Trade and industrial upgrading in countries of central and eastern Europe: patterns of scale and scope based learning

This paper explores mechanisms linking trade and restructuring in Central and Eastern European (CEE) countries through learning and industrial upgrading. These are reflected in changes in the composition of trade through changes in the relative shares of particular products and clusters in exports (scale), and in the number of products exported (scope). An analysis of export clusters shows the decreasing importance of commodities (homogeneous resource-based goods) and a shift toward technology and labor-intensive products to be a common trend. However, differences between the countries are strong with respect to changes in both scale and scope in technology and labor-intensive activities. These differences show that trade-based learning mechanisms have strong effects on differences in industrial upgrading between CEE economies

Lateral gene transfer between prokaryotes and multicellular eukaryotes: ongoing and significant?

The expansion of genome sequencing projects has produced accumulating evidence for lateral transfer of genes between prokaryotic and eukaryotic genomes. However, it remains controversial whether these genes are of functional importance in their recipient host. Nikoh and Nakabachi, in a recent paper in BMC Biology, take a first step and show that two genes of bacterial origin are highly expressed in the pea aphid Acyrthosiphon pisum. Active gene expression of transferred genes is supported by three other recent studies. Future studies should reveal whether functional proteins are produced and whether and how these are targeted to the appropriate compartment. We argue that the transfer of genes between host and symbiont may occasionally be of great evolutionary importance, particularly in the evolution of the symbiotic interaction itself

Identifying the science and technology dimensions of emerging public policy issues through horizon scanning

Public policy requires public support, which in turn implies a need to enable the public not just to understand policy but also to be engaged in its development. Where complex science and technology issues are involved in policy making, this takes time, so it is important to identify emerging issues of this type and prepare engagement plans. In our horizon scanning exercise, we used a modified Delphi technique [1]. A wide group of people with interests in the science and policy interface (drawn from policy makers, policy adviser, practitioners, the private sector and academics) elicited a long list of emergent policy issues in which science and technology would feature strongly and which would also necessitate public engagement as policies are developed. This was then refined to a short list of top priorities for policy makers. Thirty issues were identified within broad areas of business and technology; energy and environment; government, politics and education; health, healthcare, population and aging; information, communication, infrastructure and transport; and public safety and national security.Public policy requires public support, which in turn implies a need to enable the public not just to understand policy but also to be engaged in its development. Where complex science and technology issues are involved in policy making, this takes time, so it is important to identify emerging issues of this type and prepare engagement plans. In our horizon scanning exercise, we used a modified Delphi technique [1]. A wide group of people with interests in the science and policy interface (drawn from policy makers, policy adviser, practitioners, the private sector and academics) elicited a long list of emergent policy issues in which science and technology would feature strongly and which would also necessitate public engagement as policies are developed. This was then refined to a short list of top priorities for policy makers. Thirty issues were identified within broad areas of business and technology; energy and environment; government, politics and education; health, healthcare, population and aging; information, communication, infrastructure and transport; and public safety and national security

Whole genome sequencing to investigate the emergence of clonal complex 23 Neisseria meningitidis serogroup Y disease in the United States

In the United States, serogroup Y, ST-23 clonal complex Neisseria meningitidis was responsible for an increase in meningococcal disease incidence during the 1990s. This increase was accompanied by antigenic shift of three outer membrane proteins, with a decrease in the population that predominated in the early 1990s as a different population emerged later in that decade. To understand factors that may have been responsible for the emergence of serogroup Y disease, we used whole genome pyrosequencing to investigate genetic differences between isolates from early and late N. meningitidis populations, obtained from meningococcal disease cases in Maryland in the 1990s. The genomes of isolates from the early and late populations were highly similar, with 1231 of 1776 shared genes exhibiting 100% amino acid identity and an average πN = 0.0033 and average πS = 0.0216. However, differences were found in predicted proteins that affect pilin structure and antigen profile and in predicted proteins involved in iron acquisition and uptake. The observed changes are consistent with acquisition of new alleles through horizontal gene transfer. Changes in antigen profile due to the genetic differences found in this study likely allowed the late population to emerge due to escape from population immunity. These findings may predict which antigenic factors are important in the cyclic epidemiology of meningococcal disease

