Natural history of model organisms: The secret (group) life of Drosophila melanogaster larvae and why it matters to developmental ecology

1. Model organisms such as Drosophila melanogaster have been key tools for advancing our fundamental and applied knowledge in biological and biomedical sciences. However, model organisms have become intertwined with the idea of controlled and stable laboratory environments, and their natural history has been overlooked.
2. In holometabolous insects, lack of natural history information on larval ecology has precluded major advances in the field of developmental ecology, especially in terms of manipulations of population density early in life (i.e., larval density). This is because of relativistic and to some extent, arbitrary methodologies employed to manipulate larval densities in laboratory studies. As a result, these methodologies render comparisons between species impossible, precluding our understanding of macroevolutionary responses to population densities during development that can be derived from comparative studies.
3. We recently proposed a new conceptual framework to address this issue, and here, we provide the first natural history investigation of Drosophila melanogaster larval density under such framework. First, we characterized the distribution of larval densities in a wild population of D. melanogaster using rotting apples as breeding substrate in a suburban area in Sweden.
4. Next, we compiled the commonly used methodologies for manipulating larval densities in laboratory studies from the literature and found that the majority of laboratory studies identified did not manipulate larval densities below or above the densities observed in nature, suggesting that we have yet to study true life history and physiological responses to low and high population densities during D. melanogaster development.
5. This is, to our knowledge, the first direct natural history account of larval density in nature for this model organism. Our study paves the way for a more integrated view of organismal biology which re‐incorporates natural history of model organisms into hypothesis‐driven research in developmental ecology.

     

Application of the Percolation Theory to Random Networks of Biochemical Reactions

Percolation Theory is used to get statements about random networks. It can be seen that the probability distribution that vertices belong to a finite cluster in dependence on the mean catalytic activity C = K/N has an analogy to phase transition of second kind.     

Cartography and Clandestinité in Leïla Sebbar’s Shérazade: 17 ans, brune, frisée, les yeux verts

In this paper, I read Leïla Sebbar’s staging in her novel Shérazade: 17 ans, brune, frisée, les yeux verts of the resistance by children of North African and other immigrants in the early 1980s to the French state’s cartographic modes and documents of control. The paper will consider the many uses to which the map was put by the French state in its colonization of North Africa and particularly Algeria, and later in its attempts to control the banlieues its policies of citizenship and cartographic control yielded on the margins of Paris. In this context, I will explore the ways in which the novel’s characters, living clandestinely in a squatt, simultaneously resist, put to use, and even supercede state documents of control as they disrupt everyday life and conduct heists across the city of Paris. The paper will explore unofficial cartographies of Paris, from those afforded by the radios libres and alternative publications such as Libération and Sans Frontièrez, to oral and almost proverbial networks of knowledge criss-crossing the city of Paris, while also tracing the uses to which supplemental cartographic sketches and counterfeit identity cards are put in the pages of the novel. The paper will be in dialogue with theoretical and critical formulations of space, cartography, and state control put forward by Michel de Certeau, Henri Lefebvre, Michel Foucault, and Tom Conley. The paper will conclude with a consideration of the means and limits of resistance by the novel’s characters in the context of this body of theory and criticism.     

Evaluating the Feasibility of Eradicating an Invasion

The detectability of invasive organisms influences the costs and benefits of alternative control strategies, and the feasibility of eradicating an infestation. Search theory offers a mathematically rigorous framework for defining and measuring detectability taking account of searcher ability, biological factors and the search environment. In this paper, invasive species detectability is incorporated into a population simulation model. The model is applied to a base set of parameter values that represent reasonable values for a hypothetical weed. The analysis shows the effects of detectability and search effort on the duration of an eradication program. For a given level of detectability and search time, the analysis shows that the variables with the greatest influence on the duration of the eradication effort are search speed, kill efficiency, germination rate and seed longevity. Monte Carlo simulations are performed on a set of four weed scenarios, involving different combinations of plant longevity, seed longevity and plant fecundity. Results of these simulations are presented as probability distributions and allow us to calculate how the probability of eradication will be affected by search strategy.     

