Hippophae tibetana, belonging to the Elaeagnaceae family, is an endemic plant species of the Qinghai–Tibet Plateau, valued for its remarkable ecological restoration capabilities, as well as medicinal and edible properties. Despite being acknowledged as a useful species, its mitochondrial genome data and those of other species of the Elaeagnaceae family are lacking to date. In this study, we, for the first time, successfully assembled the mitochondrial genome of H. tibetana, which is 464,208 bp long and comprises 31 tRNA genes, 3 rRNA genes, 37 protein-coding genes, and 3 pseudogenes. Analysis of the genome revealed a high copy number of the trnM-CAT gene and a high prevalence of repetitive sequences, both of which likely contribute to genome rearrangement and adaptive evolution. Through nucleotide diversity and codon usage bias analyses, we identified specific genes that are crucial for adaptation to high-altitude conditions. Notably, genes such as atp6, ccmB, nad4L, and nad7 exhibited signs of positive selection, indicating the presence of unique adaptive traits for survival in extreme environments. Phylogenetic analysis confirmed the close relationship between the Elaeagnaceae family and other related families, whereas intergenomic sequence transfer analysis revealed a substantial presence of homologous fragments among the mitochondrial, chloroplast, and whole genomes, which may be linked to the high-altitude adaptation mechanisms of H. tibetana. The findings of this study not only enrich our knowledge of H. tibetana molecular biology but also advance our understanding of the adaptive evolution of plants on the Qinghai–Tibet Plateau. This study provides a solid scientific foundation for the molecular breeding, conservation, and utilization of H. tibetana genetic resources.

Kombucha, a traditional fermented beverage, has become an important topic in global health beverage research due to its potential health benefits. The aim of this review is to integrate the existing literature and analyze the interactions among microbial communities during the fermentation process of kombucha, especially how Saccharomyces, Acetobacter, and Lactobacillus generate bioactive components with health benefits through the cascade reaction in sugar metabolism–ethanol oxidation–organic acid accumulation. We also focus on the effects of fermentation conditions (e.g., time, temperature, and strain) on the microbial community structure and metabolic pathways, as well as their effects on the bioactive components and quality of kombucha microbiota (the microbial community in kombucha). By combing and analyzing the existing studies, this review provides an important theoretical basis for the optimization of the fermentation process, enhancement of health benefits, and development of functional beverages of kombucha microbiota, as well as new ideas for future research directions.

The Tibetan plateau, with complex and diverse ecosystems, is an important ecological security barrier to China. However, climate change and the spread of invasive plant species have imperiled the once pristine and diverse ecosystem of the region. To prevent the further spread and control of invasive plants, it is important to delineate the potential distribution patterns of alien invasive plants at the regional scale across Tibet and understand their responses to climate change. Galinsoga parviflora Cav., a member of the family Asteraceae, is an annual herbaceous plant distributed globally as an invasive weed and possesses characteristics that make it highly invasive, such as a strong ability to proliferate and disperse. The species is also known to have an allelopathic effect. There has been no report on the spatial distribution of G. parviflora in Tibet. Using field survey data, we investigated the risk of G. parviflora invasion and its impacts on the ecological safety of Tibet. We employed the MaxEnt model using the R language and SPSS software to optimize and select model parameters and data. We acquired various environmental variables along with current and future climate change scenarios (two carbon emission scenarios, SSP126 and SSP585, for the years 2050 and 2090) to predict the geographic distribution and potential risk areas in Tibet that G. parviflora can invade. The MaxEnt model accurately predicted the distribution of G. parviflora in Tibet with an average AUC of 0.985. The most suitable environmental conditions in which G. parviflora performed the best in Tibet included a mean annual temperature of 6.2–10.0 °C and an elevation range of 2672–3744 m above sea level. Our results indicate that low precipitation during the coldest quarter of the year (mean temperature −2–3 °C) was the most important variable predicting G. parviflora distribution. The results also showed that the species was hardly found when precipitation in the coldest quarter exceeded 155 mm. The current potential invasion risk areas for G. parviflora included the river valleys of central, southeastern, and eastern Tibet. With future climate change scenarios (i.e., SSP126, SSP585), the suitable habitats for G. parviflora distribution will likely shift to northwest regions from the southeast. Particularly under the highest carbon emission scenario (i.e., SSP585), the potential risk area expands more rapidly, and the center of distribution shifts to northwest regions. These findings provide useful information about the current and future changes in G. parviflora distribution in Tibet, which is crucial for the comprehensive and proactive management and control of G. parviflora under future climate change.