Endosymbiont DNA in Endobacteria-Free Filarial Nematodes Indicates Ancient Horizontal Genetic Transfer

Background: Wolbachia are among the most abundant symbiotic microbes on earth; they are present in about 66% of all insect species, some spiders, mites and crustaceans, and most filarial nematode species. Infected filarial nematodes, including many pathogens of medical and veterinary importance, depend on Wolbachia for proper development and survival. The mechanisms behind this interdependence are not understood. Interestingly, a minority of filarial species examined to date are naturally Wolbachia-free. Methodology/PrincipalFindings:We used 454 pyrosequencing to survey the genomes of two distantly related Wolbachia- free filarial species, Acanthocheilonema viteae and Onchocerca flexuosa. This screen identified 49 Wolbachia-like DNA sequences in A. viteae and 114 in O. flexuosa. qRT-PCR reactions detected expression of 30 Wolbachia-like sequences in A. viteae and 56 in O. flexuosa. Approximately half of these appear to be transcribed from pseudogenes. In situ hybridization showed that two of these pseudogene transcripts were specifically expressed in developing embryos and testes of both species. Conclusions/Significance: These results strongly suggest that the last common ancestor of extant filarial nematodes was infected with Wolbachia and that this former endosymbiont contributed to their genome evolution. Horizontally transferred Wolbachia DNA may explain the ability of some filarial species to live and reproduce without the endosymbiont while other species cannot

The spatial implications of homeworking: a Lefebvrian approach to the rewards and challenges of home-based work

In this theoretical article we propose an approach to the spatial implications of homeworking derived from the work of social theorist Henri Lefebvre. By highlighting the processes involved in the inherently contested and (re)constructed nature of space in the demarcated home/work environment we draw on Lefebvre to suggest a collapse of this demarcation. We consider the impact of such a collapse on questions relating to the rewards and challenges of home-based work for both workers and their co-residents. In contrast to our approach to the spatial implications of home-based work derived from Lefebvre, we argue that a traditional, Euclidean conception of space risks ignoring the important, symbolic nature of social space to the detriment of both the effective research and practice of homeworking

Horizontal gene transfer in silkworm, Bombyx mori

<p>Abstract</p> <p>Background</p> <p>The domesticated silkworm, <it>Bombyx mori</it>, is the model insect for the order Lepidoptera, has economically important values, and has gained some representative behavioral characteristics compared to its wild ancestor. The genome of <it>B. mori </it>has been fully sequenced while function analysis of <it>BmChi-h </it>and <it>BmSuc1 </it>genes revealed that horizontal gene transfer (HGT) maybe bestow a clear selective advantage to <it>B. mori</it>. However, the role of HGT in the evolutionary history of <it>B. mori </it>is largely unexplored. In this study, we compare the whole genome of <it>B. mori </it>with those of 382 prokaryotic and eukaryotic species to investigate the potential HGTs.</p> <p>Results</p> <p>Ten candidate HGT events were defined in <it>B. mori </it>by comprehensive sequence analysis using Maximum Likelihood and Bayesian method combining with EST checking. Phylogenetic analysis of the candidate HGT genes suggested that one HGT was plant-to- <it>B. mori </it>transfer while nine were bacteria-to- <it>B. mori </it>transfer. Furthermore, functional analysis based on expression, coexpression and related literature searching revealed that several HGT candidate genes have added important characters, such as resistance to pathogen, to <it>B. mori</it>.</p> <p>Conclusions</p> <p>Results from this study clearly demonstrated that HGTs play an important role in the evolution of <it>B. mori </it>although the number of HGT events in <it>B. mori </it>is in general smaller than those of microbes and other insects. In particular, interdomain HGTs in <it>B. mori </it>may give rise to functional, persistent, and possibly evolutionarily significant new genes.</p

Ergatis: a web interface and scalable software system for bioinformatics workflows

Motivation: The growth of sequence data has been accompanied by an increasing need to analyze data on distributed computer clusters. The use of these systems for routine analysis requires scalable and robust software for data management of large datasets. Software is also needed to simplify data management and make large-scale bioinformatics analysis accessible and reproducible to a wide class of target users