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Biology subjects

dos Santos, J. P. R.

Publications and source records attributed to dos Santos, J. P. R..

4 recordsLinked to original sources

SUSTAINED SYSTEMIC AND NEUROINFLAMMATION IN COGNITIVE DYSFUNCTIONAL FEMALE MICE AFTER NON-SEVERE EXPERIMENTAL MALARIA

Plasmodial infection induces systemic inflammation with great potential to contribute to the development of severe illness and lethality. It is known that the hippocampus and cortex both play a pivotal role in memory processes and are affected by the neuroinflammation associated with cerebral malaria that causes long-lasting cognitive and behavioral sequelae. Since these sequelae are also associated with the non-severe form of malaria, it is important to correlate brain morphology, particularly glial cell involvement, and neuroimmune and neuroinflammatory features with memory acquisition and consolidation processes, in this clinical presentation of malaria, the most frequent worldwide. Here, we aimed to investigate cellular and molecular neuroimmune aspects of non-severe experimental malaria-associated cognitive dysfunction. Female C57BL/6 mice were infected with Plasmodium berghei ANKA and treated with chloroquine before any clinical signs of cerebral malaria emerged. No histopathological alteration, in hematoxylin-eosin staining, or axonal damage, in Bielschowskys silver-impregnated brain sections, was observed. However, morphological alterations in GFAP+ and Iba-1+ cells suggest that: i) astrocytes in the hippocampal dentate gyrus and the cornu Ammonis 1 regions and ii) microglia in the cornu Ammonis 1 region are responding to infection. Curiously, the effect persisted only in Iba-1+ cells up to 22 days post-infection. An increase in pro-inflammatory cytokines levels and expression was observed, in both the prefrontal cortex and the hippocampus. Also, serum and spleen cytokine levels were increased at 4 days post-infection. At 22 days post-infection, infected and treated mice showed an increase in serum cytokine levels that had homeostatic levels at 155 days post-infection. This dynamic points to both an immune stimulus persistence and a cytokine autoregulation post-infection. Infected mice exhibited acquisition and consolidation memory deficits in behavioral tests early after treatment (22 days post-infection). In conclusion, in a context of sustained systemic inflammation, mild neuroinflammatory alterations of glial cells may be involved in cognitive sequelae following a single episode of non-severe experimental malaria.

immunology↗

Leveraging probability concepts for genotype by environment recommendation

Statistical models that capture the phenotypic plasticity of a genotype across environments are crucial in plant breeding programs to potentially identify parents, generate offspring, and obtain highly productive genotypes for distinct environments. In this study, our aim is to leverage concepts of Bayesian models and probability methods of stability analysis to untangle genotype-by-environment interaction (GEI). The proposed method employs the posterior distribution obtained with the No-U-Turn sampler algorithm to get Monte Carlo estimates of adaptation and stability probabilities. We applied the proposed models in two empirical tropical datasets. Our findings provide a basis to enhance our ability to consider the uncertainty of cultivar recommendation for global or specific adaptation. We further demonstrate that probability methods of stability analysis in a Bayesian framework are a powerful tool for unraveling GEI given a defined intensity of selection that results in a more informed decision-making process towards cultivar recommendation in multi-environment trials.

genetics↗

Comparative evolutionary analysis and prediction of deleterious mutation patterns between sorghum and maize

Sorghum and maize share a close evolutionary history that can be explored through comparative genomics. To perform a large-scale comparison of the genomic variation between these two species, we analyzed 13 million variants identified from whole genome resequencing of 468 sorghum lines together with 25 million variants previously identified in 1,218 maize lines. Deleterious mutations in both species were prevalent in pericentromeric regions, enriched in non-syntenic genes, and present at low allele frequencies. A comparison of deleterious burden between sorghum and maize revealed that sorghum, in contrast to maize, departed from the \"domestication cost\" hypothesis that predicts a higher deleterious burden among domesticates compared to wild lines. Additionally, sorghum and maize population genetic summary statistics were used to predict a gene deleterious index with an accuracy higher than 0.5. This research represents a key step towards understanding the evolutionary dynamics of deleterious variants in sorghum and provides a comparative genomics framework to start prioritizing them for removal through genome editing and breeding.

genomics↗

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

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 5-fold cross-validation, prediction accuracies ranged from 0.48 (PBN) to 0.51 (MTr-GBLUP) for DBY and from 0.47 (DBN, DAP120) to 0.74 (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.

genetics↗