Biology subjects

Bautista, C.

Publications and source records attributed to Bautista, C..

12 recordsLinked to original sources

bioRxiv2026

Population genomics of Candida albicans reveals genetic footprints that allow the prediction of antifungal resistance

Rapid detection of drug resistance in fungi is becoming increasingly urgent. While multiple loci and mutations were linked to antifungal resistance in Candida albicans, the utility of whole genome sequencing in predicting resistance has not been tested thoroughly. We address this by integrating more than 1000 C. albicans genomes, with associated resistance phenotypes to six antifungals, a curated repository of resistance-causing mutations and variant effect predictors. We used Genome Wide Association Studies and Machine Learning approaches to associate genetic variants to resistance phenotypes. We found that well curated databases like FungAMR are able to accurately identify markers predictive antifungal resistance. Curated mutations were detected in 56 to 74% of isolates with reduced azole susceptibility and 57 to 90% of those with reduced echinocandin susceptibility, revealing incomplete coverage of resistance across both drug classes. Complementary variant- and gene-level association analyses recovered established resistance determinants and uncovered additional candidate loci, whereas copy-number changes provided limited independent explanatory power. Genomic prediction declined when genetic backgrounds were absent from training, and when leading predictive features differed among backgrounds. We also found that models trained on a curated list of mutations and variant effect predictors performed well when classifying drug-susceptible strains, but the drug-resistance trait was predicted with lower accuracy. These findings support the potential of genome-based resistance prediction while highlighting the need for broader population sampling, functional validation of candidate variants and expanded resistance catalogues to improve prediction across genetic backgrounds.

microbiology↗

bioRxiv2026

Lateral flow devices can fast-track rabies virus genomic surveillance

Viral genomic data can resolve rabies transmission and guide outbreak response, but surveillance is often limited less by sequencing capacity than by getting suitable specimens from remote collection sites to a laboratory, a process that can take months. Here, we show that lateral flow devices (LFDs) used for rabies diagnosis can also serve as genomic specimens, integrating diagnosis and genomic sampling into a single workflow without additional specimen collection. We evaluated LFDs and FTA cards for rabies virus genome recovery under laboratory and field conditions. During surveillance across the island provinces of MIMAROPA, Philippines, the Bionote LFD had 99.1% sensitivity and 100% specificity against the gold-standard direct fluorescent antibody test (n = 319), with results available a median of 1 day after sampling versus 5 days for DFAT confirmation. Under laboratory conditions simulating field storage (ambient temperature or 37 degrees Celsius for up to 21 days), both residual LFD material and FTA cards supported near-complete genome sequencing, although genome recovery declined with storage duration, particularly at elevated temperatures. Consistent with this, field-collected LFDs yielded near-complete genomes up to 23 days of ambient storage but only partial genomes after 29-77 days, indicating a practical window of around three weeks for use. Repurposing LFDs already embedded in diagnostic workflows offers a practical route to decentralised genomic surveillance without additional sample collection or a cold chain. FTA cards provide a complementary preservation option, while further optimisation of specimen preparation, extraction and storage could improve genome recovery and extend the sequencing window.

molecular biology↗

bioRxiv2026

A simple method of estimating rabies outbreak sizes from phylogenies

The ability to estimate the size of a disease outbreak is beneficial both for coordinating an outbreak response and for retrospectively evaluating the effectiveness of response measures and surveillance. Methods such as seroprevalence surveys and epidemiological modelling can be used for this purpose, but are not suitable for every outbreak. We develop a simple formula to estimate the proportion of outbreak cases sequenced, using only the per-generation substitution rate and the length of a phylogenetic tree. This proportion can then be used to estimate the outbreak size. We validate this method using subsampled data from fully observed simulated outbreaks, and then apply it to an ongoing rabies outbreak in the Philippines. We find that this method produces accurate estimates of outbreak size and can be applied to outbreaks with substitution rates and R0 values within the estimated range for rabies. We estimated that approximately 19% of cases from the outbreak in the Philippines had been sequenced, suggesting better than average case detection, with a resulting outbreak size estimate consistent with previous analyses. With this method and the associated R package POSER (https://github.com/RowanDurrant/poser), we aim to make rabies outbreak size estimation more accessible, but further work is required to improve its applicability to other diseases.

genetics↗

bioRxiv2026

Effect of endogenous and exogenous ketosis in acute spinal cord injury in Wistar rats.

