Search Results (27)

Evapotranspiration (ET) is an important part of agricultural water consumption, yet little is known about nocturnal evapotranspiration (ETN) patterns. An eddy covariance system was used to observe ET over five consecutive years (2020–2024) during the growing season in a dry farming area of the Loess Plateau. Daytime and nocturnal evapotranspiration were partitioned using the photosynthetically active radiation threshold to reveal the changing characteristics of ETN at multiple time scales and its control variables. The results showed the following: (1) In contrast to the non-significant trend in ETN on the diurnal and daily scales, monthly ETN dynamics exhibited two peak fluctuations during the growing season. (2) The contribution of ETN to ET exhibited seasonal characteristics, being relatively low in summer, with interannual variations ranging from 10.9% to 14.3% and an annual average of 12.8%. (3) The half-hourly ETN, determined by machine learning methods, was driven by a combination of factors. The main driving factors were the difference between surface temperature and air temperature (Ts-Ta) and net radiation (Rn), which have almost equivalent contributions. Regression analysis results suggested that Ta was the main factor influencing ETN/ET at the monthly scale. This study focuses on the nighttime water loss process in dry farming fields in Northwest China, and the results provide a basis for rational allocation and efficient utilization of agricultural water resources in arid regions. Full article

Escherichia coli and Klebsiella pneumoniae are major contributors to the global challenge of antimicrobial resistance, posing serious threats to public health. Among current preventive strategies, conjugate vaccines that utilize bacterial surface polysaccharides have emerged as a promising and effective approach to counter multidrug-resistant strains. In this study, both the Wzy/Wzx-dependent and ABC transporter-dependent biosynthetic pathways for antigenic polysaccharides were introduced into E. coli W3110 cells. This dual-pathway engineering enabled the simultaneous biosynthesis of two structurally distinct polysaccharides within a single host, offering a streamlined and potentially scalable strategy for vaccine development. Experimental findings confirmed that both polysaccharide types were successfully produced in the engineered strains, although co-expression levels were moderately reduced. A weak competitive interaction was noted during the initial phase of induction, which may be attributed to competition for membrane space or the shared use of activated monosaccharide precursors. Interestingly, despite a reduction in plasmid copy number and transcriptional activity of the biosynthetic gene clusters over time, the overall polysaccharide yield remained stable with prolonged induction. This suggests that extended induction does not adversely affect final product output. Additionally, two glycoproteins were efficiently generated through in vivo bioconjugation of the synthesized polysaccharides with carrier proteins, all within the same cellular environment. This one-cell production system simplifies the workflow and enhances the feasibility of generating complex glycoprotein vaccines. Whole-cell proteomic profiling followed by MFUZZ clustering and Gene Ontology analysis revealed that core biosynthetic genes were grouped into two functional clusters. These genes were predominantly localized to the cytoplasm and were enriched in pathways related to translation and protein binding. Such insights not only validate the engineered biosynthetic routes but also provide a molecular basis for optimizing future constructs. Collectively, this study presents a robust synthetic biology platform for the co-expression of multiple polysaccharides in a single bacterial host. The approach holds significant promise for the rational design and production of multivalent conjugate vaccines targeting drug-resistant pathogens. Full article

Edible and medicinal substances can be contaminated by fungi during harvesting, processing, and storage, leading to mycotoxin production and quality deterioration. The distribution of mycotoxigenic fungi in edible and medicinal substances was investigated in this study. Fungi and mycotoxins were detected in 163 commercially available edible and medicinal substances using standard microbiological techniques and high-performance liquid chromatography. A total of 92.0% of samples contained fungi (0.5–5.3 lg colony-forming units (CFU)·g⁻¹); 208 fungal strains belonging to 16 genera were identified, predominantly Aspergillus and Penicillium. Aspergillus section Nigri (30.3%) produced fumonisin B₂, which was distributed mainly in radix and rhizome samples. Thirteen samples had mycotoxins, of which ochratoxin A was the most common, followed by aflatoxins and zearalenone (ZEN). One Nelumbinis semen sample contained 10.75 μg·kg⁻¹ AFB₁, and one Raisin tree semen sample contained 484.30 μg·kg⁻¹ ZEN, which exceeded regulatory limits in Europe and China. These findings highlight the potential risks associated with fungal contamination and mycotoxins in edible and medicinal substances. Enhanced quality control measures are essential to reduce contamination during harvesting, processing, and storage. Expanded mycotoxin screening, improved preservation techniques, and stricter regulatory standards need to be implemented to ensure consumer safety. Full article

