Biology subjects

Rodriguez, G.

Publications and source records attributed to Rodriguez, G..

12 recordsLinked to original sources

bioRxiv2026

Streptomyces sp. N2A promotes tomato (Solanum lycopersicum L.) vegetative growth and yield by modifying fruit morphology

Tomato production, yield and fruit quality face major challenges due to several factors, including the complex polygenic inheritance of agronomically relevant traits, biotic and abiotic stresses, and increasingly stringent regulations limiting the use of phytosanitary products. In this context, bioinoculants have emerged as a sustainable strategy capable of enhancing yield without compromising fruit quality, conferring protection against different stresses and exerting a minimal or no impact on environment and human health. In this study, we evaluated the effects and the underlying mechanisms by which Streptomyces sp. N2A, an actinobacteria isolated from soybean rhizosphere, promotes seed germination, vegetative growth and yield in tomato, without modifying fruit quality. The obtained results demonstrated that the bacterial treatment significantly improved seedlin[g]s emergence and growth and development in vegetative stage. At harvest, yield was also significantly enhanced, mainly driven by increased individual fruit weight, which was positively correlated with a thicker pericarp in fruits from N2A-treated plants. Transcriptional analysis during fruit development revealed a coordinated induction of auxin and cytokinin signaling pathways before and after anthesis, providing a hormonal framework that underlies the promotion of pericarp growth. This study provides evidence of the beneficial effect of inoculation with Streptomyces sp. N2A on tomato yield and constitutes the first report describing the modification of fruit morphology and expression of genes involved in phytohormonal modulation during early growth and development, induced by a plant growth-promoting Streptomyces.

plant biology↗

bioRxiv2026

Otenabant is a Selective Antagonist of Human PIEZO1

Background and purposePIEZO1 mechanosensitive cation channels translate mechanical cues into intracellular Ca2+ and Na+ elevations, enabling cells to respond to physical alterations in their environment. PIEZO1 contributes to red blood cells (RBC) volume homeostasis and gain-of-function PIEZO1 mutations cause hereditary xerocytosis (HX), a rare mostly compensated hemolytic anemia, and aberrant channel activation exacerbates sickling and vascular dysfunction in sickle cell disease. Despite strong genetic and physiological evidence supporting PIEZO1 as a therapeutic target, potent and selective inhibitors are limited, and existing compounds show modest specificity or poorly explored mechanisms. Improved pharmacological tools are needed. Experimental approachWe conducted a high-throughput screen of FDA-approved drugs to identify PIEZO1 inhibitors. Compounds were tested at concentrations of 10 {micro}M in a monocytic cell line, using intracellular Ca2+ elevations evoked by the PIEZO1 agonist Yoda1 as read-out. The inhibitory activity of the best hit was validated and compared to existing PIEZO1 inhibitors using electrophysiological analysis, orthogonal PIEZO1-dependent assays across cell lines and human RBCs. As functional proof, we investigated the impact of three PIEZO1 inhibitors on RBC deformability by ektacytometry, after Yoda1 pre-stimulation. Key resultsThis screen identified Otenabant, a selective Cannabinoid Receptor Type 1 (CB1) antagonist, as a potent PIEZO1 inhibitor. Otenabant dose-dependently inhibited Ca2+ elevations mediated by endogenous or exogenously expressed human PIEZO1, but was ineffective against mouse Piezo1, revealing species-specific channel differences. Otenabant inhibited mechanosensitive currents elicited by shear stress in fibroblasts and by repeated poking in PIEZO1-expressing HEK-293 cells, altering the currents activation and inactivation kinetics, and prevented Yoda1-induced hyperpolarization in RBCs. Otenabant was able to reverse the negative impact of Yoda1 on RBC deformability. Conclusions and implicationsThese findings demonstrate the utility of Yoda-based screening for discovering PIEZO1 antagonists and identify Otenabant as a promising chemical scaffold for developing selective PIEZO1 inhibitors with therapeutic potential.

