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Biology subjects

Xu, Y.-F.

Publications and source records attributed to Xu, Y.-F..

6 recordsLinked to original sources

Stepwise Ligand Capture Primes PKR for Activation and RNA Discrimination

Protein Kinase R (PKR) triggers the innate immune response upon detecting double-stranded RNAs (dsRNAs). Its kinase activity is controlled by two dsRNA-binding domains (dsRBDs), yet how these dsRBDs operate during RNA ligand recognition and downstream signaling remains unresolved. Here, we uncover an unexpected interplay between the dsRBDs that orchestrates a two-step ligand sampling, ensuring accurate and efficient PKR activation. dsRBD1 surveys all RNA duplexes through one-dimensional diffusion but dissociates within milliseconds to minimize background signaling, while dsRBD2-RNA binding plays a key role in fostering kinase-kinase interactions. Upon encountering foreign dsRNAs, dsRBD2 arrests the diffusive dsRBD1, thereby establishing a scaffold essential for kinase dimerization and phosphorylation. By contrast, prevalent bulges and large internal loops in self-RNA duplexes obstruct dsRBD2 from capturing dsRBD1, creating a steeply elevated energy landscape that enables PKR to discriminate foreign RNAs from abundant self-RNAs, thus evolving a delicate strategy to achieve both high selectivity and robust signaling.

biophysics↗

Multi-omics integration uncovers host-microbiota crosstalk underlying sexual differentiation in the shortfin eel Anguilla bicolor pacifica

The global decline in anguillid eel populations has intensified interest in understanding their biology for conservation and aquaculture. While host-gut microbiota interactions are well-characterized in homeotherms, these relationships remain poorly understood in poikilotherms during sexual differentiation. We examined gut microbiota dynamics across developmental stages in the shortfin eel Anguilla bicolor pacifica, which exhibits early sexual differentiation and a relatively short life cycle. Glass eels were cultivated in controlled freshwater conditions for three years, with sampling at key stages: glass eel, elver, sex-undetermined eel, and sex-determined eel. Full-length 16S rRNA gene sequencing revealed significant compositional shifts during development, with higher bacterial richness in adults versus younger eels. Early stages were dominated by Pseudomonadota, while sex-determined adults showed increased Deinococcota abundance. Network analysis identified Deinococcus, Sphingomonas, and Variovorax as key genera in sex-determined eels, with positive correlations between anti-Mullerian hormone gene expression and these taxa. We isolated 66 gut bacterial strains capable of metabolizing sex hormones under microaerobic conditions. These isolates, representing 22 genera across four phyla, demonstrated diverse metabolic capabilities from partial oxidation to complete steroid mineralization. Multiple strains achieved complete estradiol degradation as single isolates--a rare metabolic capability of environmental microorganisms. Comparative genomic analysis revealed widespread steroid-metabolizing genes, with Deinococcus species showing previously unreported hormone degradation capabilities. Our multi-omics analysis demonstrates that gut microbiota composition and function are intimately linked to eel sexual development, suggesting bidirectional host-microbe interactions influencing reproductive physiology. These findings advance understanding of host-microbiota interactions in aquatic vertebrates and provide implications for eel aquaculture and conservation.

microbiology↗

An intein-split transactivator for intersectional neural imaging and optogenetic manipulation

The complexity of brain circuitry is manifested by numerous cell types based on genetic marker, location and neural connectivity. Cell-type specific recording and manipulation is essential to disentangle causal neural mechanisms in physiology and behavior; however, many current approaches are largely limited by number of intersectional features, incompatibility of common effectors and insufficient gene expression. To tackle these limitations, we devise an intein-based intersectional synthesis of transactivator (IBIST) to selectively control gene expression of common effectors in specific cell types defined by a combination of multiple features. We validate the specificity and sufficiency of IBIST to control common effectors including fluorophores, optogenetic opsins and Ca2+ indicators in various intersectional conditions in vivo. Using IBIST-based Ca2+ imaging, we show that the IBIST can intersect up to five features, and that hippocampal cells tune differently to distinct emotional valences depending on the pattern of projection targets. Collectively, the IBIST multiplexes the capability to intersect cell-type features and is compatible with common effectors to effectively control gene expression, monitor and manipulate neural activities.