Acute spinal cord injury is a condition with a poor prognosis, leading to reduced quality of life and high economic costs for both patients and health systems, and only a minority of patients with this injury can achieve a meaningful recovery. Given the high frequency of traumatic events such as vehicle collisions and falls, research aimed at limiting injury extension, promoting neuronal recovery, and improving prognosis is essential. It has been shown that ketone bodies have anti-inflammatory properties and also mediate the Nrf2 pathway, exerting antioxidant effects. The aim was to identify any alternative to mitigate the extension and progression of secondary injury by using 1,3 butanediol as a {beta}-hydroxybutyrate source. An experimental model (n= 60) of clinically healthy male Wistar rats were used, divided into five groups (n=12) as a control group, while the remaining rats were subjected to extradural spinal cord clipping according to the following groups (n=12): Spinal Cord Injury (SCI); endogenous ketosis + methylprednisolone (Endo-K+MP); exogenous ketosis + methylprednisolone (Exo-K+MP), and methylprednisolone (MP). After 8 hours of spinal cord injury, tissue was collected, immunohistochemistry and PCR analyses were carried out. Nrf2 and 3NT for the antioxidant pathway, and HIF-1, NFkB, NLRP3, TNF-[a] and IL-1{beta} for inflammation were analyzed. Results demonstrated that the groups thrown into a ketosis state had better outcomes, and, according to the Exo-k+MP and Endo-k+MP groups, increased Nrf2 and decreased 3NT (p < 0.05), which resulted in an upregulation of antioxidant pathways. According to HIF-1 and NF{kappa}B, Endo-K+MP showed better outcomes p<0.05 and proinflammatory cytokines showed the same pattern as the standard treatment (MP) p<0.05). Overall, our results also demonstrated a downregulation of inflammatory pathways. Author SummarySpinal cord injury is a devastating condition that frequently results in permanent neurological damage, reduced quality of life, and high social and healthcare costs. Current treatments are limited and mainly focus on reducing inflammation after injury, with methylprednisolone being one of the most commonly used therapies despite its associated adverse effects. Previous studies have shown that ketosis, a metabolic state characterized by increased ketone bodies, has anti-inflammatory and antioxidant properties in several neurological conditions. In this study, we investigated whether inducing ketosis could improve early outcomes after acute spinal cord injury. Using a rat model, we compared the effects of endogenous ketosis (induced by fasting) and exogenous ketosis (induced by ketone precursors), alone or in combination with methylprednisolone. We analyzed inflammatory and oxidative stress pathways using immunohistochemistry and molecular techniques. Our findings show that ketosis enhances the anti-inflammatory and antioxidant effects of methylprednisolone, leading to reduced activation of inflammatory pathways and increased antioxidant responses during the first hours after injury. These results suggest that metabolic interventions such as ketosis may represent a promising complementary strategy to improve early management of spinal cord injury.

neuroscience↗

bioRxiv2025

Cellular metabolic state controls mitochondrial RNA kinetics

Human mitochondrial genome encodes essential genes for the oxidative phosphorylation (OXPHOS) complexes. These genes must be transcribed and translated in coordination with nuclear-encoded OXPHOS components to ensure correct stoichiometry during OXPHOS complex assembly in the mitochondria. While much is known about nuclear gene regulation during metabolic stresses like glucose deprivation, little is known about the accompanying transcriptional response in mitochondria. Using microscopy, roadblocking qPCR, and transcriptomics, we studied mitochondrial transcription in cells subjected to glucose deprivation, which is known to cause nuclear transcription downregulation and to activate the integrated stress response (ISR). We found that glucose deprivation stabilizes mitochondrial RNAs and slows mitochondrial transcription, effects that are quickly reversed with glucose reintroduction. Although transcriptomics revealed strong upregulation of the ISR, mitochondrial RNA stabilization was not upregulated by pharmacological activation of the ISR, but was promoted by inhibition of glycolysis, unveiling a direct connection between metabolism and regulation of mitochondrial gene expression.

molecular biology↗

bioRxiv2025

LetA defines a structurally distinct transporter family involved in lipid trafficking

