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Antibody against tubulin from porcine brain was used to evaluate the immunological cross reactivity of tubulin from a variety of animal and plant cells. Indirect immunofluorescence microscopy revealed microtubule-containing structures including cytoplasmic microtubules, spindle microtubules, cilia and fIagella. Thus tubulin from diverse species of both mammals and plants show immunological cross-reactivity with tubulin from porcine brain. Results obtained by immunofluorescence microscopy are whenever possible compared with previously known ultrastructural results obtained by electron microscopy.
The production of extrafloral nectar and food bodies plays an important role in many tropical ant-plant mutualisms. In Malaysia, a close association exists between ants and some species of the pioneer tree genus Macaranga (Euphorbiaccac). Macaranga is a very diverse genus which exhibits all stages ofintcraction with ants, from facultative to obligatory associations. The ants nest inside the hollow inlcrnodes and reed mainly on food budies provided by the plants. Food body production had previously been reported only in myrrnecophytic Macaranga species, where it is usually coneentrated on protected parts or the plants such as recurved stipules. We found that non-myrmecophytic Macaranga species also produce food bodies on leaves and stems, where they are collected by a variety or ants. Levels of food body production differ between facultatively and obligatorily ant-associated species but also among the various non-myrmecophytes. This may he rdated to the degree of interaction with ants. Food body production starts at a younger age in the myrmccophytic species than in the transitional or non-myrmcccophytic Macaranga. Although food bodies of the non-inhabited Macaranga species are collected by a variety of ants, there is nu evidence of association with specific ant species. Our observations suggest that food bodies enhance the evolution of ant-plant interactions. Production of food bodies alone, however, does not appear to be the most important factor for the development of obligate myrmccopllytism in Macaranga.
Safer without Sex?
(1999)
Highly eusocial insect societies, such as all known ants, are typically characterized by a reproductive division of labor between queens, who are inseminated and reproduce, and virgin workers, who engage in foraging, nest maintenance and brood care. In most species workers have little reproductive options left: They usually produce haploid males by arrhenotokous parthenogenesis, both in the queenright and queenless condition. In the phylogenetically primitive subfamily Ponerinae reproductive caste dimorphism is much less pronounced: Ovarian morphology is rather similar in queens and workers, which additionally retain a spermatheca. In many ponerine species workers mate and may have completely replaced the queen caste. This similarity in reproductive potential provides for the evolution of diverse reproductive systems. In addition, it increases the opportunity for reproductive conflicts among nestmates substantially. Only in a handful of ant species, including Platythyrea punctata, workers are also able to rear diploid female offspring from unfertilized eggs by thelytokous parthenogenesis. The small ponerine ant P. punctata (Smith) is the only New World member of the genus reaching as far north as the southern USA, with its center of distribution in Central America and the West Indies. P. punctata occurs in a range of forest habitats including subtropical hardwood forests as well as tropical rain forests. In addition to queens, gamergates and thelytokous workers co-occur in the same species. This remarkable complexity of reproductive strategies makes P. punctata unique within ants and provides an ideal model system for the investigation of reproductive conflicts within the female caste. Colonies are usually found in rotten branches on the forest floor but may also be present in higher strata. Colonies contained on average 60 workers, with a maximum colony size of 148 workers. Queens were present in only ten percent of the colonies collected from Florida, but completely absent both from the populations studied in Barbados and Puerto Rico. Males were generally rare. In addition, morphological intermediates between workers and queens (so-called intercastes) were found in 16 colonies collected in Florida. Their thorax morphology varied from an almost worker-like to an almost queen-like thorax structure. Queen and intercaste size, however, did not differ from those of workers. Although workers taken from colonies directly after collection from the field engaged in aggressive interactions, nestmate discrimination ceased in the laboratory suggesting that recognition cues used are derived from the environment. Only one of six queens dissected was found to be inseminated but not fertile. Instead, in most queenless colonies, a single uninseminated worker monopolized reproduction by means of thelytokous parthenogenesis. A single mated, reproductive worker (gamergate) was found dominating reproduction in the presence of an inseminated alate queen only in one of the Florida colonies. The regulation of reproduction was closely examined in ten experimental groups of virgin laboratory-reared workers, in which one worker typically dominated reproduction by thelytoky despite the presence of several individuals with elongated, developing ovaries. In each group only one worker was observed to oviposit. Conflict over reproduction