72 research outputs found
Relationship between density- and frequency-dependent effects in two strains of Drosophila melanogaster
Molecular aspects in pathogen-fruit interactions: Virulence and resistance
Fruit losses during postharvest storage and handling due to pathogen infections are one of the major problems in the global food chain supply. The application of chemical fungicides to control diseases is currently limited by legislation in some countries and also raises concerns about food and environmental safety. Exploring molecular aspects of pathogen-fruit interactions therefore has biological and economic significance as a means to help develop rational alternatives for disease control. In this review we present the current knowledge of molecular aspects in pathogen-fruit interactions, addressing the following topics: the application of new “omics” technologies for studying these interactions; the molecular mechanisms of fungal pathogen attack; the regulation of virulence by exogenous factors; and, finally, fruit defense mechanisms.Work in Tian’s lab has been funded by the National Natural Science Foundation of China (31530057; 31371863). Work in the LGC lab has been funded by the Spanish Ministry of Economy and Competitiveness (AGL2011-30519-C03-01 and AGL2014-55802-R) and the Generalitat Valenciana (PrometeoII/2014/027). Work in the IRTA lab has been funded by the Spanish Ministry of Economy and Competitiveness by three national projects AGL2008-04828-C01/AGR, AGL2011-30519-C03/AGR and AGL2014-55287-C02.Peer reviewe
Genomic determinants of speciation and spread of the Mycobacterium tuberculosis complex
Models on how bacterial lineages differentiate increase our understanding of early bacterial speciation events and the genetic loci involved. Here, we analyze the population genomics events leading to the emergence of the tuberculosis pathogen. The emergence is characterized by a combination of recombination events involving core pathogenesis functions and purifying selection on early diverging loci. We identify the phoR gene, the sensor kinase of a two-component system involved in virulence, as a key functional player subject to pervasive positive selection after the divergence of the Mycobacterium tuberculosis complex from its ancestor. Previous evidence showed that phoR mutations played a central role in the adaptation of the pathogen to different host species. Now, we show that phoR mutations have been under selection during the early spread of human tuberculosis, during later expansions, and in ongoing transmission events. Our results show that linking pathogen evolution across evolutionary and epidemiological time scales points to past and present virulence determinants.Peer reviewe
Evolutionary and phenotypic characterization of two spike mutations in European lineage 20E of SARS-CoV-2.
We have detected two mutations in the spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at amino acid positions 1163 and 1167 that appeared independently in multiple transmission clusters and different genetic backgrounds. Furthermore, both mutations appeared together in a cluster of 1,627 sequences belonging to clade 20E. This cluster is characterized by 12 additional single nucleotide polymorphisms but no deletions. The available structural information on the S protein in the pre- and postfusion conformations predicts that both mutations confer rigidity, which could potentially decrease viral fitness. Accordingly, we observed reduced infectivity of this spike genotype relative to the ancestral 20E sequence in vitro, and the levels of viral RNA in nasopharyngeal swabs were not significantly higher. Furthermore, the mutations did not impact thermal stability or antibody neutrali- zation by sera from vaccinated individuals but moderately reduce neutralization by convalescent-phase sera from the early stages of the pandemic. Despite multi- ple successful appearances of the two spike mutations during the first year of SARS-CoV-2 evolution, the genotype with both mutations was displaced upon the expansion of the 20I (Alpha) variant. The midterm fate of the genotype investi- gated was consistent with the lack of advantage observed in the clinical and ex- perimental data
Rendimiento de trébol rojo (Trifolium pratense L.) a diferente edad de cosecha
Objective: The objective of this research was to obtain the optimum cutting moment of the red clover by varying the cutting frequency in the spring season.
Design/methodology/approach: The treatments were cuts at different ages (eight weeks) in the spring season. The variables studied were: forage accumulation, botanical and morphological composition, foliar area per stem and photosynthesis. The statistical analysis of the data obtained was performed with the GLM procedure of the SAS statistical package. The results obtained in yield of dry matter showed an increase as the age of regrowth advanced, in week 8, 5013 kg MS ha-1 total were obtained, resulting in the maximum value registered. There was a direct positive relationship between the mass of green leaves, rate of photosynthesis, leaf area per stem and leaf: stem ratio, with the best values ??recorded at the fourth week of regrowth. The morphological component that contributes most to forage yield was the stem with an average of 55% in all the weeks except the fourth.
Limitations on study/implications: After the fourth week the unwanted structural characteristics increase.
Findings/conclusions: It is concluded that the yield increases as the evaluation time passes and it is recommended to harvest the red clover in the fourth week of regrowth.Objetivo: El objetivo de esta investigación fue obtener el momento óptimo de corte del trébol rojo variando la frecuencia de corte en la estación de primavera.
