SARS-CoV-2 Angiotensin Converting Enzyme 2 (ACE2) Receptor Expression and Its Effects on COVID-19 Epidemiology in Children

Children account for less than 2% of COVID-19 cases around the globe, and children experience relatively minor symptoms compared to the adult population. Various theories have been proposed to explain this phenomenon. One such theory is the involvement of angiotensin converting enzyme 2 (ACE2) in the pathogenesis of COVID-19. Previous studies have found a direct relationship between the abundance of pulmonary ACE2 receptors and the age of patients. Since Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) binds to the ACE2 receptor to infect a patient, it is hypothesized that the low abundance of pulmonary ACE2 receptors in children relative to adults accounts for both the mild symptoms experienced as well as the difference in the number of identified cases

2-Chloro-6,6-dimethyl-5,6-dihydro­indazolo[2,3-c]quinazoline

Two independent but virtually identical mol­ecules comprise the asymmetric unit of the title compound, C16H14ClN3. The mol­ecules have a slightly curved shape owing to puckering in the six-membered C4N2 ring; the respective dihedral angles formed between the benzene rings are 12.64 (7) and 11.72 (7)°. In the crystal, layers sustained by a combination of N—H⋯N hydrogen bonding as well as C—H⋯N and C—H⋯π contacts are formed; these stack along [011] and are connected by further C—H⋯π contacts

N-(4-Chloro­phen­yl)-1,1,1-trifluoro-N-(trifluoro­methyl­sulfon­yl)methane­sulfonamide

The title mol­ecule, also called 4-chloro-N,N-bis­(trifluoro­methane­sulfon­yl)aniline, C8H4ClF6NO4S2, has non-crystallographic twofold symmetry with the pseudo-axis aligned along the Cl—C⋯C—N backbone of the mol­ecule: the SO2CF3 residues lie to either side of the benzene ring. In the crystal, the presence of C—H⋯O contacts lead to the formation of a sequence of 12-membered {⋯HC2NSO}2 synthons within a supra­molecular chain aligned along [101]

Genomic Rearrangements in Arabidopsis Considered as Quantitative Traits.

To understand the population genetics of structural variants and their effects on phenotypes, we developed an approach to mapping structural variants that segregate in a population sequenced at low coverage. We avoid calling structural variants directly. Instead, the evidence for a potential structural variant at a locus is indicated by variation in the counts of short-reads that map anomalously to that locus. These structural variant traits are treated as quantitative traits and mapped genetically, analogously to a gene expression study. Association between a structural variant trait at one locus, and genotypes at a distant locus indicate the origin and target of a transposition. Using ultra-low-coverage (0.3×) population sequence data from 488 recombinant inbred Arabidopsis thaliana genomes, we identified 6502 segregating structural variants. Remarkably, 25% of these were transpositions. While many structural variants cannot be delineated precisely, we validated 83% of 44 predicted transposition breakpoints by polymerase chain reaction. We show that specific structural variants may be causative for quantitative trait loci for germination and resistance to infection by the fungus Albugo laibachii, isolate Nc14. Further we show that the phenotypic heritability attributable to read-mapping anomalies differs from, and, in the case of time to germination and bolting, exceeds that due to standard genetic variation. Genes within structural variants are also more likely to be silenced or dysregulated. This approach complements the prevalent strategy of structural variant discovery in fewer individuals sequenced at high coverage. It is generally applicable to large populations sequenced at low-coverage, and is particularly suited to mapping transpositions

Presence-absence variation in <em>A.</em> <em>thaliana</em> is primarily associated with genomic signatures consistent with relaxed selective constraints

The sequencing of multiple genomes of the same plant species has revealed polymorphic gene and exon loss. Genes associated with disease resistance are overrepresented among those showing structural variations, suggesting an adaptive role for gene and exon presence–absence variation (PAV). To shed light on the possible functional relevance of polymorphic coding region loss and the mechanisms driving this process, we characterized genes that have lost entire exons or their whole coding regions in 17 fully sequenced Arabidopsis thaliana accessions. We found that although a significant enrichment in genes associated with certain functional categories is observed, PAV events are largely restricted to genes with signatures of reduced essentiality: PAV genes tend to be newer additions to the genome, tissue specific, and lowly expressed. In addition, PAV genes are located in regions of lower gene density and higher transposable element density. Partial coding region PAV events were associated with only a marginal reduction in gene expression level in the affected accession and occurred in genes with higher levels of alternative splicing in the Col-0 accession. Together, these results suggest that although adaptive scenarios cannot be ruled out, PAV events can be explained without invoking them

Tracing Personalized Health Curves during Infections

By concentrating on the relationship between health and microbe number over the course of infections, most pathogenic and mutualistic infections can be summarized by a small alphabet of curves, which has implications not only for basic research but for how we might treat patients

Antecedents to value diminution: A dyadic perspective

© 2016, © The Author(s) 2016. The purpose of this article is to identify the antecedents of diminished value in business-to-business exchange. There is only a limited amount of research on value destruction in the context of service-dominant (S-D) logic and, to the best of our knowledge, no dyadic studies. From a business perspective, awareness of factors that have the potential to impede value creation will enable relationship partners to increase mutual value realization. The article examines the accuracy of the term ‘value co-destruction’ as a blanket description for interaction that results in value reduction, and proposes that, in many instances, ‘value diminution’ may be more appropriate. The study adopts an exploratory, qualitative approach. One-to-one interviews are conducted with clients and their creative agencies. The results suggest that diminished value outcomes are caused by resource deficiencies and resource misuse by both relational partners, separately and jointly. We propose a model of five higher-order antecedents of value diminution: absence of trust, inadequate communication, power/dependence imbalance, inadequate coordination and inadequate human capital

The evolution of transmission mode

This article reviews research on the evolutionary mechanisms leading to different transmission modes. Such modes are often under genetic control of the host or the pathogen, and often in conflict with each other via trade-offs. Transmission modes may vary among pathogen strains and among host populations. Evolutionary changes in transmission mode have been inferred through experimental and phylogenetic studies, including changes in transmission associated with host-shifts and with evolution of the unusually complex life cycles of many parasites. Understanding the forces that determine the evolution of particular transmission modes presents a fascinating medley of problems for which there is a lack of good data and often a lack of conceptual understanding or appropriate methodologies. Our best information comes from studies that have been focused on the vertical vs. horizontal transmission dichotomy. With other kinds of transitions, theoretical approaches combining epidemiology and population genetics are providing guidelines for determining when and how rapidly new transmission modes may evolve, but these are still in need of empirical investigation and application to particular cases. Obtaining such knowledge is a matter of urgency in relation to extant disease threats

Bioinformatics tools and database resources for systems genetics analysis in mice—a short review and an evaluation of future needs

During a meeting of the SYSGENET working group ‘Bioinformatics’, currently available software tools and databases for systems genetics in mice were reviewed and the needs for future developments discussed. The group evaluated interoperability and performed initial feasibility studies. To aid future compatibility of software and exchange of already developed software modules, a strong recommendation was made by the group to integrate HAPPY and R/qtl analysis toolboxes, GeneNetwork and XGAP database platforms, and TIQS and xQTL processing platforms. R should be used as the principal computer language for QTL data analysis in all platforms and a ‘cloud’ should be used for software dissemination to the community. Furthermore, the working group recommended that all data models and software source code should be made visible in public repositories to allow a coordinated effort on the use of common data structures and file formats