State-dependent decisions cause apparent violations of rationality in animal choice

Normative models of choice in economics and biology usually expect preferences to be consistent across contexts, or “rational” in economic language. Following a large body of literature reporting economically irrational behaviour in humans, breaches of rationality by animals have also been recently described. If proven systematic, these findings would challenge long-standing biological approaches to behavioural theorising, and suggest that cognitive processes similar to those claimed to cause irrationality in humans can also hinder optimality approaches to modelling animal preferences. Critical differences between human and animal experiments have not, however, been sufficiently acknowledged. While humans can be instructed conceptually about the choice problem, animals need to be trained by repeated exposure to all contingencies. This exposure often leads to differences in state between treatments, hence changing choices while preserving rationality. We report experiments with European starlings demonstrating that apparent breaches of rationality can result from state-dependence. We show that adding an inferior alternative to a choice set (a “decoy”) affects choices, an effect previously interpreted as indicating irrationality. However, these effects appear and disappear depending on whether state differences between choice contexts are present or not. These results open the possibility that some expressions of maladaptive behaviour are due to oversights in the migration of ideas between economics and biology, and suggest that key differences between human and nonhuman research must be recognised if ideas are to safely travel between these fields.     

The August Krogh principle applies to plants

The Krogh principle refers to the use of a large number of animals to study the large number of physiological problems, rather than limiting study to a particular organism for all problems. There may be organisms that are more suited to study of a particular problem than others. This same principle applies to plants. The authors are concerned with the recent trend in plant biology of using Arabidopsis thaliana as the "organism of choice." Arabidopsis is an excellent organism for molecular genetic research, but other plants are superior models for other research areas of plant biology. The authors present examples of the successful use of the Krogh principle in plant cell biology research, emphasizing the particular characteristics of the selected research organisms that make them the appropriate choice.     

A resampling strategy for reliable network construction

In the classical approach to tree reconstruction schemes, such as pair group methods, maximum parsimony or minimum spanning trees, two major problems are not addressed at a fundamental level. First, for numerous kinds of experimental data, these methods produce equivalent solutions, but provide no way of handling those degeneracies. Second, the real-life data fed to these methods is treated as exact data, and possible measurement errors cannot be taken into account. We provide a statistical solution for both the degeneracy and data imperfection problem, which is built as a framework around the clustering method. It is therefore independent of the particular choice of clustering or population modeling algorithm and is applicable to any of the presently known methods that are subject to one or both of these problems.     

植物生物学多媒体教学积件库的构建

植物生物学多媒体教学积件库由植物生物学教学资料库、教学单元库和在线测试与练习库等组成。其中的多媒体教学资料库是积件库的基础构成部分。多媒体教学资料可从互联网下载、文字和图片扫描、光盘采集和自己制作等多种途径进行构建。探讨了植物生物学积件库构建中遇到的一些问题和解决的对策。     

植物生物学多媒体教学积件库的构建

植物生物学多媒体教学积件库由植物生物学教学资料库、教学单元库和在线测试与练习库等组成.其中的多媒体教学资料库是积件库的基础构成部分.多媒体教学资料可从互联网下载、文字和图片扫描、光盘采集和自己制作等多种途径进行构建.探讨了植物生物学积件库构建中遇到的一些问题和解决的对策.     

ForSim: a tool for exploring the genetic architecture of complex traits with controlled truth

Many important problems in biology involve complex traits affected by multiple coding or regulatory parts of the genome. How well the underlying genetic architecture can be inferred by statistical methods such as mapping and association studies are active research areas. ForSim is a flexible forward evolutionary simulation tool for exploring the consequences of evolution by phenotype, whereby demographic, chance, behavioral and selective effects mold genetic architecture. Simulation is useful for exploring these issues as well as the choice of study design inferential methods. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.     

The Gaggle: An open-source software system for integrating bioinformatics software and data sources

Background  

Systems biologists work with many kinds of data, from many different sources, using a variety of software tools. Each of these tools typically excels at one type of analysis, such as of microarrays, of metabolic networks and of predicted protein structure. A crucial challenge is to combine the capabilities of these (and other forthcoming) data resources and tools to create a data exploration and analysis environment that does justice to the variety and complexity of systems biology data sets. A solution to this problem should recognize that data types, formats and software in this high throughput age of biology are constantly changing.     

