Highly pathogenic bovine viral diarrhea virus BJ-11 unveils genetic evolution related to virulence in calves.

Bovine viral diarrhea virus (BVDV) is the causative agent of bovine viral diarrhea, which causes significant economic loss to the global livestock industry. Despite the widespread use of inactivated BVDV vaccines, highly pathogenic strains continue to emerge. In China, regional variations in BVDV subtypes, morbidities, and symptoms, however, only the BVDV 1a subtype vaccine is currently approved.

Morphological, physiological and transcriptional analyses provide insights into the biosynthesis of phenolics in Juniperus rigida under UV-B treatment.

Phenolics play a crucial role in plant defense mechanisms against increased UV-B radiation. Due to their significant medicinal properties, the phenolic compounds produced by Juniperus rigida have great potential as valuable sources for medicine. However, the process of synthesizing J.

Bioinformatics and immunoinformatics approaches in the design of a multi-epitope vaccine targeting CTLA-4 for melanoma treatment.

Melanoma, a highly aggressive skin cancer, remains a significant cause of mortality despite advancements in therapeutic strategies. There is an urgent demand for developing vaccines that can elicit strong and comprehensive immune responses against this malignancy. Achieving this goal is crucial to enhance the efficacy of immunological defense mechanisms in combating this disease.

The Optimization of the Debittering Process and the Exploration of Bitter Metabolites of 'Fengdan' Seeds.

Tree peony seeds, traditionally used for edible oil production, are rich in α-linolenic acid (ALA). However, little attention is paid to their development as a healthcare food due to their bitter and astringent taste. The aim of this study was to optimize the debittering process of peony seeds on the basis of maintaining nutritional value and to identify the compounds that cause the taste of bitterness.

Investigation of Intestinal Microbes of Five Zokor Species Based on 16S rRNA Sequences.

Zokor is a group of subterranean rodents that are adapted to underground life and feed on plant roots. Here, we investigated the intestinal microbes of five zokor species (, , , , and ) using 16S amplicon technology combined with bioinformatics. Microbial composition analysis showed similar intestinal microbes but different proportions among five zokor species, and their dominant bacteria corresponded to those of herbivores.

[Regulatory roles of and genes in plant oil synthesis].

There is a large gap between production and demand of plant oil in China, which leads to the heavy reliance on imports. Diacylglycerol acyltransferase (DGAT) and phospholipid: diacylglycerol acyltransferase (PDAT) are two key enzymes responsible for the synthesis of triacylglycerol, thereby affecting the yield and quality of plant oil. This paper comprehensively reviews the research progress in and in terms of their biological functions in plant oil synthesis, the molecular mechanisms of regulating plant lipid metabolism, growth, and development under stress, and their roles in driving oil synthesis under the background of synthetic biology.

Aroma analysis and biomarker screening of 27 tea cultivars based on four leaf color types.

Green is no longer the only color used to describe tea leaves. As tea plants with different leaf colors-white, yellow, and purple-yield significant economic benefits, scholars are growing increasingly curious about whether these differently colored leaves possess unique aromatic characteristics. Headspace solid-phase microextraction (HS-SPME) combined with GC-MS was used to analyze the volatile metabolites of buds and leaves from 7 white-leaf tea plants, 9 yellow-leaf tea plants, 4 purple-leaf tea plants, and 7 normal (green) tea plants.

Effects of soil water on fungal community composition along elevational gradients on the northern slope of the Central Kunlun Mountains.

Soil fungi are essential to ecosystem processes, yet their elevational distribution patterns and the ecological mechanisms shaping their communities remain poorly understood and actively debated, particularly in arid regions. Here, we investigated the diversity patterns and underlying mechanisms shaping soil fungal communities along an elevational gradient (1,707-3,548 m) on the northern slope of the Central Kunlun Mountains in northwest China. Results indicated that the dominant phyla identified across the seven elevational gradients were and , displaying a unimodal pattern and a U-shaped pattern in relative abundance, respectively.

Differential responses of plant and microbial respiration to extreme precipitation and drought during spring and summer in the Eurasian meadow steppe.

