14 research outputs found

    Bewertungsportale - eine neue Qualität der Konsumenteninformation?

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    Bewertungsportale, in denen man seine Meinung zu Gütern oder Dienstleistungen äußern kann, sind seit einiger Zeit bekannt und verbreitet. Kann durch sie die Nachfrageseite eine neue, informationsgestützte Machtposition erlangen? Ein Projektteam des Instituts für Versicherungswesen an der TH Köln (ivwKöln) hat sich dieser Frage gewidmet und zunächst kontrastierende Hypothesen aus der Gegenüberstellung des informationsökonomischen und des diffusionstheoretischen Ansatzes entwickelt. Eine Hypothesengruppe bezog sich auf die Frage, von welchen Faktoren die Nachfrage und Wertschätzung von Bewertungsportalen abhängig ist, eine andere unterstellte, dass globale Produkteigenschaften auf der Dimension Such-, Erfahrungs-, Vertrauenseigenschaften sich auf die Nutzung von Portalen auswirkten. Untersucht wurden deshalb sehr unterschiedliche Portale, für Kleidung, Restaurants, Ärzte und Versicherungen. Empirische Grundlage war eine online-gestützte Befragung mit einem Convenience-Sample von 114 Befragten. Neben Studierenden des ivwKöln wurden Angestellte und Personen im Rentenalter zur Teilnahme motiviert, um eine breite Altersstreuung zu erreichen. Die Ergebnisse zur ersten Hypothesengruppe sprechen eindeutig für den diffusionstheoretischen Ansatz. Bei den beiden analysierbaren Portalen (Restaurants und Ärzte) ergibt sich: Entscheidende Faktoren für den Besuch von Restaurantportalen sind Internetaffinität, Alter, Produktinvolvement und Meinungsführerschaft; für den Besuch von Ärzteportalen sind es Internetaffinität und Produktinvolvement. Damit ist auch klar, dass sich die Machtposition der Nachfrager durch die Nutzung von Portalen allenfalls selektiv verstärkt. Die zweite Hypothese, dass Portalnutzung auch von globalen Produkteigenschaften abhängig sei, ließ sich nicht bestätigen.Review websites, where people can share their opinions on goods or services, are commonly known and widespread. But can they help the demand side reach a new, information-based position of power? A project group of the Institute of Insurance Studies at the TH Köln (ivwKöln) has tackled this question and initially created contrasting hypotheses from the point of view of information economics and from the point of view of the diffusion of innovations theory. One hypothesis group dealt with the question on which factors the demand and esteem of review websites depend, while another group assumed that global product features such search-, experience- and trustworthiness properties had an effect on the use of such review websites. For this reason, different types of review portals were examined, such as portals for clothes, restaurants, doctors and insurance companies. The empirical basis for this was a web-supported survey with a convenience sample of 114 people. Apart from students of the IVW, staff and people of pensionable age were encouraged to participate, thereby reaching a wider range of age groups. The results of the first hypothesis group clearly speak for the diffusion of innovations theoretical approach. The results of both examined portals (restaurants and doctors) show that decisive factors in visiting restaurant review websites are an affinity for the internet, age, product involvement and opinion leadership, while the use of doctor review platforms mostly depended on internet affinity and product involvement. This shows that the strengthening of the position of power of the consumers through the use of review websites is selective at best. The second hypothesis, stating that the use of portals also depends on global product features, could not be confirmed

    Plant F-Box Protein Evolution Is Determined by Lineage-Specific Timing of Major Gene Family Expansion Waves

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    <div><p>F-box proteins (FBPs) represent one of the largest and fastest evolving gene/protein families in the plant kingdom. The FBP superfamily can be divided in several subfamilies characterized by different C-terminal protein-protein interaction domains that recruit targets for proteasomal degradation. Hence, a clear picture of their phylogeny and molecular evolution is of special interest for the general understanding of evolutionary histories of multi-domain and/or large protein families in plants. In an effort to further understand the molecular evolution of F-box family proteins, we asked whether the largest subfamily in <i>Arabidopsis thaliana</i>, which carries a C-terminal F-box associated domain (FBA proteins) shares evolutionary patterns and signatures of selection with other FBPs. To address this question, we applied phylogenetic and molecular evolution analyses in combination with the evaluation of transcriptional profiles. Based on the 2219 FBA proteins we <i>de novo</i> identified in 34 completely sequenced plant genomes, we compared their evolutionary patterns to a previously analyzed large subfamily carrying C-terminal kelch repeats. We found that these two large FBP subfamilies generally tend to evolve by massive waves of duplication, followed by sequence conservation of the F-box domain and sequence diversification of the target recruiting domain. We conclude that the earlier in evolutionary time a major wave of expansion occurred, the more pronounced these selection signatures are. As a consequence, when performing cross species comparisons among FBP subfamilies, significant differences will be observed in the selective signatures of protein-protein interaction domains. Depending on the species, the investigated subfamilies comprise up to 45% of the complete superfamily, indicating that other subfamilies possibly follow similar modes of evolution.</p></div

    Molecular Evolution and Selection Patterns of Plant F-Box Proteins with C-Terminal Kelch Repeats1[W][OA]

