The rockefeller university

The study of foraging is central to a renewed interest in naturalistic behavior in neuroscience. Applying a foraging framework grounded in behavioral ecology has enabled probing of the mechanisms underlying cognitive processes such as decision-making within a more ecological context. Yet, foraging also involves myriad other aspects, including navigation of complex environments, sensory processing, and social interactions. Here, we first provide a brief overview of the neuroscience of foraging decisions, and then combine insights from behav-ioral ecology and neuroscience to review the role of these additional dimensions of foraging. We conclude by highlighting four opportunities for the continued de-velopment of foraging as an ethological framework for neuroscience: integrating normative and implementation-level models, developing new tools, enabling cross-species comparisons, and fostering interdisciplinary collaboration.

Likelihood-free inference for simulator-based statistical models has developed rapidly from its infancy to a useful tool for practitioners. However, models with more than a handful of parameters still generally remain a challenge for the Approximate Bayesian Computation (ABC) based inference. To advance the possibilities for performing likelihood-free inference in higher dimensional parameter spaces, we introduce an extension of the popular Bayesian optimisation based approach to approximate discrepancy functions in a probabilistic manner which lends itself to an efficient exploration of the parameter space. Our approach achieves computational scalability for higher dimensional parameter spaces by using separate acquisition functions, discrepancies, and associated summary statistics for distinct subsets of the parameters. The efficient additive acquisition structure is combined with exponentiated loss-likelihood to provide a misspecification-robust characterisation of posterior distributions for subsets of model parameters. The method successfully performs computationally efficient inference in a moderately sized parameter space and compares favourably to existing modularised ABC methods. We further illustrate the potential of this approach by fitting a bacterial transmission dynamics model to a real data set, which provides biologically coherent results on strain competition in a 30-dimensional parameter space.

Quaternary climatic fluctuations had a substantial influence on ecosystems, species distribution, phenology and genetic diversity, driving extinction, adaptation and demographic shifts during glacial periods and postglacial expansions. Integration of genomic data and environmental niche modelling can provide valuable insights on how organisms responded to past environmental variations and contribute to assessing vulnerability and resilience to ongoing climatic challenges. Among vertebrates, turtles are particularly vulnerable to habitat changes because of distinctive life history traits and the effect of environmental conditions on physiology and survival. We estimated contemporary heterozygosity (H) and effective population size (N e) using a high-quality chromosome-level reference genome we produced for the European pond turtle (Emys orbicularis) and reference genomes and whole genome sequence data available for 21 species of tortoises and freshwater turtles. We implemented environmental niche modelling (ENM) to estimate past habitat dynamics. We found recurrent cycles of population expansion and contraction over the last 10 Mya in all species, with a general pattern of decrease in N e correlated with temperature reduction after the last interglacial period. No correlation was found between habitat fluctuations during the Quaternary and past N e. Moreover, neither H nor mean N e was correlated to threat status as defined by IUCN Red List categories. Our results add to studies on other vertebrates showing the extent to which genetic parameters can aid the assessment of conservation status, and although genomic data may not always be consistent indicators of the level of threat, investigations of which genomic parameters could best represent essential biodiversity variables should be consistently supported.

Communication is crucial to social life, and in ants, it is mediated primarily through olfaction. Ants have more odorant receptor (OR) genes than any other group of insects, generated through tandem duplications that produce large genomic arrays of related genes. The mechanism by which olfactory sensory neurons (OSNs) produce a single functional OR from these arrays remains unclear. In ant OSNs, only mRNA from one OR in an array is exported into the cytoplasm, while upstream genes are silent and transcripts from downstream genes remain nuclear. Here, we show that readthrough transcription in the downstream direction generates non-translated transcripts. We also find that OR promoters are bidirectional, producing anti-sense long non-coding RNAs. We suspect that neither readthrough nor antisense transcription produces functional RNA but that bidirectional transcription alone is critical to suppressing the expression of all other OR genes in a tandem array. Finally, we present evidence that this regulatory architecture is conserved across ants and bees, suggesting that this mechanism for functionally monogenic OR expression is widespread in insects with expanded OR repertoires.

The cellular basis of COVID-19 severity in patients with deficiencies in type I IFN immunity remains unclear. In this study, we differentiated cardiomyocytes and macrophages from IFNAR1 competent (IFNAR1comp) and deficient (IFNAR1def) induced pluripotent stem cells (iPSCs), and analyzed virus replication and cytokine production after exposure to SARS-CoV-2. Cardiomyocytes expressed the SARS-CoV-2 receptor angiotensin-converting enzyme 2 (ACE2) and showed abundant SARS-CoV-2 replication, which was higher in IFNAR1def than IFNAR1comp cells. Treatment with exogenous IFN alpha mitigated infection in IFNAR1comp, but not in IFNAR1def cardiomyocytes. In contrast, macrophages did not express ACE2 and did not support SARS-CoV-2 replication, but produced pro-inflammatory cytokines upon virus exposure, which was impaired in IFNAR1def macrophages. In conclusion, type I IFNs decrease SARS-CoV-2 replication in human iPSC-derived cardiomyocytes, while they increase cytokine responses of macrophages.

Zika virus (ZIKV) is an emerging arbovirus, and its infection is often asymptomatic or mild; however, it can lead to severe neurological disorders. Currently, there are no approved treatments or vaccines for ZIKV, highlighting the urgent need to explore potential therapeutic options. In this study, we evaluated the antiviral activity of a novel synthetic peptide (GA-peptide) against ZIKV in vitro. The GA-peptide exhibited dose-dependent inhibition of the virus, affecting multiple stages of the ZIKV replication cycle. It demonstrated virucidal activity and effectively protected Vero cells from ZIKV infection. Additionally, the GA-peptide disrupted viral entry by targeting both the attachment and internalization phases, as well as post-entry stages of the infection. In silico analyses identified potential viral targets that interact with the GA-peptide. These findings underscore the GApeptide's promising potential as a therapeutic agent against ZIKV and its relevance in the development of new antiviral drugs.