Diseño/metodología/aproximación: Los tratamientos fueron los cortes a diferente edad (ocho semanas) en la estación primavera. Las variables estudiadas fueron: acumulación de forraje, composición botánica y morfológica, área foliar por tallo y fotosíntesis. El análisis estadístico de los datos obtenidos se realizó con el procedimiento GLM del paquete estadístico SAS.
Resultados: Los resultados obtenidos en rendimiento de materia seca mostraron un aumento conforme avanzo la edad de rebrote, en la semana 8 se obtuvieron 5,013 kg MS ha-1 total que resulto el máximo valor registrado. Existió una relación positiva directa entre la masa de hojas verdes, tasa de fotosíntesis, área foliar por tallo y relación hoja:tallo, registrándose los mejores valores a la cuarta semana de rebrote. El componente morfológico que más contribuye al rendimiento de forraje fue el tallo con un promedio de 55 % en todas las semanas excepto la cuarta.
Limitaciones del estudio/implicaciones: Después de la cuarta semana aumentan características estructurales no deseadas.
Hallazgos/conclusiones: Se concluye que el rendimiento se incrementa conforme pasa el tiempo de evaluación y se recomienda cosechar el trébol rojo en la cuarta semana de rebrote
The International Virus Bioinformatics Meeting 2023
The 2023 International Virus Bioinformatics Meeting was held in Valencia, Spain, from 24–26 May 2023, attracting approximately 180 participants worldwide. The primary objective of the conference was to establish a dynamic scientific environment conducive to discussion, collaboration, and the generation of novel research ideas. As the first in-person event following the SARS-CoV-2 pandemic, the meeting facilitated highly interactive exchanges among attendees. It served as a pivotal gathering for gaining insights into the current status of virus bioinformatics research and engaging with leading researchers and emerging scientists. The event comprised eight invited talks, 19 contributed talks, and 74 poster presentations across eleven sessions spanning three days. Topics covered included machine learning, bacteriophages, virus discovery, virus classification, virus visualization, viral infection, viromics, molecular epidemiology, phylodynamic analysis, RNA viruses, viral sequence analysis, viral surveillance, and metagenomics. This report provides rewritten abstracts of the presentations, a summary of the key research findings, and highlights shared during the meeting
BasicS, an Euphresco international network on renewable natural substances for durable crop protection products.
Comparison of body mass index (BMI) with the CUN-BAE body adiposity estimator in the prediction of hypertension and type 2 diabetes
Background Obesity is a world-wide epidemic whose prevalence is underestimated by BMI measurements, but CUN-BAE (Clínica Universidad de Navarra - Body Adiposity Estimator) estimates the percentage of body fat (BF) while incorporating information on sex and age, thus giving a better match. Our aim is to compare the BMI and CUN-BAE in determining the population attributable fraction (AFp) for obesity as a cause of chronic diseases. Methods We calculated the Pearson correlation coefficient between BMI and CUN-BAE, the Kappa index and the internal validity of the BMI. The risks of arterial hypertension (AHT) and diabetes mellitus (DM) and the AFp for obesity were assessed using both the BMI and CUN-BAE. Results 3888 white subjects were investigated. The overall correlation between BMI and CUN-BAE was R2 = 0.48, which improved when sex and age were taken into account (R2 > 0.90). The Kappa coefficient for diagnosis of obesity was low (28.7 %). The AFp was 50 % higher for DM and double for AHT when CUN-BAE was used. Conclusions The overall correlation between BMI and CUN-BAE was not good. The AFp of obesity for AHT and DM may be underestimated if assessed using the BMI, as may the prevalence of obesity when estimated from the percentage of BF
Spread of a SARS-CoV-2 variant through Europe in the summer of 2020.
Following its emergence in late 2019, the spread of SARS-CoV-21,2 has been tracked by phylogenetic analysis of viral genome sequences in unprecedented detail3–5. Although the virus spread globally in early 2020 before borders closed, intercontinental travel has since been greatly reduced. However, travel within Europe resumed in the summer of 2020. Here we report on a SARS-CoV-2 variant, 20E (EU1), that was identified in Spain in early summer 2020 and subsequently spread across Europe. We find no evidence that this variant has increased transmissibility, but instead demonstrate how rising incidence in Spain, resumption of travel, and lack of effective screening and containment may explain the variant’s success. Despite travel restrictions, we estimate that 20E (EU1) was introduced hundreds of times to European countries by summertime travellers, which is likely to have undermined local efforts to minimize infection with SARS-CoV-2. Our results illustrate how a variant can rapidly become dominant even in the absence of a substantial transmission advantage in favourable epidemiological settings. Genomic surveillance is critical for understanding how travel can affect transmission of SARS-CoV-2, and thus for informing future containment strategies as travel resumes. © 2021, The Author(s), under exclusive licence to Springer Nature Limited
Whole transcriptome analysis of Penicillium digitatum strains treatmented with prochloraz reveals their drug-resistant mechanisms
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