1,298 research outputs found

    Sects and violence : development of an inclusive taxonomy to hermeneutically explore the histo-philosophical motivators for the inception and development of the martial art, Wing Chun Kue

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    Martial arts participation rates exceed those reported for a number of higher-profile physical activities (Sport England, 2002), however little research has been conducted to investigate the purported motivation and benefits participants derive (e.g. Jones, McKay and Peters, 2006; Ko, Kim and Valacich, 2010). A specific area often discussed is the notion of personal growth (Ko et al., 2010), either through a form of psychotherapy (e.g. Monahan, 2007), extenuating what may be deemed positive personality attributes (e.g. Kurian, Caterion and Kulhavy, 1993), lowering depression (e.g. Bodin and Martinsen, 2004), reducing aggression (e.g. Twemlow, Sacco and Fonagy, 2008) or reducing stress (e.g. Yan and Downing, 1998). Such personal growth is deemed to be transformatory in nature (e.g. Lancaster, 2004; Luskin, 2004; Hartelius, Caplan and Rardin, 2007).\ud Due to issues of generalisability within martial arts research (e.g. Jones et al., 2006), one style which has lacked a tradition of academic research has been selected for a case study. Wing Chun is a unique style, developing exponentially over the past forty years: a style which retains its fighting heritage, utilising exclusive training methods (e.g. Rawcliffe, 2003). Given the pragmatic nature of Wing Chun, an hermeneutic approach has been adopted to investigate the histo-philosophical motivation for the inception of the style to provide a context from which to explore current participant motivation.\ud Initially, an inclusive theoretical taxonomy has been developed for subsequent analysis. This hermeneutic analysis has been conducted through the development of a 360 degree mixed-methodological approach (e.g. Tashakkori and Teddlie, 2008) utilising exploratory and explanatory stages (e.g. Creswell and Plano-Clark, 2007) to ascertain the validity of the taxonomy. Findings are subsequently discussed in relation to the mixed-methodological approach.\ud From the taxonomy, a proposal is that an inherent link exists between the development of a better fighter and a better person while implying that the martial arts are a person-centred transformatory practice

    Accumulation of 5-hydroxynorvaline in maize (Zea mays) leaves is induced by insect feeding and abiotic stress.

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    Plants produce a wide variety of defensive metabolites to protect themselves against herbivores and pathogens. Non-protein amino acids, which are present in many plant species, can have a defensive function through their mis-incorporation during protein synthesis and/or inhibition of biosynthetic pathways in primary metabolism. 5-Hydroxynorvaline was identified in a targeted search for previously unknown non-protein amino acids in the leaves of maize (Zea mays) inbred line B73. Accumulation of this compound increases during herbivory by aphids (Rhopalosiphum maidis, corn leaf aphid) and caterpillars (Spodoptera exigua, beet armyworm), as well as in response to treatment with the plant signalling molecules methyl jasmonate, salicylic acid and abscisic acid. In contrast, ethylene signalling reduced 5-hydroxynorvaline abundance. Drought stress induced 5-hydroxynorvaline accumulation to a higher level than insect feeding or treatment with defence signalling molecules. In field-grown plants, the 5-hydroxynorvaline concentration was highest in above-ground vegetative tissue, but it was also detectable in roots and dry seeds. When 5-hydroxynorvaline was added to aphid artificial diet at concentrations similar to those found in maize leaves and stems, R. maidis reproduction was reduced, indicating that this maize metabolite may have a defensive function. Among 27 tested maize inbred lines there was a greater than 10-fold range in the accumulation of foliar 5-hydroxynorvaline. Genetic mapping populations derived from a subset of these inbred lines were used to map quantitative trait loci for 5-hydroxynorvaline accumulation to maize chromosomes 5 and 7

    Panzea: an update on new content and features

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    Panzea (http://www.panzea.org), the public web site of the project ‘Molecular and Functional Diversity in the Maize Genome’, has expanded over the past two years in data content, display tools and informational sections. The most significant data content expansions occurred for the single nucleotide polymorphism (SNP), sequencing, isozyme and phenotypic data types. We have enhanced our existing web display tools and have launched a number of new tools for data display and analysis. For example, we have implemented one that allows users to find polymorphisms between two accessions, a geographic map tool to visualize the geographic distribution of SNPs, simple sequence repeats (SSRs) and isozyme alleles and a graphical view of the placement of Panzea markers and genes/loci on genetic and physical maps. One goal of the informatics component of our project has been to generate code that can be used by other groups. We have enhanced our existing code base and have made our new tools available. Finally, we have also made available new informational sections as part of our educational and outreach efforts

    To Teach is To Learn: High-School Students, Local University and Informal Science Educators Collaborate in Communicating Science to the Public

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    Background: Informal education, especially if in collaboration with formal education, can be an important vehicle for communicating current research in science to the public as well as significant in drawing the young nearer to science and helping them to understand the inherent processes. Methods: In this paper we describe an international collaboration between a group of high-school students in Italy and Earth scientists and museum professionals from Italy and the US to plan and implement a scientific exhibition on symmetry, a topic chosen because of its connections to both Earth science and evolution. Results: By directly involving the high-school students in the design and implementation of the exhibition, they were given ownership of the project as well as ‘hands-on’ experience of communicating science to the public. The students involved helped design the content and layout of the exhibition, as well as with the design and fabrication of exhibition elements, marketing of the exhibition and evaluation. The design allowed the project manager to collect input from the students on how to make exhibitions more ‘user friendly’ to their age demographic, as well as to children and young adults in general. Although more research on similar projects is needed, evaluation results from this project showed that the response of the students - and of visitors - to the exhibition was significantly positive, and suggest that the project was engaging, cost effective and easy to implement. Conclusions: This project may serve as a template for other formal and informal educators to develop these types of collaborations, using informal science education as a bridge to link science researchers and middle- and high-school students in creating an environment where students learn through actively participating in the public communication of science

    Novel Bayesian Networks for Genomic Prediction of Developmental Traits in Biomass Sorghum.

