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Sotelo-Silveira, J.

Publications and source records attributed to Sotelo-Silveira, J..

11 recordsLinked to original sources

Exploring the potential role of the TETRATRICOPEPTIDE THIOREDOXIN-LIKE gene family in nitrogen-fixing and water-restricted soybean plants

The TETRATRICOPEPTIDE THIOREDOXIN-LIKE (TTL) proteins are a plant-specific family proposed to function as peripheral membrane proteins that contribute to abiotic stress tolerance in Arabidopsis, likely by maintaining cell wall integrity through brassinosteroid signaling. Previously, we identified a TTL gene that was differentially regulated at the translational level in nitrogen-fixing soybean plants under water deficit (WD) conditions. This finding prompted the characterization of the soybean TTL gene family. Using the Glycine max v4.0 proteome, we identified ten TTL homologs (GmTTL1-GmTTL10), which are unevenly distributed across five chromosomes. Phylogenetic and structural analyses grouped these genes into three clades and revealed a highly conserved exon-intron organization. Likewise, GmTTL proteins display a conserved number and arrangement of TPR and TRXL motifs. To gain insights into their potential biological functions, we integrated co-expression and differential expression analyses. This approach identified a co-expression module enriched for translationally downregulated genes related to the Gene Ontology terms "cellular anatomical entity", "membrane", "cell periphery", "cell wall modification", "nitrate assimilation", and "cell wall organization or biogenesis". Protein-protein interaction network analysis of this specific subset of genes uncovered a novel GmTTL connection with two nitrate reductase enzymes in nitrogen-fixing plants subjected to WD, potentially linking the TTL gene family to new functions or roles. This study provides a framework for future functional studies of GmTTL proteins and their contribution to abiotic stress adaptation in soybean. Key MessageThis work presents the first functional characterization of TTLs proteins in legume species and highlights key processes that may link the TTL gene family to new functions or roles.

Plant Biology↗

Links Between Gut Microbiota of Uruguayan Infants, Breast Milk Composition, and Maternal Factors During Exclusive Breastfeeding

BackgroundGiven the links between early gut microbiota, breastfeeding, and maternal physiology, we characterized the intestinal microbiota of infants during exclusive breastfeeding (mean=5.4 months), examining its associations with breastmilk composition, fecal IgA, and maternal factors in Uruguayan primiparous mothers, with vaginal (V, n=20) or cesarean-section delivery (CS, n=14). MethodsWe analyzed fecal microbiota via 16S rRNA V4 sequencing and quantified stool IgA, breastmilk components (antibodies, hormones, macronutrients) using ELISA and standard biochemical methods. ResultsPrincipal Coordinates Analysis showed separation by delivery mode (PCo1:44.6%, PCo2:14.2%). Samples of CS-group displayed lower relative abundance (RA %) of Bacteroidetes/Firmicutes ratio, higher RA of Proteobacteria (50.7%vs35.5%), and decreased Bacteroides (2.5%vs31.8%) than V-group. Biochemical parameters didnt differ between groups. In the V-group, milk and fecal IgA correlated (r=+0.47), as did Bifidobacterium RA with milk IgA (r=+0.47). Fat content was associated with different microbial taxa in both groups. Only in CS-group milk carbohydrates correlated with Bifidobacterium (r=-0.679) and maternal stress with Flavonifractor in CS-group (r=+0.461). ConclusionResults indicate delivery mode can exert persistent impact on infant gut microbiota until the introduction of complementary feeding. Differences in correlation patterns between groups suggest distinct regulatory mechanisms of microbiota, possibly linked to physiological processes that differ according to delivery mode. ImpactO_LIThis is the first study to assess the gut microbiota composition of exclusively breastfed infants born to Uruguayan mothers, in parallel with analyses of breast milk composition and maternal perceived stress C_LIO_LIThe mode of delivery was associated with differences in gut microbiota composition at a mean age of 5.4 months. C_LIO_LIDifferent associations between milk composition and maternal perceived stress with predominant microbial taxa were found according to the type of delivery. C_LIO_LIThese findings provide a basis for studies on microbiota regulatory mechanisms influenced by maternal physiology according to delivery mode C_LI

genomics↗

Conserved Axonal Transcriptome Dynamics Underlie PGE2-Induced Sensitisation and Identify Tnfrsf12a/Fn14 as a Regulator of Neuronal Excitability in DRG Neurons

