Sens-o-Spheres – Mobile, miniaturisierte Sensorplattform für die ortsungebundene Prozessmessung in wässrigen Lösungen

Zur Prozessmessung in Flüssigkeiten wird ein Konzept vorgestellt, das mittels miniaturisierter Sensorkugeln eine ortsveränderliche Aufnahme von Prozessmesssignalen – z. B. der Temperatur – ermöglicht und diese kontinuierlich aus dem Reaktionsvolumen an eine Basisstation überträgt. Das System beinhaltet nicht nur die Miniaturisierung der Messstelle auf einen Kugeldurchmesser von 7,8 mm sondern auch die Abstimmung der Gesamtdichte auf die Prozessbedingungen, um eine gleichmäßige Verteilung der Messpunkte auf das gesamte Reaktionsvolumen zu ermöglichen. Für die Verwendung im Bioprozess wurde eine bio-inerte Kapselung für die gesamte Messelektronik entwickelt und die Funktionstüchtigkeit in mehreren Bioreaktorsystemen demonstriert. Das Messsystem wird mit einer induktiv wieder aufladbaren Energiequelle betrieben und hat eine Reichweite von mehr als 30 cm durch die Flüssigkeitssäule

Entwicklung und Ungleichheit von Fähigkeiten : Anmerkungen aus ökonomischer Sicht

Nirgends sonst im ökonomischen Handeln fallen Kosten und Nutzen im Zeitablauf und aufgeteilt nach Investoren und Nutznießern so eklatant auseinander wie bei Bildungsinvestitionen. In dem vorliegenden Beitrag wird argumentiert, dass in der sozialen Realität die Bildungsungleichheit im Vorschulalter eine der wichtigsten Ursachen für die Ungleichheit von Fähigkeiten und Kompetenzen auch im Schulalter und im Erwerbsleben ist. Für benachteiligte Kinder scheint somit die Bildungsungleichheit vor dem Schulalter bei uns, ebenso wie in anderen Ländern mit hohen Bildungsausgaben und hoher Wirtschaftskraft ihren schicksalhaften Charakter noch keineswegs verloren zu haben. Um dies zu ändern, bleibt es eine vordringliche Aufgabe auch der Bildungspolitik, den Zugang zu einer angemessenen emotionalen Fürsorge von Anfang an weiter zu verbessern. Darüber hinaus ist es notwendig, den betroffenen Kindern bis ins Jugendalter altersgemäß und individuell zur Seite zu stehen

The Intra-Household Division of Labor – An Empirical Analysis of Spousal Influences on Individual Time Allocation

Regarding total working hours, including both paid and unpaid labor, hardly any differences between German men and women exist. However, whereas men allocate most of their time to market work, women still do most of the non-market work. Using the German Time Use Surveys 1991/92 and 2001/02, this paper aims to analyze the interactions between the time use decisions of partners within one household. Thereby, an interdependent model of the partners' times allocated to paid and unpaid work that allows for simultaneity and endogeneity of the time allocation decisions of the spouses is applied. The results suggest that male time in market and non-market work is unaffected by their wife's time use, while women adjust their time allocation to the time schedule of their partner. These findings might partly explain why in Germany - and other European countries as well - gender differences in employment and wages still persist.Die Studie untersucht die Arbeitsteilung von Paaren innerhalb eines Haushalts. Unter Verwendung von Zeitbudgeterhebungsdaten der Jahre 1991/92 und 2001/02 wird der Einfluss der Zeiteinteilung zwischen bezahlter und unbezahlter Arbeit des einen Partners auf die Zeitallokation des anderen Partners untersucht. Die Zeitallokationsentscheidungen der Partner werden dabei unter Verwendung eines interdependenten Modells geschätzt, das die Simultanität und Endogenität der Entscheidungen berücksichtigt. Die Ergebnisse zeigen deutliche Unterschiede hinsichtlich des Einflusses der Zeitverwendung des Partners zwischen Männern und Frauen. Während das Arbeitsangebot von Männern unabhängig von der Zeitallokation der Partnerin ist, passen Frauen ihr Arbeitsangebot an das ihres Partners an

Development and implementation of a highly-multiplexed SNP array for genetic mapping in maritime pine and comparative mapping with loblolly pine

<p>Abstract</p> <p>Background</p> <p>Single nucleotide polymorphisms (SNPs) are the most abundant source of genetic variation among individuals of a species. New genotyping technologies allow examining hundreds to thousands of SNPs in a single reaction for a wide range of applications such as genetic diversity analysis, linkage mapping, fine QTL mapping, association studies, marker-assisted or genome-wide selection. In this paper, we evaluated the potential of highly-multiplexed SNP genotyping for genetic mapping in maritime pine (<it>Pinus pinaster </it>Ait.), the main conifer used for commercial plantation in southwestern Europe.</p> <p>Results</p> <p>We designed a custom GoldenGate assay for 1,536 SNPs detected through the resequencing of gene fragments (707 <it>in vitro </it>SNPs/Indels) and from Sanger-derived Expressed Sequenced Tags assembled into a unigene set (829 <it>in silico </it>SNPs/Indels). Offspring from three-generation outbred (G2) and inbred (F2) pedigrees were genotyped. The success rate of the assay was 63.6% and 74.8% for <it>in silico </it>and <it>in vitro </it>SNPs, respectively. A genotyping error rate of 0.4% was further estimated from segregating data of SNPs belonging to the same gene. Overall, 394 SNPs were available for mapping. A total of 287 SNPs were integrated with previously mapped markers in the G2 parental maps, while 179 SNPs were localized on the map generated from the analysis of the F2 progeny. Based on 98 markers segregating in both pedigrees, we were able to generate a consensus map comprising 357 SNPs from 292 different loci. Finally, the analysis of sequence homology between mapped markers and their orthologs in a <it>Pinus taeda </it>linkage map, made it possible to align the 12 linkage groups of both species.</p> <p>Conclusions</p> <p>Our results show that the GoldenGate assay can be used successfully for high-throughput SNP genotyping in maritime pine, a conifer species that has a genome seven times the size of the human genome. This SNP-array will be extended thanks to recent sequencing effort using new generation sequencing technologies and will include SNPs from comparative orthologous sequences that were identified in the present study, providing a wider collection of anchor points for comparative genomics among the conifers.</p