A theoretical study of myoglobin working as a nitric oxide scavenger

The mechanism for the reaction between nitric oxide (NO) and O₂ bound to the heme iron of myoglobin (Mb), including the following isomerization to nitrate, has been investigated using hybrid density functional theory (B3LYP). Myoglobin working as a NO scavenger could be of importance, since NO reversibly inhibits the terminal enzyme in the respiration chain, cytochrome c oxidase. The concentration of NO in the cell will thus affect the respiration and thereby the synthesis of ATP. The calculations show that the reaction between NO and the heme-bound O₂ gives a peroxynitrite intermediate whose O–O bond undergoes a homolytic cleavage, forming a NO₂ radical and myoglobin in the oxo-ferryl state. The NO₂ radical then recombines with the oxo-ferryl, forming heme-bound nitrate. Nine different models have been used in the present study to examine the effect on the reaction both by the presence and the protonation state of the distal His64, and by the surroundings of the proximal His93. The barriers going from the oxy-Mb and nitric oxide reactant to the peroxynitrite intermediate and further to the oxo-ferryl and NO₂ radical are around 10 and 7 kcal/mol, respectively. Forming the product, nitrate bound to the heme iron has a barrier of less than ~7 kcal/mol. The overall reaction going from a free nitric oxide and oxy-Mb to the heme bound nitrate is exergonic by more than 30 kcal/mol.     

A more-than-human approach to bioethics: The example of digital health

Digital health technologies are often advocated as a way of helping people monitor, promote and manage their health, care for others and reduce the burden on healthcare systems. Yet these technologies have also been subject to criticism for limiting human flourishing and exacerbating socioeconomic disadvantage. Bioethical appraisals of digital health technologies tend to take a conventional risk-benefit approach, positioning the human subject as a rational, autonomous agent who is acted on by technologies. In this paper, I present a case for adopting an alternative more-than-human perspective on bioethics. A more-than-human approach considers human-technological assemblages and agencies as distributed, relational, situated and emergent. To illustrate the insights that this perspective can offer, I draw on the findings of four empirical projects I have conducted on people’s use of digital devices and platforms used for health-related purposes, including social media groups and online forums, mobile apps and wearable devices. I conclude with the argument that a more-than-human approach to bioethics can begin to incorporate a new ‘zoë ethics’ that can acknowledge and address the deeper affective, multisensory and relational dimensions of humans’ encounters with and enactments of material things and nonhuman creatures.     

Interspecific competition between two species of the bean weevil

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Contributions from the Entomological Laboratory, Kyoto University, No. 110.     

Testing the Metabolic Scaling Theory of tree growth

1.  Metabolic Scaling Theory (MST) predicts a 'universal scaling law' of tree growth. Proponents claim that MST has strong empirical support: the size-dependent growth curves of 40 out of 45 species in a Costa Rican forest have scaling exponents indistinguishable from the MST prediction.
2.  Here, we show that the Costa Rican study has been misinterpreted. Using Standardized Major Axis (SMA) line-fitting to estimate scaling exponents, we find that four out of five species represented by more than 100 stems have scaling exponents that deviate significantly from the MST prediction. On the other hand, sample sizes were too small to make strong inferences in the cases of 33 species represented by fewer than 50 stems.
3.  Recently, it has been argued that MST is useful for predicting average scaling exponents, even if individual species do not conform to the theory. We find that the mean scaling exponent of the Costa Rican trees is greater than predicted (across-species mean  =  0.44), and hypothesize that scaling exponents in natural forests will generally be greater than predicted, because the theory fails to model asymmetric competition for light.
4.   Synthesis . We highlight shortcomings in the interpretation of data used in support of a key MST prediction. We recommend that future research into biological scaling should compare the merits of alternative models rather than focusing attention on tests of a single theory.