243 research outputs found

    Validity and Reliability of the Balance Tracking System™ During Static Stance

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    Introduction: The Balance Tracking System™ (BTrackS™) is a balance board designed to quickly analyze postural control through center of pressure (COP) analysis. Purpose: Examine concurrent validity and test-retest reliability of the BTrackS™ during static stance. Methods: A convenience sample of 51 healthy collegiate students between 18 - 25 years old (21.8 ± 3.1 years) completed four, 20 second (s) trials of feet together static stance during both eyes open and closed trials. Data was simultaneously collected on the BTrackS™ and a laboratory force plate to establish concurrent validity. A second testing session was administered 48 - 72 hours later to establish test-retest reliability. Independent variables were device (BTrackS™/force plate) and time (Time Point 1/Time Point 2). Dependent variables were anterior-posterior (AP) and medial-lateral (ML) COP excursion. Eight Pearson’s Product Correlations were used to compare the relationship of dependent variables between the BTrackS™ and laboratory force plate. Four Intra-Class Correlations (ICC) were used to compare the relationship of dependent variables between Time Point 1 and Time Point 2 measured by the BTrackS™. Four 2 x 2 (device x time) repeated measures ANOVA’s were used to determine the magnitude of differences within independent variables. Results: Pearson Product Correlations showed an excellent relationship (r = 0.867 – 0.968) between the BTrackS™ and laboratory force plate. However, the 2 x 2 repeated measures ANOVA’s showed a significant difference between devices during both eyes open and closed conditions for all dependent variables (p \u3c 0.001). Intra-Class Correlations showed an excellent relationship (ICC = 0.859 – 0.984) between time points for the BTrackS™. The 2 x 2 repeated measures ANOVA’s showed no significant differences between time points for the BTrackS™ during eyes open and closed conditions for all dependent variables (p = 0.185 – 0.976). Conclusion: Findings suggest that the BTrackS™ is strongly correlated with a laboratory force plate, but is significantly different. The BTrackS™ is strongly correlated and not significantly different within 48 - 72 hours. Additional research regarding an acceptable difference between the BTrackS™ and a laboratory force plate is warranted before it can be used clinically

    Efficiency of coffee seeds rna extraction protoco using rna integrity number analysis.

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    Coffee is one of the most important agricultural products in the world market. The mode of coffee processing, whether wet or dry, determines the flavor characteristic and also the seed quality. Quality RNA isolation is a mandatory requirement for studies of gene expression, including reverse transcriptase (RT), real-time quantitative PCR (RT-qPCR), construction of cDNA libraries, or microarray analyses. Due to the presence of secondary metabolites, polysaccharides, and polyphenols, standardization of a quality RNA extraction for different coffee plant tissue is very difficult. Also, getting high-quality RNA may be complicated because of RNA susceptibility to RNase degradation

    Recently Duplicated Maize R2R3 Myb

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    Differential expression in Coffea arabica seeds during the processing and drying.

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    Coffee is one of the most important agricultural products in the world market. The mode of coffee processing, whether wet or dry, determines the characteristic flavor and also the seed quality. In recent years, high-throughput RNA-sequencing (RNA-Seq) has emerged as a powerful and cost-efficient tool for transcriptome analysis. RNA-Seq has proven useful for the detection of gene expression, the discovery of novel transcripts, and the identification of differentially expressed genes. In this study, we applied Illumina sequencing technology and the Heat Map analysis for differential expression. Coffee seeds were processed by three different methods, dry, semi-dry or wet, and were dried under shade or dryer conditions. The samples were used to prepare a cDNA library for sequence analysis via Illumina (HiSeq 2000). After removal of low-quality reads, a total of 125,829,579 high-quality 50 bp reads were identified. As can be seen in the Heat Map graphic representation, semi-dry/dryer methods are separated from wet/dyer methods, with high differential expression. This representation indicates they have much differential expression in different metabolic pathways. However, semi-dry/shade and wet/shade have similar differential expression. These results provide information on how the processing and drying methods influences gene expression, and suggest that that more detailed analyzes in metabolic pathway studies are required

    Global analysis of differential expression in Coffea arabica seeds during the processing and drying.