DNA Barcode Sequence Identification Incorporating Taxonomic Hierarchy and within Taxon Variability

For DNA barcoding to succeed as a scientific endeavor an accurate and expeditious query sequence identification method is needed. Although a global multiple–sequence alignment can be generated for some barcoding markers (e.g. COI, rbcL), not all barcoding markers are as structurally conserved (e.g. matK). Thus, algorithms that depend on global multiple–sequence alignments are not universally applicable. Some sequence identification methods that use local pairwise alignments (e.g. BLAST) are unable to accurately differentiate between highly similar sequences and are not designed to cope with hierarchic phylogenetic relationships or within taxon variability. Here, I present a novel alignment–free sequence identification algorithm–BRONX–that accounts for observed within taxon variability and hierarchic relationships among taxa. BRONX identifies short variable segments and corresponding invariant flanking regions in reference sequences. These flanking regions are used to score variable regions in the query sequence without the production of a global multiple–sequence alignment. By incorporating observed within taxon variability into the scoring procedure, misidentifications arising from shared alleles/haplotypes are minimized. An explicit treatment of more inclusive terminals allows for separate identifications to be made for each taxonomic level and/or for user–defined terminals. BRONX performs better than all other methods when there is imperfect overlap between query and reference sequences (e.g. mini–barcode queries against a full–length barcode database). BRONX consistently produced better identifications at the genus–level for all query types

Should low-wage workers care about where they work? : Assessing the impact of employer characteristics on low-wage mobility

This paper studies the importance of employer-specific determinants in escaping low earnings in Germany. To address the initial conditions problem and the endogeneity of employer retention, we model (intra-firm) low-pay transitions using a multivariate Probit model that accounts for selection into low-wage employment and non-random employer drop-out. Using data from the LIAB Linked Employer–Employee panel, our results indicate that for male workers from the service sector the probability of escaping low-pay increases with employer size. This contrasts with female workers from the service sector, who rather benefit from collective bargaining coverage and local works councils. These findings are consistent with internal labour markets being an important ingredient of male within-firm wage growth, whereas the removal of asymmetric information appears to be more relevant in explaining female workers’ wage transitions

Importance of incomplete lineage sorting and introgression in the origin of shared genetic variation between two closely related pines with overlapping distributions

Genetic variation shared between closely related species may be due to retention of ancestral polymorphisms because of incomplete lineage sorting (ILS) and/or introgression following secondary contact. It is challenging to distinguish ILS and introgression because they generate similar patterns of shared genetic diversity, but this is nonetheless essential for inferring accurately the history of species with overlapping distributions. To address this issue, we sequenced 33 independent intron loci across the genome of two closely related pine species (Pinus massoniana Lamb. and Pinus hwangshanensis Hisa) from Southeast China. Population structure analyses revealed that the species showed slightly more admixture in parapatric populations than in allopatric populations. Levels of interspecific differentiation were lower in parapatry than in allopatry. Approximate Bayesian computation suggested that the most likely speciation scenario explaining this pattern was a long period of isolation followed by a secondary contact. Ecological niche modeling suggested that a gradual range expansion of P. hwangshanensis during the Pleistocene climatic oscillations could have been the cause of the overlap. Our study therefore suggests that secondary introgression, rather than ILS, explains most of the shared nuclear genomic variation between these two species and demonstrates the complementarity of population genetics and ecological niche modeling in understanding gene flow history. Finally, we discuss the importance of contrasting results from markers with different dynamics of migration, namely nuclear, chloroplast and mitochondrial DNA

Evolution of Genome Size and Complexity in Pinus

BACKGROUND: Genome evolution in the gymnosperm lineage of seed plants has given rise to many of the most complex and largest plant genomes, however the elements involved are poorly understood. METHODOLOGY/PRINCIPAL FINDINGS: Gymny is a previously undescribed retrotransposon family in Pinus that is related to Athila elements in Arabidopsis. Gymny elements are dispersed throughout the modern Pinus genome and occupy a physical space at least the size of the Arabidopsis thaliana genome. In contrast to previously described retroelements in Pinus, the Gymny family was amplified or introduced after the divergence of pine and spruce (Picea). If retrotransposon expansions are responsible for genome size differences within the Pinaceae, as they are in angiosperms, then they have yet to be identified. In contrast, molecular divergence of Gymny retrotransposons together with other families of retrotransposons can account for the large genome complexity of pines along with protein-coding genic DNA, as revealed by massively parallel DNA sequence analysis of Cot fractionated genomic DNA. CONCLUSIONS/SIGNIFICANCE: Most of the enormous genome complexity of pines can be explained by divergence of retrotransposons, however the elements responsible for genome size variation are yet to be identified. Genomic resources for Pinus including those reported here should assist in further defining whether and how the roles of retrotransposons differ in the evolution of angiosperm and gymnosperm genomes