1,506 research outputs found

    Multiculturalism and literature in the English classroom. A Swedish perspective

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    The Swedish curriculum of English states that one of the main goals in the subject is ‘the ability to discuss and reflect on living conditions, social issues and cultural features in different contexts and parts of the world where English is used’ (Skolverket, 2011, p 2). However, how this goal can or should be achieved is unclear, and this paper investigates whether multicultural literature could be useful. The investigation is divided into four sections where different aspects of multicultural literature are discussed: what culture in the English subject means, which qualities literature has in the context, what makes multicultural literature different and last but not least examples of how multicultural literature could be used practically in the English classroom. The obvious advantage of multicultural literature is that ‘silenced’ groups get represented. However, it takes much skill to achieve ultimate positive effects, and it is debated whether this literature could even be counterproductive. My main conclusion is that the Swedish school, due to global challenges and migration, needs more multicultural course content, among other things multicultural literature. Nevertheless, it would be even better if the genre was normalized, and general literature would get representative instead

    Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast.

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    Experiments in model organisms report abundant genetic interactions underlying biologically important traits, whereas quantitative genetics theory predicts, and data support, the notion that most genetic variance in populations is additive. Here we describe networks of capacitating genetic interactions that contribute to quantitative trait variation in a large yeast intercross population. The additive variance explained by individual loci in a network is highly dependent on the allele frequencies of the interacting loci. Modeling of phenotypes for multilocus genotype classes in the epistatic networks is often improved by accounting for the interactions. We discuss the implications of these results for attempts to dissect genetic architectures and to predict individual phenotypes and long-term responses to selection

    Kronoparkerna koloniseras

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    Consequences of epistasis on growth in an erhualian × white duroc pig cross

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    Epistasis describes an interaction between the effects of loci. We included epistasis in quantitative trait locus (QTL) mapping of growth at a series of ages in a cross of a Chinese pig breed, Erhualian, with a commercial line, White Duroc. Erhualian pigs have much lower growth rates than White Duroc. We improved a method for genomewide testing of epistasis and present a clear analysis workflow. We also suggest a new approach for interpreting epistasis results where significant additive and dominance effects of a locus in specific backgrounds are determined. In total, seventeen QTL were found and eleven showed epistasis. Loci on chromosomes 2, 3, 4 and 7 were highlighted as affecting growth at more than one age or forming an interaction network. Epistasis resulted in both the QTL on chromosomes 3 and 7 having effects in opposite directions. We believe it is the first time for the chromosome 7 locus that an allele from a Chinese breed has been found to decrease growth. The consequences of epistasis were diverse. Results were impacted by using growth rather than body weight as the phenotype and by correcting for an effect of mother. Epistasis made a considerable contribution to growth in this population and modelling epistasis was important for accurately determining QTL effects

    Genetic Influences on Brain Gene Expression in Rats Selected for Tameness and Aggression

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    Inter-individual differences in many behaviors are partly due to genetic differences, but the identification of the genes and variants that influence behavior remains challenging. Here, we studied an F2 intercross of two outbred lines of rats selected for tame and aggressive behavior towards humans for more than 64 generations. By using a mapping approach that is able to identify genetic loci segregating within the lines, we identified four times more loci influencing tameness and aggression than by an approach that assumes fixation of causative alleles, suggesting that many causative loci were not driven to fixation by the selection. We used RNA sequencing in 150 F2 animals to identify hundreds of loci that influence brain gene expression. Several of these loci colocalize with tameness loci and may reflect the same genetic variants. Through analyses of correlations between allele effects on behavior and gene expression, differential expression between the tame and aggressive rat selection lines, and correlations between gene expression and tameness in F2 animals, we identify the genes Gltscr2, Lgi4, Zfp40 and Slc17a7 as candidate contributors to the strikingly different behavior of the tame and aggressive animals

    The Multi-allelic Genetic Architecture of a Variance-Heterogeneity Locus for Molybdenum Concentration in Leaves Acts as a Source of Unexplained Additive Genetic Variance

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    Funding: We acknowledge support from the US National Institutes of Health (http://www.nih.gov/) (grant 2R01GM078536 to DES), European Commission (http://ec.europa.eu/index_en.htm) (grant PCIG9-GA-2011-291798 to DES) and UK Biotechnology and Biological Sciences Research Council (http://www.bbsrc.ac.uk/) (grants BB/L000113/1 to DES). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer reviewedPublisher PD

    Системний підхід у соціальній адаптації студентів-іноземців

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    SUMMARY: High-throughput genotyping and sequencing technologies facilitate studies of complex genetic traits and provide new research opportunities. The increasing popularity of genome-wide association studies (GWAS) leads to the discovery of new associated loci and a better understanding of the genetic architecture underlying not only diseases, but also other monogenic and complex phenotypes. Several softwares are available for performing GWAS analyses, R environment being one of them. RESULTS: We present cgmisc, an R package that enables enhanced data analysis and visualisation of results from GWAS. The package contains several utilities and modules that complement and enhance the functionality of the existing software. It also provides several tools for advanced visualisation of genomic data and utilises the power of the R language to aid in preparation of publication-quality figures. Some of the package functions are specific for the domestic dog (Canis familiaris) data. AVAILABILITY: The package is operating system-independent and is available from: https://github.com/cgmisc-team/cgmisc CONTACT: [email protected]
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