Genetic diversity of a relict plant species, Ligularia sibirica (L.) Cass. (Asteraceae)

Rare plant species can be divided into naturally, ‘old rare’ species and anthropogenically, ‘new rare’ species. Many recent studies explored genetic diversity of ‘new rare’ species. Less is, however, known about genetic diversity of ‘old rare’ species. We examined isozyme genetic variability of 20 populations of an ‘old rare’ plant species, Ligularia sibirica (Asteraceae) in the Czech and Slovak Republic. It is a long-lived perennial herb with mixed-mating breeding system, widely distributed from East Asia to European Russia, with few isolated relict populations in the remaining part of Europe.The results showed high genetic diversity within populations (80.8%) and a low level of genetic differentiation (F_ST = 0.179). Genetic distance between populations correlated significantly with geographic distance. There was also a significant positive correlation between genetic diversity and population size. This is probably caused by destruction of habitats in last centuries and subsequent decrease of population size. Patterns of genetic diversity suggest that the recent distribution is a result of stepwise postglacial migration of the species and subsequent natural fragmentation.We conclude that L. sibirica populations preserve high levels of genetic diversity and are not yet threatened by genetic factors. However, this may change if changes in habitat conditions continue.     

Distribution of phylogenetic diversity under random extinction

Phylogenetic diversity is a measure for describing how much of an evolutionary tree is spanned by a subset of species. If one applies this to the unknown subset of current species that will still be present at some future time, then this ‘future phylogenetic diversity’ provides a measure of the impact of various extinction scenarios in biodiversity conservation. In this paper, we study the distribution of future phylogenetic diversity under a simple model of extinction (a generalized ‘field of bullets’ model). We show that the distribution of future phylogenetic diversity converges to a normal distribution as the number of species grows, under mild conditions, which are necessary. We also describe an algorithm to compute the distribution efficiently, provided the edge lengths are integral, and briefly outline the significance of our findings for biodiversity conservation.     

Comparing strategies to preserve evolutionary diversity

The likely future extinction of various species will result in a decline of two quantities: species richness and phylogenetic diversity (PD, or ‘evolutionary history’). Under a simple stochastic model of extinction, we can estimate the expected loss of these quantities under two conservation strategies: An ‘egalitarian’ approach, which reduces the extinction risk of all species, and a ‘targeted’ approach that concentrates conservation effort on the most endangered taxa. For two such strategies that are constrained to experience the same expected loss of species richness, we ask which strategy results in a greater expected loss of PD. Using mathematical analysis and simulation, we describe how the strategy (egalitarian versus targeted) that minimizes the expected loss of PD depends on the distribution of endangered status across the tips of the tree, and the interaction of this status with the branch lengths. For a particular data set consisting of a phylogenetic tree of 62 lemur species, with extinction risks estimated from the IUCN ‘Red List’, we show that both strategies are virtually equivalent, though randomizing these extinction risks across the tip taxa can cause either strategy to outperform the other. In the second part of the paper, we describe an algorithm to determine how extreme the loss of PD for a given decline in species richness can be. We illustrate the use of this algorithm on the lemur tree.     

Species coexistence, intransitivity, and topological variation in competitive tournaments

Competitive intransitivity occurs when species’ competitive abilities cannot be listed in a strict hierarchy, but rather form competitive loops, as in the game ‘Rock-Paper-Scissors’. Indices are useful for summarizing intransitivity in communities; however, as with most indices, a great deal of information is compressed into single number. So while recent ecological theory, experiments, and natural history observations demonstrate that competitive intransitivity can promote species coexistence, the consequence of variation in the ‘topology’ of competitive interactions that is not accounted for by intransitivity indices is much less well understood. We use a continuous analytical model and two complementary discrete lattice models (one spatially explicit, the other aspatial) to demonstrate that such variation does indeed greatly affect species coexistence. Specifically, we show that although intransitivity indices are good at capturing broad patterns of coexistence, communities with different levels of intransitivity can have equal coexistence, and communities with equal intransitivity can have different coexistence, due to underlying variation in competitive network topology.     

