Gaia again

The ideas of the Gaia hypothesis from the 1960s are today largely included in global ecology and Earth system sciences. The interdependence between biosphere, oceans, atmosphere and geosphere is well-established by data from global monitoring. Nevertheless the theory underlying the holistic view of the homeostatic Earth has remained obscure. Here the foundations of Gaia theory are examined from the recent formulation of the 2nd law of thermodynamics as an equation of motion. According to the principle of increasing entropy, all natural processes, inanimate just as animate, consume free energy, the thermodynamic driving force. All species, abiotic just as biotic are viewed as mechanisms of energy transduction for the global system to evolve toward a stationary state in its surroundings. The maximum entropy state displays homeostasis by being stable against internal fluctuations. When surrounding conditions change or when new mechanisms emerge, the global system readjusts its flows of energy to level newly appeared gradients. Thus, the propositions of Gaia theory and holistic understanding of the global system are recognized as consequences of thermodynamic imperatives.     

New evidence of an old problem: The coupling of genome replication to cell growth in bacteria

The problem of coordinating genome replication with cell growth in bacteria was posed over four decades ago. Unlike for eukaryotes, this problem has not been completely solved even for Escherichia coli, which has been comprehensively studied by molecular biologists, to say nothing of other bacteria. Current models of the bacterial life cycle solve the coupling problem by introducing a phenomenological hypothesis that considers the dynamic coordination of growth and replication but does not unveil the underlying molecular mechanisms. Here we review the mechanisms regulating genome replication initiation with regards to their coupling to growth processes in the three best investigated bacterial species: E. coli, Bacillus subtilis, and Caulobacter crescentus. A putative correlation between the type of cell growth laws and the actual mechanisms regulating the replication of DNA formed during the process of evolution in various classes of bacteria, is discussed, including those intracellular parasites in which degenerative evolution has discarded most of their genomes. We contemplate the concept of a universal growth law for bacterial cells and some features in the formation of a primitive negative replication regulating mechanism in the context of the coupling problem.     

An unusual evolutionary behaviour of a sea urchin histone gene cluster

DNA sequences of cloned histone coding sequences and spacers of sea urchin species that diverged long ago in evolution were compared. The highly repeated H4 and H3 genes active during early embryogenesis had evolved (in their silent sites) at a rate (0.5-0.6% base changes/Myr) similar to single-copy protein-coding genes and nearly as fast as spacer DNA (0.7% base changes/Myr) and unique DNA. Thus, evolution in the major histone genes conforms to a universal evolutionary clock based on the rate of base sequence change. By contrast, the H4 and H3 coding sequences and a non-transcribed spacer of the DNA clone h19 of Psammechinus miliaris show an exceptionally low rate of sequence evolution only 1/100 to 1/200 that predicted from the clock hypothesis. According to the classical model of gene inheritance, the h19 DNA sequences in the Psammechinus genome require unusual conservation mechanisms by selection at the level of the gene and spacer sequences. An alternative explanation could be recent horizontal gene transfer of a histone gene cluster from the very distantly related Strongylocentrotus dröbachiensis to the P. miliaris genome.     

The Universal Statistical Distributions of the Affinity,Equilibrium Constants,Kinetics and Specificity in Biomolecular Recognition

We uncovered the universal statistical laws for the biomolecular recognition/binding process. We quantified the statistical energy landscapes for binding, from which we can characterize the distributions of the binding free energy (affinity), the equilibrium constants, the kinetics and the specificity by exploring the different ligands binding with a particular receptor. The results of the analytical studies are confirmed by the microscopic flexible docking simulations. The distribution of binding affinity is Gaussian around the mean and becomes exponential near the tail. The equilibrium constants of the binding follow a log-normal distribution around the mean and a power law distribution in the tail. The intrinsic specificity for biomolecular recognition measures the degree of discrimination of native versus non-native binding and the optimization of which becomes the maximization of the ratio of the free energy gap between the native state and the average of non-native states versus the roughness measured by the variance of the free energy landscape around its mean. The intrinsic specificity obeys a Gaussian distribution near the mean and an exponential distribution near the tail. Furthermore, the kinetics of binding follows a log-normal distribution near the mean and a power law distribution at the tail. Our study provides new insights into the statistical nature of thermodynamics, kinetics and function from different ligands binding with a specific receptor or equivalently specific ligand binding with different receptors. The elucidation of distributions of the kinetics and free energy has guiding roles in studying biomolecular recognition and function through small-molecule evolution and chemical genetics.     