The emergence of pattern discovery techniques in computational biology

In the past few years, pattern discovery has been emerging as a generic tool of choice for tackling problems from the computational biology domain. In this presentation, and after defining the problem in its generality, we review some of the algorithms that have appeared in the literature and describe several applications of pattern discovery to problems from computational biology.     

A new biology for a new century.

Biology today is at a crossroads. The molecular paradigm, which so successfully guided the discipline throughout most of the 20th century, is no longer a reliable guide. Its vision of biology now realized, the molecular paradigm has run its course. Biology, therefore, has a choice to make, between the comfortable path of continuing to follow molecular biology's lead or the more invigorating one of seeking a new and inspiring vision of the living world, one that addresses the major problems in biology that 20th century biology, molecular biology, could not handle and, so, avoided. The former course, though highly productive, is certain to turn biology into an engineering discipline. The latter holds the promise of making biology an even more fundamental science, one that, along with physics, probes and defines the nature of reality. This is a choice between a biology that solely does society's bidding and a biology that is society's teacher.     

A New Biology for a New Century

Biology today is at a crossroads. The molecular paradigm, which so successfully guided the discipline throughout most of the 20th century, is no longer a reliable guide. Its vision of biology now realized, the molecular paradigm has run its course. Biology, therefore, has a choice to make, between the comfortable path of continuing to follow molecular biology's lead or the more invigorating one of seeking a new and inspiring vision of the living world, one that addresses the major problems in biology that 20th century biology, molecular biology, could not handle and, so, avoided. The former course, though highly productive, is certain to turn biology into an engineering discipline. The latter holds the promise of making biology an even more fundamental science, one that, along with physics, probes and defines the nature of reality. This is a choice between a biology that solely does society's bidding and a biology that is society's teacher.     

Is there a special conservation biology?

Conservation biology is special to the extent that it fills useful roles in the scientific and conservation fields that are not being filled by practitioners of other disciplines. The emergence of the “new conservation biology” in the late 1970's and its blossoming in the 1980's and 1990's reflect, to a large degree, a failure of traditional academic ecology and the natural resource disciplines to address modern conservation problems adequately. Yet, to be successful conservation biology, as an interdisciplinary field, must build on the strengths of other disciplines both basic and applied. The new conservation biology grew out of concern over extinction of species, although the field has expanded to include issues about management of several levels of biological organization. I examine four controversial questions of importance to conservation biologists today: 1) are there any robust principles of conservation biology? 2) Is advocacy an appropriate activity of conservation biologists? 3) Are we educating conservation biologists properly? 4) Is conservation biology distinct from other biological and resource management disciplines? I answer three of these questions with a tentative “yes” and one (3) with a regretful “in most cases, no.” I see a need for broader Training for students of conservation biology, more emphasis on collecting basic field data, compelling applications of conservation biology to real problems, increased influence on policy, and expansion of the international scope of the discipline. If all these occur, conservation biology will by truly special.     

Advanced computing for systems biology

Systems biology is based on computational modelling and simulation of large networks of interacting components. Models may be intended to capture processes, mechanisms, components and interactions at different levels of fidelity. Input data are often large and geographically disperse, and may require the computation to be moved to the data, not vice versa. In addition, complex system-level problems require collaboration across institutions and disciplines. Grid computing can offer robust, scaleable solutions for distributed data, compute and expertise. We illustrate some of the range of computational and data requirements in systems biology with three case studies: one requiring large computation but small data (orthologue mapping in comparative genomics), a second involving complex terabyte data (the Visible Cell project) and a third that is both computationally and data-intensive (simulations at multiple temporal and spatial scales). Authentication, authorisation and audit systems are currently not well scalable and may present bottlenecks for distributed collaboration particularly where outcomes may be commercialised. Challenges remain in providing lightweight standards to facilitate the penetration of robust, scalable grid-type computing into diverse user communities to meet the evolving demands of systems biology.     

Is more choice always desirable? Evidence and arguments from leks,food selection,and environmental enrichment

