937 resultados para clonal selection algorithm


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The objective of this work was to propose a new selection strategy for the initial stages of sugarcane improvement, based on the methodology 'simulated individual BLUP (BLUPIS)', which promotes a dynamic allocation of individuals selected in each full-sib family, using BLUP as a base for both the genotypic effects of the referred families and plot effects. The method proposed applies to single full-sib families or those obtained from unbalanced or balanced diallel crosses, half-sib families and self-pollinated families. BLUPIS indicates the number of individuals to be selected within each family, the total number of clones to be advanced, and the number of families to contribute with selected individuals. Correlation between BLUPIS and true BLUP was 0.96, by method validation. Additionally, BLUPIS allows the identification of which replication contains the best individuals of each family.

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Summary The mechanisms regulating the protective immune T-cell responses generated against the persistent Epstein-Barr virus (EBV) and Cytomegaloviru_s (CNIV) remain poorly understood. We analyzed the dynamics of cellular differentiation and T-cell receptor (TCR) clonotype selection of EBV- and CMV-specific T-cells in healthy adults and melanoma patients. While these responses could be subdivided into four T lymphocyte populations, théir proportions varied between EBV and CMV specific responses. Phenotypic and TCR clonotypic analyses supported a linear model of differentiation from the early-differentiated (EM/CD28pos) subset to the late-differentiatdc (EMRA/CD28neg) subset. In-depth clonal composition analyses revealed TCR repertoires, which were highly restricted for CMV- and relatively diverse for EBV-specific cells. Virtually all virus-specific clonotypes identified in the EMRA/CD28neg subset were also found within the pool of less differentiated "memory" cells. However, striking differences in the patterns of dominance were observed among these subsets, as some clonotypes were selected with differentiation, while others were not. Latedifferentiated CMV-specific clonotypes were mostly characterized by TCRs with lower dependency on CD8 co-receptor interaction. Yet all clonotypes displayed similar functional avidities, suggesting a compensatory role of CD8 in the clonotypes of lower TCR avidity. Importantly, clonotype selection and composition of each virus-specific subset upon differentiation was highly preserved over time, with the presence of the same dominant clonotypes at specific differentiation stages within a period of four years. This work was extended to the study of EBV-specific CD8 T-cell responses in melanoma patients undergoing transient lymphodepletion, followed by adoptive cell transfer (ACT) and immune reconstitution for thè treatment of their tumors. Following treatment regimen, we first observed an increase in the proportion of virus-specific T-cells in 3 out of 5 patients, accompanied by a more differentiated phenotype (EMRA/CD28neg), compared to specific cells of healthy individuals. Yet, similarly to healthy donors, clonotype selection and composition of virus-specific T-cells varied along the pathway of cellular differentiation, with some clonotypes being selected with differentiation, while others were not. Intriguingly, no novel clonotypes emerged following transient immuno-suppression and homeostatic proliferation, finding which was subsequently explained by the absence of EBV reactivation. The distribution of each clonotype within early- and late-differentiated T-cell subsets in 4 out 5 patients was highly stable over time, with those clonotypes initially found before the start of treatment that were again present at specific differentiation stages after transient lymphodepletion and ACT. These findings uncover novel features of the highly sophisticated control of steady state protective T-cell immune responses against persistent herpesviruses in healthy adults. Furthermore they reveal the striking stability of these responses in terms of clonotype selection and composition with T-cell differentiation even in situations where the immune system has been. challenged. Résumé : Les mécanismes qui régulent les réponses immunitaires de type protectrices, générées contre les virus chroniquement persistants tels que l'Epstein-Barr (EBV) ou le Cytomegalo (CMV) restent largement inconnus. Nous avons analysé la différenciation des lymphocytes T spécifiques pour ces virus, ainsi que la composition des clonotypes T (par leur récepteur T) chez les donneurs sains. Les réponses immunes peuvent être classifiées en quatre souspopulations majeures de