Differential proteomic analysis of Trichoplusia ni cells after continuous selection with activated Cry1Ac toxin

Development of insect resistance to Bacillus thuringiensis (Bt) toxins threatens the sustained successful application of Bt-based biological control tactics. Multi-mechanisms of resistance have been proposed, such as alteration of toxin-binding proteins, changes of proteases in midgut and so on. The other responses of the Cry1Ac-selected insects might also contribute to the evolution of resistance. Here, the Cry1Ac-selected Trichoplusia ni TnH5 cells with high resistance were subjected to analysis of proteome and the differentially expressed proteins were identified using mass spectrometry. The differential proteins included transporter, molecular chaperon, structural molecules and many other molecules involved in protein metabolism, signal transduction, nucleotide binding, lipid biosynthesis, carbohydrates metabolism and energy production, suggesting that a complex mechanisms involved in the development of insect resistance to Bt Cry1Ac toxins at cellular levels. The decrease of protein synthesis, changes of signal transduction, more rapid energy production, the enhanced lipid synthesis and the decline of possible Cry1Ac-binding proteins in cytoplasm and other events might contribute to the development of resistance in the selected cells. Our results provide some new cues for understanding the mechanism of Bt resistance.     

Evolution as resistance to entropy. I. Mechanisms of species homeostasis

The idea is discussed that the common output of any evolution is creation of the entities that are increasingly resistant to further evolution. The moving force of evolution is entropy, the tendency to disorder. This general aspiration for chaos is a cause of the mortality of organisms and species, however, being prerequisite for any movement, it creates (by chance) novelties, which may occur (by chance) more resistant to further decay and thus survive. The surviving of those who survive is the most general principle of evolution discovered by Darwin for particular case of biological evolution. The second law of thermodynamics states that our Universe is perishing but its ontology is such that it creates resistance to destruction. The evolution is a history of this resistance. Not only those who die do not survive but also those who evolve. The entities that change (evolve) rapidly disappear rapidly and by this reason they are not observed among both the fossils and now-living organisms. We know only about long-living species. All the existing organisms are endowed with an ability to resist other changing. The following main achievements of the species homeostasis are discussed: high fidelity of DNA replication and effective mechanisms of DNA repair; diploidy; normalizing selection; truncated selection; heterozygote superiority; ability to change phenotype adaptively without changing genotype; parental care and the K-strategy of reproduction; behavior that provides independence of the environment. The global resistance of the living systems to entropy is provided the state that all the essential in biology is determined not by physical-chemical interactions but could semantic rules. A conception of "potential zygotic information" that determines the rules of ontogenesis is proposed. A zygote does not contain this information in explicit form. It is created de novo step by step during ontogenesis and it could not be decoded beforehand. The experimental data on the adaptive mutagenesis and the relevant hypothesis are discussed. It is concluded that the special mechanisms for speeding-up of evolution as created by evolution are impossible conceptually.     

The driving force behind genomic diversity

Eukaryote genomes contain excessively introns, intergenic and other non-genic sequences that appear to have no vital functional role or phenotype manifestation. Their existence, a long-standing puzzle, is viewed from the principle of increasing entropy. According to thermodynamics of open systems, genomes evolve toward diversity by various mechanisms that increase, decrease and distribute genomic material in response to thermodynamic driving forces. Evolution results in an excessive genome, a high-entropy ecosystem of its own, where copious non-coding segments associate with low-level functions and conserved sequences code coordinated activities. The rate of entropy increase, equivalent to the rate of free energy decrease, is identified with the universal fitness criterion of natural selection that governs populations of genomic entities as well as other species.     