pharmacology and toxicology↗

bioRxiv2026

Bacterial wilt resistance is correlated with rhizosphere bacterial communities in wild potato Solanum malmeanum

Wild potatoes are long-evolving relatives of the cultivated potatoes we have today. These wild Solanum species harbor traits that can be exploited to develop more nutritive and resilient potato varieties, providing the genetic basis for resistance to abiotic and biotic stresses such as drought, low temperatures, diseases and pests. Wild potato species are widely used as valuable genetic resources in breeding programs, including efforts aimed at improving resistance to bacterial wilt caused by Ralstonia solanacearum. Among the wild species native to Uruguay, Solanum malmeanum has emerged as a particularly valuable source of resistance. The aim of this work was to investigate weather differences in bacterial wilt resistance among S. malmeanum accessions are associated with structural and compositional changes of rhizosphere bacterial communities. Two S. malmeanum accessions were compared, one susceptible (RN9P2) and the other resistant (A11P1) to bacterial wilt. The impact of plant resistance and pathogen colonization on the structure of rhizosphere bacterial communities were evaluated using high throughput 16S rRNA gene amplicon-sequencing. Significant differences were observed between accessions and pronounced shifts in rhizosphere bacterial communities were detected in response to pathogen inoculation. Cryseobacterium, Sphingobacterium, Komagataeibacter, Gluconobacter, Lactobacillus and Dyella were differential genera and enriched in the rhizosphere of the resistant accession. Several of these genera have been previously associated with disease suppression. Overall, these results suggest that the rhizosphere bacterial community associated with resistant S. malmeanum accessions may contribute to protection against R. solanacearum infection.

microbiology↗

bioRxiv2025

Analyzing the role of a dual-function diguanylate cyclase/phosphodiesterase for attachment and motility in Agrobacterium tumefaciens

Cyclic diguanylate monophosphate (c-di-GMP) is a second messenger that controls the signaling pathway for the motile to sessile transition in many bacteria. Diguanylate cyclases (DGCs), characterized by a GGDEF domain, are responsible for the synthesis of c-di-GMP. c-di-GMP is degraded by EAL and HD-GYP domains that exhibit phosphodiesterase activity (PDE). In Agrobacterium tumefaciens, out of 31 predicted proteins regulating the c-di-GMP levels, this work focuses on the predicted dual-function DGC/PDE, DcpB. We show that DcpB is a cycle-dependent PDE under our experimental conditions, resulting in cell cycle-dependent control of motility and biofilm formation in A. tumefaciens. DcpB also exhibits polar and mid-cell localization. Finally, we identify genetic interactions between dcpB and a LacI-family transcriptional regulators, thuR, suggesting additional regulatory inputs for DcpB-dependent phenotypes. Importancec-di-GMP is a universal secondary messenger known to control various biological processes in bacteria including attachment, motility, virulence, and cell cycle progression. In A. tumefaciens, there are 31 predicted c-di-GMP-metabolizing proteins predicted to affect the c-di-GMP pool, raising the question of why so many proteins are involved and how the activities of these proteins are coordinated. This work describes a cell cycle-dependent PDE activity that helps coordinate cell cycle progression and developmental phenotypes including biofilm formation and motility.

microbiology↗

bioRxiv2024

The Relationship between Latent Inhibition, Divergent Thinking, and Eyewitness Memory: A Study on Attention to Irrelevant Stimuli