Increasing extreme precipitation and drought events along changes in their seasonal patterns due to climate change are expected to have profound consequences for carbon cycling. However, how these climate extremes impact ecosystem respiration (R) and whether these impacts differ between seasons remain unclear. Here, we reveal the responses of R and its components to extreme precipitation and drought in spring and summer by conducting a five-year manipulative experiment in a temperate meadow steppe.

Multiple, Single Trait GWAS and Supervised Machine Learning Reveal the Genetic Architecture of Fraxinus excelsior Tolerance to Ash Dieback in Europe.

Common ash (Fraxinus excelsior) is under intensive attack from the invasive alien pathogenic fungus Hymenoscyphus fraxineus, causing ash dieback at epidemic levels throughout Europe. Previous studies have found significant genetic variation among genotypes in ash dieback susceptibility and that host phenology, such as autumn yellowing, is correlated with susceptibility of ash trees to H. fraxineus; however, the genomic basis of ash dieback tolerance in F.

Advancing COVID-19 Treatment: The Role of Non-covalent Inhibitors Unveiled by Integrated Machine Learning and Network Pharmacology.

Introduction: The COVID-19 pandemic has necessitated rapid advancements in therapeutic discovery. This study presents an integrated approach combining machine learning (ML) and network pharmacology to identify potential non-covalent inhibitors against pivotal proteins in COVID-19 pathogenesis, specifically B-cell lymphoma 2 (BCL2) and Epidermal Growth Factor Receptor (EGFR).

Method: Employing a dataset of 13,107 compounds, ML algorithms such as k-Nearest Neighbors (kNN), Support Vector Machine (SVM), Random Forest (RF), and Naïve Bayes (NB) were utilized for screening and predicting active inhibitors based on molecular features.

Carbon sink potential and the cost of afforestation in northwest China when accounting for ecosystem service value.

The cost effectiveness of mitigating climate change through afforestation needs to be evaluated for regions with a fragile environment and vulnerable ecosystems. This study develops an integrated geographic-economic-ecological framework to evaluate the cost-effectiveness of afforestation for carbon sequestration in Northwest China. It employs a spatial model of natural factors and a bioeconomic optimization model to identify marginal lands suitable for afforestation.

Population sequencing of cherry accessions unravels the evolution of Cerasus species and the selection of genetic characteristics in edible cherries.

Cerasus is a subgenus of Prunus in the family Rosaceae that is popular owing to its ornamental, edible, and medicinal properties. Understanding the evolution of the Cerasus subgenus and identifying selective trait loci in edible cherries are crucial for the improvement of cherry cultivars to meet producer and consumer demands. In this study, we performed a de novo assembly of a chromosome-scale genome for the sweet cherry (Prunus avium L.

ShinyGS-a graphical toolkit with a serial of genetic and machine learning models for genomic selection: application, benchmarking, and recommendations.

Genomic prediction is a powerful approach for improving genetic gain and shortening the breeding cycles in animal and crop breeding programs. A series of statistical and machine learning models has been developed to increase the prediction performance continuously. However, the application of these models requires advanced R programming skills and command-line tools to perform quality control, format input files, and install packages and dependencies, posing challenges for breeders.

Advancements in Structural Basis of Covalent Inhibitors Targeting SARS-CoV-2 Essential Proteins.

Covalent inhibitors play a pivotal role in the development of pharmaceutical therapies, as they form stable, irreversible bonds with target biomolecules, leading to prolonged therapeutic effects and enhanced efficacy. Since covalent inhibitors first appeared in the late 1800s, the field has become innovative rapidly, and covalent inhibitors now account for around 30% of all marketed therapeutics. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the pandemic of Coronavirus Disease 2019 (COVID-19).

Building of CuO@Cu-TA@DSF/DHA Nanoparticle Targets MAPK Pathway to Achieve Synergetic Chemotherapy and Chemodynamic for Pancreatic Cancer Cells.

With the increase of reactive oxygen species (ROS) production, cancer cells can avoid cell death and damage by up-regulating antioxidant programs. Therefore, it will be more effective to induce cell death by using targeted strategies to further improve ROS levels and drugs that inhibit antioxidant programs. Considering that dihydroartemisinin (DHA) can cause oxidative damage to protein, DNA, or lipids by producing excessive ROS, while, disulfiram (DSF) can inhibit glutathione (GSH) levels and achieve the therapeutic effect by inhibiting antioxidant system and amplifying oxidative stress, they were co-loaded onto the copper peroxide nanoparticles (CuO) coated with copper tannic acid (Cu-TA), to build a drug delivery system of CuO@Cu-TA@DSF/DHA nanoparticles (CCTDD NPs).