was intense consisting of ritualized physical aggression between some nestmates including antennal boxing, biting, dragging, leap and immobilization behaviors. The average frequency of interactions was low. Aggressive interactions allowed to construct non-linear matrices of social rank. On average, only five workers were responsible for 90 percent of total agonistic interactions. In 80 percent of the groups the rate of agonistic interactions increased after the experimental removal of the reproductive worker. While antennal boxing and biting were the most frequent forms of agonistic behaviors both before and after the removal, biting and dragging increased significantly after the removal indicating that agonistic interactions increased in intensity. Once a worker obtains a high social status it is maintained without the need for physical aggression. The replacement of reproductives by another worker did however not closely correlate with the new reproductive's prior social status. Age, however, had a profound influence on the individual rate of agonistic interactions that workers initiated. Especially younger adults (up to two month of age) and callows were responsible for the increase in observed aggression after the supersedure of the old reproductive. These individuals have a higher chance to become reproductive since older, foraging workers may not be able to develop their ovaries. Aggressions among older workers ceased with increasing age. Workers that already started to develop their ovaries should pose the greatest threat to any reproductive individual. Indeed, dissection of all experimental group revealed that aggression was significantly more often directed towards both individuals with undeveloped and developing ovaries as compared to workers that had degenerated ovaries. In all experimental groups reproductive dominance was achieved by callows or younger workers not older than four month. Age is a better predictor of reproductive dominance than social status as inferred from physical interactions. Since no overt conflict between genetical identical individuals is expected, in P. punctata the function of agonistic interactions in all-worker colonies, given the predominance of thelytokous parthenogenesis, remains unclear. Physical aggression could alternatively function to facilitate a smooth division of non-reproductive labor thereby increasing overall colony efficiency. Asexuality is often thought to constitute an evolutionary dead end as compared with sexual reproduction because genetic recombination is limited or nonexistent in parthenogenetic populations. Microsatellite markers were developed to investigate the consequences of thelytokous reproduction on the genetic structure of four natural populations of P. punctata. In the analysis of 314 workers taken from 51 colonies, low intraspecific levels of variation at all loci, expressed both as the number of alleles detected and heterozygosities observed, was detected. Surprisingly, there was almost no differentiation within populations. Populations rather had a clonal structure, with all individuals from all colonies usually sharing the same genotype. This low level of genotypic diversity reflects the predominance of thelytoky under natural conditions in four populations of P. punctata. In addition, the specificity of ten dinucleotide microsatellite loci developed for P. punctata was investigated in 29 ant species comprising four different subfamilies by cross-species amplification. Positive amplification was only obtained in a limited number of species indicating that sequences flanking the hypervariable region are often not sufficiently conserved to allow amplification, even within the same genus. The karyotype of P. punctata (2n = 84) is one of the highest chromosome numbers reported in ants so far. A first investigation did not show any indication of polyploidy, a phenomenon which has been reported to be associated with the occurrence of parthenogenesis. Thelytokous parthenogenesis does not appear to be a very common phenomenon in the Hymenoptera. It is patchily distributed and restricted to taxa at the distant tips of phylogenies. Within the Formicidae, thelytoky has been demonstrated only in four phylogenetically very distant species, including P. punctata. Despite its advantages, severe costs and constraints may have restricted its rapid evolution and persistence over time. The mechanisms of thelytokous parthenogenesis and its ecological correlates are reviewed for the known cases in the Hymenoptera. Investigating the occurrence of sexual reproduction in asexual lineages indicates that thelytokous parthenogenesis may not be irreversible. In P. punctata the occasional production of sexuals in some of the colonies may provide opportunity for outbreeding and genetic recombination. Thelytoky can thus function as a conditional reproductive strategy. Thelytoky in P. punctata possibly evolved as an adaptation to the risk of colony orphanage or the foundation of new colonies by fission. The current adaptive value of physical aggression and the production of sexuals in clonal populations, where relatedness asymmetries are virtually absent, however is less clear. Quite contrary, thelytoky could thereby serve as the stepping stone for the subsequent loss of the queen caste in P. punctata. Although P. punctata clearly fulfills all three conditions of eusociality, the evolution of thelytoky is interpreted as a first step in a secondary reverse social evolution towards a social system more primitive than eusociality.