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    Coffee is one of the most important agricultural commodities and ensures the livelihood of more than 80 million people worldwide. The mode of coffee processing, whether wet or dry, determines the flavor characteristic and also the seed quality. Novel, high-throughput, deep- sequencing technologies are making an impact on genomic research by providing new strategies to analyze the functional complexity of transcriptomes. The RNA-Seq approach produces millions of short cDNA reads that are mapped to a reference genome to obtain a genome-scale transcriptional map, which consists of the transcriptional structure and the expression level for each gene. In this study we applied Illumina sequencing technology and the Venn diagram analysis for differential expression. Coffee seeds were processed by three different methods, dry, semi-dry or wet, and were dried under shade or dryer conditions. The samples were used to prepare a cDNA library for sequence analysis via Illumina (HiSeq 2000). After removal of low-quality reads, a total of 125,829,579 high-quality 50 bp reads were identified. The reads were assembled using Trinity program using default parameters. It was compared our data against ESTs Brazilian Coffee Genome data and Coffee Colombian data. As can be seen in the Venn diagram representation, we ́ve got more blast in ESTs Brazilian Coffee Genome data than in Coffee Colombian data, indicating an alignment of 20,509 common sequences between ESTs Brazilian Coffee Genome and ?Assembly de Novo? sequence (our data)

    Tomato floral induction and flower development are orchestrated by the interplay between gibberellin and two unrelated microRNA-controlled modules