Latent inhibition is a retardation in learning about a stimulus due to its prior exposure without explicit consequences. It has been suggested that individuals who tend to show less latent inhibition possess a "leaky" attentional style, finding it difficult to inhibit the processing of irrelevant information, which would manifest as an ability to generate uncommon and creative ideas. In the present study, we tested this hypothesis within a new framework--the field of eyewitness memory--by investigating whether the degree of attenuated latent inhibition is associated with the inclusion of more peripheral (seemingly irrelevant) information in testimonies about a witnessed event. In an experiment involving 116 university students, the LI Group was pre-exposed without masking to a target auditory stimulus without consequences, while the CTRL Group did not receive this pre-exposure. Subsequently, both groups engaged in a learning phase where they had to learn the association between the target stimulus and a novel outcome. A latent inhibition effect was observed, with participants in the LI Group showing retardation in learning this association compared to the CTRL Group. Additionally, all participants completed the Alternative Uses Task to assess divergent thinking and provided eyewitness testimonies based on the viewing of a video of a criminal event. We confirmed the known relationship between attenuated latent inhibition and creativity, finding that the lesser the latent inhibition exhibited, the higher the performance on the Alternative Uses Task. Moreover, we found that a lower degree of latent inhibition was associated with a higher number of peripheral details included in the testimonies. These results are discussed in terms of the leaky attention hypothesis, and an alternative explanation based on cognitive flexibility. According to this, individuals exhibiting attenuated latent inhibition may have an intact capacity to ignore irrelevant stimuli but would be highly efficient at rapidly redirecting their attention when changes occur.

animal behavior and cognition↗

bioRxiv2024

Enzyme family-centred approach identifies helicases as recurrent hemizygous tumour suppressor genes

An important goal in cancer research is to identify driver genes and mutations. Reasoning that such mutations often alter enzymatic functions, we investigated the cancer driver role of enzyme families. Using pan-cancer genomic data and established driver mutation catalogues, we found an unexpectedly high rate of mutations in helicases, making helicases the most frequently mutated enzyme family in cancer. Based on both functional perturbation screens and cancer genomic analyses, we provide evidence that cancers with mutated helicases converge on increased genomic instability and faulty DNA repair. We identify a striking phenotype in cells with loss of the helicase Aquarius (AQR). AQR was exclusively hemizygous lost in cancer genomes, which was associated with elevated levels of structural variants and point mutation signatures indicative of homologous recombination deficiency. Finally, we leverage large dependency maps to show that hemizygous loss is a common tumour suppression mechanism among helicases. In summary, we uncover a striking frequency of mutated helicases with key roles in genomic maintenance, and we nominate novel hemizygous cancer driver genes including AQR.

cancer biology↗

bioRxiv2023

SCD inhibition eradicates AML displaying high de novo fatty acid desaturation and synergizes with chemotherapy

Identification of specific and therapeutically actionable vulnerabilities in acute myeloid leukaemia (AML) is needed to improve patients outcome. These features should be ideally present in many patients independently of mutational background. Here we identify de novo fatty acid (FA) desaturation, specifically stearoyl-CoA desaturase (SCD) inhibition, as a therapeutic vulnerability across multiple AML models in vitro and in vivo. We use the novel clinical grade SCD inhibitor SSI-4 to show that SCD inhibition induces AML cell death via pleiotropic effects, and sensitivity is based on their dependency on FA desaturation regardless of mutational profile. SSI-4 efficacy is enhanced by driving FA biosynthesis in vitro while stroma confers protective effects that extend to in vivo models. SCD inhibition increases DNA damage and its combination with standard DNA damage-inducing chemotherapy prolongs survival in aggressive murine AML models. Our work supports developing FA desaturase inhibitors in AML while stressing the importance of identifying predictive biomarkers of response and biologically validated combination therapies to realize their therapeutic potential. One Sentence SummarySCD inhibition is toxic to AML cells with high rates of fatty acid desaturation and in combination with chemotherapy prolongs survival in murine AML models.