In the various groups of social bees, different systems of communication about food sources occur. These communication systems are different solutions to a common problem of social insects: efficiently allocating the necessary number of workers first to the task of foraging and second to the most profitable food sources. The solution chosen by each species depends on the particular ecological circumstances as well as the evolutionary history of that species. For example, the outstanding difference between the bumble bee and the honey bee system is that honey bees can communicate the location of profitable food sources to nestmates, which bumble bees cannot. To identify possible selection pressures that could explain this difference, I have quantified the benefits of communicating location in honey bees. I show that these strongly depend on the habitat, and that communicating location might not benefit bees in temperate habitats. This could be due to the differing spatial distributions of resources in different habitats, in particular between temperate and tropical regions. These distributions may be the reason why the mostly temperate-living bumble bees have never evolved a communication system that allows them to transfer information on location of food sources, whereas most tropical social bees (all honey bees and many stingless bees) are able to recruit nestmates to specific points in their foraging range. Nevertheless, I show that in bumble bees the allocation of workers to foraging is also regulated by communication. Successful foragers distribute in the nest a pheromone which alerts other bees to the presence of food. This pheromone stems from a tergite gland, the function of which had not been identified previously. Usage of a pheromone in the nest to alert other individuals to forage has not been described in other social insects, and might constitute a new mode of communicating about food sources. The signal might be modulated depending on the quality of the food source. Bees in the nest sample the nectar that has been brought into the nest. Their decision whether to go out and forage depends not only on the pheromone signal, but also on the quality of the nectar they have sampled. In this way, foraging activity of a bumble bee colony is adjusted to foraging conditions, which means most bees are allocated to foraging only if high-quality food sources are available. In addition, foraging activity is adjusted to the amount of food already stored. In a colony with full honeypots, no new bees are allocated to foraging. These results help us understand how the allocation of workers to the task of food collection is regulated according to external and internal nest conditions in bumble bees.
We present the results of individual-based simulation experiments on the evolution of dispersal rates of organisms living in metapopulations. We find conflicting results regarding the relationship between local extinction rate and evolutionarily stable (ES) dispersal rate depending on which principal mechanism causes extinction: if extinction is caused by environmental catastrophes eradicating local populations, we observe a positive correlation between extinction and ES dispersal rate; if extinction is a consequence of stochastic local dynamics and environmental fluctuations, the correlation becomes ambiguous; and in cases where extinction is caused by dispersal mortality, a negative correlation between local extinction rate and ES dispersal rate emerges. We conclude that extinction rate, which both affects and is affected by dispersal rates, is not an ideal predictor for optimal dispersal rates.
This thesis extends the classical theoretical work of Macevicz and Oster (1976, expanded by Oster and Wilson, 1978) on adaptive life history strategies in social insects. It focuses on the evolution of dynamic behavioural patterns (reproduction and activity) as a consequence of optimal allocation of energy and time resources. Mathematical modelling is based on detailed empirical observations in the model species Lasioglossum malachurum (Halictidae; Hymenoptera). The main topics are field observations, optimisation models for eusocial life histories, temporal variation in life history decisions, and annual colony cycles of eusocial insects.