Membrane transport proteins translocate diverse cargos, ranging from small sugars to entire proteins, across cellular membranes. A few structurally distinct protein families have been described that account for most of the known membrane transport processes. However, many membrane proteins with predicted transporter functions remain uncharacterized. We determined the structure of E. coli LetAB, a phospholipid transporter involved in outer membrane integrity, and found that LetA adopts a distinct architecture that is structurally and evolutionarily unrelated to known transporter families. LetA functions as a pump at one end of a ~225 [A] long tunnel formed by its binding partner, MCE protein LetB, creating a pathway for lipid transport between the inner and outer membranes. Unexpectedly, the LetA transmembrane domains adopt a fold that is evolutionarily related to the eukaryotic tetraspanin family of membrane proteins, including TARPs and claudins. LetA has no detectable homology to known transport proteins, and defines a new class of membrane transporters. Through a combination of deep mutational scanning, molecular dynamics simulations, AlphaFold-predicted alternative states, and functional studies, we present a model for how the LetA-like family of membrane transporters may use energy from the proton-motive force to drive the transport of lipids across the bacterial cell envelope.

biophysics↗

bioRxiv2023

Hybrid adaptation is hampered by Haldane's sieve

Hybrids between species exhibit plastic genomic architectures that foster phenotypic diversity. Their genomic instability also incurs costs, potentially limiting adaptation. When challenged to evolve in an environment containing a UV mimetic drug, yeast hybrids have reduced adaptation rates compared to parents. We hypothesized that this reduction could result from a faster accumulation of genomic changes, but we found no such association. Alternatively, we proposed that hybrids might lack access to adaptive mutations occurring in the parents, yet, we identified mutations in the same genes (PDR1 and YRR1), suggesting similar molecular adaptation mechanisms. However, mutations in these genes tended to be homozygous in the parents but heterozygous in the hybrids. We hypothesized that a lower rate of loss of heterozygosity (LOH) in hybrids could limit fitness gain. Using genome editing, we demonstrated that mutations display incomplete dominance, requiring homozygosity to show full impact and to circumvent Haldanes sieve, which favors the fixation of dominant mutations. We used frozen fossils to track genotype frequency dynamics and confirmed that LOH occurs at a slower pace in hybrids than in parents. Together, these findings show that Haldanes sieve slows down adaptation in hybrids, revealing an intrinsic constraint of hybrid genomic architecture that can limit the role of hybridization in adaptive evolution.

evolutionary biology↗

bioRxiv2022

A simplified, amplicon-based method for whole genome sequencing of human respiratory syncytial viruses

Human Respiratory Syncytial Virus (RSV) infections pose a significant risk to human health worldwide, especially for young children. Whole genome sequencing (WGS) provides a useful tool for global surveillance to better understand the evolution and epidemiology of RSV and provide essential information that may impact on antibody treatments, antiviral drug sensitivity and vaccine effectiveness. Here we report the development of a rapid and simplified amplicon-based one-step multiplex reverse-transcription polymerase chain reaction (mRT-PCR) for WGS of both human RSV-A and RSV-B viruses. The method requires only two reactions for each sample, which significantly reduces the cost and time compared to other commonly used RSV WGS methods. In silico analysis and laboratory testing revealed that the primers used in the new method covered most of the currently circulating RSV-A and RSV-B. Amplicons generated were suitable for both Illumina and Oxford Nanopore Technologies (ONT) NGS platforms. This new method was tested on 200 clinical samples collected in Australia in 2020 and 2021 with RSV Ct values between 10 and 32. A success rate of 88% with a full coverage for the genome of 99 RSV-A and 77 RSV-B was achieved. This assay is simple to set up, robust, easily scalable in sample preparation and relatively inexpensive, and as such, provides a valuable addition to existing NGS RSV WGS methods.

genomics↗

bioRxiv2022

Csf1 from marrow adipogenic precursors is required for osteoclast formation and hematopoiesis in bone