lymphocytes T, cependant, leur proportion varie entre les réponses spécifiques contre EBV ou CMV. Ces analyses soutiennent le modèle linéaire de différenciation, à partir de la population non différenciée (EM/CD28pos) vers la population plus différenciée (ENIIZA/CD28neg). De plus, nos données sur la composition clonale de ces cellules T spécifiques ont révélé des répertoires TCR restreints, pour la réponse anti-CMV, et relativement diversifiés contre EBV. Tous les clonotypes spécifiques de ces virus identifiés dans la sous-population différenciée EMRA/CD28neg, ont également été retrouvés dans la population de cellules "mémoires". Toutefois, de fortes différences ont été observées dans les schémas de domination de ces sous-populations, en effet, certains clonotypes étaient sélectionnés avec la différenciation, alors que d'autres ne l'étaient pas. Nous avons également démontré que ces clonotypes différenciés et spécifiques pour le CMV sont caractérisés par des TCRs à faible dépendance en regard de la coopération du corécepteur CD8. Néanmoins, tous les clonotypes affichent une avidité fonctionnelle similaire, suggérant un rôle compensatoire du CD8, dans le cas des clonotypes avec une faible avidité du TCR En définitive, la composition et la sélection des clonotypes spécifiques pour chaque virus et pour chaque sous-population suit un schéma de différenciation hautement conservé au cours du temps, avec la présence de ces mêmes clonotypes au même stade de différenciation sur une période de quatre ans. Ce travail a été étendu à l'étude des réponses T CD8+ spécifiques pour le virus EBV chez les patients atteints de mélanome et recevant dans le cadre du traitement de leurs tumeurs une lymphodéplétion transitoire, suivie d'un transfert adoptif de cellules et d'une reconstitution immunitaire. Au cours de cette thérapie, nous avons en premier lieu observé pour 3 des 5 patients une augmentation de la proportion de cellules T spécifiques pour le virus, accompagné d'un phénotype plus différencié (EMRA/CD28neg), et ceci comparativement à des cellules spécifiques d'individus sains. Pourtant, comme nous l'avons observé chez les donneurs sains, la sélection et la composition des clonotypes T spécifiques varient tout au long de la différenciation cellulaire, avec certains clonotypes sélectionnés et d'autres qui ne le sont pas. Étonnamment, aucun nouveau clonotype n'a émergé après l'immuno-suppression transitoire et la prolifération homéostatique. Cette observation trouve son explication par une absence de réactivation du virus EBV chez ces patients, et ce malgré leur traitement. De plus, la distribution de chaque clonotype parmi ces sous-populations non-différenciées et différenciées reste stable au cours du traitement. Ainsi, les mêmes clonotypes initialement identifiés avant le début du traitement sont présents aux mêmes stades de différenciation après la lymphodéplétion et la prolifération homéostatique. Ces résultats ont permis d'identifier de nouveaux mécanismes impliqués dans la régulation hautement «sophistiquée » des réponses immunitaires T contre les virus persistants EBV et CMV chez les donneurs sains. En particulier, ils révèlent la grande stabilité de ces réponses en termes de sélection et de composition des clonotypes avec la différenciation cellulaire, et ce dans les situations chroniques, ainsi que dans les situations dans lesquelles le système immunitaire a été profondément perturbé.

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Theory predicts that if most mutations are deleterious to both overall fitness and condition-dependent traits affecting mating success, sexual selection will purge mutation load and increase nonsexual fitness. We explored this possibility with populations of mutagenized Drosophila melanogaster exhibiting elevated levels of deleterious variation and evolving in the presence or absence of male-male competition and female choice. After 60 generations of experimental evolution, monogamous populations exhibited higher total reproductive output than polygamous populations. Parental environment also affected fitness measures - flies that evolved in the presence of sexual conflict showed reduced nonsexual fitness when their parents experienced a polygamous environment, indicating trans-generational effects of male harassment and highlighting the importance of a common garden design. This cost of parental promiscuity was nearly absent in monogamous lines, providing evidence for the evolution of reduced sexual antagonism. There was no overall difference in egg-to-adult viability between selection regimes. If mutation load was reduced by the action of sexual selection in this experiment, the resultant gain in fitness was not sufficient to overcome the costs of sexual antagonism.