Rice blast disease, caused by Magnaporthe oryzae (M. oryzae), is a significant threat to global rice production. Conventional methods for disease management face limitations, emphasizing the importance of sustainable alternatives. In this study, two rice cultivars with different blast resistant abilities, the susceptible variety CO39 and the resistant variety Pi4b, were used as materials to study the effects of Piriformospora indica (Pi) on the resistance to M. oryzae infection and rice growth. The in vitro tests revealed no direct antagonistic interaction between Pi and M. oryzae. However, the in vivo experiments showed that Pi promoted plant growth by increasing root and shoot length, chlorophyll content, and nitrogen uptake, particularly in CO39 during pathogen infection. Pi inoculation also significantly reduced disease severity, which was indicated by smaller lesion areas and shorter lesion lengths in both cultivars but a more pronounced effect in CO39. This occurred due to the decreasing levels of MDA and the modulating activity of antioxidant enzymes in Pi-inoculated rice plants. At the early stage of M. oryzae infection, the expression of the ethylene signaling gene OsEIN2 and the gibberellin biosynthesis gene OsGA20ox1 in Pi-inoculated CO39 decreased but significantly increased in both rice cultivars at the later stage. The reverse was found for the pathogenesis-related (PR) genes OsPR10 and OsPBZ1 and the blast-resistant genes OsBRG1, OsBRG2, and OsBRW1, suggesting early growth suppression for rice resilience to blast followed by a later shift back to growth. Meanwhile, Pi inoculation increased OsCesA9 expression in rice to strengthen cell walls and establish the primary defense barrier against M. oryzae and upregulated the expression of OsNPR1 without a significant difference in CO39 but downregulated it in Pi4b to activate PR genes to enhance plant resistance. In summary, these results underscore the potential of Pi as a sustainable biological control agent for rice blast disease, which is particularly beneficial for blast-susceptible rice cultivars. Full article

Seed germination is a fundamental process in plant reproduction, and it involves a series of complex physiological mechanisms. The germination rate of Astragalus mongholicus (AM) seeds is significantly lower under natural conditions. To investigate the key genes associated with AM seed germination, seeds from AM plants were collected at 0, 12, 24, and 48 h for a transcriptomic analysis, weighted gene co-expression network analysis (WGCNA), and machine learning (ML) analysis. The primary pathways involved in AM seed germination include plant-pathogen interactions and plant hormone signaling. Four key genes were identified through the WGCNA and ML: Cluster-28,554.0, FAS4, T10O24.10, and EPSIN2. These findings were validated using real-time quantitative reverse transcription PCR (qRT-PCR), and results from RNA sequencing demonstrated a high degree of concordance. This study reveals, for the first time, the key genes related to AM seed germination, providing potential gene targets for further research. The discovery of N4-acetylcysteine (ac4C) modification during seed germination not only enhances our understanding of plant ac4C but also offers valuable insights for future functional research and application exploration. Full article

Grain size is one of the critical factors determining rice yield. Previous studies have found the grain-size-regulating function of Gα in rice. However, the regulatory mechanism underlying the development of rice grain mediated by Gα is still unclear. To reveal the functional mechanism of Gα in grain size regulation, a mutant of Gα (Gα-Cas9) was firstly constructed through a CRISPR/Cas9 strategy and was then grown in a greenhouse and field. The results showed that the seed length, plant height, 1000-grain weight, and spike length were significantly decreased in Gα-Cas9 compared to wild-type (WT) Pi-4b. During the grain filling stage, the increase in the grain dry weight of Pi-4b occurred earlier than that of Gα-Cas9. The total starch content and amylose content of matured grains of Pi-4b were higher than those of Gα-Cas9. Secondly, transcriptome sequencing analysis of Gα-Cas9 and Pi-4b during grain filling was performed to elucidate the functional pathways regulated by Gα. In total, 2867 and 4534 differentially expressed genes (DEGs) were discovered at 5 DAF and 10 DAF, and the starch and sucrose metabolism pathway enriched by DEGs was involved in grain size regulation mediated by Gα. Gα regulated the expression of starch-synthesis-related genes during grain filling, and the Gα protein interacted with OsNYC4 to trigger the sugar signaling pathway to promote starch accumulation in grain. Additionally, the GW2-WG1-OsbZIP47 pathway was switched off by Gα to relieve the inhibition of rice grain development. In this study, the results should provide new insights into the G protein signal transduction pathway. Full article