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    The ability to connect genetic information between traits over time allow Bayesian networks to offer a powerful probabilistic framework to construct genomic prediction models. In this study, we phenotyped a diversity panel of 869 biomass sorghum (Sorghum bicolor (L.) Moench) lines, which had been genotyped with 100,435 SNP markers, for plant height (PH) with biweekly measurements from 30 to 120 days after planting (DAP) and for end-of-season dry biomass yield (DBY) in four environments. We evaluated five genomic prediction models: Bayesian network (BN), Pleiotropic Bayesian network (PBN), Dynamic Bayesian network (DBN), multi-trait GBLUP (MTr-GBLUP), and multi-time GBLUP (MTi-GBLUP) models. In fivefold cross-validation, prediction accuracies ranged from 0.46 (PBN) to 0.49 (MTr-GBLUP) for DBY and from 0.47 (DBN, DAP120) to 0.75 (MTi-GBLUP, DAP60) for PH. Forward-chaining cross-validation further improved prediction accuracies of the DBN, MTi-GBLUP and MTr-GBLUP models for PH (training slice: 30-45 DAP) by 36.4-52.4% relative to the BN and PBN models. Coincidence indices (target: biomass, secondary: PH) and a coincidence index based on lines (PH time series) showed that the ranking of lines by PH changed minimally after 45 DAP. These results suggest a two-level indirect selection method for PH at harvest (first-level target trait) and DBY (second-level target trait) could be conducted earlier in the season based on ranking of lines by PH at 45 DAP (secondary trait). With the advance of high-throughput phenotyping technologies, our proposed two-level indirect selection framework could be valuable for enhancing genetic gain per unit of time when selecting on developmental traits

    AnchorWave: Sensitive alignment of genomes with high sequence diversity, extensive structural polymorphism, and whole-genome duplication

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    Millions of species are currently being sequenced, and their genomes are being compared. Many of them have more complex genomes than model systems and raise novel challenges for genome alignment. Widely used local alignment strategies often produce limited or incongruous results when applied to genomes with dispersed repeats, long indels, and highly diverse sequences. Moreover, alignment using many-to-many or reciprocal best hit approaches conflicts with well-studied patterns between species with different rounds of whole-genome duplication. Here, we introduce Anchored Wavefront alignment (AnchorWave), which performs whole-genome duplication–informed collinear anchor identification between genomes and performs base pair–resolved global alignment for collinear blocks using a two-piece affine gap cost strategy. This strategy enables AnchorWave to precisely identify multikilobase indels generated by transposable element (TE) presence/absence variants (PAVs). When aligning two maize genomes, AnchorWave successfully recalled 87% of previously reported TE PAVs. By contrast, other genome alignment tools showed low power for TE PAV recall. AnchorWave precisely aligns up to three times more of the genome as position matches or indels than the closest competitive approach when comparing diverse genomes. Moreover, AnchorWave recalls transcription factor–binding sites at a rate of 1.05- to 74.85-fold higher than other tools with significantly lower false-positive alignments. AnchorWave complements available genome alignment tools by showing obvious improvement when applied to genomes with dispersed repeats, active TEs, high sequence diversity, and whole-genome duplication variation.This project is supported by the United States Department of Agriculture Agricultural Research Service, NSF No. 1822330, NSF No. 1854828, the European Union's Horizon 2020 Framework Programme under the DeepHealth project [825111], the European Union Regional Development Fund within the framework of The European Regional Development Fund Operational Program of Catalonia 2014 to 2020 with a grant of 50% of total cost eligible under the DRAC project [001-P-001723], and National Natural Science Foundation of China No. 31900486. M.C.S. was supported by NSF Postdoctoral Research Fellowship in Biology No. 1907343. M.M. was partially supported by the Spanish Ministry of Economy, Industry, and Competitiveness under Ramón y Cajal (RYC) fellowship number RYC-2016-21104.Peer ReviewedPostprint (published version

    A foundation for provitamin A biofortification of maize: genome-wide association and genomic prediction models of carotenoid levels.

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    Efforts are underway for development of crops with improved levels of provitamin A carotenoids to help combat dietary vitamin A deficiency. As a global staple crop with considerable variation in kernel carotenoid composition, maize (Zea mays L.) could have a widespread impact. We performed a genome-wide association study (GWAS) of quantified seed carotenoids across a panel of maize inbreds ranging from light yellow to dark orange in grain color to identify some of the key genes controlling maize grain carotenoid composition. Significant associations at the genome-wide level were detected within the coding regions of zep1 and lut1, carotenoid biosynthetic genes not previously shown to impact grain carotenoid composition in association studies, as well as within previously associated lcyE and crtRB1 genes. We leveraged existing biochemical and genomic information to identify 58 a priori candidate genes relevant to the biosynthesis and retention of carotenoids in maize to test in a pathway-level analysis. This revealed dxs2 and lut5, genes not previously associated with kernel carotenoids. In genomic prediction models, use of markers that targeted a small set of quantitative trait loci associated with carotenoid levels in prior linkage studies were as effective as genome-wide markers for predicting carotenoid traits. Based on GWAS, pathway-level analysis, and genomic prediction studies, we outline a flexible strategy involving use of a small number of genes that can be selected for rapid conversion of elite white grain germplasm, with minimal amounts of carotenoids, to orange grain versions containing high levels of provitamin A
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