257 research outputs found

    Que hi ha darrere del genoma?

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    Jean Weissenbach

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    John Avise, un biòleg en la tercera via

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    Genética y evolución en la pandemia de COVID-19

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    La pandemia ocasionada por el coronavirus SARS-CoV-2 ha alterado la vida, la economía, las relaciones sociales y personales en nuestro planeta y, desgraciadamente, ha producido más de 5 millones de muertes (datos a noviembre de 2021). Por otra parte, ha puesto de manifiesto el papel esencial que tiene la investigación biomédica y lo dependiente que es nuestra sociedad de muchos trabajos científicos que solían pasar inadvertidos. Además de mostrar el poder que se deriva de la acción coordinada y cooperativa de grupos de investigación, la pandemia también ha puesto un foco en disciplinas que, en gran medida, han sido ignoradas hasta el momento. La aparición de variantes de preocupación e interés y su relación con los incrementos en la incidencia de las infecciones en diferentes olas o la posibilidad de que representen escapes vacunales ha llevado a la OMS a establecer la vigilancia genómica como una de las herramientas fundamentales para conocer y controlar la expansión del virus. En este artículo, vamos a analizar algunos aspectos fundamentales de la evolución y genética de las poblaciones del virus y cómo nos pueden ayudar a interpretar adecuadamente los datos derivados de los análisis de secuencias completas del genoma viral, método ideal para realizar dicha vigilancia

    La teoría de la evolución en los juzgados

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    La teoría de la evolución y sus implicaciones en otros campos, concretamente en este artículo se incide en el aspecto judicial. Resulta que los mismos postulados evolutivos que son discutidos y reprobados en algunos tribunales son aceptados en otros como evidencias científicas en casos criminales. La teoría evolutiva ha hecho una irrupción insospechada hace apenas unos años en los tribunales de justici

    Comparative analysis of variation and selection in the HCV genome

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    Genotype 1 of the hepatitis C virus (HCV) is themost prevalent of the variants of this virus. Its two main subtypes, HCV-1a and HCV-1b, are associated to differences in epidemic features and risk groups, despite sharing similar features in most biological properties. We have analyzed the impact of positive selection on the evolution of these variants using complete genome coding regions, and compared the levels of genetic variability and the distribution of positively selected sites. We have also compared the distributions of positively selected and conserved sites considering different factors such as RNA secondary structure, the presence of different epitopes (antibody, CD4 and CD8), and secondary protein structure. Less than 10% of the genome was found to be under positive selection, and purifying selection was the main evolutionary process acting in both subtypes. We found differences in the number of positively selected sites between subtypes in several genes (Core, HVR2 in E2, P7, helicase in NS3 and NS4a). Heterozygosity values in positively selected sites and the rate of non-synonymous substitutions were significantly higher in subtype HCV-1b. Logistic regression analyses revealed that similar selective forces act at the genome level in both subtypes: RNA secondary structure and CD4 T-cell epitopes are associated with conserved sites, while CD8 T-cell epitopes are associatedwith positive selection in both subtypes. These results indicate that similar selective constraints are acting along HCV-1a and HCV-1 b genomes, despite some differences in the distribution of positively selected sites at independent genes

    Phylogenetic signal and functional categories in Proteobacteria genomes

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    BACKGROUND: A comprehensive evolutionary analysis of bacterial genomes implies to identify the hallmark of vertical and non-vertical signals and to discriminate them from the presence of mere phylogenetic noise. In this report we have addressed the impact of factors like the universal distribution of the genes, their essentiality or their functional role in the cell on the inference of vertical signal through phylogenomic methods. RESULTS: We have established that supermatrices derived from data sets composed mainly by genes suspected to be essential for bacterial cellular life perform better on the recovery of vertical signal than those composed by widely distributed genes. In addition, we show that the "Transcription" category of genes seems to harbor a better vertical signal than other functional categories. Moreover, the "Poorly characterized" category performs better than other categories related with metabolism or cellular processes. CONCLUSION: From these results we conclude that different data sets allow addressing different questions in phylogenomic analyses. The vertical signal seems to be more present in essential genes although these also include a significant degree of incongruence. From a functional perspective, as expected, informational genes perform better than operational ones but we have also shown the surprising behavior of poorly annotated genes, which points to their importance in the genome evolution of bacteria

    Unraveling the evolutionary history of the phosphoryl-transfer chain of the phosphoenolpyruvate:phosphotransferase system through phylogenetic analyses and genome context

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    <p>Abstract</p> <p>Background</p> <p>The phosphoenolpyruvate phosphotransferase system (PTS) plays a major role in sugar transport and in the regulation of essential physiological processes in many bacteria. The PTS couples solute transport to its phosphorylation at the expense of phosphoenolpyruvate (PEP) and it consists of general cytoplasmic phosphoryl transfer proteins and specific enzyme II complexes which catalyze the uptake and phosphorylation of solutes. Previous studies have suggested that the evolution of the constituents of the enzyme II complexes has been driven largely by horizontal gene transfer whereas vertical inheritance has been prevalent in the general phosphoryl transfer proteins in some bacterial groups. The aim of this work is to test this hypothesis by studying the evolution of the phosphoryl transfer proteins of the PTS.</p> <p>Results</p> <p>We have analyzed the evolutionary history of the PTS phosphoryl transfer chain (PTS-ptc) components in 222 complete genomes by combining phylogenetic methods and analysis of genomic context. Phylogenetic analyses alone were not conclusive for the deepest nodes but when complemented with analyses of genomic context and functional information, the main evolutionary trends of this system could be depicted.</p> <p>Conclusion</p> <p>The PTS-ptc evolved in bacteria after the divergence of early lineages such as <it>Aquificales</it>, <it>Thermotogales </it>and <it>Thermus/Deinococcus</it>. The subsequent evolutionary history of the PTS-ptc varied in different bacterial lineages: vertical inheritance and lineage-specific gene losses mainly explain the current situation in <it>Actinobacteria </it>and <it>Firmicutes </it>whereas horizontal gene transfer (HGT) also played a major role in <it>Proteobacteria</it>. Most remarkably, we have identified a HGT event from <it>Firmicutes </it>or <it>Fusobacteria </it>to the last common ancestor of the <it>Enterobacteriaceae</it>, <it>Pasteurellaceae</it>, <it>Shewanellaceae </it>and <it>Vibrionaceae</it>. This transfer led to extensive changes in the metabolic and regulatory networks of these bacteria including the development of a novel carbon catabolite repression system. Hence, this example illustrates that HGT can drive major physiological modifications in bacteria.</p
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