cancer biology↗

bioRxiv2023

Energy Guided Diffusion for Generating Neurally Exciting Images

In recent years, most exciting inputs (MEIs) synthesized from encoding models of neuronal activity have become an established method to study tuning properties of biological and artificial visual systems. However, as we move up the visual hierarchy, the complexity of neuronal computations increases. Consequently, it becomes more challenging to model neuronal activity, requiring more complex models. In this study, we introduce a new attention readout for a convolutional data-driven core for neurons in macaque V4 that outperforms the state-of-the-art task-driven ResNet model in predicting neuronal responses. However, as the predictive network becomes deeper and more complex, synthesizing MEIs via straightforward gradient ascent (GA) can struggle to produce qualitatively good results and overfit to idiosyncrasies of a more complex model, potentially decreasing the MEIs model-to-brain transferability. To solve this problem, we propose a diffusion-based method for generating MEIs via Energy Guidance (EGG). We show that for models of macaque V4, EGG generates single neuron MEIs that generalize better across architectures than the state-of-the-art GA while preserving the within-architectures activation and requiring 4.7x less compute time. Furthermore, EGG diffusion can be used to generate other neurally exciting images, like most exciting natural images that are on par with a selection of highly activating natural images, or image reconstructions that generalize better across architectures. Finally, EGG is simple to implement, requires no retraining of the diffusion model, and can easily be generalized to provide other characterizations of the visual system, such as invariances. Thus EGG provides a general and flexible framework to study coding properties of the visual system in the context of natural images.1

neuroscience↗

bioRxiv2023

Deep learning-driven characterization of single cell tuning in primate visual area V4 unveils topological organization

Deciphering the brains structure-function relationship is key to understanding the neuronal mechanisms underlying perception and cognition. The cortical column, a vertical organization of neurons with similar functions, is a classic example of primate neocortex structure-function organization. While columns have been identified in primary sensory areas using parametric stimuli, their prevalence across higher-level cortex is debated, particularly regarding complex tuning in natural image space. However, a key hurdle in identifying columns is characterizing the complex, nonlinear tuning of neurons to high-dimensional sensory inputs. Building on prior findings of topological organization for features like color and orientation, we investigate functional clustering in macaque visual area V4 in non-parametric natural image space, using large-scale recordings and deep learning-based analysis. We combined linear probe recordings with deep learning methods to systematically characterize the tuning of >1,200 V4 neurons using in silico synthesis of most exciting images (MEIs), followed by in vivo verification. Single V4 neurons exhibited MEIs containing complex features, including textures and shapes, and even high-level attributes with eye-like appearance. Neurons recorded on the same silicon probe, inserted orthogonal to the cortical surface, often exhibited similarities in their spatial feature selectivity, suggesting a degree of functional organization along the cortical depth. We quantified MEI similarity using human psychophysics and distances in a contrastive learning-derived embedding space. Moreover, the selectivity of the V4 neuronal population showed evidence of clustering into functional groups of shared feature selectivity. These functional groups showed parallels with the feature maps of units in artificial vision systems, suggesting potential shared encoding strategies. These results demonstrate the feasibility and scalability of deep learning-based functional characterization of neuronal selectivity in naturalistic visual contexts, offering a framework for quantitatively mapping cortical organization across multiple levels of the visual hierarchy.

neuroscience↗

bioRxiv2020

Noise Invariance in Inferior Colliculus Neurons is Dependant on the Input Noisy Conditions

The auditory system is extremely efficient to extract audio information in the presence of background noise. However, the neural mechanisms related to this efficiency is still greatly misunderstood, especially in the inferior colliculus (IC). In fact, while noise processing under different conditions has been investigated at the auditory cortex level, studies in the IC have been much limited. One interesting observation has been that there seems to be some degree of noise invariance in the IC in the presence of white noise. We wish to broaden this knowledge by investigating if there is a difference in the activity of neurons in the IC, when presenting noisy vocalisations with different types of noises, input signal-to-noise ratios (SNR) and signal levels. We do so using a generalized linear model (GLM), which gives us the ability to study the neural activity under these different conditions at a per neuron level. We found that non-stationary noise is the only noise type that clearly contributes to the neural activity in the IC, regardless of the SNR, input level or vocalisation type. However, when presenting white or natural stationary noises, a great diversity of responses was observed for the different conditions, where the activity of some neurons was affected by the presence of noise and the activity of others was not. Therefore, there seems to be some level of background noise invariance as early as the IC level, as reported before, however, this invariance seems to be highly dependent on the noisy conditions. New & NoteworthyThe neural mechanisms of auditory perception in the presence of background noise are still not well understood, especially in the IC. We studied neural activity in the IC when presenting noisy vocalisations using different background noise types, SNRs and input sound levels. We observed that only the non-stationary noise type clearly contributes to the neural activity in the IC. The noise invariance previously observed in the IC thus seems dependent on the noisy conditions.