A hierarchical consideration of causes and mechanisms of succession

Questions of successional pattern and causality have been central concerns in vegetation ecology. In this paper we address the limits of the overextended models of Connell and Slatyer by discussing problems encountered in field tests. To help prevent such problems, we define the essential concepts needed to understand succession: pathway, cause, mechanism, and model. We then suggest a more complete enumeration of successional causes, and place them in a three-level hierarchy. The highest level in the hierarchy defines the general and universal conditions under which succession occurs: (1) availability of open sites, (2) differential availability of species, and (3) differential performance of species at the site. To provide a more detailed under-standing of succession, each of these causes is decomposed into ecological processes. A further decomposition results in the third level of the hierarchy, which is required to elucidate the mechanisms of succession at particular sites and to make detailed predictions. The hierarchy allows the appropriate causes to be chosen to answer questions about succession at the desired level of generality or level of organization. Recognizing the appropriate level(s) in the hierarchy is critical for the successful explanation of succession, design of experiments, statement of predictions, construction of models and development of general theory.We thank Prof. Joseph Connell for comments and helpful discussion and Prof. F. A. Bazzaz, Dr. P. S. White, Dr. L. R. Walker and the members of the Plant Strategy and Vegetation Dynamics Lab. at Rutgers for criticism. Preparation of this paper was supported by the Mary Flagler Charitable Trust through the Institute of Ecosystem Studies.     

细菌自然转化的分子机制及生物学功能研究进展

基因的水平转移在细菌的进化中起着非常重要的作用。自然界中的细菌之间主要通过3种机制进行基因水平转移:由噬菌体介导的转导、接合转移和自然转化。自然转化是指自然感受态的细菌能够自发地从外界环境中摄取DNA分子并整合到自身基因组上的过程。该现象首先发现于肺炎链球菌,目前至少有83种细菌被发现具有发生自然转化的能力,其中革兰氏阳性菌以肺炎链球菌(Streptococcus pneumoniae,S. pneumoniae)为代表,革兰氏阴性菌以奈瑟氏菌(Neisseria)为代表,对其自然转化机制的研究和认识较为清楚,但不同细菌之间自然转化的机制有所差异。自然转化的生物学功能一直以来有以下几种推测:获取营养、修复DNA损伤、生物进化,而近年来对此认识争论不休。本文将详细描述细菌自然转化的分子机制,并对其主要的生物学功能争论焦点进行评述,以期对细菌自然转化有更深入的理解和认识。     

发育重演律与生物进化

发育重演律是生物个体发育的一般规律,该规律认为生物个体的发育是类囊胚不断形成和演化的过程,并认为生物进化亦是类囊胚不断形成和演化的过程.因类囊胚层级不断增加而导致的生物体结构复杂程度提高的演化为纵向进化,而不能提高生物体复杂程度的演化为横向演化,生物的纵向进化具有周期性.生物种系进化与个体发育之间具有严格的对应关系,一个物种经历的纵向进化的周期数与该物种所属个体完成发育所经历的细胞分化的周期数相等.     

Combination of reclaimed and unreclaimed sites is the best practice for protection of aculeate Hymenoptera species on brown coal spoil heaps

The study focused on aculeate Hymenoptera recorded at 114 study plots on seven brown coal spoil heaps (reclaimed and under spontaneous succession) situated in the North Bohemian Brown Coal Basin, Czech Republic. In total, 2706 individuals of 212 species from 13 families were collected using Moericke traps. Of this number, 46 rare species (2 regionally extinct, 7 critically endangered, 14 endangered, and 23 vulnerable), 5 species protected by law, and 3 other rare species were recorded. Species typical of sand banks and open landscape were most numerous. The communities were dominated by Lasioglossum species, Diodontus minutus and Bembecinus tridens on unreclaimed sites, and Apis mellifera, Lasioglossum pauxillum, and Osmia rufohirta on reclaimed sites. Unreclaimed sites hosted twice as many rare species at four times greater abundances. Rare species occurred there more frequently than at reclaimed sites. Species known as regionally extinct, Evagetes littoralis and Nomada minuscula, were found only on unreclaimed sites. Redundancy analysis showed that especially threatened species are connected with sandy sites small in area and with sparse vegetation cover. The number of rare species slowly increased with age, but young sites, too, could be very rich. It is recommended to combine succession and reclamation approaches to create suitable nesting habitats, refuges, and food resources. It is essential to maintain a fine mosaic of habitats in various (above all young) successional stages.     

