Abstract Production of transgenic plants with desired agronomic and horticultural traits has gained great importance to fulfill demands of the growing population. Genetic transformation is also a fundamental step to study basics of plant sciences. Different transformation protocols have been developed and used which are reliable and efficient. These protocols used antibiotic or herbicide resistance genes incorporated along with gene of interest to identify transformed plants from non-transformed ones. These marker genes may pose a threat to human and environment. Use of visual markers enables direct and easier observation of transformed plants with more precision. In current study a gene cassette with `pigment production hydroxylase (PPH) gene under fiber specific promoter (GhSCFP) and downstream Nos-terminator was designed. After checking the structural and functional efficiency of codon optimized gene using bioinformatics tools, the cassette was sent for chemical synthesis from commercial source. The pigment gene cassette (PPH\_CEMB), cloned in pCAMBIA-1301, was transformed into Agrobacterium through electroporation. Agrobacterium-mediated floral dip method was used to transform Camelina sativa inflorescence. After seed setting a total of 600 seed were observed for change in color and out of these, 19 seeds developed a reddish-brown coloration, while the remaining 581 seeds remained yellow. The transformation efficiency calculated on basis of color change was 1.0%. PCR analysis of leaves obtained after sowing reddish seeds confirmed the transformation of pigment production gene, while no PCR amplification was observed in leaves of plants from wild type seeds. From the results it is evident that Agrobacterium-mediated transformation of C. sativa inflorescence is very efficient and environment friendly technique not only for detection of transformed plants but also to study basic cellular processes.
Abstract Production of transgenic plants with desired agronomic and horticultural traits has gained great importance to fulfill demands of the growing population. Genetic transformation is also a fundamental step to study basics of plant sciences. Different transformation protocols have been developed and used which are reliable and efficient. These protocols used antibiotic or herbicide resistance genes incorporated along with gene of interest to identify transformed plants from non-transformed ones. These marker genes may pose a threat to human and environment. Use of visual markers enables direct and easier observation of transformed plants with more precision. In current study a gene cassette with `pigment production hydroxylase (PPH) gene under fiber specific promoter (GhSCFP) and downstream Nos-terminator was designed. After checking the structural and functional efficiency of codon optimized gene using bioinformatics tools, the cassette was sent for chemical synthesis from commercial source. The pigment gene cassette (PPH\_CEMB), cloned in pCAMBIA-1301, was transformed into Agrobacterium through electroporation. Agrobacterium-mediated floral dip method was used to transform Camelina sativa inflorescence. After seed setting a total of 600 seed were observed for change in color and out of these, 19 seeds developed a reddish-brown coloration, while the remaining 581 seeds remained yellow. The transformation efficiency calculated on basis of color change was 1.0%. PCR analysis of leaves obtained after sowing reddish seeds confirmed the transformation of pigment production gene, while no PCR amplification was observed in leaves of plants from wild type seeds. From the results it is evident that Agrobacterium-mediated transformation of C. sativa inflorescence is very efficient and environment friendly technique not only for detection of transformed plants but also to study basic cellular processes.
Adjustable wettability is important for various fields, such as droplet manipulation and controlled surface adhesion. Herein, we present high-resolution 3D stretchable structures with tunable superhydrophobicity, fabricated by a stereolithography-based printing process. The printing compositions comprise nonfluorinated monomers based on silicone urethane with dispersed hydrophobic silica particles. 3D lotus-like structures were designed and printed, having microsize pillars located at the external surfaces, with controlled dimensions and interspacing. The design of the pillars and the presence of the hydrophobic silica particles resulted in superhydrophobicity due to the surface structuring and entrapment of air between the pillars. The best structures display a contact angle of 153.3° ± 1.3° and rolling angle of 3.3° ± 0.5°, and their self-cleaning, water repellency, and buoyancy are demonstrated. The durability of the structure over time, water immersion, and heat exposure were tested, confirming the preservation of superhydrophobicity under these conditions. Upon stretching the surfaces, the interpillar distances change, thus enabling tuning the wetting properties and achieving good control over the contact and rolling angles, while the stretching-induced superhydrophobicity is reversible. This approach can expand the potential applications of superhydrophobic soft materials to fields requiring control over the wetting properties, including soft robotics, biomedical devices, and stretchable electronics.