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Background: The ratio of the rates of non-synonymous and synonymous substitution (d(N)/d(S)) is commonly used to estimate selection in coding sequences. It is often suggested that, all else being equal, d(N)/d(S) should be lower in populations with large effective size (Ne) due to increased efficacy of purifying selection. As N-e is difficult to measure directly, life history traits such as body mass, which is typically negatively associated with population size, have commonly been used as proxies in empirical tests of this hypothesis. However, evidence of whether the expected positive correlation between body mass and d(N)/d(S) is consistently observed is conflicting. Results: Employing whole genome sequence data from 48 avian species, we assess the relationship between rates of molecular evolution and life history in birds. We find a negative correlation between dN/dS and body mass, contrary to nearly neutral expectation. This raises the question whether the correlation might be a method artefact. We therefore in turn consider non-stationary base composition, divergence time and saturation as possible explanations, but find no clear patterns. However, in striking contrast to d(N)/d(S), the ratio of radical to conservative amino acid substitutions (K-r/K-c) correlates positively with body mass. Conclusions: Our results in principle accord with the notion that non-synonymous substitutions causing radical amino acid changes are more efficiently removed by selection in large populations, consistent with nearly neutral theory. These findings have implications for the use of d(N)/d(S) and suggest that caution is warranted when drawing conclusions about lineage-specific modes of protein evolution using this metric.

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The objective of this work was to validate microsatellite markers associated with resistance to soybean cyst nematode (Heterodera glycines Ichinohe) races 3 and 14, in soybean (Glycine max L.) genotypes, for use in marker-assisted selection (MAS) programs. Microsatellites of soybean linkage groups A2, D2 and G were tested in two populations, and their selection efficiencies were determined. The populations were 65 F2:3 families from Msoy8001 (resistant) x Conquista (susceptible) cross, and 66 F2:3 families of S5995 (resistant) x Renascença (susceptible) cross, evaluated for resistance to races 3 and 14, respectively. Families with female index up to 30% were considered moderately resistant. Markers of A2 and G linkage groups were associated with resistance to race 3. Markers Satt309 and GMENOD2B explained the greatest proportion of phenotypic variance in the different groups. The combinations Satt309+GMENOD2B and Satt309+Satt187 presented 100% selection efficiency. Resistance to race 14 was associated with markers of G linkage group, and selection efficiency in the Satt309+Satt356 combination was 100%. The selection differential obtained by phenotypic and marker assisted selection showed that both can result in similar gains.

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Modeling the mechanisms that determine how humans and other agents choose among different behavioral and cognitive processes-be they strategies, routines, actions, or operators-represents a paramount theoretical stumbling block across disciplines, ranging from the cognitive and decision sciences to economics, biology, and machine learning. By using the cognitive and decision sciences as a case study, we provide an introduction to what is also known as the strategy selection problem. First, we explain why many researchers assume humans and other animals to come equipped with a repertoire of behavioral and cognitive processes. Second, we expose three descriptive, predictive, and prescriptive challenges that are common to all disciplines which aim to model the choice among these processes. Third, we give an overview of different approaches to strategy selection. These include cost‐benefit, ecological, learning, memory, unified, connectionist, sequential sampling, and maximization approaches. We conclude by pointing to opportunities for future research and by stressing that the selection problem is far from being resolved.