Observation of Continuous Contraction and a Metastable Misfolded State during the Collapse and Folding of a Small Protein

To obtain proper insight into how structure develops during a protein folding reaction, it is necessary to understand the nature and mechanism of the polypeptide chain collapse reaction, which marks the initiation of folding. Here, the time-resolved fluorescence resonance energy transfer technique, in which the decay of the fluorescence light intensity with time is used to determine the time evolution of the distribution of intra-molecular distances, has been utilized to study the folding of the small protein, monellin. It is seen that when folding begins, about one-third of the protein molecules collapse into a molten globule state (I_MG), from which they relax by continuous further contraction to transit to the native state. The larger fraction gets trapped into a metastable misfolded state. Exit from this metastable state occurs via collapse to the lower free energy I_MG state. This exit is slow, on a time scale of seconds, because of activation energy barriers. The trapped misfolded molecules as well as the I_MG molecules contract continuously and slowly as structure develops. A phenomenological model of Markovian evolution of the polymer chain undergoing folding, incorporating these features, has been developed, which fits well the experimentally observed time evolution of distance distributions. The observation that the “wrong turn” to the misfolded state has not been eliminated by evolution belies the common belief that the folding of functional protein sequences is very different from that of a random heteropolymer, and the former have been selected by evolution to fold quickly.     

Settlement patterns of species in a marine fouling community and some mechanisms of succession

The succession of fouling organisms that settled on asbestos plates immersed at Garden Island. Western Australia, was partially caused by the settlement patterns of the species involved. Both temporal variations in the abundance and continuity of settlement of each species and the age of the communities in which each species settled abundantly contributed to producing the succession. Additionally, temporal variations in the settlement of each species probably resulted in variability in the pattern of succession.Balanus and Spirorbis, the two earliest species in the succession, settled continuously and abundantly so that they immediately occupied a substantial area. The species which predominated later in the succession, Anomia, Ostrea, encrusting bryozoans, and Mytilus, settled discontinuously so that they were unlikely to settle immediately on a newly immersed surface. Additionally, Anomia, Ostrea, and the encrusting bryozoans did not settle abundantly and did not occupy a substantial area while small. Thus, there was also a delay between the time when these species settled and the time when they had grown sufficiently large to occupy a substantial area.Mytilus was the only species that settled abundantly in established communities and thus could persist indefinitely in a community. Settlement of the other species which occurred earlier in the succession was largely restricted to newly immersed plates and consequently these species were limited in their duration in the succession by the life-spans of the individual organisms.     

Convergence of community composition during secondary succession on Zokor rodent mounds on the Tibetan Plateau

Aims The community succession theory is much debated in ecology. We studied succession on Zokor rodent mounds on the Tibetan Plateau to address several fundamental questions, among them: (i) During secondary succession, does the community composition converge towards one community state or multiple states depending on the initial colonization? (ii) Do mound communities located in different background communities exhibit different assembly trajectories?Methods In a sub-alpine meadow, we investigated a total of 80 mound communities at several successional stages in three different background communities resulting from different management histories and compared their changes in species composition. The distribution of plant communities over time was analyzed with quantitative classification and ordination methods. The co-occurrence patterns of species were evaluated at each successional stage, and the degree of convergence/divergence among communities was obtained by calculating two beta-diversity indices.Important findings During secondary succession, species richness of mound communities changed over time, and this change was dependent on the background community. Five life-form groups exhibited different dynamic patterns in species richness and plant cover. Community composition and the degree of species co-occurrence between communities increased over time since disturbance. There was much variation in species composition at earlier stages of succession, but communities on older mounds became more similar to each other and to their surrounding vegetation over the course of secondary succession. Post-disturbance succession of Zokor mound communities transitioned from 'multiple alternative states' to 'background-based deterministic community assembly' over time. Tradeoffs between competition and colonization, as well as the characteristics of different life-forms and mass effects within a limited species pool are the mechanisms responsible for convergence of mound communities.     