neuroscience↗

Autonomous sensing the insulin peptide by an olfactory G protein coupled receptor modulates glucose metabolism

Along with functionally intact insulin, diabetes-associated insulin peptides are secreted by {beta} cells(1-3). By screening the expression and functional characterization of olfactory receptors in pancreatic islets, we identified Olfr109 as the receptor to detect insulin peptides. Engagement of one insulin peptide, insB:9-23, with Olfr109 diminished insulin secretion through Gi-cAMP signalling and promoted macrophage proliferation. Remarkably, Olfr109 deficiency alleviated intra-islet inflammatory responses and improved glucose homeostasis in Akita- and HFD-fed mice. We further determined the binding mode between the insB:9-23 and Olfr109. A pepducin-based Olfr109 antagonist improved glucose homeostasis in diabetic and obese mouse models. Collectively, we found that pancreatic {beta} cells use Olfr109 to autonomously detect self-secreted insulin peptides and this detection arrests insulin secretion and crosstalk with macrophages to increase intra-islet inflammation.

physiology↗

In vitro pancreatic islet cluster expansion facilitated by hormones and chemicals

Tissue regeneration, such as pancreatic islet tissue propagation in vitro, could serve as a promising strategy for diabetes therapy and personalized drug testing. However, such a protocol has not been realized yet. Propagation could be divided by two steps, which are: (1) expansion in vitro and (2) repeat passaging. Even the in vitro expansion of the islet has not been achieved to date. Here, we describe a method to enable the expansion of islet clusters isolated from pregnant mice or wild-type rats by employing a combination of specific regeneration factors and chemical compounds in vitro. The expanded islet clusters expressed insulin, glucagon and somatostatin, which are markers corresponding to pancreatic {beta} cells, cells and {delta} cells, respectively. These different types of cells grouped together, were spatially organized and functioned similarly to primary islets. Further mechanistic analysis revealed that forskolin in our recipe contributed to renewal and regeneration, whereas exendin4 was essential for preserving islet cell identity. Our results provide a novel method for the in vitro expansion of islet clusters, which is an important step forward in developing future protocols and medium used for islet tissue propagation in vitro. Such method is important for future regenerative diabetes therapies and personalized medicine using large amounts of pancreatic islets derived from the same person.

cell biology↗

The complete mitochondrial genome of the Golden Birdwing butterfly Troides aeacus: insights into phylogeny and divergence times of the superfamily Papilionoidea

BackgroundThe Lepidoptera is one of the largest insect orders. Previous studies on the evolution of Lepidoptera did not confidently place butterflies, and many relationships among superfamilies in the megadiverse clade Ditrysia remain largely uncertain. Here, we generated a molecular dataset with 78 species of lepidopterian insects, including a new complete mitochondrial genome (mitogenome) sequences of the Golden Birdwing Butterfly, Troides aeacus, which was listed in appendix II of CITES. MethodsBased on the concatenated nucleotide sequences of 13 protein-coding genes, we constructed phylogenetic trees with Bayesian Inference (BI) and Maximum Likelihood (ML) methods, and calculated the divergence times of Lepidoptera. ResultsMonophyly of the Papilionoidea including skippers (Hesperiidae) is strongly supported by a high bootstrap value. Butterflies were placed sister to the remaining obtectomeran Lepidoptera, and the latter was grouped with high bootstrap supports. Additionally, Papilionidae probably diverged from the group (Hesperiidae + (Nymphalidae + Pieridae)) at 102.65 Mya, the Early Cretaceous. T. aeacus and the Golden kaiserihind Teinopalpus aureus diverged in the Cretaceous of 85.32 Mya. The age of Papilionoidea indicates that the primary break up of Gondwana may have an effect on the current distributions of butterflies.

evolutionary biology↗