Recent studies on humans show that too much choice can make subjects less likely to choose any item. I consider general adaptive and non‐adaptive explanations of why such choice aversion, or its converse, might occur in animals. There are three questions: is more choice always preferred, does it ever lead to less consumption (or a lower probability of consumption), and may it result in worse items being selected? A preference for choice is one of the main explanations for lek formation and I draw attention to previously unrecognised parallels with models of human shopping behaviour. There is indeed evidence of female preference for larger leks, although much of the observational data are open to other interpretations. Unfortunately nobody has looked for choice aversion where it is most to be expected, in leks larger than normally occur. Evidence that too much choice of males confuses females is strongest in acoustically advertising frogs, but the widespread decrease of mating skew in larger leks might also have this explanation. A model reanalyses data on skew in black grouse Tetrao tetrix and suggests that considering only a random subset of a large lek may increase the chances of selecting the better males: larger leks are more likely to include better males, but these are less likely to be selected. These opposing effects may lead to an optimum lek size, but only with a sufficient decline in choice accuracy with size. With food choice, very few studies have avoided confounding choice with food quality, by manipulating only flavour. The widespread phenomena of stimulus‐specific satiety and novelty seeking imply that monotonous diets are aversive, but no studies test whether animals choose sites where they know food diversity to be greater. Operant experiments that demonstrate mild preferences for free choice concern choice about the means to get food rather than the food itself. In some insect species even moderate choice of diet can be deleterious, and studies on search images and the confusion effect may be evidence of this in vertebrates. Environmental enrichment of captive animals often relies on increasing the options available, but it need not be the choice itself that is beneficial. I consider briefly further areas in biology where choice preference or aversion are potentially important.     

Perspectives fulfilled: the work and thought of J. V. Neel (1915-2000).

James V. Neel was one of the leaders who developed human genetics into a predominant field of 20th-century science. Neel was originally trained in basic biology, and this fact was clearly reflected in the evolutionary, population perspective of his life's work. His interests were in the amount and burden of mutation in human populations. He studied this problem in clinical samples, survivors of the atomic bombings in Hiroshima and Nagasaki, and minimally acculturated indigenous populations in Amazonia. Because his perspective was populational, he cautioned that the most serious health problems faced by our species should not be approached as if they have a genetic solution.     

中国园林生态学发展综述

运用文献计量等方法对已有科研成果进行统计分析,结果表明:中国近50年园林生态学科领域科研发展经过了起步探索(1962-1981)、缓慢发展(1982-2001)、快速发展(2002-2011)3个时期,园林生态学作为生态学一个新的分支学科,于20世纪90年代末初见端倪,作为一门新兴独立的应用生态学分支学科于21世纪初已基本形成.中国园林生态学领域的研究包括园林生态系统中生物与环境相互作用关系问题、人与环境相互作用关系问题以及园林生态系统与其他生态系统之间相互作用关系问题.当代园林生态研究主要有生态效益研究、生物与环境研究、人的需求与行为研究、生态规划与生态管理研究4个方面,目前园林生态学研究主要侧重生物与环境研究和生态效益研究,两方面的研究成果占总体研究成果的76.3％.不同研究方面也有各自的侧重点,如生物与环境研究侧重对植物的研究,生态效益研究侧重净化环境、水土保持和防灾减灾,生态规划与生态管理研究则侧重生态规划与设计.对四个研究方面的论文主题词检索和高频主题关键词的分布进行统计,结果显示,研究的热点有多样性、群落、水土保持、防灾避险、净化环境、生态规划与设计等.对CNKI中4个研究方面成果中获基金资助项目论文进行统计(不排重),总体成果中基金项目论文所占比重为10.8％,国家和地方基金是园林生态学科研基金资助的主要来源,基金论文比例之和达到85.4％,且国家和地方基金资助论文较多的是“生态与环境研究”和“生态效益研究”,合计占基金论文79.1％.SCI-E中收录的文献基金论文率为47.1％,是CNKI数据库收录的文献基金论文率的4.3倍,且国际基金是基金论文的主要资助来源之一,说明中国园林生态学领域部分科研成果得到国际学界关注.基于CNKI相关主题词统计,“园林生态学”的研究成果只有“景观生态学”的1％,“城市生态学”的8.3％,“园林生态学”学科系统理论研究在相关生态学科研究中所占比重很低,其理论和方法研究还较薄弱.今后在进一步完善学科理论体系、持续开展生态效益和园林植物研究的同时,为更好地研究和解决人-自然复合生态系统问题,提供更多的科学理论支撑,还需拓展交叉生态心理学或环境心理学等其他相关理论,更多地关注人与环境互相作用关系以及生态规划与生态管理等方面的研究,既使环境更好地满足人的行为需求,也使人认识到改变一些行为能更好地保护环境.     