Chronic pain arises when dorsal root ganglion (DRG) neurons become sensitised to noxious inputs, a process driven by inflammatory mediators such as prostaglandin E2 (PGE2). Local translation of axonal mRNAs is a key regulator of nociceptor plasticity, yet how axonal transcriptome dynamics contribute to inflammatory sensitisation remains unclear. Using compartmentalised culture systems and RNA-sequencing, we defined axonal and somatic transcriptomes in embryonic (E16.5) and adult (W8) DRG neurons and assessed their remodelling after PGE2 exposure. We identify a conserved core axonal transcriptome spanning embryonic to adult stages, prominently enriched for ribosomal and mitochondrial functions, consistent with sustained translational and metabolic demands. PGE2 elicited compartment-specific reprogramming: pathways related to sensory processing and pain were upregulated in axons but downregulated in somata. Functionally, prolonged axonal PGE2 exposure enhanced capsaicin-evoked Ca{superscript 2} responses and drove retrograde sensitisation of neuronal somata. Integrating transcriptomics with functional assays, we pinpointed Tnfrsf12a (Fn14), a cytokine receptor linked to regeneration and neuropathic pain, as a PGE2-induced axonal mRNA. Crucially, local axonal knockdown of Tnfrsf12a significantly reduced neuronal excitability, providing proof-of-concept that axonally enriched transcripts can be targeted to modulate sensitisation. These findings position conserved axonal transcriptome programmes as drivers of peripheral sensitisation and establish Tnfrsf12a as a therapeutic candidate for inflammatory pain.

neuroscience↗

Single-cell RNA-seq reveals trans-sialidase-like superfamily gene expression heterogeneity in Trypanosoma cruzi populations

Trypanosoma cruzi, the causative agent of Chagas disease, presents a major public health challenge in Central and South America, affecting approximately 8 million people and placing millions more at risk. The T. cruzi life cycle includes transitions between epimastigote, metacyclic trypomastigote, amastigote, and blood trypomastigote stages, each marked by distinct morphological and molecular adaptations to different hosts and environments. Unlike other trypanosomatids such as Trypanosoma brucei, T. cruzi does not employ a monoallelic model of antigenic variation; instead, it relies on a diverse repertoire of cell-surface associated proteins encoded by large multigene families, which are essential for infectivity and immune evasion. This study analyzes cell-specific transcriptomes using single-cell RNA sequencing of amastigote and trypomastigote cells to characterize stage-specific surface protein expression during mammalian infection. Through clustering and identification of cell-specific markers, we assigned cells to distinct parasite developmental forms. Analysis of individual cells revealed that surface protein-coding genes, especially members of the trans-sialidase like superfamily (TcS), are expressed with greater heterogeneity than single-copy genes. Moreover, no recurrent combinations of TcS genes were observed between individual cells in the population. Remarkably, a small subset of TcS mRNAs, encoded by genes preferentially located in the core genomic compartment, are frequently detected across the cell population, whereas the vast majority of TcS mRNAs show low detection frequencies and are mainly encoded in the disruptive compartment. Our findings thus reveal transcriptomic heterogeneity within trypomastigote populations where each cell displays unique TcS expression profiles. Focusing on the diversity of surface protein expression, this research aims to deepen our understanding of T. cruzi cellular biology and infection strategies.

genomics↗

Adipocyte-specific deletion of Dbc1 does not recapitulate healthy obesity phenotype but suggests regulation of inflammation signaling

The protein Deleted in Breast Cancer 1 (DBC1), a regulator of several transcription factors and epigenetic modulators, plays determinant roles in metabolism regulation, obesity and aging-related processes. Knockout mice for Dbc1, develop morbid obesity but are protected against liver steatosis, insulin resistance and atherosclerosis. We have proposed that this healthy obesity phenotype was mainly due to the expansion of adipose tissue, avoiding free-fatty acid spillover and metabolic damage in peripheral tissues. To gain more insight about the role of Dbc1 in adipose cells during obesity and its impact on metabolic dysregulation, we generated a conditional Dbc1 KO mouse and backcrossed it with CRE-AdipoQ transgenic mice, aiming to abrogate Dbc1 expression in all mature adipocytes (cAT-Dbc1). cAT-Dbc1 mice showed deletion of Dbc1 specifically in mature adipocytes in different fat depots. We tested the effect of Dbc1 deletion in adipocytes on different aspects of metabolic regulation in male and female mice fed in normal chow and high-fat diets. We found that deletion of Dbc1 in mature adipocytes had no effect on weight gain, glucose tolerance and other markers of metabolic dysregulation, regardless sex. However, Dbc1 KO adipocytes displayed an mRNA expression profile consistent with increased inflammation during obesity. Our results suggest that the healthy phenotype displayed in the whole body Dbc1 KO obese mice is not due to the protein function in mature adipocytes and might involve other cell types present in adipose tissue. Instead, the specific deletion of Dbc1 in mature adipocytes highlights a novel role of Dbc1 in inflammation signaling during obesity.