Conspicuous males suffer higher predation risk: visual modelling and experimental evidence from lizards

Colour pattern variation is a striking and widespread phenomenon. Differential predation risk between individuals is often invoked to explain colour variation, but empirical support for this hypothesis is equivocal. We investigated differential conspicuousness and predation risk in two species of Australian rock dragons, Ctenophorus decresii andC. vadnappa . To humans, the coloration of males of these species varies between ‘bright’ and ‘dull’. Visual modelling based on objective colour measurements and the spectral sensitivities of avian visual pigments showed that dragon colour variants are differentially conspicuous to the visual system of avian predators when viewed against the natural background. We conducted field experiments to test for differential predation risk, using plaster models of ‘bright’ and ‘dull’ males. ‘Bright’ models were attacked significantly more often than ‘dull’ models suggesting that differential conspicuousness translates to differential predation risk in the wild. We also examined the influence of natural geographical range on predation risk. Results from 22 localities suggest that predation rates vary according to whether predators are familiar with the prey species. This study is among the first to demonstrate both differential conspicuousness and differential predation risk in the wild using an experimental protocol. Copyright 2003 Published by Elsevier Ltd on behalf of The Association for the Study of Animal Behaviour.      

Multiscale analysis of collective motion and decision-making in swarms: An advection-diffusion equation with memory approach

We propose a (time) multiscale method for the coarse-grained analysis of collective motion and decision-making in self-propelled particle models of swarms comprising a mixture of ‘naïve’ and ‘informed’ individuals. The method is based on projecting the particle configuration onto a single ‘meta-particle’ that consists of the elongation of the flock together with the mean group velocity and position. We find that the collective states can be associated with the transient and asymptotic transport properties of the random walk followed by the meta-particle, which we assume follows a continuous time random walk (CTRW). These properties can be accurately predicted at the macroscopic level by an advection-diffusion equation with memory (ADEM) whose parameters are obtained from a mean group velocity time series obtained from a single simulation run of the individual-based model.     

Phenology and seed setting success of snowbed plant species in contrasting snowmelt regimes in the Central Pyrenees

Plant growth and performance in snowbed communities are strongly influenced by the length of the growing period remaining after the snowmelt date. Under the scenario of climate change, studying the phenological responses of snowbed species to variations in snowmelt date might be crucial to understand their ability to adapt and survive under changing conditions. We studied 13 plant species from contrasting biological and ecological groups (i.e. ‘snowbed specialists’, ‘preferential species’ and ‘generalist species’) growing in four snowbed plots with siliceous substrates in the Central Pyrenees. These species were monitored for two consecutive years and in two different microsites, namely the central part and the peripheral part of each snowbed plot. We characterised their phenological cycle and length and their success in seed setting, measured as the number of individuals succeeding in dispersing their seeds.     

Quantum biology at the cellular level—Elements of the research program

Quantum biology is emerging as a new field at the intersection between fundamental physics and biology, promising novel insights into the nature and origin of biological order. We discuss several elements of QBCL (quantum biology at cellular level) – a research program designed to extend the reach of quantum concepts to higher than molecular levels of biological organization. We propose a new general way to address the issue of environmentally induced decoherence and macroscopic superpositions in biological systems, emphasizing the ‘basis-dependent’ nature of these concepts. We introduce the notion of ‘formal superposition’ and distinguish it from that of Schroedinger's cat (i.e., a superposition of macroscopically distinct states). Whereas the latter notion presents a genuine foundational problem, the former one contradicts neither common sense nor observation, and may be used to describe cellular ‘decision-making’ and adaptation. We stress that the interpretation of the notion of ‘formal superposition’ should involve non-classical correlations between molecular events in a cell. Further, we describe how better understanding of the physics of Life can shed new light on the mechanism driving evolutionary adaptation (viz., ‘Basis-Dependent Selection’, BDS). Experimental tests of BDS and the potential role of synthetic biology in closing the ‘evolvability mechanism’ loophole are also discussed.     