The optimal probability and distance of dispersal largely depend on the risk to end up in unsuitable habitat. This risk is highest close to the habitat’s edge and consequently, optimal dispersal probability and distance should decline towards the habitat’s border. This selection should lead to the emergence of spatial gradients in dispersal strategies. However, gene flow caused by dispersal itself is counteracting local adaptation. Using an individual based model we investigate the evolution of local adaptations of dispersal probability and distance within a single, circular, habitat patch. We compare evolved dispersal probabilities and distances for six different dispersal kernels (two negative exponential kernels, two skewed kernels, nearest neighbour dispersal and global dispersal) in patches of different size. For all kernels a positive correlation between patch size and dispersal probability emerges. However, a minimum patch size is necessary to allow for local adaptation of dispersal strategies within patches. Beyond this minimum patch area the difference in mean dispersal distance between center and edge increases linearly with patch radius, but the intensity of local adaptation depends on the dispersal kernel. Except for global and nearest neighbour dispersal, the evolved spatial pattern are qualitatively similar for both, mean dispersal probability and distance. We conclude, that inspite of the gene-flow originating from dispersal local adaptation of dispersal strategies is possible if a habitat is of sufficient size. This presumably holds for any realistic type of dispersal kernel.
In a nice assay published in Nature in 1993 the physicist Richard God III started from a human observer and made a number of witty conclusions about our future prospects giving estimates for the existence of the Berlin Wall, the human race and all the rest of the universe. In the same spirit, we derive implications for "the meaning of life, the universe and all the rest" from few principles. Adams´ absurd answer "42" tells the lesson "garbage in / garbage out" - or suggests that the question is non calculable. We show that experience of "meaning" and to decide fundamental questions which can not be decided by formal systems imply central properties of life: Ever higher levels of internal representation of the world and an escalating tendency to become more complex. An observer, "collecting observations" and three measures for complexity are examined. A theory on living systems is derived focussing on their internal representation of information. Living systems are more complex than Kolmogorov complexity ("life is NOT simple") and overcome decision limits (Gödel theorem) for formal systems as illustrated for cell cycle. Only a world with very fine tuned environments allows life. Such a world is itself rather complex and hence excessive large in its space of different states – a living observer has thus a high probability to reside in a complex and fine tuned universe.
Background: According to the classical model of Macevicz and Oster, annual eusocial insects should show a clear dichotomous "bang-bang" strategy of resource allocation; colony fitness is maximised when a period of pure colony growth (exclusive production of workers) is followed by a single reproductive period characterised by the exclusive production of sexuals. However, in several species graded investment strategies with a simultaneous production of workers and sexuals have been observed. Such deviations from the "bang-bang" strategy are usually interpreted as an adaptive (bet-hedging) response to environmental fluctuations such as variation in season length or food availability. To generate predictions about the optimal investment pattern of insect colonies in fluctuating environments, we slightly modified Macevicz and Oster's classical model of annual colony dynamics and used a dynamic programming approach nested into a recurrence procedure for the solution of the stochastic optimal control problem. Results: 1) The optimal switching time between pure colony growth and the exclusive production of sexuals decreases with increasing environmental variance. 2) Yet, for reasonable levels of environmental fluctuations no deviation from the typical bang-bang strategy is predicted. 3) Model calculations for the halictid bee Lasioglossum malachurum reveal that bet-hedging is not likely to be the reason for the graded allocation into sexuals versus workers observed in this species. 4) When environmental variance reaches a critical level our model predicts an abrupt change from dichotomous behaviour to graded allocation strategies, but the transition between colony growth and production of sexuals is not necessarily monotonic. Both, the critical level of environmental variance as well as the characteristic pattern of resource allocation strongly depend on the type of function used to describe environmental fluctuations. Conclusion: Up to now bet-hedging as an evolutionary response to variation in season length has been the main argument to explain field observations of graded resource allocation in annual eusocial insect species. However, our model shows that the effect of moderate fluctuations of environmental conditions does not select for deviation from the classical bang-bang strategy and that the evolution of graded allocation strategies can be triggered only by extreme fluctuations. Detailed quantitative observations on resource allocation in eusocial insects are needed to analyse the relevance of alternative explanations, e.g. logistic colony growth or reproductive conflict between queen and workers, for the evolution of graded allocation strategies.