physiology↗

Expanding kinetoplastid genome annotation through protein structure comparison

Kinetoplastids belong to the supergroup Discobids, an early divergent eukaryotic clade. Although the amount of genomic information on these parasites has grown substantially, assigning gene functions through traditional sequence-based homology methods remains challenging. Recently, significant advancements have been made in in silico protein structure prediction and algorithms for rapid and precise large-scale protein structure comparisons. In this work, we developed a protein structure-based homology search pipeline (ASC, Annotation by Structural Comparisons) and applied it to annotate all kinetoplastid proteins available in TriTrypDB. Our pipeline assigned functional annotation to 23,000 hypothetical proteins across all 35 kinetoplastid species in the database. Among these, we identified ubiquitous eukaryotic proteins that had not been previously detected in kinetoplastid genomes. The resulting annotations (KASC, Kinetoplastid Annotation by Structural Comparison) are openly available to the community (kasc.fcien.edu.uy). Author SummaryKinetoplastids are a group of parasites that cause severe diseases in the poorest regions of the world. Despite the increasing amount of genomic information available on these parasites, predicting the function of many of their genes using traditional methods has been difficult. Recently, there have been significant advancements in predicting protein structures and comparing them on a large scale. In this study, we created a new method called ASC (Annotation by Structural Comparisons) to find functions for all the kinetoplastid genes listed in the TriTrypDB database. Our strategy successfully assigned functions to 23,000 proteins in kinetoplastids. Among these, we discovered important proteins found in all eukaryotes that had not been previously identified in kinetoplastids. This information (KASC, Kinetoplastid Annotation by Structural Comparison) is freely available at kasc.fcien.edu.uy.

genomics↗

Water deficit response in nodulated soybean roots: a comprehensive transcriptome and translatome network analysis

Soybean establishes a mutualistic interaction with nitrogen-fixing rhizobacteria, acquiring most of its nitrogen requirements through symbiotic nitrogen fixation. This crop is susceptible to water deficit; evidence suggests that its nodulation status--whether it is nodulated or not-- can influence how it responds to water deficit. The translational control step of gene expression has proven relevant in plants subjected to water deficit. Here, we analyzed soybean roots differential responses to water deficit at transcriptional, translational, and mixed (transcriptional + translational) levels. Thus, the transcriptome and translatome of four combined-treated soybean roots were analyzed. We found hormone metabolism-related genes among the differentially expressed genes (DEGs) at the translatome level in nodulated and water-restricted plants. Also, weighted gene co-expression network analysis followed by differential expression analysis identified gene modules associated with nodulation and water deficit conditions. Protein-protein interaction network analysis was performed for subsets of mixed DEGs of the modules associated with the plant responses to nodulation, water deficit, or their combination. Our research reveals that the stand-out processes and pathways in the before-mentioned plant responses partially differ; terms related to glutathione metabolism and hormone signal transduction (2C protein phosphatases) were associated with the response to water deficit, terms related to transmembrane transport, response to abscisic acid, pigment metabolic process were associated with the response to nodulation plus water deficit. Still, two processes were common: galactose metabolism and branched-chain amino acid catabolism. A comprehensive analysis of these processes could lead to identifying new sources of tolerance to drought in soybean.

plant biology↗

Cannabidiol prevents the locomotor sensitization induced by cocaine and caffeine and upregulates genes of extracellular matrix and anti-inflammatory pathways in the nucleus accumbens: a transcriptome-wide analysis

Cannabidiol (CBD), a non-psychotomimetic phytocannabinoid found in the Cannabis plant, has emerged as a potential therapeutic agent for psychostimulant use disorders. In recent work, we demonstrated that CBD is able to attenuate the expression of locomotor sensitization and the enhanced metabolic activity in the nucleus accumbens (NAc) generated by the combination of cocaine and caffeine. CDB interacts directly or indirectly with several molecular targets, so the underlying mechanisms of its beneficial effects are hard to determine. Here we used high-throughput RNA-sequencing in mices NAc after a sensitization protocol with combined cocaine plus caffeine and a CBD pre-treatment, to identify the major pathways and genes involved in CBD attenuating behavioral effects. Results indicated that CBD pretreatment consistently reduced both the acquisition and expression of cocaine and caffeine locomotor sensitization. The transcriptome analysis revealed that CBD pre-treatment enriched genes and functional association between proteins mainly related to extracellular matrix (ECM) organization and cell interactions in the NAc. Moreover, the neuroinflammation and BDNF signaling pathways were also influenced by CBD. Some specially enriched genes such as Tnc were identified as interesting specific candidates for follow-up studies. These findings provide valuable and novel insights into molecular mechanisms of CBD putatively associated with a protective effect on psychostimulant actions. A better understanding of the therapeutic targets of CBD can open new avenues for psychostimulant use disorder treatment strategies.