neuroscience↗

bioRxiv2019

A Systems Approach Identifies Enhancer of Zeste Homolog 2 (EZH2) as a Protective Factor in Epilepsy

Complex neurological conditions can give rise to large scale transcriptomic changes that drive disease progression. It is likely that alterations in one or a few transcription factors or cofactors underlie these transcriptomic alterations. Identifying the driving transcription factors/cofactors is a non-trivial problem and a limiting step in the understanding of neurological disorders. Epilepsy has a prevalence of 1% and is the fourth most common neurological disorder. While a number of anti-seizure drugs exist to treat seizures symptomatically, none is curative or preventive. This reflects a lack of understanding of disease progression. We used a novel systems approach to mine transcriptome profiles of rodent and human epileptic brain samples to identify regulators of transcriptional networks in the epileptic brain. We find that Enhancer of Zeste Homolog 2 (EZH2) regulates differentially expressed genes in epilepsy across multiple rodent models of acquired epilepsy. EZH2 undergoes a prolonged upregulation in the epileptic brain. A transient inhibition of EZH2 immediately after seizure induction robustly increases spontaneous seizure burden weeks later. Thus, EZH2 upregulation is a protective response mounted after a seizure. These findings are the first to characterize a role for EZH2 in opposing epileptogenesis and debut a bioinformatic approach to identify nuclear drivers of complex transcriptional changes in disease.\n\nAuthor SummaryEpilepsy is the fourth most common neurological disorder and has been described since the time of Hippocrates. Despite this, no treatments exist to stop epilepsy progression. This is fundamentally due to the complex nature of the disease. Epilepsy is associated with hundreds if not thousands of gene expression changes in the brain that are likely driven by a few key master regulators called transcription factors and cofactors. Finding the aberrantly acting factors is a complex problem that currently lacks a satisfactory solution. We used a novel datamining tool to define key master regulators of gene expression changes across multiple epilepsy models and patient samples. We find that a nuclear enzyme, EZH2, regulates a large number of genes in the rodent and patient epileptic brain and that its function is protective. Thus, inhibiting EZH2 greatly exacerbates seizure burden. This is the first report of a novel datamining tool to define drivers of large-scale gene changes and is also the first report of EZH2 induction as an endogenous protective response in the epilepsy.

neuroscience↗

bioRxiv2018

Anti-α4β7 therapy targets lymphoid aggregates in the gastrointestinal tract of HIV-1 infected individuals

Herein, we present the first human study of anti-4{beta}7 therapy in a cohort of HIV-1 infected subjects with mild inflammatory bowel disease. 4{beta}7+ gut homing CD4+ T cells are early viral targets and contribute to HIV-1 pathogenesis, likely by seeding the gastrointestinal (GI) tract with HIV. Although, simianized anti-4{beta}7 monoclonal antibodies (Mab) have shown promise in preventing or attenuating the disease course of SIV in Non-Human Primate studies, the mechanisms of drug action remain elusive and the impact on HIV-1 persistence remains unanswered. By sampling the immune inductive and effector sites of the GI tract, we have discovered that anti-4{beta}7 therapy led to a significant and unexpected attenuation of lymphoid aggregates, most notably in the terminal ileum. Given that lymphoid aggregates serve as important sanctuary sites for establishing and maintaining viral reservoirs, their attrition by anti-4{beta}7 therapy has important implications for HIV-1 therapeutics and eradication efforts, and defines a rational basis for the continued evaluation of anti-4{beta}7 therapy in HIV-1 infection.\n\nOne Sentence SummaryAnti-4{beta}7 integrin therapy results in attrition of lymphoid aggregates within the gastrointestinal tract of HIV-1 infected individuals

immunology↗