Optimal resting-growth strategies of microbial populations in fluctuating environments

Bacteria spend most of their lifetime in non-growing states which allow them to survive extended periods of stress and starvation. When environments improve, they must quickly resume growth to maximize their share of limited nutrients. Cells with higher stress resistance often survive longer stress durations at the cost of needing more time to resume growth, a strong disadvantage in competitive environments. Here we analyze the basis of optimal strategies that microorganisms can use to cope with this tradeoff. We explicitly show that the prototypical inverse relation between stress resistance and growth rate can explain much of the different types of behavior observed in stressed microbial populations. Using analytical mathematical methods, we determine the environmental parameters that decide whether cells should remain vegetative upon stress exposure, downregulate their metabolism to an intermediate optimum level, or become dormant. We find that cell-cell variability, or intercellular noise, is consistently beneficial in the presence of extreme environmental fluctuations, and that it provides an efficient population-level mechanism for adaption in a deteriorating environment. Our results reveal key novel aspects of responsive phenotype switching and its role as an adaptive strategy in changing environments

Statistical Model Checking for Stochastic Hybrid Systems

This paper presents novel extensions and applications of the UPPAAL-SMC model checker. The extensions allow for statistical model checking of stochastic hybrid systems. We show how our race-based stochastic semantics extends to networks of hybrid systems, and indicate the integration technique applied for implementing this semantics in the UPPAAL-SMC simulation engine. We report on two applications of the resulting tool-set coming from systems biology and energy aware buildings.Comment: In Proceedings HSB 2012, arXiv:1208.315

Estudios sefardíes dedicados a la memoria de Iacob M. Hassán (ź"l)

Elena Romero y Aitor García Moreno son los editores de este volumen.[EN] This work aims to honour Iacob. M. Hassán, who set up, promoted, and for decades maintained, the CSIC's School of Sephardic studies (Escuela de Estudios Sefardíes) in Madrid. It comprises a collection of articles on the Jews in the medieval Spanish kingdoms, along with other articles on a wide variety of language issues, and the study and publication of literary works produced or handed down by the Sephardim of the Balkans and Morocco between the sixteenth and the twentieth centuries, such as biblical commentaries and lexicons, liturgical poetry, rabbinic literature, biographies, folk tales, popular folk songs, ballads, and modern songs ... These studies also include an article by Iacob. M. Hassán published here for the first time in the form of a facsimile of his original typed manuscript. The work is preceded by a foreword and an unpublished text of one of his lectures, which contains a wealth of autobiographical information, as well as his views on the vicissitudes of Sephardic Studies as an academic discipline.[ES] Con esta obra se quiere honrar al creador, impulsor y mantenedor durante decenios de la llamada Escuela de Estudios Sefardíes del CSIC (Madrid). Se recogen en ella artículos relativos a los judíos en los reinos hispanos medievales, y otros dedicados a muy variados temas de lengua, y al estudio y edición de obras literarias producidas o transmitidas por los sefardíes de los Balcanes y de Marruecos entre el siglo XVI y el XX: comentarios y léxicos bíblicos, poesía litúrgica, literatura rabínica, biografías, cuentos tradicionales, coplas, romances, cancionero moderno, etc., etc. Entre los estudios se incluye además, como primicia, un artículo mecanografiado de Iacob. M. Hassán que se publica por primera vez en edición facsímil. La obra va precedida de un Prólogo y del texto inédito de una de sus conferencias, en la que aporta numerosos datos autobiográficos, así como su visión sobre los avatares de los Estudios Sefardíes como disciplina académica

Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

Background Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. Methods We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. Results Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. Conclusions Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.Peer reviewe