Plant phenology is an important indicator of the impact of climate change on ecosystems. We have continuously monitored vegetation phenology using near-surface remote sensing, i.e., the PhenoCam in a gully region of the Loess Plateau of China from March 2020 to November 2022. In each image, three regions of interest (ROIs) were selected to represent different types of vegetation (scrub, arbor, and grassland), and five vegetation indexes were calculated within each ROI. The results showed that the green chromatic coordinate (GCC), excess green index (ExG), and vegetation contrast index (VCI) all well-captured seasonal changes in vegetation greenness. The PhenoCam captured seasonal trajectories of different vegetation that reflect differences in vegetation growth. Such differences may be influenced by external abiotic environmental factors. We analyzed the nonlinear response of the GCC series to environmental variables with the generalized additive model (GAM). Our results suggested that soil temperature was an important driver affecting plant phenology in the Loess gully region, especially the scrub showed a significant nonlinear response to soil temperature change. Since in situ phenology monitoring experiments of the small-scale on the Loess Plateau are still relatively rare, our work provides a reference for further understanding of vegetation phenological variations and ecosystem functions on the Loess Plateau. Full article

With the escalating demand for Astragalus polysaccharides products developed from Radix Astragali (RA), the necessity for quality control of polysaccharides in RA has become increasingly urgent. In this study, a specific method for the simultaneous determination of seven monosaccharides in polysaccharides extracted from Radix Astragali (RA) has been developed and validated using ultra-performance liquid chromatography equipped with an ultraviolet detector (UHPLC-UV) for the first time. The 1-phenyl-3-methyl-5-pyrazolone (PMP) derivatizations were separated on a C18 column (Waters ACQUITY^TM, Milfor, MA, USA, 1.8 µm, 2.1 × 100 mm) using gradient elution with a binary system of 5 mm ammonium formate (0.1% formic acid)-acetonitrile for 24 min. Additionally, seven monosaccharides showed good linear relationships (R², 0.9971–0.9995), adequate precision (RSD < 4.21%), and high recoveries (RSD < 4.70%). The established method was used to analyze 109 batches of RA. Results showed that the Astragalus polysaccharides (APSs) mainly consist of mannose (Man), rhamnose (Rha), glucose (Glu), galactose (Gal), arabinose (Ara), xylose (Xyl); and fucose (Fuc); however, their composition was different among RA samples from different growth patterns, species, growth years, and origins, and the growth mode of RA and the age of wild-simulated RA can be accurately distinguished by principal component analysis (PCA). In addition, the immunological activity of APSs were also evaluated jointly by measurement of the NO release with RAW264.7, with the results showing that APSs have a promoting effect on the release of NO and exhibit a significant correlation with Man, Glu, Xyl, and Fuc contents. Accordingly, the new established monosaccharides analytical method and APS-immune activity determination in this study can provide a reference for quality evaluation and the establishment of quality standards for RA. Full article

To explore the effects of pulsed electric field treatment on the germination of Scutellaria baicalensis seeds and the growth of seedlings, this study used the response surface methodology to design the working parameters of the pulsed electric field and treated and cultured Scutellaria baicalensis seeds. The results showed that the pulsed electric field treatment was beneficial for the germination of Scutellaria baicalensis seeds, improving the metabolic activity and stress resistance of seedlings. When the pulsed electric field treatment’s parameters were 0.5 kV·cm⁻¹, 120 μs, and 99 pulses, the germination potential of seeds was significantly increased by 29.25% and the germination index significantly increased by 20.65%, compared to the control. From 5th to 15th day, the activities of SOD, POD, and α-amylase in the seedlings, and the contents of Pro, soluble sugars, and soluble proteins were significantly increased, compared to the control. This study provides a theoretical basis for improving the germination and seedling growth of medicinal herbs such as Scutellaria baicalensis and their practical application in production. Full article