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The objectives of this work were to analyze theoretical genetic gains of maize due to recurrent selection among full-sib and half-sib families, obtained by Design I, Full-Sib Design and Half-Sib Design, and genotypic variability and gene loss with long term selection. The designs were evaluated by simulation, based on average estimated gains after ten selection cycles. The simulation process was based on seven gene systems with ten genes (with distinct degrees of dominance), three population classes (with different gene frequencies), under three environmental conditions (heritability values), and four selection strategies. Each combination was repeated ten times, amounting to 25, 200 simulations. Full-sib selection is generally more efficient than half-sib selection, mainly with favorable dominant genes. The use of full-sib families derived by Design I is generally more efficient than using progenies obtained by Full-Sib Design. Using Design I with 50 males and 200 females (effective size of 160) did not result in improved populations with minimum genotypic variability. In the populations with lower effective size (160 and 400) the loss of favorable genes was restricted to recessive genes with reduced frequencies.

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The objective of this work was to determine soybean resistance inheritance to Heterodera glycines Ichinohe (soybean cyst nematode - SCN) races 3 and 9, as well as to evaluate the efficiency of direct and indirect selection in a soybean population of 112 recombinant inbred lines (RIL) derived from the resistant cultivar Hartwig. The experiment was conducted in a completely randomized design, in Londrina, PR, Brazil. The estimated narrow-sense heritabilities for resistance to races 3 and 9 were 80.67 and 77.97%. The genetic correlation coefficient (r g = 0.17; p<0.01) shows that some genetic components of resistance to these two races are inherited together. The greatest genetic gain by indirect selection was obtained to race 9, selecting to race 3 due to simpler inheritance of resistance to race 9 and not because these two races share common resistance genes. The resistance of cultivar Hartwig to races 3 and 9 is determined by 4 and 2 genes, respectively. One of these genes confers resistance to both races, explaining a fraction of the significant genetic correlation found between resistance to these SCN races. The inheritance pattern described indicates that selection for resistance to SCN must be performed for each race individually.

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Context: Ovarian tumors (OT) typing is a competency expected from pathologists, with significant clinical implications. OT however come in numerous different types, some rather rare, with the consequence of few opportunities for practice in some departments. Aim: Our aim was to design a tool for pathologists to train in less common OT typing. Method and Results: Representative slides of 20 less common OT were scanned (Nano Zoomer Digital Hamamatsu®) and the diagnostic algorithm proposed by Young and Scully applied to each case (Young RH and Scully RE, Seminars in Diagnostic Pathology 2001, 18: 161-235) to include: recognition of morphological pattern(s); shortlisting of differential diagnosis; proposition of relevant immunohistochemical markers. The next steps of this project will be: evaluation of the tool in several post-graduate training centers in Europe and Québec; improvement of its design based on evaluation results; diffusion to a larger public. Discussion: In clinical medicine, solving many cases is recognized as of utmost importance for a novice to become an expert. This project relies on the virtual slides technology to provide pathologists with a learning tool aimed at increasing their skills in OT typing. After due evaluation, this model might be extended to other uncommon tumors.

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The objective of this work was to evaluate the potential of allohexaploid pearl millet x elephantgrass (HGL) population for a recurrent selection program through open-pollinated progenies. Seventy-eight progenies, one representative sample of the population, and two commercial cultivars, Pioneiro and Paraíso, were evaluated in a 9x9 triple lattice design, in two sites. Plant height and dry matter yield were evaluated in three and four cuts, respectively. For plant height, the 17 best progenies were similar to both commercial controls, while for dry matter yield they were higher than 'Paraíso' and lower than 'Pioneiro'. The correlation between progenies and cuts indicated that the fourth cut represents the mean of all cuts, and the possibility of using early selection. Heritability estimates considering cuts and sites were 56.9% for plant height and 58.8% for dry matter yield, and the expected response to selection was 23.4% for dry matter yield and 18.1% for plant height. These results demonstrate the promising HGL population potential for a recurrent selection program.