Colony stimulating factor 1 (Csf1) is an essential growth factor for osteoclast progenitors and thus an important regulator for bone resorption. It remains elusive which mesenchymal cells synthesize Csf1 stimulating osteoclastogenesis. We recently identified a novel mesenchymal cell population, marrow adipogenic lineage precursors (MALPs), in bone. Single cell RNA- sequencing indicated specific expression of Csf1 in MALPs, which is further increased during aging. To investigate its role, we constructed Csf1 CKO mice using Adipoq-Cre. These mice showed increased femoral trabecular bone over time, but their cortical bone appeared normal. In comparison, depletion of Csf1 in the entire mesenchymal lineage using Prx1-Cre led to a more striking high bone mass phenotype, suggesting that additional mesenchymal subpopulations secrete Csf1. TRAP staining revealed diminished osteoclasts in the femoral secondary spongiosa region of Csf1 CKOAdipoq mice, but not at the chondral-osseous junction nor at the endosteal surface of cortical bone. Moreover, Csf1 CKOAdipoq mice were resistant to LPS-induced calvarial osteolysis. Bone marrow cellularity, hematopoietic progenitors, and macrophages were also reduced in these mice. Taken together, our studies demonstrate that MALPs are a critical player in controlling bone remodeling and hematopoiesis.

cell biology↗

bioRxiv2021

Toeholder: a software for automated design and in silico validation of toehold riboswitches

Synthetic biology aims to engineer biological circuits, which often involve gene expression. A particularly promising group of regulatory elements are riboswitches because of their versatility with respect to their targets, but early synthetic designs were not as attractive because of a reduced dynamic range with respect to protein regulators. Only recently, the creation of toehold switches helped overcome this obstacle by also providing an unprecedented degree of orthogonality. However, a lack of automated design and optimization tools prevents the widespread and effective use of toehold switches in high throughput experiments. To address this, we developed Toeholder, a comprehensive open-source software for toehold design and in silico comparison. Toeholder takes into consideration sequence constraints from experimentally tested switches, as well as data derived from molecular dynamics simulations of a toehold switch. We describe the software and its in silico validation results, as well as its potential applications and impacts on the management and design of toehold switches.

bioinformatics↗

bioRxiv2020

DETECTION OF INCIPIENT PANCREATIC CANCER WITH NOVEL TUMOR-SPECIFIC ANTIBODIES IN MOUSE MODELS

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy, as 90% of patients do not survive beyond five years from diagnosis. This dismal prognosis is largely due to the advanced stage of the disease at diagnosis, which precludes potentially curative surgical resection. Although early detection strategies hold significant promise for improving patient outcomes, there is still no accurate diagnostic tool to detect incipient PDAC. Here, we sought to develop antibodies for the early detection of PDAC by positron-emission tomography (PET) imaging. Accordingly, we establish a pipeline to generate novel tumor-specific monoclonal antibodies (mAbs) against cell-surface proteins of PDAC patient-derived organoids (PDOs). We identify a panel of 16 tumor organoid-binding antibodies (TOBi-bodies) that display high reactivity to human PDAC tissues but not to matched adjacent normal pancreas. We then employ biochemical, flow cytometric, mass spectrometric, and CRISPR/Cas9-mediated knockout methods to determine the cognate antigens of these TOBi-bodies. We identify two mAbs that bind to tumor-specific variants of the surface protein CEACAM6 and show minimal binding to normal tissues. PET imaging in mouse models using these TOBi-bodies enables the detection of incipient human organoid-derived PDAC tumors that are rather undetectable by palpation or high-resolution ultrasound imaging techniques. We propose that further development of these mAbs as PET radiotracers could facilitate the early detection and accurate staging of PDAC.

cancer biology↗

bioRxiv2020

Interspecific Hybrids Show a Reduced Adaptive Potential Under DNA Damaging Conditions

Hybridization may increase the probability of adaptation to extreme stresses. This advantage could be caused by an increased genome plasticity in hybrids, which could accelerate the search for adaptive mutations. High ultraviolet (UV) radiation is a particular challenge in terms of adaptation because it affects the viability of organisms by directly damaging DNA, while also challenging future generations by increasing mutation rate. Here we test if hybridization accelerates adaptive evolution in response to DNA damage, using yeast as a model. We exposed 180 populations of hybrids between species (Saccharomyces cerevisiae and Saccharomyces paradoxus) and their parental strains to UV mimetic and control conditions for approximately 100 generations. Although we found that adaptation occurs in both hybrids and parents, hybrids achieved a lower rate of adaptation, contrary to our expectations. Adaptation to DNA damage conditions comes with a large and similar cost for parents and hybrids, suggesting that this cost is not responsible for the lower adaptability of hybrids. We suggest that the lower adaptive potential of hybrids in this condition may result from the interaction between DNA damage and the inherent genetic instability of hybrids.Competing Interest StatementThe authors have declared no competing interest.View Full Text

ecology↗