Prediction of the Future Evolution Trends of in China Based on the Key Climate Factors Using MaxEnt Modeling.

Mountain apricot () is an important fruit tree variety, and has a wide range of planting and application value in China and even the world. However, the current research on the suitable distribution area of is still inconclusive. In this study, we retrieved distribution data for in China from the Global Biodiversity Information Facility (GBIF), and identified six key environmental factors influencing its distribution through cluster analysis.

Predicting Tuberculosis Risk in Cattle, Buffaloes, Sheep, and Goats in China Based on Air Pollutants and Meteorological Factors.

Tuberculosis is a zoonotic chronic respiratory infectious disease caused by the complex. The outbreak and epidemic of tuberculosis can seriously threaten human and veterinary health. To investigate the effects of environmental factors on tuberculosis in domestic ruminants, we collected data regarding the prevalence of tuberculosis in cattle, buffaloes, sheep, and goats in China (1956-2024) from publicly published literature and available databases.

Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health.

The Conference 2024 provides a platform to promote the development of an innovative scientific research ecosystem for microbiome and One Health. The four key components - Technology, Research (Biology), Academic journals, and Social media - form a synergistic ecosystem. Advanced technologies drive biological research, which generates novel insights that are disseminated through academic journals.

Molecular characterization of a novel photoperiod-insensitive allele Ppd-B1a.3 and its effect on heading date in Chinese wheat (Triticum aestivum) cultivar Qingchun 37.

Breeders adjust wheat heading dates to improve regional adaptability and reduce or mitigate yield losses caused by meteorological disasters, pests and diseases. The Ppd-1 genes play a crucial role in determining wheat sensitivity to changes in day-length and serve as key regulators of heading dates once the vernalization requirement is satisfied. In this study, we identified a new allelic variant of the promoter region, Ppd-B1a.

Changes in and prediction of land carrying capacity in Fujian Province from a dietary nutrition perspective.

Resources and land carrying capacity are vital to the survival and development of human society and form the foundation for ensuring food security. However, evaluating land carrying capacity solely based on grain production is overly simplistic. A comprehensive assessment from the perspective of dietary nutrition is needed to more accurately reflect the actual carrying capacity of land.

Impact of diverse exogenous hormones on parthenocarpy, yield, and quality of pepino () in the Qinghai-Tibet plateau's natural conditions.

Unlabelled: Pepino (), native to the Andes Mountains, requires exogenous hormones in its brief frost-free plateau environment to induce parthenocarpy and ensure yield.The effects of different plant growth regulators and application methods on pepino's growth, yield, and fruit quality were analyzed. Results showed that exogenous plant growth regulators had significant effects on various plant traits For instance, plant height decreased by 43.

Combined Metabolome and Transcriptome Analyses Reveals Anthocyanin Biosynthesis Profiles Between Purple and White Potatoes.

Colored potatoes with red and purple skin or flesh possess significant nutritional value and health benefits due to their rich anthocyanin content. To investigate the genetic mechanisms underlying color formation, the high-anthocyanin-content purple-skinned and purple-fleshed potato line 15-12-16, and the white-skinned and white-fleshed Xiazhai 65 variety were used for ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI-MS/MS) analysis, which was conducted to identify and quantify anthocyanins. RNA sequencing was performed to analyze the transcriptome.

Compositional Analysis of Grape Berries: Mapping the Global Metabolism of Grapes.

To characterize the nutrients and bioactive compounds in grape berries and to explore the real cause of the "French paradox" phenomenon, we performed metabolomic analysis of 66 grape varieties worldwide using liquid chromatography-tandem mass spectrometry (LC-MS). A nontargeted metabolomics approach detected a total of 4889 metabolite signals. From these, 964 bioactive and nutrient compounds were identified and quantified, including modified flavonoids, medicinal pentacyclic triterpenoids, vitamins, amino acids, lipids, etc.