535 research outputs found
Genome-wide SNP discovery and population structure analysis in pepper (Capsicum annuum) using genotyping by sequencing
BACKGROUND: Knowledge on population structure and genetic diversity in vegetable crops is essential for association mapping studies and genomic selection. Genotyping by sequencing (GBS) represents an innovative method for large scale SNP detection and genotyping of genetic resources. Herein we used the GBS approach for the genome-wide identification of SNPs in a collection of Capsicum spp. accessions and for the assessment of the level of genetic diversity in a subset of 222 cultivated pepper (Capsicum annum) genotypes. RESULTS: GBS analysis generated a total of 7,568,894 master tags, of which 43.4% uniquely aligned to the reference genome CM334. A total of 108,591 SNP markers were identified, of which 105,184 were in C. annuum accessions. In order to explore the genetic diversity of C. annuum and to select a minimal core set representing most of the total genetic variation with minimum redundancy, a subset of 222 C. annuum accessions were analysed using 32,950 high quality SNPs. Based on Bayesian and Hierarchical clustering it was possible to divide the collection into three clusters. Cluster I had the majority of varieties and landraces mainly from Southern and Northern Italy, and from Eastern Europe, whereas clusters II and III comprised accessions of different geographical origins. Considering the genome-wide genetic variation among the accessions included in cluster I, a second round of Bayesian (K = 3) and Hierarchical (K = 2) clustering was performed. These analysis showed that genotypes were grouped not only based on geographical origin, but also on fruit-related features. CONCLUSIONS: GBS data has proven useful to assess the genetic diversity in a collection of C. annuum accessions. The high number of SNP markers, uniformly distributed on the 12 chromosomes, allowed the accessions to be distinguished according to geographical origin and fruit-related features. SNP markers and information on population structure developed in this study will undoubtedly support genome-wide association mapping studies and marker-assisted selection programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3297-7) contains supplementary material, which is available to authorized users
Axessibility: a LaTeX Package for Mathematical Formulae Accessibility in PDF Documents
Accessing mathematical formulae within digital documents is challenging for blind people. In particular, document formats designed for printing, such as PDF, structure math content for visual access only. While accessibility features exist to present PDF content non-visually, formulae support is limited to providing replacement text that can be read by a screen reader or displayed on a braille bar. However, the operation of inserting replacement text is left to document authors, who rarely provide such content. Furthermore, at best, description of the formulae are provided. Thus, conveying detailed understanding of complex formulae is nearly impossible. In this contribution we report our ongoing research on Axessibility, a LATEX package framework that automates the process of making mathematical formulae accessible by providing the formulae LATEX code as PDF replacement text. Axessibility is coupled with external scripts to automate its integration in existing documents, expand user shorthand macros to standard LATEX representation, and custom screen reader dictionaries that improve formulae reading on screen readers
An automated method based on LATEX for the realization of accessible PDF documents containing formulae
Almond diversity and homozygosity define structure, kinship, inbreeding, and linkage disequilibrium in cultivated germplasm, and reveal genomic associations with nut and seed weight
Almond [Prunus dulcis Miller (D.A. Webb)] is the main tree nut species worldwide. Here, genotyping-by-sequencing (GBS) was applied to 149 almond cultivars from the ex situ collections of the Italian Council for Agricultural Research (CREA) and the Spanish National Research Council (CSIC), leading to the detection of 93,119 single-nucleotide polymorphisms (SNPs). The study of population structure outlined four distinct genetic groups and highlighted diversification between the Mediterranean and Californian gene pools. Data on SNP diversity and runs of homozygosity (ROHs) allowed the definition of kinship, inbreeding, and linkage disequilibrium (LD) decay in almond cultivated germplasm. Four-year phenotypic observations, gathered on 98 cultivars of the CREA collection, were used to perform a genome-wide association study (GWAS) and, for the first time in a crop species, homozygosity mapping (HM), resulting in the identification of genomic associations with nut, shell, and seed weight. Both GWAS and HM suggested that loci controlling nut and seed weight are mostly independent. Overall, this study provides insights on the almond cultivation history and delivers information of major interest for almond genetics and breeding. In a broader perspective, our results encourage the use of ROHs in crop science to estimate inbreeding, choose parental combinations minimizing the risk of inbreeding depression, and identify genomic footprints of selection for specific traits
Effects of a STATCOM, a SCRC and a UPFC on the Dynamic Behavior of a 45 Bus Section of the Brazilian Power System
DUNDRUM-2: Prospective validation of a structured professional judgment instrument assessing priority for admission from the waiting list for a forensic mental health hospital
