Shanxi Normal University

Histone demethylation mediated by Jumonji C (JmjC) domain-containing proteins is a pivotal epigenetic mechanism governing plant development and stress adaptation. However, a comprehensive characterization of this family in foxtail millet (Setaria italica) and its wild progenitor, green foxtail (Setaria viridis), remains lacking. In this study, we performed a genome-wide identification of 24 SiJMJ and 23 SvJMJ genes, classifying them into five conserved subfamilies. Comparative genomics, promoter cis-element analysis, transcription factor binding site prediction, and expression profiling under various abiotic stresses were conducted to characterize their evolutionary and functional divergence. Comparative genomics revealed extensive collinearity and structural conservation between the two species, yet significant divergence in promoter cis-elements and transcription factor binding sites suggested potential regulatory remodeling during domestication. Expression profiling indicated distinct tissue-specific patterns, particularly in apical meristems and germination. Under abiotic stresses, SiJMJ17 was significantly upregulated under saline-alkali and cold stresses, whereas SiJMJ1 exhibited specific upregulation under waterlogging and herbicide treatments. These findings elucidate the evolutionary history of the Setaria JMJ family and highlight candidate demethylases for enhancing stress resilience in C4 cereal crops through epigenetic engineering.

ABSTRACT Rising carbon emissions from tourism’s rapid growth have placed its environmental sustainability under mounting scrutiny, underscoring the urgency of improving tourism carbon productivity (TCP). Meanwhile, the digital economy (DE) has increasingly emerged as a transformative driver of sustainable tourism. This study constructs a model to measure TCP and, using Chinese city-level data with econometric methods, analyzes the impact of DE on TCP. Results show that DE significantly enhances TCP, with stronger effects in eastern regions and excellent tourism cities. Mechanism analysis indicates that DE improves TCP mainly by stimulating green technological innovation and alleviating resource misallocation. Spatial econometric analysis further identifies positive spillover effects of DE on neighboring cities’ TCP. These findings reveal the impact and spatial spillover pathways of DE on TCP, extend the theoretical framework of how DE affects tourism’s low-carbon development, and provide valuable reference for collaborative low-carbon governance in the tourism industry in the digitalization context.

The sustainable development of deep industry-university-research integration has emerged as a strategic imperative within the global innovation ecosystem landscape. Existing studies often treat policy, market, and social capital as isolated factors, overlooking their configurational interplay and lacking an explanation of the sustainable development of deep industry-university-research integration in China’s unique institutional setting. This study integrates configuration theory and innovation ecosystem theory and employs fsQCA to examine 10 representative industry-university-research collaborative innovation cases in China. The findings reveal: A distinct “embedded authoritarian synergy” governance architecture characterizes China’s deep industry-university-research integration, where state-led strategic directives are dynamically coordinated with market-based contractual mechanisms and socially embedded relational networks. Sustainability is achieved through three equifinal configurational pathways: state-led mission-driven, policy-market adaptive, and policy-relational contingent. Each pathway entails specific institutional tensions, such as decoupling between policy design and implementation, weakening endogenous drivers, or erosion of social capital. Theoretically, this study advances innovation ecosystem scholarship by proposing a configurational framework and the “embedded authoritarian synergy” model to explain how state, market, and societal logics interact in a hybrid institutional context. Practically, it offers policymakers a diagnostic tool for designing differentiated governance strategies tailored to regional institutional endowments, thereby guiding industry-university-research collaboration toward economically transformative, socially inclusive, and environmentally sustainable development goals.

The development of digital technology has significantly transformed music consumption and marketing strategies in the creative industry. The shift from physical media to digital platforms, especially short-form video-based social media like TikTok, has created a new ecosystem that emphasizes interactivity, community participation, and organic music distribution. TikTok allows users to incorporate song snippets into creative content, positioning music as both entertainment and a symbol of digital identity. This shift reveals that music popularity is now primarily driven by recommendation algorithms and user-generated content rather than traditional promotion. This study adopts a qualitative descriptive approach with phenomenological analysis to explore the relationship between music consumption behavior and marketing strategies on TikTok. Findings indicate that algorithms act as digital curators, influencing audience preferences, while user participation accelerates the viral spread of songs through challenges, remixes, and content reproduction. Effective music marketing strategies must be data-driven, trend-responsive, and capable of leveraging users' emotional and social engagement. TikTok thus serves not only as a distribution platform but also as a space for constructing global popular culture. This study contributes to digital media scholarship and offers practical implications for designing sustainable marketing strategies in the ever-evolving digital ecosystem.

