Effects of 5-HT7 receptors on circadian rhythm of mice anesthetized with isoflurane

ABSTRACT

The role of the serotonin 7 receptor (5-HT₇ receptor) subtype in a number of domains has been widely recognized, but its role in the regulation of changes of the circadian rhythm after anesthesia is still unclear. We used intraperitoneal injection of 5-HT₇ receptor agonist LP-211 or antagonist SB-269970 in mice to influence the level of 5-HT₇ receptor protein in the SCN and to observe the role of this receptor on circadian rhythm changes after isoflurane anesthesia. Our results show the appropriate dose of SB-269970 significantly alleviated the circadian rhythm disorder induced by isoflurane anesthesia, while LP-211 significantly aggravated it after anesthesia, which is different from the phase shift that can be caused by the administration of LP-211 before anesthesia. These findings may indicate the 5-HT₇ receptor plays a complex role in the regulation of circadian rhythm after anesthesia. Our findings may provide some positive significance for alleviating circadian rhythm disorder in patients after anesthesia and ultimately promoting rapid postoperative recovery.     

Establishment of the biological control agent Hypocosmia pyrochroma for Dolichandra unguis-cati (Bignoniaceae) is limited by microclimate

Cat's claw creeper, Dolichandra unguis-cati (Bignoniaceae), a perennial woody vine native to tropical America, is a target for biological control in Australia and South Africa. The cat's claw creeper leaf-tying moth Hypocosmia pyrochroma (Lepidoptera: Pyralidae) from tropical South America was released as a biological control agent for cat's claw creeper in Australia from 2007 to 2010. A total of 2,277 adults, 837 pupae and 77,250 larvae were released at 40 sites in Queensland and New South Wales. Releases were made mostly in open fields (85%), and at limited sites (15%) in insect-proof cages erected over naturally occurring cat's claw creeper infestations in the field. Sampling was conducted annually in spring and autumn to monitor the establishment and dispersal of H. pyrochroma. Establishment of H. pyrochroma was first noticed in 2012 at three release sites and since then the number of established sites has increased to 80 in 2020. Establishment was evident on both ‘short-pod’ and ‘long-pod’ forms of cat's claw creeper and was more widespread in sites where releases were made within insect-proof field cages (50%) than in sites with open field releases (9%). The moth was active from late spring to late autumn with peak larval activity in late summer. To date, all field establishments have been in areas predicted by a CLIMEX model as climatically suitable but restricted mostly to riparian environment (93% of establishment), where the moth has continued to spread from 1.5 to 23 km from release sites. In contrast, there is the only limited establishment and spread in non-riparian corridors, highlighting the role of microclimate (riparian) as a limiting factor for establishment and spread. Future efforts will focus on redistribution of the agent to river/creek systems where the moth is currently not present.     

Molecular systematics,species limits,and diversification of the genus Dendrocolaptes (Aves: Furnariidae): Insights on biotic exchanges between dry and humid forest types in the Neotropics

The true diversity and interspecific limits in the Neotropical endemic avian genus Dendrocolaptes (Furnariidae) remain a highly controversial subject, with previous genus‐wide assessments, based mostly on morphological characters, producing poorly resolved phylogenies. The lack of well‐resolved, robust, and taxonomically densely sampled phylogenies for Dendrocolaptes prevents reliable inferences on the genus’ actual species diversity and evolutionary history. Here, we analyzed 2,741 base pairs of mitochondrial and nuclear genes from 43 specimens belonging to all species and the majority of subspecies described for Dendrocolaptes to evaluate species limits and reconstruct its diversification through time. Our phylogenies recovered a monophyletic Dendrocolaptes, with two main highly supported internal clades corresponding to the D. certhia and D. picumnus species complexes. Also, our analyses supported the monophyly of most Dendrocolaptes species recognized today, except D. picumnus, which was consistently recovered as paraphyletic with respect to D. hoffmannsi. A coalescent‐based test supported a total of 15 different lineages in Dendrocolaptes and indicated that the number of currently accepted species within the genus may be greatly underestimated. Particularly relevant, when combined with previous analyses based on plumage characters, comparative high levels of genetic differentiation and coalescent analyses support the recognition of D. picumnus transfasciatus as a full species that is already under threat. Ancestral area reconstructions suggest that diversification in Dendrocolaptes was centered in lowland Amazonia, with several independent dispersal events leading to differentiation into different adjacent dry and high elevation forest types throughout the Neotropics, mainly during the Middle and Late Pleistocene.     