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In contrast with the low frequency of most single epitope reactive T cells in the preimmune repertoire, up to 1 of 1,000 naive CD8(+) T cells from A2(+) individuals specifically bind fluorescent A2/peptide multimers incorporating the A27L analogue of the immunodominant 26-35 peptide from the melanocyte differentiation and melanoma associated antigen Melan-A. This represents the only naive antigen-specific T cell repertoire accessible to direct analysis in humans up to date. To get insight into the molecular basis for the selection and maintenance of such an abundant repertoire, we analyzed the functional diversity of T cells composing this repertoire ex vivo at the clonal level. Surprisingly, we found a significant proportion of multimer(+) clonotypes that failed to recognize both Melan-A analogue and parental peptides in a functional assay but efficiently recognized peptides from proteins of self- or pathogen origin selected for their potential functional cross-reactivity with Melan-A. Consistent with these data, multimers incorporating some of the most frequently recognized peptides specifically stained a proportion of naive CD8(+) T cells similar to that observed with Melan-A multimers. Altogether these results indicate that the high frequency of Melan-A multimer(+) T cells can be explained by the existence of largely cross-reactive subsets of naive CD8(+) T cells displaying multiple specificities.

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Positive selection is widely estimated from protein coding sequence alignments by the nonsynonymous-to-synonymous ratio omega. Increasingly elaborate codon models are used in a likelihood framework for this estimation. Although there is widespread concern about the robustness of the estimation of the omega ratio, more efforts are needed to estimate this robustness, especially in the context of complex models. Here, we focused on the branch-site codon model. We investigated its robustness on a large set of simulated data. First, we investigated the impact of sequence divergence. We found evidence of underestimation of the synonymous substitution rate for values as small as 0.5, with a slight increase in false positives for the branch-site test. When dS increases further, underestimation of dS is worse, but false positives decrease. Interestingly, the detection of true positives follows a similar distribution, with a maximum for intermediary values of dS. Thus, high dS is more of a concern for a loss of power (false negatives) than for false positives of the test. Second, we investigated the impact of GC content. We showed that there is no significant difference of false positives between high GC (up to similar to 80%) and low GC (similar to 30%) genes. Moreover, neither shifts of GC content on a specific branch nor major shifts in GC along the gene sequence generate many false positives. Our results confirm that the branch-site is a very conservative test.

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Most local agencies in Iowa currently make their pavement treatment decisions based on their limited experience due primarily to lack of a systematic decision-making framework and a decision-aid tool. The lack of objective condition assessment data of agency pavements also contributes to this problem. This study developed a systematic pavement treatment selection framework for local agencies to assist them in selecting the most appropriate treatment and to help justify their maintenance and rehabilitation decisions. The framework is based on an extensive literature review of the various pavement treatment techniques in terms of their technical applicability and limitations, meaningful practices of neighboring states, and the results of a survey of local agencies. The treatment selection framework involves three different steps: pavement condition assessment, selection of technically feasible treatments using decision trees, and selection of the most appropriate treatment considering the return-on-investment (ROI) and other non-economic factors. An Excel-based spreadsheet tool that automates the treatment selection framework was also developed, along with a standalone user guide for the tool. The Pavement Treatment Selection Tool (PTST) for Local Agencies allows users to enter the severity and extent levels of existing distresses and then, recommends a set of technically feasible treatments. The tool also evaluates the ROI of each feasible treatment and, if necessary, it can also evaluate the non-economic value of each treatment option to help determine the most appropriate treatment for the pavement. It is expected that the framework and tool will help local agencies improve their pavement asset management practices significantly and make better economic and defensible decisions on pavement treatment selection.

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In this paper, a hybrid simulation-based algorithm is proposed for the StochasticFlow Shop Problem. The main idea of the methodology is to transform the stochastic problem into a deterministic problem and then apply simulation to the latter. In order to achieve this goal, we rely on Monte Carlo Simulation and an adapted version of a deterministic heuristic. This approach aims to provide flexibility and simplicity due to the fact that it is not constrained by any previous assumption and relies in well-tested heuristics.