Abstract Global climate change and human activities are posing substantial threats to biodiversity. The genus Opisthopappus ( O. taihangensis and O. longilobus ), endemic to China’s Taihang Mountains, possesses great ecological, ornamental and medicinal value. However, it is confronted with the pressures of habitat fragmentation and climate change. Here, we present the first haplotype-resolved, chromosome-scale genome assembly of O. longilobus (∼2.95 Gb) and re-sequence 115 individuals across its range. Comparative analyses show Opisthopappus is sister to Artemisia - Chrysanthemum , with Opisthopappus and Chrysanthemum diverging at 5.15-5.18 million years ago. A profound genetic divergence is evident between O. taihangensis and O. longilobus , resulting in two distinct lineages within each species, driven by geography and climate. Our analyses indicate restricted gene flow, low diversity, and recurrent demographic bottlenecks collectively contribute to their endangerment. By integrating population genomics and environmental variables, we identified 4,437 core adaptive genes linked to water deprivation, and metabolism. Genomic offset predicts higher maladaptation risk in populations under drastic climate change. Furthermore, diverged promoters of two O-methyltransferase genes, OMT250 and OMT310 , likely underlie the differential acacetin/linarin accumulation between C. morifolium and O. longilobus . These findings advance understanding of Opisthopappus ’ evolution and climate vulnerability, offering a model for genomics-guided biodiversity conservation.

<title>Abstract</title> Globalization and technological advancement have intensified the dichotomy between commercialization and authenticity in the development of Intangible Cultural Heritage (ICH) tourism, leading to its heavy reliance on tangible spatial carriers. To effectively guide the preservation and development of ICH, this study takes China’s Yellow River Basin as a case study, constructing a multi-source assessment system for the tourism utilization potential of ICH to precisely identify intervention values for tourism development and advantageous zones. The findings indicate that: (1) ICH exhibits a highly concentrated spatial pattern characterized by “five cores and two wings”; (2) the distribution of tourism utilization potential demonstrates distinct “core–periphery” characteristics; (3) tangible spatial carriers serve as the primary driver of spatial differentiation in tourism potential; and (4) differentiated development models are accordingly proposed for six distinct zones.

Epilepsy is a chronic neurological disorder characterized by abnormal, excessive, and synchronous firing of neurons in the brain. Numerous biological studies have shown that the seizure and progression of epilepsy can directly activate the ferroptosis pathway, leading to dysregulation of physiological signaling and the induction of oxidative stress. As a key member of the reactive oxygen species (ROS) family, O2•- plays an important regulatory and signaling role in the nervous system. Investigating the dynamic regulation of O2•- between epilepsy and the ferroptosis pathway is crucial. Thus, high-resolution specific imaging of O2•- in the brain is urgently needed. Regarding the issue of being susceptible to interference from other reactive oxygen species, we innovatively introduced a series of push-pull electron groups (-F, -Cl, -Br, -I, -OCH3, -CF3, -H) to adjust the activity of the trifluorosulfonic acid group. LYC-CF3 was founded to be specific for O2•-. Meanwhile, due to the isophorone fluorophore, the probe exhibits enhanced lipophilicity, red-shifted emission wavelengths, and the ability to cross the blood-brain barrier. Using LYC-CF3, we constructed a brain imaging epilepsy model under ferroptosis inducers and inhibitors as a marker for O2•-. For the first time, we revealed ferroptosis pathways mediating epilepsy. These findings provide a new theoretical basis and potential intervention strategy for the early diagnosis and treatment of epilepsy.

Understanding how plant community characteristics and soil properties vary along altitudinal gradients is essential for ecosystem conservation, restoration, and for predicting ecosystem responses to global environmental change. This study investigated altitudinal patterns and their potential drivers in mountain meadow communities on the southern slope of Wutai Mountain, Northern China. Community characteristics and soil physicochemical properties were measured along an altitudinal gradient ranging from 1800 to 3000 m a.s.l. Most community characteristics exhibited clear altitudinal trends. Species richness, Shannon–Wiener index, Simpson index, aboveground biomass and average plant height all declined significantly with increasing altitude. In contrast, vegetation cover showed a unimodal pattern, initially decreasing and then increasing at higher elevations. Soil physicochemical properties also varied significantly along the altitudinal gradient and were closely associated with changes in community characteristics. Variation partitioning analysis revealed that environmental factors, including altitude and soil properties, explained 71.9% of the total variation in mountain meadow communities. Altitude alone contributed more to community variation than soil factors, indicating its dominant role in shaping community structure. Nevertheless, specific soil properties, particularly soil depth, soil bulk density and soil pH, also exerted significant influences on community characteristics. Overall, our results demonstrate that altitude is a key driver of both vegetation and soil variation in mountain meadows on the southern slope of Wutai Mountain. In addition to altitudinal effects, soil physicochemical properties should be considered when developing conservation and management strategies for mountain meadow ecosystems.