Biology subjects

Vera, P.

Publications and source records attributed to Vera, P..

5 recordsLinked to original sources

bioRxiv2026

Bone Marrow Mesenchymal Stem Cells Therapy for Premature Ovarian Insufficiency: A Systematic Review and Meta-analysis of Preclinical Studies

BackgroundPremature ovarian insufficiency (POI) affects approximately 1% of women under 40 and is characterized by elevated levels of gonadotropins, reduced estradiol, impaired folliculogenesis, and infertility. Bone marrow-derived mesenchymal stem cell (BM-MSC)-based therapy has emerged as a promising regenerative strategy in preclinical POI models. This systematic review and meta-analysis evaluated BM-MSC-based interventions, including cell transplantation and secretome/extracellular vesicle administration, in animal models of POI. MethodsA systematic review and meta-analysis was conducted following PRISMA guidelines. PubMed, Web of Science, Scopus, ScienceDirect, and the Cochrane Library were searched from inception to February 19, 2025. Preclinical studies assessing BM-MSC-based interventions in animal models of POI were included. ResultsThirty-four studies comprising 1,357 animals were included. Compared with controls, BM-MSC-based therapy increased serum estradiol (standardized mean difference [SMD] 3.11; 95% confidence interval [CI] 2.38-3.84) and anti-Mullerian hormone (SMD 1.86; 95% CI 1.03-2.69), while reducing follicle-stimulating hormone (SMD -3.54; 95% CI -4.37 to -2.71) and luteinizing hormone (SMD -3.44; 95% CI -5.17 to -1.70). Follicular counts increased across developmental stages, with fewer atretic follicles. Reproductive outcomes improved, including normal estrous cycles (risk ratio [RR] 7.80; 95% CI 3.15-19.34), pregnancy occurrence (RR 3.72; 95% CI 2.14-6.44), and offspring number (SMD 1.57; 95% CI 1.04-2.09). ConclusionBM-MSC-based therapy consistently improved hormonal, follicular, and reproductive outcomes in preclinical POI models. More well-designed, standardized, and adequately controlled studies to confirm these findings are warranted. Systematic review registration: CRD42023449053

cell biology↗

bioRxiv2026

Enhanced Viral Detection in Grapevine via Exome Depletion and Next-Generation Sequencing (NGS)

Grapevine (Vitis vinifera L.) is highly prone to viral infections that pose a significant threat to global viticulture sustainability. Traditional detection methods, such as PCR and ELISA, are limited to well-known pathogens, highlighting the need for more comprehensive and unbiased approaches. Here, we present the development of a cost-effective viral enrichment system adapted to next-generation sequencing (NGS) for the detection and characterization of grapevine viruses. Our strategy leverages hybridization-based capture using biotin-labeled cDNA probes hereafter named "Chloro-Zero") designed to selectively deplete highly abundant host transcripts particularly plastid and ribosomal RNAs while preserving viral RNA. Probe design was informed by transcriptomic analysis of V. vinifera. We evaluated different subtractor-to-target RNA ratios, observing a consistent reduction of host RNA and a moderate enrichment of viral sequences. NGS analysis revealed improved recovery of low-abundance viral transcripts, with coverage levels comparable, to a certain extent, to those obtained using previously available commercial kits, but at a significantly lower cost. Although variability in depletion efficiency was observed, the results demonstrate the potential of this scalable and locally adaptable protocol for virome profiling in grapevines. By addressing key limitations of current depletion methods, our approach facilitates the detection of emerging viral threats and supports the development of more effective certification programs and sustainable management practices. Ongoing improvements in probe design and bioinformatic workflows are expected to enhance performance, providing a robust platform for broader applications in plant virology.

plant biology↗

bioRxiv2024

Genome-wide diversity in lowland and highland maize landraces from southern South America: population genetics insights to assist conservation

Maize (Zea mays ssp. mays L.) landraces are traditional American crops with high genetic variability that conform a source of original alleles for conventional maize breeding. Northern Argentina, one the southernmost regions of traditional maize cultivation in the Americas, harbours around 57 races traditionally grown in two regions with contrasting environmental conditions, namely the Andean mountains in the Northwest and the tropical grasslands and Atlantic Forest in the Northeast. These races encounter diverse threats to their genetic diversity and persistence in their regions of origin, with climate change standing out as one of the major challenges. In this work, we use genome-wide SNPs derived from ddRADseq to study the genetic diversity of individuals representing the five groups previously described for this area. This allowed us to distinguish two clearly differentiated gene pools, the Highland Northwestern maize (HNWA) and the Floury Northeastern maize (FNEA). Subsequently, we employed Essential Biodiversity Variables at the genetic level, as proposed by the Group on Earth Observations Biodiversity Observation Network (GEO BON), to evaluate the conservation status of these two groups. This assessment encompassed genetic diversity (Pi), inbreeding coefficient (F), and effective population size (Ne). FNEA showed low Ne values and high F values, while HNWA showed low Ne values and low Pi values, indicating that further genetic erosion is imminent for these landraces. Outlier detection methods allowed identification of putative adaptive genomic regions, consistent with previously reported flowering-time loci and chromosomal regions displaying introgression from the teosinte Zea mays ssp. mexicana. Finally, species distribution models were obtained for two future climate scenarios, showing a notable reduction in the potential planting area of HNWA and a shift in the cultivation areas of FNEA. Taken together, these results suggest that maize landraces from Northern Argentina may not be able to cope with climate change. Therefore, active conservation policies are advisable.

genomics↗

bioRxiv2022

Subtilases turn on Pectin Methylesterase activity for a robust apoplastic immunity against pathogens

Plants involve a fine modulation of pectin methylesterase (PME) activity against microbes. PME activity can promote the cell wall stiffening and the production of damage signals able to induce defense responses. However, to date, the knowledge about the molecular mechanisms triggering PME activity during disease remains largely unknown. In this study, we explored the role of subtilases (SBTs), serine proteases consisting of 56 isoforms in Arabidopsis thaliana, as activators of PME activity in plant immunity. By using biochemical and reverse genetic approaches, we found that SBT3.3 and SBT3.5 are required to control PME activity and resistance to the fungus Botrytis cinerea. Arabidopsis sbt3.3 and sbt3.5 knockout mutants showed a reduced induction of PME activity and an increased susceptibility to B. cinerea. SBT3.3 expression is controlled by the damage-associated molecular patterns Oligogalacturonides. The SBT3.3 overexpression overactivates PME activity, but only during fungal infection, resulting in an increased expression of the defense-related genes and in an enhanced resistance to B. cinerea. We revealed that SBT3.3 and the Pro-PME17 isoforms are both secreted in the cell wall exploiting distinct protein secretion pathways and a different kinetic. Our findings point to SBTs as a mechanism to switch on PME activity and the related pectin integrity signaling to strengthen plant immunity against pests, in a timely manner to avoid the growth-defense trade-off. One sentence SummarySubtilases arm pectin methylesterase activity against pathogens to switch on pectin integrity signalling, reinforcing plant immunity and avoiding the growth-defense trade-offs

plant biology↗

bioRxiv2019

UMI-VarCal: a new UMI-based variant caller that efficiently improves low-frequency variant detection in paired-end sequencing NGS libraries

1DisclaimerThe author has withdrawn version 2 of this manuscript due to a duplicate posting of manuscript number 027532. Therefore, the author does not wish this work to be cited as reference for the project. 775817v1 is the appropriate submission and the published version of the appropriate preprint can be found in the published article link. If you have any questions, please contact the corresponding author.

bioinformatics↗