Iris: Interactive all‐in‐one graphical validation of 3D protein model iterations

Iris validation is a Python package created to represent comprehensive per‐residue validation metrics for entire protein chains in a compact, readable and interactive view. These metrics can either be calculated by Iris, or by a third‐party program such as MolProbity. We show that those parts of a protein model requiring attention may generate ripples across the metrics on the diagram, immediately catching the modeler's attention. Iris can run as a standalone tool, or be plugged into existing structural biology software to display per‐chain model quality at a glance, with a particular emphasis on evaluating incremental changes resulting from the iterative nature of model building and refinement. Finally, the integration of Iris into the CCP4i2 graphical user interface is provided as a showcase of its pluggable design.     

Using Integrative Modeling Platform to compute,validate, and archive a model of a protein complex structure

Biology is advanced by producing structural models of biological systems, such as protein complexes. Some systems are recalcitrant to traditional structure determination methods. In such cases, it may still be possible to produce useful models by integrative structure determination that depends on simultaneous use of multiple types of data. An ensemble of models that are sufficiently consistent with the data is produced by a structural sampling method guided by a data‐dependent scoring function. The variation in the ensemble of models quantified the uncertainty of the structure, generally resulting from the uncertainty in the input information and actual structural heterogeneity in the samples used to produce the data. Here, we describe how to generate, assess, and interpret ensembles of integrative structural models using our open source Integrative Modeling Platform program ( https://integrativemodeling.org ).     

A penalized structural equation modeling method accounting for secondary phenotypes for variable selection on genetically regulated expression from PrediXcan for Alzheimer's disease

As the global burden of mental illness is estimated to become a severe issue in the near future, it demands the development of more effective treatments. Most psychiatric diseases are moderately to highly heritable and believed to involve many genes. Development of new treatment options demands more knowledge on the molecular basis of psychiatric diseases. Toward this end, we propose to develop new statistical methods with improved sensitivity and accuracy to identify disease‐related genes specialized for psychiatric diseases. The qualitative psychiatric diagnoses such as case control often suffer from high rates of misdiagnosis and oversimplify the disease phenotypes. Our proposed method utilizes endophenotypes, the quantitative traits hypothesized to underlie disease syndromes, to better characterize the heterogeneous phenotypes of psychiatric diseases. We employ the structural equation modeling using the liability‐index model to link multiple genetically regulated expressions from PrediXcan and the manifest variables including endophenotypes and case‐control status. The proposed method can be considered as a general method for multivariate regression, which is particularly helpful for psychiatric diseases. We derive penalized retrospective likelihood estimators to deal with the typical small sample size issue. Simulation results demonstrate the advantages of the proposed method and the real data analysis of Alzheimer's disease illustrates the practical utility of the techniques. Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative database.     

A DFT study of structure and stability of pleated and rippled cross‐β sheets with hydrophobic sidechains

The rippled cross‐β sheet, a topography, in which mirror‐image peptides are arranged with alternating chirality into a periodic two‐dimensional network, is burgeoning as a new design principle for materials and biomedical applications. Experiments by the Schneider, Nilsson, and Raskatov labs have independently shown diverse racemic mixtures of aggregation‐prone peptide of different sizes to favor the rippled over the pleated topography. Yet, systematic ab initio studies are lacking, and the field is yet to develop rules that would enable the design of new rippled cross‐β frameworks from first principles. Here, DFT calculations were performed on a set of model systems, designed to begin understanding the impact that bulky, hydrophobic sidechains have upon the formation of pleated and rippled cross‐β frameworks. It is hoped that this study will help stimulate the development of a predictive, general framework to enable rational design of rippled cross‐β sheets in the future.     

X-linked meiotic drive can boost population size and persistence

X-linked meiotic drivers cause X-bearing sperm to be produced in excess by male carriers, leading to female-biased sex ratios. Here, we find general conditions for the spread and fixation of X-linked alleles. Our conditions show that the spread of X-linked alleles depends on sex-specific selection and transmission rather than the time spent in each sex. Applying this logic to meiotic drive, we show that polymorphism is heavily dependent on sperm competition induced both by female and male mating behavior and the degree of compensation to gamete loss in the ejaculate size of drive males. We extend these evolutionary models to investigate the demographic consequences of biased sex ratios. Our results suggest driving X-alleles that invade and reach polymorphism (or fix and do not bias segregation excessively) will boost population size and persistence time by increasing population productivity, demonstrating the potential for selfish genetic elements to move sex ratios closer to the population-level optimum. However, when the spread of drive causes strong sex-ratio bias, it can lead to populations with so few males that females remain unmated, cannot produce offspring, and go extinct. This outcome is exacerbated when the male mating rate is low. We suggest that researchers should consider the potential for ecologically beneficial side effects of selfish genetic elements, especially in light of proposals to use meiotic drive for biological control.