Using C. elegans notch mutants in an undergraduate cancer biology laboratory course to demonstrate oncogenic effects on cell proliferation

Undergraduate laboratory exercises addressing aspects of cancer biology such as increased cell proliferation, gain-of-function signaling mutations and tumour formation often rely on tissue culture or even small mammal models. Many departments have limited or no access to these tools, and even well-equipped departments face logistical problems when incorporating these models into laboratory classes. I have developed a laboratory exercise using the microscopic worm, C. elegans, to demonstrate the effects of Notch receptor mutations on cell proliferation. Notch, which is activated by juxtacrine signaling, is mutated in many human cancers. In this exercise, students compare the germline phenotypes of worms that have a loss-of-function Notch mutation (no cells in the germline) or a gain-of-function Notch mutation (over-proliferation resulting in a germline tumour). Students also genotype the worms and perform sequence analysis to determine the effects of the mutations on the protein sequence. This laboratory exercise demonstrates oncogenic proliferation, correlates genotype to phenotype, exposes students to model organisms and introduces sequence databases and analysis. In addition to cancer biology courses, this exercise could be incorporated in courses with a focus on genetics, cell biology or developmental biology.     

Predictive power of "a minima" models in biology

Many apparently complex mechanisms in biology, especially in embryology and molecular biology, can be explained easily by reasoning at the level of the "efficient cause" of the observed phenomenology: the mechanism can then be explained by a simple geometrical argument or a variational principle, leading to the solution of an optimization problem, for example, via the co-existence of a minimization and a maximization problem (a min-max principle). Passing from a microscopic (or cellular) level (optimal min-max solution of the simple mechanistic system) to the macroscopic level often involves an averaging effect (linked to the repetition of a large number of such microscopic systems with possible random choice of the parameters of each of them) that gives birth to a global functional feature (e.g. at the tissue level). We will illustrate these general principles by building in four different domains of application "a minima" models and showing the main properties of their solutions: (1) extraction of a minimal RNA structure functioning as the first "peptidic machine," a kind of ancestral ribosome; (2) study of a genetic regulatory network of Drosophila centred on Engrailed gene and expressing successively two genes inside a limit cycle; (3) study of a genetic network regulating neural activity and proliferation in mammals; and (4) study of a simple geometric model of epiboly in zebrafish.     

Genetic compatibility in long-term intimate relationships: partner similarity at major histocompatibility complex (MHC) genes may reduce in-pair attraction

Theoretical models from evolutionary biology predict that individual mate choice will be influenced by the extent of similarity between potential mates at the major histocompatibility complex (MHC) genes. A number of studies have sought to uncover an effect of MHC similarity on mate choice in humans, but the extent to which MHC similarity influences attraction within existing human relationships has been relatively under-explored. We investigated this question in a sample of 168 heterosexual couples that were typed and matched at 3 classical MHC markers. Findings were mixed with respect to the prediction that higher levels of MHC similarity would be linked to a reduction of in-pair attraction. In the full sample, there were no effects of MHC similarity on any of the dependent variables used to measure in-pair attraction, but there were strong and consistent effects of MHC similarity on these measures in couples with two Asian partners (N couples =44). In sum, our findings are consistent with an effect of MHC similarity on in-pair attraction within existing relationships, but they also suggest that this effect may be moderated by additional factors, particularly the ancestral background of the individual relationship partners.     

Human Normal Bronchial Epithelial Cells: A Novel In Vitro Cell Model for Toxicity Evaluation

Human normal cell-based systems are needed for drug discovery and toxicity evaluation. hTERT or viral genes transduced human cells are currently widely used for these studies, while these cells exhibited abnormal differentiation potential or response to biological and chemical signals. In this study, we established human normal bronchial epithelial cells (HNBEC) using a defined primary epithelial cell culture medium without transduction of exogenous genes. This system may involve decreased IL-1 signaling and enhanced Wnt signaling in cells. Our data demonstrated that HNBEC exhibited a normal diploid karyotype. They formed well-defined spheres in matrigel 3D culture while cancer cells (HeLa) formed disorganized aggregates. HNBEC cells possessed a normal cellular response to DNA damage and did not induce tumor formation in vivo by xenograft assays. Importantly, we assessed the potential of these cells in toxicity evaluation of the common occupational toxicants that may affect human respiratory system. Our results demonstrated that HNBEC cells are more sensitive to exposure of 10~20 nm-sized SiO₂, Cr(VI) and B(a)P compared to 16HBE cells (a SV40-immortalized human bronchial epithelial cells). This study provides a novel in vitro human cells-based model for toxicity evaluation, may also be facilitating studies in basic cell biology, cancer biology and drug discovery.