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    The F-box protein superfamily represents one of the largest families in the plant kingdom. F-box proteins phylogenetically organize into numerous subfamilies characterized by their carboxyl (C)-terminal protein-protein interaction domain. Among the largest F-box protein subfamilies in plant genomes are those with C-terminal kelch repeats. In this study, we analyzed the phylogeny and evolution of F-box kelch proteins/genes (FBKs) in seven completely sequenced land plant genomes including a bryophyte, a lycophyte, monocots, and eudicots. While absent in prokaryotes, F-box kelch proteins are widespread in eukaryotes. Nonplant eukaryotes usually contain only a single FBK gene. In land plant genomes, however, FBKs expanded dramatically. Arabidopsis thaliana, for example, contains at least 103 F-box genes with well-conserved C-terminal kelch repeats. The construction of a phylogenetic tree based on the full-length amino acid sequences of the FBKs that we identified in the seven species enabled us to classify FBK genes into unstable/stable/superstable categories. In contrast to superstable genes, which are conserved across all seven species, kelch domains of unstable genes, which are defined as lineage specific, showed strong signatures of positive selection, indicating adaptational potential. We found evidence for conserved protein features such as binding affinities toward A. thaliana SKP1-like adaptor proteins and subcellular localization among closely related FBKs. Pseudogenization seems to occur only rarely, but differential transcriptional regulation of close relatives may result in subfunctionalization

    Patterns of selection in <i>FBA</i> genes.

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    <p>A, Average <i>K<sub>a</sub>/K<sub>s</sub></i> [ω by Yang <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0068672#pone.0068672-Yang3" target="_blank">[40]</a> and <i>g</i> by Comeron <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0068672#pone.0068672-Comeron1" target="_blank">[41]</a>] ratios calculated over the complete coding sequence of all stable and unstable genes in <i>A. thaliana</i> by comparison to <i>A. lyrata</i> orthologs. Error bars represent SE. The difference is significant according to Kruskal-Wallis test (P<0.01). B, Sliding window plots for the four stable genes. C, Sliding window plots for randomly chosen unstable genes. For sliding window analysis, nucleotide sequences of <i>A. thaliana</i> (indicated by Arabidopsis Genome Initiative identifier) and orthologous nucleotide sequences of <i>A. lyrata</i> (indicated by protein identifier according to the Joint Genome Institute) were used. Window size was 150 bp, and step size was 9 bp. Light gray boxes highlight the position of the F-box domain, and dark gray boxes highlight the FBA-D position.</p

    Number of unstable, stable and singleton FBA proteins in <i>A. thaliana</i>, <i>V. vinifera</i>, <i>P. trichocarpa</i>, <i>O. sativa</i>, <i>S. bicolor</i>, <i>S. moellendorffii</i>, <i>P. patens, and C.</i> sp. C-169.

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    <p>Number of unstable, stable and singleton FBA proteins in <i>A. thaliana</i>, <i>V. vinifera</i>, <i>P. trichocarpa</i>, <i>O. sativa</i>, <i>S. bicolor</i>, <i>S. moellendorffii</i>, <i>P. patens, and C.</i> sp. C-169.</p

    Evolutionary change in the number of FBA proteins in land plants.

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    <p>The numbers in rectangles and circles represent the maximum number of genes in ancestral and extant species, respectively. The numbers with plus and minus signs indicate gene gains and losses, respectively, for each branch. Bold lines represent branches with high gene expansion rate. N0: Chloroplastida ancestor, N1: land plant ancestor, N2: angiosperm ancestor, N3: monocot ancestor, N4: eudicot ancestor. Branch lengths are not in proportion to evolutionary time.</p

    Phylogeny of F-box proteins with C-terminal FBA domains in land plant species.

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    <p>A, Phylogenetic tree of <i>A. thaliana, V. vinifera, P. trichocarpa, O. sativa, S. bicolor, S. moellendorffii</i> and <i>P. patens</i> FBA proteins. Multiple sequence alignments of the full-length FBA protein sequences were performed using MUSCLE. The phylogenetic tree was generated using ML methods in GARLI. The tree was rooted with the FBA protein sequence of <i>Coccomyxa</i> sp. C-169. The color code corresponds to the different species. B, Ratios of unstable, stable and singleton FBA proteins in the seven analyzed land plant species.</p

    Number of FBA proteins in non-land plant model species.

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    <p>FBA proteins in non-land plant species were identified by screening the Interpro database from the EMBL-EBI website (<a href="http://www.ebi.ac.uk/interpro/" target="_blank">http://www.ebi.ac.uk/interpro/</a>) for proteins with the following domains: IPR007397 (F-box associated domain), IPR006527 (F-box associated domain_type1), IPR012885 (F-box associated domain_type2) and IPR013187 (F-box associated domain_type3). Identified proteins were verified for the presence of F-box and FBA domain using Pfam 26.0 <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0068672#pone.0068672-Punta1" target="_blank">[27]</a>.</p

    Differential expression profiles of phylogenetically closely related <i>FBA</i> genes.

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    <p>A, Mean expression values for unstable and stable <i>A. thaliana FBA</i> genes extracted from AtGenExpress_Plus-extended_tissue_series <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0068672#pone.0068672-Toufighi1" target="_blank">[42]</a>. Error bars represent SE. Statistical significance was assessed using Student´s t-test (***P<0.001). B, NJ tree of 211 <i>A. thaliana</i> FBA proteins based on amino acid sequence homology. C, Clustering of 102 <i>A. thaliana</i> FBA proteins based on co-expression data from the AtGenExpress_Plus-extended_tissue_series. Discrepancy in the number of FBA genes/proteins between the trees in A and B results from 109 missing <i>FBA</i> genes on the ATH1 microarray. Two clades were selected for which all genes had representatives in the ATH1-Chip for illustration purposes (highlighted in green and red font). All other genes were collapsed and labeled according to the number of <i>FBA</i> genes within the respective branches.</p

    Phylogeny of species included in this analysis and number of FBA proteins identified.

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    <p>The tree represents the phylogenetic relationships between the species analyzed. Branch lengths are not in proportion to evolutionary time. The number of FBA proteins identified per species is indicated next to the species name. Species included in the phylogenetic reconstruction of FBA protein evolution are indicated.</p
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