Hippophae salicifolia, a dioecious shrub endemic to the Himalayan region, holds substantial ecological and economic value. The lack of pre-flowering morphological traits for sex identification has long impeded efficient germplasm management and breeding efforts. In this study, we utilized third-generation sequencing technology to conduct whole-genome comparative analysis of known-sex individuals, identifying insertion/deletion loci significantly associated with sex. Based on these loci, we designed a specific primer pair, Hsa09. PCR amplification results demonstrated 100% accuracy in sex differentiation, with female individuals showing a single band and male individuals exhibiting a double-band pattern. Cross-species validation revealed limited applicability of Hsa09 in closely related Hippophae species, suggesting notable divergence in sex determination mechanisms within the genus. This study establishes the first molecular tool for early sex identification in H. salicifolia, overcoming the dependence on reproductive organ development in traditional methods. It provides essential technical support for understanding the evolutionary pathways of sex chromosomes and advancing sex-regulated breeding strategies within the Hippophae genus. Not applicable.

This study reports the first complete mitochondrial genome assembly of Hippophae salicifolia, an ecologically and economically important plant endemic to the Himalayas. The 475,105 bp genome has a 44.80% GC content and an overall AT bias, comprising 74 genes (37 protein-coding, 31 tRNA, three rRNA, and three pseudogenes). We identified extensive repetitive elements, including 188 SSRs, 20 tandem repeats, and 455 dispersed repeats, and explored their potential roles in genome evolution. Codon usage analysis showed a bias for codons ending in A or U, while RNA editing analysis revealed 415 sites that mostly convert hydrophilic to hydrophobic amino acids. Phylogenetic and collinearity analyses clarified evolutionary relationships within Hippophae and uncovered genome rearrangements. In addition, extensive gene transfer was detected between the mitochondrial and chloroplast genomes. Ka/Ks and nucleotide diversity analyses indicate that most genes are under purifying selection, with some possibly undergoing positive selection. Overall, these findings enhance our understanding of the structural and evolutionary features of the H. salicifolia mitochondrial genome and provide valuable insights for the genetic improvement and conservation of Hippophae species.

Under the backdrop of globalization, biological invasions driven by human activities have become a major threat to global biodiversity. As a crucial ecological security barrier in southwestern China, Xizang possesses rich biodiversity and fragile ecosystems. Cosmos bipinnatus , a widely cultivated ornamental invasive plant in Xizang, is spreading very fast and poses a potential threat to Xizang. Clarifying its distribution patterns and response mechanisms under climate change is critical for safeguarding regional ecological security and implementing effective invasion control measures. Through field investigations and computational modeling using optimized Maximum Entropy (MaxEnt) models with parameter tuning, ArcGIS 10.4, and R programming, we predicted current and future (2050 and 2090) potential invasion risk zones under two greenhouse gas emission scenarios (SSP1‐2.6 and SSP5‐8.5). MaxEnt results show: (1) The model's AUC of 0.983 indicates high accuracy. The dominant factors affecting Cosmos bipinnatus distribution are the average temperature of the coldest quarter, Human Impact Index, and upper soil pH. (2) Under future climates, the potential risk area of Cosmos bipinnatus will likely expand northwest. Under SSP1‐2.6, the risk area within Shannan City will shift. Under SSP5‐8.5, Cosmos bipinnatus is more sensitive to climate change, with faster expansion and longer–distance shifts, moving from Gacha County to Namling County. This research provides essential ecological evidence and practical reference for comprehensive prevention and dynamic monitoring of C. bipinnatus invasions in Xizang.