Synapses are a key component of neural circuits, facilitating rapid and specific signalling between neurons. Synaptic engineering — the synthetic insertion of new synaptic connections into in vivo neural circuits — is an emerging approach for neural circuit interrogation. This approach is especially powerful for establishing causality in neural circuit structure–function relationships, for emulating synaptic plasticity and for exploring novel patterns of circuit connectivity. Contrary to other approaches for neural circuit manipulation, synaptic engineering targets specific connections between neurons and functions autonomously with no user-controlled external activation. Synaptic engineering has been successfully implemented in several systems and in different forms, including electrical synapses constructed from ectopically expressed connexin gap junction proteins, synthetic optical synapses composed of presynaptic photon-emitting luciferase coupled with postsynaptic light-gated channels, and artificial neuropeptide signalling pathways. This Perspective describes these different methods and how they have been applied, and examines how the field may advance. Synaptic engineering involves the synthetic insertion of new synapses between neurons in vivo. In this Perspective, Rabinowitch, Colón-Ramos and Krieg explore this emerging approach for studying neural circuits, describing the different methods that have been used and how they have been implemented.
Piezoelectric materials have found widespread use in miniaturized sensors and actuators due to their ability of mutual conversion of mechanical and electric energy. However, current fabrication techniques for these materials are limited to either bulky structures or thin films, restricting the potential that could arise from developing devices with more intricate geometries. Here, we have developed particle-free piezoelectric ink and successfully employed in 3D printing complex barium titanate (BTO) devices using Digital Light Processing technology. The sol–gel process overcomes the viscosity and light scattering issues associated with the slurry traditionally used in 3D printing of piezoelectric ceramic materials. Printed BTO exhibits a remarkable piezoelectric coefficient of 50 pm/V and is utilized to create 3D micrometric structures for applications as both active devices, such as actuators, and passive devices, including displacement sensors and energy harvesters. Furthermore, the flexibility in device fabrication enabled us to 3D print metamaterial piezoelectric structures, designed to concentrate mechanical stress, thereby enhancing the electrical response compared to conventional bulk structures. This research not only advances the field by overcoming fabrication challenges but also opens avenues for creating innovative devices. The design freedom afforded by additive manufacturing technology further underscores the potential for groundbreaking developments in this domain.
MnO2-based zinc-ion batteries have emerged as a promising candidate for next-generation energy storage systems. Despite extensive research on MnO2 electrodes, the charging mechanism in mildly acidic electrolytes remains debated. Most studies have focused on α-MnO2, and this study aims to shed light on the identity of the charge carrier in β-MnO2 and the role of the Mn2+ cations. By employing in situ EQCM-D measurements, along with ssNMR, XRD, TEM, and in situ pH monitoring, we demonstrated that the charging mechanism is primarily governed by proton de/intercalation. Compared to α-MnO2, with its larger 2 × 2 tunnels that accommodate hydronium ions, the β-phase has smaller 1 × 1 tunnels, permitting only the insertion of bare protons. During cycling, we observed the formation of new phases on β-MnO2 originating from the repetitive electrodeposition/dissolution of Mn2+. In addition, these phases can reversibly host hydronium ions, resulting in a mixed charging mechanism that involves the insertion of both H3O+ and H+.
Monocytes are a key component of the innate immune system. They undergo intricate developmental processes within the bone marrow, leading to diverse monocyte subsets in the circulation. In a state of healthy homeostasis, monocytes are continuously released into the bloodstream, destined to repopulate specific tissue-resident macrophage pools where they fulfil tissue-specific functions. However, under pathological conditions monocytes adopt various phenotypes to resolve inflammation and return to a healthy physiological state. This review explores the nuanced developmental pathways and functional roles that monocytes perform, shedding light on their significance in both physiological and pathological contexts.
The nature of abstract reasoning is a matter of debate. Modern artificial neural network (ANN) models, like large language models, demonstrate impressive success when tested on abstract reasoning problems. However, it has been argued that their success reflects some form of memorization of similar problems (data contamination) rather than a general-purpose abstract reasoning capability. This concern is supported by evidence of brittleness, and the requirement of extensive training. In our study, we explored whether abstract reasoning can be achieved using the toolbox of ANNs, without prior training. Specifically, we studied an ANN model in which the weights of a naive network are optimized during the solution of the problem, using the problem data itself, rather than any prior knowledge. We tested this modeling approach on visual reasoning problems and found that it performs relatively well. Crucially, this success does not rely on memorization of similar problems. We further suggest an explanation of how it works. Finally, as problem solving is performed by changing the ANN weights, we explored the connection between problem solving and the accumulation of knowledge in the ANNs.