<p>Abstract</p> <p>Background</p> <p>The criteria for deciding who should be admitted first from a waiting list to a forensic secure hospital are not necessarily the same as those for assessing need. Criteria were drafted qualitatively and tested in a prospective 'real life' observational study over a 6-month period.</p> <p>Methods</p> <p>A researcher rated all those presented at the weekly referrals meeting using the DUNDRUM-1 triage security scale and the DUNDRUM-2 triage urgency scale. The key outcome measure was whether or not the individual was admitted.</p> <p>Results</p> <p>Inter-rater reliability and internal consistency for the DUNDRUM-2 were acceptable. The DUNDRUM-1 triage security score and the DUNDRUM-2 triage urgency score correlated r = 0.663. At the time of admission, after a mean of 23.9 (SD35.9) days on the waiting list, those admitted had higher scores on the DUNDRUM-2 triage urgency scale than those not admitted, with no significant difference between locations (remand or sentenced prisoners, less secure hospitals) at the time of admission. Those admitted also had higher DUNDRUM-1 triage security scores. At baseline the receiver operating characteristic area under the curve for a combined score was the best predictor of admission while at the time of admission the DUNDRUM-2 triage urgency score had the largest AUC (0.912, 95% CI 0.838 to 0.986).</p> <p>Conclusions</p> <p>The triage urgency items and scale add predictive power to the decision to admit. This is particularly true in maintaining equitability between those referred from different locations.</p
Development of Potential Multi-Target Inhibitors for Human Cholinesterases and Beta-Secretase 1: A Computational Approach
Alzheimer’s disease causes chronic neurodegeneration and is the leading cause of dementia
in the world. The causes of this disease are not fully understood but seem to involve two essential
cerebral pathways: cholinergic and amyloid. The simultaneous inhibition of AChE, BuChE, and
BACE-1, essential enzymes involved in those pathways, is a promising therapeutic approach to treat
the symptoms and, hopefully, also halt the disease progression. This study sought to identify triple
enzymatic inhibitors based on stereo-electronic requirements deduced from molecular modeling
of AChE, BuChE, and BACE-1 active sites. A pharmacophore model was built, displaying four
hydrophobic centers, three hydrogen bond acceptors, and one positively charged nitrogen, and
used to prioritize molecules found in virtual libraries. Compounds showing adequate overlapping
rates with the pharmacophore were subjected to molecular docking against the three enzymes and
those with an adequate docking score (n = 12) were evaluated for physicochemical and toxicological
parameters and commercial availability. The structure exhibiting the greatest inhibitory potential
against all three enzymes was subjected to molecular dynamics simulations (100 ns) to assess the
stability of the inhibitor-enzyme systems. The results of this in silico approach indicate ZINC1733
can be a potential multi-target inhibitor of AChE, BuChE, and BACE-1, and future enzymatic assays
are planned to validate those results.PPBE and PPGCF/UEFS; Fundação de Amparo à Pesquisa
do Estado de Minas Gerais—FAPEMIG, grants APQ-02741-17, APQ-00855-19, APQ-01733-21, and
APQ-04559-22Conselho Nacional de Desenvolvimento CientÃfico e Tecnológico—CNPq-Brazil,
grants 305117/2017-3, 426261/2018-6Fellowship of 2021 (grant 310108/2020-9
FGF trapping inhibits multiple myeloma growth through c-Myc degradation-induced mitochondrial oxidative stress
Multiple myeloma (MM), the second most common hematological malignancy, frequently relapses because of chemotherapeutic resistance. Fibroblast growth factors (FGFs) act as pro-angiogenic and mitogenic cytokines in MM. Here, we demonstrate that the autocrine FGF/FGFR axis is essential for MM cell survival and progression by protecting MM cells from oxidative stress-induced apoptosis. In keeping with the hypothesis that the intracellular redox status can be a target for cancer therapy, FGF/FGFR blockade by FGF trapping or tyrosine kinase inhibitor impaired the growth and dissemination of MM cells by inducing mitochondrial oxidative stress, DNA damage and apoptotic cell death that were prevented by the antioxidant vitamin E or mitochondrial catalase overexpression. In addition, mitochondrial oxidative stress occurred as a consequence of proteasomal degradation of the c-Myc oncoprotein that led to glutathione depletion. Accordingly, expression of a proteasome-non-degradable c-Myc protein mutant was sufficient to avoid glutathione depletion and rescue the pro-apoptotic effects due to FGF blockade. These findings were confirmed on Bortezomib-resistant MM cells as well as on bone marrow-derived primary MM cells from newly diagnosed and relapsed/refractory patients, including plasma cells bearing the t(4;14) translocation obtained from high-risk MM patients. Altogether, these findings dissect the mechanism by which the FGF/FGFR system plays a non-redundant role in MM cell survival and disease progression, and indicate that FGF targeting may represent a therapeutic approach for MM patients with poor prognosis and advanced disease stage
Comparative modeling of DNA and RNA polymerases from Moniliophthora perniciosa mitochondrial plasmid
<p>Abstract</p> <p>Background</p> <p>The filamentous fungus <it>Moniliophthora perniciosa </it>(Stahel) Aime & Phillips-Mora is a hemibiotrophic Basidiomycota that causes witches' broom disease of cocoa (<it>Theobroma cacao </it>L.). This disease has resulted in a severe decrease in Brazilian cocoa production, which changed the position of Brazil in the market from the second largest cocoa exporter to a cocoa importer. Fungal mitochondrial plasmids are usually invertrons encoding DNA and RNA polymerases. Plasmid insertions into host mitochondrial genomes are probably associated with modifications in host generation time, which can be involved in fungal aging. This association suggests activity of polymerases, and these can be used as new targets for drugs against mitochondrial activity of fungi, more specifically against witches' broom disease. Sequencing and modeling: DNA and RNA polymerases of <it>M. perniciosa </it>mitochondrial plasmid were completely sequenced and their models were carried out by Comparative Homology approach. The sequences of DNA and RNA polymerase showed 25% of identity to 1XHX and 1ARO (pdb code) using BLASTp, which were used as templates. The models were constructed using Swiss PDB-Viewer and refined with a set of Molecular Mechanics (MM) and Molecular Dynamics (MD) in water carried out with AMBER 8.0, both working under the ff99 force fields, respectively. Ramachandran plots were generated by Procheck 3.0 and exhibited models with 97% and 98% for DNA and RNA polymerases, respectively. MD simulations in water showed models with thermodynamic stability after 2000 ps and 300 K of simulation.</p> <p>Conclusion</p> <p>This work contributes to the development of new alternatives for controlling the fungal agent of witches' broom disease.</p
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