In the backdrop of China’s evolving economic landscape, the real economy confronts a myriad of challenges, both domestically and on the global front. Technological innovation, characterized by its capital intensity and the unpredictable nature of its returns, stands as a pivotal force poised to rejuvenate nascent sectors and overhaul the existing industrial framework. Parallel to this, financial agglomeration emerges with a bifurcated function: it not only directly propels the real economic trajectory but also exerts an indirect influence via the channels of technological advancement. Delving deep into this interplay, our study dissected data collated from 30 major provinces and cities across mainland China, spanning the years 2011 to 2018. We employed the nuanced techniques of fuzzy matter–element analysis combined with the location entropy method. By anchoring our findings on a spatial econometric model, we uncovered the intricate dynamics of how technological ingenuity and financial clustering drive real economic growth, shedding light on the spatial reverberations that ripple across regions. Building on the tangible empirical evidence reflecting the trajectory of technological innovation and financial agglomeration within China, this article distills and presents the salient conclusions drawn from the investigation. Full article

Lonicerae japonicae flos and Lonicerae flos are increasingly widely used in food and traditional medicine products around the world. Due to their high demand and similar appearance, they are often used in a confused or adulterated way; therefore, a rapid and comprehensive analytical method is highly required. In this case, the comparative analysis of a total of 100 samples with different species, growth modes, and processing methods was carried out by nuclear magnetic resonance (¹H-NMR) spectroscopy and chemical pattern recognition analysis. The obtained ¹H-NMR spectrums were employed by principal component analysis (PCA), partial least-squares discriminant analysis (PLS-DA), orthogonal partial least-squares discriminant analysis (OPLS-DA), and linear discriminant analysis (LDA). Specifically, after the dimensionality reduction of data, linear discriminant analysis (LDA) exhibited good classification abilities for the species, growth modes, and processing methods. It is worth noting that the sample prediction accuracy from the testing set and the cross-validation predictions of the LDA models were higher than 95.65% and 98.1%, respectively. In addition, the results showed that macranthoidin A, macranthoidin B, and dipsacoside B could be considered as the main differential components of Lonicerae japonicae flos and Lonicerae Flos, while secoxyloganin, secologanoside, and sweroside could be responsible for distinguishing cultivated and wild Lonicerae japonicae Flos. Accordingly, ¹H-NMR spectroscopy combined with chemical pattern recognition gives a comprehensive overview and provides new insight into the quality control and evaluation of Lonicerae japonicae flos. Full article

The fraud phenomenon is currently widespread in the traditional Chinese medicine Radix Astragali (RA) market, especially where high-quality RA is substituted with low-quality RA. In this case, focused on polysaccharides from RA, the classification models were established for discrimination of RA from different growth patterns, origins, species, and growth years. 1H Nuclear Magnetic Resonance (H¹-NMR) was used to establish the spectroscopy of polysaccharides from RA, which were used to distinguish RA via chemical pattern recognition methods. Specifically, orthogonal partial least squares discriminant analysis (OPLS-DA) and linear discriminant analysis (LDA) were used to successfully establish the classification models for RA from different growth patterns, origins, species, and growth years. The satisfactory parameters and high accuracy of internal and external verification of each model exhibited the reliable and good prediction ability of the developed models. In addition, the polysaccharide content and immunological activity were also tested, which was evaluated by the phagocytic activity of RAW 264.7. And the result showed that growth patterns and origins significantly affected the quality of RA. However, there was no significant difference in the aspects of origins and growth years. Accordingly, the developed strategy combined with chemical information, biological activity, and multivariate statistical method can provide new insight for the quality evaluation of traditional Chinese medicine. Full article

