Several studies have shown how to leverage allele dosage information to improve the accuracy of genomic selection models in autotetraploids. In this study we expanded the methodology used for genomic selection in autotetraploids to higher (and mixed) ploidy levels. We adapted the models to build covariance matrices of both additive and digenic dominance effects that are subsequently used in genomic selection models. We applied these models using estimates of ploidy and allele dosage to sugarcane and sweet potato datasets and validated our results by also applying the models in simulated data. For the simulated datasets, including allele dosage information led up to 140% higher mean predictive abilities in comparison to using diploidized markers. Including dominance effects was highly advantageous when using diploidized markers, leading to mean predictive abilities which were up to 115% higher in comparison to only including additive effects. When the frequency of heterozygous genotypes in the population was low, such as in the sugarcane and sweet potato datasets, there was little advantage in including allele dosage information in the models. Overall, we show that including allele dosage can improve genomic selection in highly polyploid species under higher frequency of different heterozygous genotypic classes and high dominance degree levels.
In biological systems, liquid and solid-like biomolecular condensates may contain the same molecules but their behaviour, including movement, elasticity and viscosity, is different on account of distinct physicochemical properties. As such, it is known that phase transitions affect the function of biological condensates and that material properties can be tuned by several factors including temperature, concentration and valency. It is, however, unclear if some factors are more efficient than others at regulating their behaviour. Viral infections are good systems to address this question as they form condensates de novo as part of their replication programmes. Here, we used influenza A virus liquid cytosolic condensates, A.K.A viral inclusions, to provide a proof of concept that liquid condensate hardening via changes in the valency of its components is more efficient than altering their concentration or the temperature of the cell. Liquid IAV inclusions may be hardened by targeting vRNP interactions via the known NP oligomerizing molecule, nucleozin, both in vitro and in vivo without affecting host proteome abundance nor solubility. This study is a starting point for understanding how to pharmacologically modulate the material properties of IAV inclusions and may offer opportunities for alternative antiviral strategies.
Organizational Information Systems (IS) collect, store, and manage personal information through web applications and services. Due to regulation laws and to protect the privacy of clients, such information must be kept private. Some solutions were developed to protect privacy personal information. Obviously, this additional resource will produce a performance impact and evaluating it is essential to determine the feasibility of the solution. This paper presents a process model to evaluate the performance impact introduced by privacy protection solutions in web applications. Case study shows the tests were useful to identify the conditions in which the solution under evaluation is able to work with minimal performance impact.
Explicam-se as razões pelas quais modernamente em estruturas maiores e de acabamentos mais exigentes prevalece sempre, no dimensionamento de fundações, o condicionamento a recalques admissíveis, em comparação com os critérios de segurança perante a rotura. Fornecem-se indicações completas para a estimativa de recalques de fundações, quer direitas, quer profundas, reportando sempre à experiência profissional brasileira, rebatida contra o pano de fundo da teorização internacional mais actualizada e coerente. Em primeiro grau de aproximação utiliza-se o Standard Penetration Test, SPT, porém com ênfase em correcções indispensáveis. Indicam-se ensaios e cálculos mais aprimorados para os casos que mereçam um segundo grau de aproximação. Discutem-se os níveis de aceitação de recalques diferenciais e a decisão consciente respectiva.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.