Optimization of short-term animal behaviour and the currency of time

Modern ageing theory is based on the observation that oxidative metabolism causes damage that results in a gradual loss of vitality, leading to senescence and death. If animals can oxidize only a given amount of substrate in a lifetime (i.e. the ‘metabolic time’ is allocated from a fixed budget), then behaviour may be aimed at maximizing benefits per unit of ‘metabolic time’ expended. We analyse the consequences of this view for two types of behaviour that are commonly expressed as rates with respect to clock time. Examples are given of locomotory behaviour in which the animals' preferred speeds are generally interpreted as a result of maximization of energetic efficiency. The same behaviour could be expected if animals were ‘speed maximizers’ with respect to metabolic time. Examples are given of foraging behaviour that is also best predicted on the basis of maximization of energetic efficiency. This makes sense only if energy is allocated from a fixed budget. However, foraging animals not only expend energy but also consume it so energy cannot be considered as being allocated from a fixed budget. The same behaviour could be expected if animals were ‘energy intake rate maximizers’ with respect to metabolic time. This makes sense if metabolic time is allocated from a fixed budget as suggested by ageing theory. The metabolic time concept can provide a crucial link between the optimum intensity of short-term behaviour and its long-term fitness consequences. We discuss the implications of this approach for the modelling of foraging behaviour. Copyright 2002 The Association for the Study of Animal Behaviour. Published by Elsevier Science Ltd. All rights reserved.      

The neural basis of colour vision in the butterfly, Heliconius erato

Single unit recordings from visual interneurons in the protocerbrum of the neotropical butterfly Heliconius erato, revealed a variety of fibre types with wavelength specific patterns of activity. These ‘colour fibres’ were divided into four broad categories based upon the nature of their response to a flash of monochromatic light: (1) ‘simple’ colour fibres, which respond with excitation, when the eye is stimulated with some specific, narrow portion of the visible spectrum; (2) ‘on-off’ fibres, which produce ‘on’ bursts in response to certain portions of the spectrum, and ‘off’ effects when stimulated with other wavelengths; (3) ‘variable latency’ units which demonstrate dramatic shifts in latency, with comparatively small changes in the stimulating wavelength; and (4) ‘red-blue movement’ units which demonstrate bursts of activity when stimulated with flashes of red or blue light, and also serve as a non-directional movement detector. The wide variety of colour fibres appears to be correlated with the great behavioural significance of colour to this species.     

Impact of Phyllostachys heterocycla ‘Pubescens’ expansion on mycorrhizal associations of the adjacent forests

 毛竹(Phyllostachys heterocycla ‘Pubescens’)凭借其独特的生长特性极易扩张进入周边的常绿或针阔混交森林群落并取而代之。菌根减弱假说对毛竹林扩张导致周边林分枯亡并抑制林下幼苗更新的机制进行了解释, 即毛竹林的成功扩张是由于毛竹蔓延引起森林群落的菌根系统紊乱, 使宿主植物与菌根真菌的共生关系受到干扰, 进而影响了宿主植物的分布与更新。该研究以浙江省西天目山国家自然保护区为研究区域, 对菌根减弱假说进行了检验。通过在毛竹-针阔混交林交接区沿毛竹扩张方向设置毛竹纯林、竹-林过渡带、针阔混交林3种类型的样带, 选取在针阔混交林、竹-林过渡带同时存在的6种优势乔灌树种——杉木(Cunninghamia lanceolata)、枫香树(Liquidambar formosana)、青冈(Cyclobalanopsis glauca)、柳杉(Cryptomeria fortunei)、江浙山胡椒(Lindera chienii)、毛柄连蕊茶(Camellia fraterna), 测定这6个树种在两样带中的菌根侵染频率和强度, 检测在毛竹林扩张中周边森林群落菌根的响应, 同时对比了毛竹在毛竹纯林和竹-林过渡带菌根感染率和强度的变化, 检验该假设。实验结果表明: 1)针阔混交林和竹-林过渡带的主要树种菌根都具有较高的菌根侵染频率(> 95%), 且不同林分间林木的侵染频率无显著差异(p > 0.1); 2)在竹-林过渡带杉木和江浙山胡椒的丛枝菌根侵染强度较针阔混交林明显增加(p < 0.1); 3)毛竹的丛枝菌根侵染频率和强度远低于其他针阔树种, 且在扩张前后没有显著变化(p > 0.1)。实验结果否定菌根减弱假说。     

Application of modular kinetic analysis to mitochondrial oxidative phosphorylation in skeletal muscle of birds exposed to acute heat stress

We previously showed that heat stress stimulates reactive oxygen species (ROS) production in skeletal muscle mitochondria of birds, probably via an elevation in mitochondrial membrane potential (ΔΨ). To clarify the mechanism underlying the elevation of ΔΨ, modular kinetic analysis was applied to oxidative phosphorylation in skeletal muscle mitochondria of heat-stressed birds (34 °C for 12 h). In the birds exposed to heat stress, ‘substrate oxidation’ (a ΔΨ-producer) was increased compared to control (24 °C) birds, although there was little difference in ‘proton leak’ (a ΔΨ-consumer), suggesting that an elevation in the ΔΨ at state 4 may be due to enhanced substrate oxidation. It thus appears that enhanced substrate oxidation plays a crucial role in the overproduction of ROS for heat-stressed birds, probably via elevated ΔΨ.     