A theoretical approach to G-protein modulation of cellular responsiveness

 Structure and function of cells often depend critically on molecular signals arriving at their surface. There are universal mechanisms of signal transduction and signal processing across cell membranes. In this paper the mechanisms involving guanine-nucleotide regulatory proteins (“G-proteins”) and certain receptor-kinases are considered. On the basis of recent findings in molecular biology a mathematical model is developed taking into account all essential components in the biochemical network between first and second messenger. There are two coupled feedback loops inherent in this process. The model finally consists of three nonlinear equations, which are obtained from a system of originally ten equations by using conservation laws and quasi-steady state conditions. The second part of the paper contains a mathematical analysis of the model. Solutions describing the temporal development of the involved biochemical species are shown to be bounded, more specifically to remain, independent of the size of the input signal, in a bounded domain of the state space. For the situation of stationary input signals existence, uniqueness and asymptotic stability of steady states are derived. We also demonstrate biologically relevant stimulus-response properties like monotonicity and saturation effects. For temporally non-constant input signals we show numerically that the model is able to produce phenomena of hypersensitivity and desensitization which are important characteristics of cellular responsiveness. Received 18 March 1996; received in revised form 15 April 1996     

Plant–plant interactions change during succession on nurse logs in a northern temperate rainforest

Plant–plant interactions change through succession from facilitative to competitive. At early stages of succession, early‐colonizing plants can increase the survival and reproductive output of other plants by ameliorating disturbance and stressful conditions. At later stages of succession, plant interactions are more competitive as plants put more energy toward growth and reproduction. In northern temperate rainforests, gap dynamics result in tree falls that facilitate tree regeneration (nurse logs) and bryophyte succession. How bryophyte‐tree seedling interactions vary through log succession remains unclear. We examined the relationships of tree seedlings, bryophyte community composition, bryophyte depth, and percent canopy cover in 166 1.0 m² plots on nurse logs and the forest floor in the Hoh rainforest in Washington, USA, to test the hypothesis that bryophyte‐tree seedling interactions change from facilitative to competitive as the log decays. Tree seedling density was highest on young logs with early‐colonizing bryophyte species (e.g., Rhizomnium glabrescens) and lowest on decayed logs with Hylocomium splendens, a long‐lived moss that reaches depths >20 cm. As a result, bryophyte depth increased with nurse log decay and was negatively associated with tree seedling density. Tree seedling density was 4.6× higher on nurse logs than on the forest floor, which was likely due to competitive exclusion by forest floor plants, such as H. splendens. Nurse logs had 17 species of bryophytes while the forest floor had six, indicating that nurse logs contribute to maintaining bryophyte diversity. Nurse logs enable both tree seedlings and smaller bryophyte species to avoid competition with forest floor plants, including the dominant bryophyte, H. splendens. H. splendens is likely a widespread driver of plant community structure given its dominance in northern temperate forests. Our findings indicate that plant–plant interactions shift with succession on nurse logs from facilitative to competitive and, thus, influence forest community structure and dynamics.     

Preferential Duplication of Intermodular Hub Genes: An Evolutionary Signature in Eukaryotes Genome Networks

Whole genome protein-protein association networks are not random and their topological properties stem from genome evolution mechanisms. In fact, more connected, but less clustered proteins are related to genes that, in general, present more paralogs as compared to other genes, indicating frequent previous gene duplication episodes. On the other hand, genes related to conserved biological functions present few or no paralogs and yield proteins that are highly connected and clustered. These general network characteristics must have an evolutionary explanation. Considering data from STRING database, we present here experimental evidence that, more than not being scale free, protein degree distributions of organisms present an increased probability for high degree nodes. Furthermore, based on this experimental evidence, we propose a simulation model for genome evolution, where genes in a network are either acquired de novo using a preferential attachment rule, or duplicated with a probability that linearly grows with gene degree and decreases with its clustering coefficient. For the first time a model yields results that simultaneously describe different topological distributions. Also, this model correctly predicts that, to produce protein-protein association networks with number of links and number of nodes in the observed range for Eukaryotes, it is necessary 90% of gene duplication and 10% of de novo gene acquisition. This scenario implies a universal mechanism for genome evolution.