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    [EN] Age-regulated microRNA156 (miR156) and targets similarly control the competence to flower in diverse species. By contrast, the diterpene hormone gibberellin (GA) and the microRNA319-regulated TEOSINTE BRANCHED/CYCLOIDEA/PCF (TCP) transcription factors promote flowering in the facultative long-day Arabidopsis thaliana, but suppress it in the day-neutral tomato (Solanum lycopersicum). We combined genetic and molecular studies and described a new interplay between GA and two unrelated miRNA-associated pathways that modulates tomato transition to flowering. Tomato PROCERA/DELLA activity is required to promote flowering along with the miR156-targeted SQUAMOSA PROMOTER BINDING-LIKE (SPL/SBP) transcription factors by activating SINGLE FLOWER TRUSS (SFT) in the leaves and the MADS-Boxgene APETALA1(AP1)/MC at the shoot apex. Conversely, miR319-targeted LANCEOLATE represses floral transition by increasing GA concentrations and inactivating SFT in the leaves and AP1/MC at the shoot apex. Importantly, the combination of high GA concentrations/responses with the loss of SPL/SPB function impaired canonical meristem maturation and flower initiation in tomato. Our results reveal a cooperative regulation of tomato floral induction and flower development, integrating age cues (miR156 module) with GA responses and miR319-controlled pathways. Importantly, this study contributes to elucidate the mechanisms underlying the effects of GA in controlling flowering time in a day-neutral species.We thank Dr C. Schommer for kindly providing tcp4-soj8/+ seeds, and Carlos Rojas for Arabidopsis flowering time analyses. This work was supported by FAPESP (grant no. 15/17892-7 and fellowships nos 15/23826-7 and 13/16949-0). The authors declare no conflict of interest.Silva, G.; Silva, E.; Correa, J.; Vicente, M.; Jiang, N.; Notini, M.; Junior, A.... (2018). Tomato floral induction and flower development are orchestrated by the interplay between gibberellin and two unrelated microRNA-controlled modules. New Phytologist. 221(3):1328-1344. https://doi.org/10.1111/nph.15492S132813442213Andrés, F., & Coupland, G. (2012). The genetic basis of flowering responses to seasonal cues. Nature Reviews Genetics, 13(9), 627-639. doi:10.1038/nrg3291Bassel, G. W., Mullen, R. T., & Bewley, J. D. (2008). procerais a putative DELLA mutant in tomato (Solanum lycopersicum): effects on the seed and vegetative plant. Journal of Experimental Botany, 59(3), 585-593. doi:10.1093/jxb/erm354Ben‐Naim, O., Eshed, R., Parnis, A., Teper‐Bamnolker, P., Shalit, A., Coupland, G., … Lifschitz, E. (2006). The CCAAT binding factor can mediate interactions between CONSTANS‐like proteins and DNA. The Plant Journal, 46(3), 462-476. doi:10.1111/j.1365-313x.2006.02706.xBoss, P. K., & Thomas, M. R. (2002). Association of dwarfism and floral induction with a grape ‘green revolution’ mutation. Nature, 416(6883), 847-850. doi:10.1038/416847aBurko, Y., Shleizer-Burko, S., Yanai, O., Shwartz, I., Zelnik, I. D., Jacob-Hirsch, J., … Ori, N. (2013). A Role for APETALA1/FRUITFULL Transcription Factors in Tomato Leaf Development. The Plant Cell, 25(6), 2070-2083. doi:10.1105/tpc.113.113035Cardon, G., Höhmann, S., Klein, J., Nettesheim, K., Saedler, H., & Huijser, P. (1999). Molecular characterisation of the Arabidopsis SBP-box genes. Gene, 237(1), 91-104. doi:10.1016/s0378-1119(99)00308-xCarrera, E., Ruiz-Rivero, O., Peres, L. E. P., Atares, A., & Garcia-Martinez, J. L. (2012). Characterization of the procera Tomato Mutant Shows Novel Functions of the SlDELLA Protein in the Control of Flower Morphology, Cell Division and Expansion, and the Auxin-Signaling Pathway during Fruit-Set and Development. Plant Physiology, 160(3), 1581-1596. doi:10.1104/pp.112.204552Carvalho, R. F., Campos, M. L., Pino, L. E., Crestana, S. L., Zsögön, A., Lima, J. E., … Peres, L. E. (2011). Convergence of developmental mutants into a single tomato model system: «Micro-Tom» as an effective toolkit for plant development research. Plant Methods, 7(1), 18. doi:10.1186/1746-4811-7-18Cubas, P., Lauter, N., Doebley, J., & Coen, E. (1999). The TCP domain: a motif found in proteins regulating plant growth and development. The Plant Journal, 18(2), 215-222. doi:10.1046/j.1365-313x.1999.00444.xDavière, J.