Chimerical nature of the ribosomal RNA gene of a Nosema species

Taxonomic resolution of the Nosema/Vairimorpha clade has been augmented with DNA sequences of the small subunit (SSU) and large subunit (LSU) ribosomal RNA (rRNA) and the arrangement of SSU and LSU. Based on the two characteristics, the clade is largely divided into two, i.e. ‘true’ Nosema sub-group and non-‘true’ Nosema sub-group within the clade. Our study shows that a novel Nosema species isolated from Pieris rapae has mixed characteristics of the ‘true’ and non-‘true’ Nosema sub-group based on the topology of SSU and LSU sequences. To our knowledge, this may be the first case of the incongruent phylogenetic placement of SSU and LSU in the Nosema/Vairimorpha clade. Additionally, the length of internal transcribed spacer (ITS) can be a diagnostic tool to distinguish ‘true’ Nosema from non-’true’ Nosema in the Nosema/Vairimorpha clade based on its nucleotide length as reported before.     

Comparative social cognition: what can dogs teach us?

Research in comparative social cognition addresses how challenges of social living have formed the cognitive structures that control behaviours involved in communication, social learning and social understanding. In contrast to the traditional psychological approach, recent investigations take both evolutionary and functional questions into account, but the main emphasis is still on the mechanisms of behaviour. Although in traditional research ‘comparative’ meant mainly comparisons between humans and other primates, ethological influences have led to a broadening of the spectrum of species under study. In this review, we evaluated how the study of dogs broadens our understanding of comparative social cognition. In the early days of ethology, dogs enjoyed considerable interest from ethologists, but during the last 20 years, dogs have rarely been studied by ethological methods. Through a complex evolutionary process, dogs became adapted for living in human society; therefore, the human environment and social setting now represents a natural ecological niche for this species. We have evidence that dogs have been selected for adaptations to human social life, and that these adaptations have led to marked changes in their communicative, social, cooperative and attachment behaviours towards humans. Until now, the study of dogs was hindered by the view that they represent an ‘artificial’ species, but by accepting that dogs are adapted to their niche, as are other ‘natural’ species, comparative investigations can be put into new light.     

Species, clusters and the ‘Tree of life’: A graph-theoretic perspective

A hierarchical structure describing the inter-relationships of species has long been a fundamental concept in systematic biology, from Linnean classification through to the more recent quest for a ‘Tree of Life’. In this paper we use an approach based on discrete mathematics to address a basic question: could one delineate this hierarchical structure in nature purely by reference to the ‘genealogy’ of present-day individuals, which describes how they are related with one another by ancestry through a continuous line of descent? We describe several mathematically precise ways by which one can naturally define collections of subsets of present day individuals so that these subsets are nested (and so form a tree) based purely on the directed graph that describes the ancestry of these individuals. We also explore the relationship between these and related clustering constructions.     

Toward bridging the gap between life and physics

Examination of the scale properties of living organisms and the electronic configuration of crystalline structures suggests that related modeling may be used for both. This paper comments on individual and common properties of the two systems and draws a comparison between them. Both exhibit multiple ‘scales’ separated by complex or forbidden regions and a global ‘overview’ of their scale properties. We conclude that the analogy may provide a fruitful route toward extension of the modeling of both living organisms and electronic materials, by permitting bootstrapping cross-modeling between them.     

Tritrichomonas foetus from domestic cats and cattle are genetically distinct

The genetic relationship amongst Tritrichomonas foetus isolated from domestic cats and cattle was investigated by DNA sequencing of the internal transcribed region of the ribosomal DNA unit and the TR7/TR8 variable-length repeat. The results reject the hypothesis that T. foetus from domestic cats is genetically identical to T. foetus in cattle. We suggest recognition of a ‘cat genotype’ and a ‘cattle genotype’ of T. foetus. Review of public nucleotide repositories revealed that the ‘cat genotype’ has not been isolated from cattle nor the ‘cattle genotype’ recovered from cats. However, at least one cat isolate has been shown to induce disease in experimentally infected cattle. We conclude that these genotypes fall within the single species T. foetus.