neuroscience↗

Translational control by Trypanosoma brucei DRBD18 contributes to the maintenance of the procyclic state

Trypanosoma brucei occupies distinct niches throughout its life cycle, within both the mammalian and tsetse fly hosts. The immunological and biochemical complexity and variability of each of these environments require a reshaping of the protein landscape of the parasite both to evade surveillance and face changing metabolic demands. Whereas most well-studied organisms rely on transcriptional control as the main regulator of gene expression, post-transcriptional control mechanisms are particularly important in T. brucei, and these are often mediated by RNA-binding proteins. DRBD18 is a T. brucei RNA-binding protein that interacts with ribosomal proteins and translation factors. Here, we tested a role for DRBD18 in translational control. We show that DRBD18 depletion by RNA interference leads to altered polysomal profiles with a specific depletion of heavy polysomes. Ribosome profiling analysis reveals that 101 transcripts change in translational efficiency (TE) upon DRBD18 depletion: 41 exhibit decreased TE and 60 exhibit increased TE. A further 66 transcripts are buffered, i.e. changes in transcript abundance are compensated by changes in TE such that the total translational output is expected not to change. Proteomic analysis validates these data. In DRBD18-depleted cells, a cohort of transcripts that codes for procyclic form-specific proteins is translationally repressed while, conversely, transcripts that code for bloodstream form- and metacyclic form-specific proteins are translationally enhanced. These data suggest that DRBD18 contributes to the maintenance of the procyclic state through both positive and negative translational control of specific mRNAs.

microbiology↗

Nanopore quality score resolution can be reduced with little effect on downstream analysis

We investigate the effect of quality score information loss on downstream analysis from nanopore sequencing FASTQ files. We polished denovo assemblies for a mock microbial community and a human genome, and we called variants on a human genome. We repeated these experiments using various pipelines, under various coverage level scenarios, and various quality score quantizers. In all cases we found that the quantization of quality scores cause little difference on (or even improves) the results obtained with the original (non-quantized) data. This suggests that the precision that is currently used for nanopore quality scores is unnecessarily high, and motivates the use of lossy compression algorithms for this kind of data. Moreover, we show that even a non-specialized compressor, like gzip, yields large storage space savings after quantization of quality scores.

bioinformatics↗

Transcriptional and translational regulation of pathogenesis in Alzheimer's disease model mice

BackgroundDefining the cellular mechanisms that drive Alzheimers disease (AD) pathogenesis and progression will be aided by studies defining how gene expression patterns change during pre-symptomatic AD and the ensuing periods of steadily declining cognition. Previous studies have emphasized changes in transcriptional regulation, but not translational regulation, leaving the ultimate results of gene expression alterations relatively unexplored in the context of AD. ObjectiveTo identify genes whose expression might be regulated at the transcriptional, and especially at the translational levels in AD, we analyzed gene expression in cerebral cortex of two AD model mouse strains, CVN (APPSwDI;NOS2-/-) and Tg2576 (APPSw), and their companion wild type (WT) strains at 6 months of age by tandem RNA-Seq and Ribo-Seq (ribosome profiling). MethodsIdentical starting pools of bulk RNA were used for RNA-Seq and Ribo-Seq. Differential gene expression analysis was performed at the transcriptional and translational levels separately, and also at the translational efficiency level. Regulated genes were functionally evaluated by gene ontology tools. ResultsCompared to WT mice, AD model mice had similar levels of transcriptional regulation, but displayed differences in translational regulation. A specific microglial signature associated with early stages of A{beta} accumulation was up-regulated at both transcriptome and translatome levels in CVN mice. Although the two mice strains did not share many regulated genes, they showed common regulated pathways related to APP metabolism associated with neurotoxicity and neuroprotection. ConclusionThis work represents the first genome-wide study of brain translational regulation in animal models of AD, and provides evidence of a tight and early translational regulation of gene expression controlling the balance between neuroprotective and neurodegenerative processes in brain.

neuroscience↗