无一存活。在存活的蛹中，棕色表皮植入黄色区域中的不但成活了，而且还保留了棕色色彩。相反，黄色表皮在植入到棕色区域的几天后，就丢失了黄色及膜片。经过表皮异源移植的大黄蜂寿命极短，一般仅几星期。羽化后较敏感，攻击性强，但行走、飞行都很正常[动物学报51（6）：1146—1150，2005]。     

The Characterisation of Residual Strain in Ensis siliqua Shells

1 Introduction Molluscan species exhibit a range of morphologies associated with their particular function and habitat. The razor clam (Ensis siliqua) is a bivalve mollusc, usually found in fine sands, that burrows up to depths of 20 fathoms (～36 m)[1]. The species is found in several coastal regions of the British Isles, the Norwegian Sea, the Baltic south, the Iberian Peninsula, the Mediterranean and along the Atlantic coast of Morrocco[2]. The protec- tive outer shell, which is often …     

Applications——Influence of Biology on Engineering

Examples are presented showing the way in which biological systems produce a range of functions which can be implemented in engineering, such as feedback-control of stiffness （muscles and nervous system）, the design of fault-free structures （trees） and damage-tolerant materials （wood） and high performance insulation （penguin feathers） and shock absorbers （hedgehog spines）.