The Brook rearrangement is a valuable synthetic tool that facilitates the controlled construction of complex molecules. Conventionally, it generates carbanion intermediates utilized in subsequent functionalization reactions. In this Review, we will explore recent advancements in the Brook rearrangement that extend beyond the traditional functionalization reactions. Specifically, we will highlight its involvement in unusual bonds cleavage, annulation reactions, and dearomatization efforts. The novelty of this rearrangement is underscored by showcasing its most recent applications.
Impulse control is a critical aspect of cognitive functioning. Intuitively, whether an action is executed prematurely depends on its associated reward, yet the link between value and impulsivity remains poorly understood. Three frameworks for impulsivity offer contrasting views: impulsive behavior may be valuable because it is associated with hidden internal reward (e.g., reduction of mental effort). Alternatively, it can emerge from exploration, which is disadvantageous in the short term but can yield long-term benefits. Finally, impulsivity may reflect Pavlovian bias, an inherent tendency that occurs even when its outcome is negative.
Methods
To test these hypotheses, we trained 17 male mice to withhold licking while anticipating variable rewards. We then measured and optogenetically manipulated dopamine release in the ventral striatum.
Results
We found that higher reward magnitudes correlated with increased impulsivity. This behavior was well explained by a Pavlovian bias model. Furthermore, we observed negative dopamine signals during premature licking, suggesting that in this task, impulsivity is not merely an unsuccessful attempt at obtaining a reward. Rather, it is a failure to overcome the urge to act prematurely despite knowledge of the negative consequences of such impulsive actions.
Conclusions
Our findings underscore the integral role value plays in regulating impulsivity and suggest that the dopaminergic system influences impulsivity through the mediation of value learning.
Traditional printing compositions for stereolithography (SLA), a vat photopolymerization technology, rely on light-sensitive photoinitiators (PIs) to initiate cross-linking reactions. Here, we propose a new approach for printing in which the polymerisation occurs locally with carbon nanotubes (CNTs), which function as photothermal converters combined with low-cost thermal initiators (TIs). The irradiation is performed at near-infrared (NIR), which enables deep light penetration, and polymerisation in black compositions, thus increasing the printing throughput. We demonstrate the control over polymerisation kinetics, printing resolution and cure depth, achieving very large printable layer thickness. The CNT photoconvertors can be used in both nonaqueous and aqueous systems, while the latter addresses the limited availability of water-soluble PIs for printing in water. The CNT enables dual use, initiating polymerisation and printing composite materials. This approach presents an advancement in SLA-based technologies, avoiding the use of conventional PIs and thus broadening the scope of 3D printing applications.
This paper delves into the semantics of the reciprocal construction recognized in the literature as "verbal" or "lexical" reciprocals. A common assumption is that predicates of this construction inherently encode a symmetric meaning, often marked morphologically in many languages. This paper advocates for a crucial distinction between two types of predicates: rec-predicates (e.g., the Hebrew verb hitnašek 'kiss') - a class of predicates that do not inherently denote symmetry but carry an underspecified meaning, so that in specific defined contexts, they can induce a symmetric reading. In contrast, sym-predicates (e.g., the Hebrew attribute zehe 'be identical') - this class of predicates inherently encodes symmetric relations. Drawing upon Winter’s (2002) typology of verbs, it is posited that rec-predicates are dyadic, taking two atoms as their arguments, while sym-predicates are monadic, with a single argument denoting a set. The analysis in this paper adopts Bar-Asher Siegal’s (2020) methodology for identifying strategies expressing reciprocity and is substantiated with a survey of the various syntactic structures in which the relevant predicates manifest, along with their diverse interpretations. The paper critically examines previous analyses of these predicates, scrutinizing both empirical and theoretical challenges encountered by these analyses. With a specific focus on verbal strategies for expressing reciprocity in Hebrew, the study, informed by the shared characteristics identified in previous research, suggests that the conclusions drawn for Hebrew may be applicable to other languages as well.