-M., Wild, M., Regnault, T., Baumberger, N., Eisler, H., Genschik, P., & Achard, P. (2014). Class I TCP-DELLA Interactions in Inflorescence Shoot Apex Determine Plant Height. 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Spatial control of flowering by DELLA proteins in Arabidopsis thaliana. Development, 139(21), 4072-4082. doi:10.1242/dev.080879García-Hurtado, N., Carrera, E., Ruiz-Rivero, O., López-Gresa, M. P., Hedden, P., Gong, F., & García-Martínez, J. L. (2012). The characterization of transgenic tomato overexpressing gibberellin 20-oxidase reveals induction of parthenocarpic fruit growth, higher yield, and alteration of the gibberellin biosynthetic pathway. Journal of Experimental Botany, 63(16), 5803-5813. doi:10.1093/jxb/ers229Gargul, J. M., Mibus, H., & Serek, M. (2013). Constitutive overexpression of Nicotiana GA 2 ox leads to compact phenotypes and delayed flowering in Kalanchoë blossfeldiana and Petunia hybrida. Plant Cell, Tissue and Organ Culture (PCTOC), 115(3), 407-418. doi:10.1007/s11240-013-0372-5Goldberg-Moeller, R., Shalom, L., Shlizerman, L., Samuels, S., Zur, N., Ophir, R., … Sadka, A. (2013). 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(2011). The SOC1-SPL module integrates photoperiod and gibberellic acid signals to control flowering time in Arabidopsis. The Plant Journal, 69(4), 577-588. doi:10.1111/j.1365-313x.2011.04813.xKing, R. W., & Ben-Tal, Y. (2001). A Florigenic Effect of Sucrose in Fuchsia hybrida Is Blocked by Gibberellin-Induced Assimilate Competition. Plant Physiology, 125(1), 488-496. doi:10.1104/pp.125.1.488Kubota, A., Ito, S., Shim, J. S., Johnson, R. S., Song, Y. H., Breton, G., … Imaizumi, T. (2017). TCP4-dependent induction of CONSTANS transcription requires GIGANTEA in photoperiodic flowering in Arabidopsis. PLOS Genetics, 13(6), e1006856. doi:10.1371/journal.pgen.1006856Kudla, J., & Bock, R. (2016). Lighting the Way to Protein-Protein Interactions: Recommendations on Best Practices for Bimolecular Fluorescence Complementation Analyses. The Plant Cell, 28(5), 1002-1008. doi:10.1105/tpc.16.00043Lifschitz, E., Eviatar, T., Rozman, A., Shalit, A., Goldshmidt, A., Amsellem, Z., … Eshed, Y. (2006). The tomato FT ortholog triggers systemic signals that regulate growth and flowering and substitute for diverse environmental stimuli. Proceedings of the National Academy of Sciences, 103(16), 6398-6403. doi:10.1073/pnas.0601620103Liu, J., Cheng, X., Liu, P., Li, D., Chen, T., Gu, X., & Sun, J. (2017). MicroRNA319-regulated TCPs interact with FBHs and PFT1 to activate CO transcription and control flowering time in Arabidopsis. PLOS Genetics, 13(5), e1006833. doi:10.1371/journal.pgen.1006833Livak, K. J., & Schmittgen, T. D. (2001). Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method. Methods, 25(4), 402-408. doi:10.1006/meth.2001.1262Livne, S., Lor, V. S., Nir, I., Eliaz, N., Aharoni, A., Olszewski, N. E., … Weiss, D. (2015). Uncovering DELLA-Independent Gibberellin Responses by Characterizing New Tomato procera Mutants. The Plant Cell, 27(6), 1579-1594. doi:10.1105/tpc.114.132795Lombardi-Crestana, S., da Silva Azevedo, M., e Silva, G. F. F., Pino, L. E., Appezzato-da-Glória, B., Figueira, A., … Peres, L. E. P. (2012). The Tomato (Solanum Lycopersicum cv. Micro-Tom) Natural Genetic Variation Rg1 and the DELLA Mutant Procera Control the Competence Necessary to Form Adventitious Roots and Shoots. Journal of Experimental Botany, 63(15), 5689-5703. doi:10.1093/jxb/ers221Lozano, R., Gimenez, E., Cara, B., Capel, J., & Angosto, T. (2009). Genetic analysis of reproductive development in tomato. The International Journal of Developmental Biology, 53(8-9-10), 1635-1648. doi:10.1387/ijdb.072440rlMartin, K., Kopperud, K., Chakrabarty, R., Banerjee, R., Brooks, R., & Goodin, M. M. (2009). Transient expression inNicotiana benthamianafluorescent marker lines provides enhanced definition of protein localization, movement and interactionsin planta. The Plant Journal, 59(1), 150-162. doi:10.1111/j.1365-313x.2009.03850.xMartínez-Bello, L., Moritz, T., & López-Díaz, I. (2015). 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    Regulatory modules controlling maize inflorescence architecture