With global warming, the dramatic retreat of glaciers in the Tibetan Plateau (TP) might accelerate release of stored methane (CH₄) into the atmosphere; thus, this region might become a new source of CH₄. CH₄-metabolic microbial communities can produce or consume CH₄ in the environment, which is critical for evaluating the CH₄ budget of glaciers. However, studies on the influence of CH₄-metabolic microbial communities on the CH₄ budget during glacier retreat in the TP remain scarce. In this work, ice samples were collected at the terminus of the Guliya Ice Cap in the northwestern TP. The community composition of CH₄-metabolic microorganisms, including methanogens and methanotrophs, was determined using genomic analysis, and the metabolic rates of the two microorganisms were further estimated. The abundance of methanotrophs in Guliya was one order of magnitude higher than that of methanogens. The CH₄ consumption flux by the combined action of the two microorganisms was ca. 1.42 × 10³ pmol·mL⁻¹·d⁻¹, suggesting that CH₄ metabolic microbial communities in the glacier might be an important CH₄ sink, and can reduce subglacial CH₄ emission during glacier retreat. This is important for predicting the CH₄ budget in glaciers on the TP and corresponding climate impacts during glacier retreat. Full article

The analysis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) gene copy numbers in wastewater samples can provide quantitative information on Coronavirus Disease-19 (COVID-19) cases within a sewer catchment. However, many wastewater-based epidemiology (WBE) studies have neglected virus decay during the wastewater transportation process in sewers while back-calculating COVID-19 prevalence. Among various sewer condition parameters, wastewater temperature and dilution by fresh/saltwater infiltration may result in a significant change to the virus decay, in terms of both infectivity and Ribonucleic Acid (RNA). This paper reviewed the literature to identify and discuss the effects of temperature and water types (i.e., wastewater, freshwater, and seawater) on coronavirus decay based on the decay rate constants that were collected from published papers. To evaluate the importance of virus decay, a sensitivity analysis was then conducted with decay rates of SARS-CoV-2 RNA based on a WBE back-calculation equation. Finally, the decay rates of coronavirus in wastewater were also compared with those of other viruses to further understand the difference among virus species. The decay of SARS-CoV-2 RNA was found to be less impacted by temperature variation than viable coronaviruses. Nevertheless, WBE back-calculation was still sensitive to the RNA decay rates increased by warm wastewater (i.e., over 26 °C), which could lead to a two-times higher relative variance in estimated COVID-19 prevalence, considering the wastewater temperature variation between 4 and 37 °C in a sewer catchment with a 12-h hydraulic retention time. Comparatively, the sensitivity of the WBE estimation to the enveloped SARS-CoV-2 was greater than nonenveloped enteric viruses, which were less easily degradable in wastewater. In addition, wastewater dilution by stormwater inflow and accompanied cold weather might alleviate the decay of coronavirus infectivity, thus increasing the potential risk of COVID-19 transmission through wastewater. Overall, this paper aims to better understand the impact of in-sewer processes on coronavirus decay and its potential implications for WBE. The outcome could quantitatively inform WBE and improve awareness of the increased risk of COVID-19 infection via wastewater during heavy rainfall events. Given the identified scarcity of data available for coronavirus decay in salt water or with chemical additions, future research on the fate of SARS-CoV-2 subjected to chemical dosing for sewer or wastewater treatment plant operations is recommended. Full article

The inflammatory response is one of the key events in cerebral ischemia, causing secondary brain injury and neuronal death. Studies have shown that the NLRP3 inflammasome is a key factor in initiating the inflammatory response and that Dl-3-n-butylphthalide (NBP) can attenuate the inflammatory response and improve neuronal repair during ischemic stroke. However, whether NBP attenuates the inflammatory response via inhibition of NLRP3 remains unclear. A 90 min middle cerebral artery occlusion was induced in 62 2-month-old adult male ICR mice, and NBP was administered by gavage zero, one, or two days after ischemia. Brain infarct volume, neurological deficits, NLRP3, microglia, and neuronal death were examined in sacrificed mice to explore the correction between NBP effects and NLRP3 expression. NBP significantly reduced infarct volume and attenuated neurological deficits after ischemic stroke compared to controls (p < 0.05). Moreover, it inhibited ASC⁺ microglia activation and NLRP3 and CASP1 expression in ischemic mice. In addition, neuronal apoptosis was reduced in NBP-treated microglia cultures (p < 0.05). Our results indicate that NBP attenuates the inflammatory response in ischemic mouse brains, suggesting that NBP protects against microglia activation via the NLRP3 inflammasome. Full article