The human genome has been sequenced since 2001. Most proteins have been characterized now and with everyday more bioinformatical predictions are experimentally verified. A project is underway to sequence thousand humans. But still, little is known about the evolution of the human proteome itself. Domains and their combinations are analysed in detail but not all of the human domain architectures at once. Like no one before, we have large datasets of high quality human protein-protein-protein interactions and complexes available which allow us to characterize the human proteome with unmatched accuracy. Advanced clustering algorithms and computing power enable us to gain new information about protein interactions without touching a pipette. In this work, the human proteome is analysed at three different levels. First, the origin of the different types of proteins was analysed based on their domain architectures. The second part focuses on the protein-protein interactions. Finally, in the third part, proteins are clustered based on their interactions and non-interactions. Most proteins are built of domains and their function is the sum of their domain functions. Proteins that share the same domain architecture, the linear order of domains are homologues and should have originated from one common ancestral protein. This ancestor was calculated for roughly 750 000 proteins from 1313 species. The relations between the species are based on the NCBI Taxonomy and additional molecular data. The resulting data set of 5817 domains and 32868 domain architectures was used to estimate the origin of these proteins based on their architectures. It could be observed, that new domain architectures are only in a small fraction composed of domains arisen at the same taxon. It was also found that domain architectures increase in length and complexity in the course of evolution and that different organisms like worm, and human share nearly the same amount of proteins but differ in their number of distinct domain architectures. The second part of this thesis focuses on protein-protein interactions. This chapter addresses the question how new evolved proteins form connections within the existing network. The network built of protein-protein interactions was shown to be scale free. Scale free networks, like the internet, consist of few hubs with many connections and many nodes with few connections. They are thought to arise by two mechanisms. First, newly emerged proteins interact with proteins of the network. Second, according to the theory of preferential attachment, new proteins have a higher chance to interact with already interaction rich proteins. The Human Protein Reference Database provides an on in-vivo interaction data based network for human. With the data obtained from chapter one, proteins were marked with their taxon of origin based on their domain architectures. The interaction ratio of proteins of the same taxa compared to all interactions was calculated and higher values than the random model showed for nearly every taxa. On the other hand, there was no enrichment of proteins originated at the taxon of cellular organisms for the node degree found. The node degree is the number of links for this node. According to the theorie of preferential attachment the oldest nodes should have the most interactions and newly arisen proteins should be preferably attached to them not together. Both could not be shown in this analysis, preferential attachment could therefore not be the only explanation for the forming of the human protein interaction network. Finally in part three, proteins and all their interactions in the network are analysed. Protein networks can be divided into smaller highly interacting parts carrying out specific functions. This can be done with high statistical significance but still, it does not reflect the biological significance. Proteins were clustered based on their interactions and non-interactions with other proteins. A version with eleven clusters showed high gene ontology based ratings and clusters related to specific cell parts. One cluster consists of proteins having very few interactions together but many to proteins of two other clusters. This first cluster is significantly enriched with transport proteins and the two others are enriched with extracellular and cytoplasm/membrane located proteins. The algorithm seems therefore well suited to reflect the biological importance behind functional modules. Although we are still far from understanding the origin of species, this work has significantly contributed to a better understanding of evolution at the protein level and has, in particular, shown the relation of protein domains and protein architectures and their preferences for binding partners within interaction networks.