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    Genetic control of branching is a primary determinant of yield, regulating seed number and harvesting ability, yet little is known about the molecular networks that shape grain-bearing inflorescences of cereal crops. Here, we used the maize (Zea mays) inflorescence to investigate gene networks that modulate determinacy, specifically the decision to allow branch growth. We characterized developmental transitions by associating spatiotemporal expression profiles with morphological changes resulting from genetic perturbations that disrupt steps in a pathway controlling branching. Developmental dynamics of genes targeted in vivo by the transcription factor RAMOSA1, a key regulator of determinacy, revealed potential mechanisms for repressing branches in distinct stem cell populations, including interactions with KNOTTED1, a master regulator of stem cell maintenance. Our results uncover discrete developmental modules that function in determining grass-specific morphology and provide a basis for targeted crop improvement and translation to other cereal crops with comparable inflorescence architectures

    Dickkopf-1 (Dkk-1) in plasma and synovial fluid is inversely correlated with radiographic severity of knee osteoarthritis patients

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    <p>Abstract</p> <p>Background</p> <p>Osteoarthritis (OA) is a common degenerative joint disease causing pain, stiffness, reduced motion, swelling, crepitus, and disability. Dickkopf-1 (Dkk-1) is a critical mediator of osteoblastogenesis and regulates the joint remodeling. The aim of this study was to examine plasma and synovial fluid Dkk-1 levels of patients with primary knee OA and to investigate their relationship with disease severity.</p> <p>Methods</p> <p>Thirty-five patients aged 55-83 years with knee OA and 15 healthy individuals were recruited into this study. Disease severity was determined using weight-bearing anteroposterior radiographs of the affected knee. The radiological grading of OA in the knee was performed according to the Kellgren-Lawrence grading system. Dkk-1 levels in both plasma and synovial fluid were evaluated using enzyme-linked immunosorbent assay.</p> <p>Results</p> <p>The average concentration of circulating Dkk-1 in the knee OA patients was remarkably lower than that of healthy controls (396.0 ± 258.8, 95%CI 307.1-484.9 vs 2348.8 ± 2051.5, 95%CI 1164.3-3533.3 pg/ml, p < 0.0001). Dkk-1 levels in synovial fluid were significantly lower than in paired plasma samples (58.6 ± 31.8, 95%CI 47.7-69.6 vs 396.0 ± 258.8, 95%CI 307.1-484.9 pg/ml, p < 0.001). Furthermore, both plasma and synovial fluid Dkk-1 levels were inversely correlated with radiographic severity (r = -0.78, p < 0.001 and r = -0.42, p = 0.01, respectively). Plasma Dkk-1 levels were also significantly correlated with synovial fluid Dkk-1 levels (r = 0.72, p < 0.001).</p> <p>Conclusions</p> <p>Dkk-1 levels in plasma and synovial fluid are inversely related to the severity of joint damage in knee OA. Dkk-1 could serve as a biochemical marker for determining disease severity and might play a potential role in the pathogenesis of the degenerative process of OA.</p

    Light-induced vegetative anthocyanin pigmentation in Petunia

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    The Lc petunia system, which displays enhanced, light-induced vegetative pigmentation, was used to investigate how high light affects anthocyanin biosynthesis, and to assess the effects of anthocyanin pigmentation upon photosynthesis. Lc petunia plants displayed intense purple anthocyanin pigmentation throughout the leaves and stems when grown under high-light conditions, yet remain acyanic when grown under shade conditions. The coloured phenotypes matched with an accumulation of anthocyanins and flavonols, as well as the activation of the early and late flavonoid biosynthetic genes required for flavonol and anthocyanin production. Pigmentation in Lc petunia only occurred under conditions which normally induce a modest amount of anthocyanin to accumulate in wild-type Mitchell petunia [Petunia axillaris×(Petunia axillaris×Petunia hybrida cv. ‘Rose of Heaven’)]. Anthocyanin pigmentation in Lc petunia leaves appears to screen underlying photosynthetic tissues, increasing light saturation and light compensation points, without reducing the maximal photosynthetic assimilation rate (Amax). In the Lc petunia system, where the bHLH factor Leaf colour is constitutively expressed, expression of the bHLH (Lc) and WD40 (An11) components of the anthocyanin regulatory system were not limited, suggesting that the high-light-induced anthocyanin pigmentation is regulated by endogenous MYB transcription factors

    POPcorn: An Online Resource Providing Access to Distributed and Diverse Maize Project Data

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    The purpose of the online resource presented here, POPcorn (Project Portal for corn), is to enhance accessibility of maize genetic and genomic resources for plant biologists. Currently, many online locations are difficult to find, some are best searched independently, and individual project websites often degrade over time—sometimes disappearing entirely. The POPcorn site makes available (1) a centralized, web-accessible resource to search and browse descriptions of ongoing maize genomics projects, (2) a single, stand-alone tool that uses web Services and minimal data warehousing to search for sequence matches in online resources of diverse offsite projects, and (3) a set of tools that enables researchers to migrate their data to the long-term model organism database for maize genetic and genomic information: MaizeGDB. Examples demonstrating POPcorn's utility are provided herein
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