ABSTRACT
Our study presents the assembly of a high-quality Taihu goose genome at the Telomere-to-Telomere (T2T) level. By employing advanced sequencing technologies, including Pacific Biosciences HiFi reads, Oxford Nanopore long reads, Illumina short reads, and chromatin conformation capture (Hi-C), we achieved an exceptional assembly. The T2T assembly encompasses a total length of 1,197,991,206 bp, with contigs N50 reaching 33,928,929 bp and scaffold N50 attaining 81,007,908 bp. It consists of 73 scaffolds, including 38 autosomes and one pair of Z/W sex chromosomes. Importantly, 33 autosomes were assembled without any gap, resulting in a contiguous representation. Furthermore, gene annotation efforts identified 34,898 genes, including 436,162 RNA transcripts, encompassing 806,158 exons, 743,910 introns, 651,148 coding sequences (CDS), and 135,622 untranslated regions (UTR). The T2T-level chromosome-scale goose genome assembly provides a vital foundation for future genetic improvement and understanding the genetic mechanisms underlying important traits in geese.
Subject(s)
Geese , Genome , Telomere , Animals , Geese/genetics , Telomere/genetics , Molecular Sequence AnnotationABSTRACT
The primary aim of this study was to conduct a methodical examination and assessment of the prognostic efficacy exhibited by magnetic resonance imaging (MRI)-derived radiomic models concerning the preoperative prediction of lymph-vascular space infiltration (LVSI) in cervical cancer cases. A comprehensive and thorough exploration of pertinent academic literature was undertaken by two investigators, employing the resources of the Embase, PubMed, Web of Science, and Cochrane Library databases. The scope of this research was bounded by a publication cutoff date of May 15, 2023. The inclusion criteria encompassed studies that utilized radiomic models based on MRI to prognosticate the accuracy of preoperative LVSI estimation in instances of cervical cancer. The Diagnostic Accuracy Studies-2 framework and the Radiomic Quality Score metric were employed. This investigation included nine distinct research studies, enrolling a total of 1,406 patients. The diagnostic performance metrics of MRI-based radiomic models in the prediction of preoperative LVSI among cervical cancer patients were determined as follows: sensitivity of 83% (95% confidence interval [CI]=77%-87%), specificity of 74% (95% CI=69%-79%), and a corresponding AUC of summary receiver operating characteristic measuring 0.86 (95% CI=0.82-0.88). The results of the synthesized meta-analysis did not reveal substantial heterogeneity.This meta-analysis suggests the robust diagnostic proficiency of the MRI-based radiomic model in the prognostication of preoperative LVSI within the cohort of cervical cancer patients. In the future, radiomics holds the potential to emerge as a widely applicable noninvasive modality for the early detection of LVSI in the context of cervical cancer.
ABSTRACT
This study aims to refine clinical designs within clear aligner therapy, exploring the appropriate ratio of anterior tooth retraction to intrusion under maximum anchorage. Using a three-dimensional finite element model and evaluating 19 load scenarios with first premolar extraction, the research identifies the optimal force angle for anterior tooth retraction as 45 to 55°. For clinical planning, it is recommended to design a retraction of 0.19 mm combined with an intrusion of 0.16 mm to achieve anterior tooth retraction. This investigation is crucial for enhancing understanding of biomechanical principles in clear aligner orthodontics, offering significant insights for effective treatments.
Subject(s)
Finite Element Analysis , Tooth Movement Techniques , Humans , Tooth Movement Techniques/methods , Biomechanical Phenomena , Bicuspid/physiology , Orthodontic Appliance Design , Imaging, Three-DimensionalABSTRACT
A substantial body of empirical evidence suggests that anthropogenic disturbance can affect the structure and function of grassland ecosystems. Despite this, few studies have elucidated the mechanisms through which grazing and mowing, the two most widespread land management practices, affect the stability of natural grassland communities. In this study, we draw upon 9 years of field data from natural grasslands in northern China to investigate the effects of gazing and mowing on community stability, specifically focusing on community aboveground net primary productivity (ANPP) and dominance, which are two major biodiversity mechanisms known to characterize community fluctuations. We found that both grazing and mowing reduced ANPP in comparison to areas enclosed by fencing. Grazing reduced community stability by increasing the likelihood of single-species dominance and decreasing the relative proportion of nondominant species. In contrast, mowing reduced the productivity of the dominant species but increased the productivity of nondominant species. As a consequence, mowing improved the overall community stability by increasing the stability of nondominant species. Our study provides novel insight into understanding of the relationship between community species fluctuation-stability, with implications for ecological research and ecosystem management in natural grasslands.
Subject(s)
Grassland , China , Animals , Herbivory , Biodiversity , Conservation of Natural ResourcesABSTRACT
Livestock grazing strongly influences the accumulation of soil organic carbon (SOC) in grasslands. However, whether the changes occurring in SOC content under different intensities of continuous summer long grazing are associated with the changes in microbially-derived necromass C remains unclear. Here, we established a sheep grazing experiment in northern China in 2004 with four different stocking rates. Soil samples were collected after 17 years of grazing and analyzed for physical, chemical, and microbial characteristics. Grazing decreased SOC and microbial necromass carbon (MNC). Notably, grazing also diminished contributions of MNC to SOC. MNC declined with decreasing plant carbon inputs with degradation of the soil environment. Direct reductions in microbial necromass C, which indirectly reduced SOC, resulted from reduced in plant C inputs and microbial abundance and diversity. Our study highlights the key role of stocking rate in governing microbial necromass C and SOC and the complex relationships these variables.
Subject(s)
Grassland , Soil , Animals , Sheep , Soil/chemistry , Carbon/analysis , Seasons , Nitrogen/analysis , Plants , China , Soil MicrobiologyABSTRACT
Aldo-keto reductase-7A (AKR7A) subfamily belongs to the AKR superfamily and is associated with detoxification of aldehydes and ketones by reducing them to the corresponding alcohols. So far five members of ARK7A subfamily are identified: two human members-AKR7A2 and AKR7A3, two rat members-AKR7A1 and AKR7A4, and one mouse member-AKR7A5, which are implicated in several diseases including neurodegenerative diseases and cancer. AKR7A members share similar crystal structures and protein functional domains, but have different substrate specificity, inducibility and biological functions. This review will summarize the research progress of AKR7A members in substrate specificity, tissue distribution, inducibility, crystal structure and biological function. The significance of AKR7A members in the occurrence and development of diseases will also be discussed.
Subject(s)
Aldehyde Reductase , Liver , Rats , Mice , Animals , Humans , Aldo-Keto Reductases/metabolism , Liver/metabolism , Aldehyde Reductase/metabolism , Alcohol Oxidoreductases/metabolism , Substrate SpecificityABSTRACT
BACKGROUND: Hypericum perforatum L. (HPL) is a potential traditional Chinese medicine. It could promotes menopausal 'kidney-yin deficiency syndrome' that characterized by renal function decline. However, its potential pharmacological effect and mechanism remains unknown. OBJECTIVE: The aim of this study was to investigate whether HPL can improve menopausal renal function decline and to explore its mechanism of action. METHODS: The mainly ingredients of HPL were identified using UPLC-Q-TOF-MS/MS approach, and the potential therapeutic targets of HPL for renal function decline were chose via network pharmacology technique. The key therapeutic metabolites were selected through non-targeted metabolomic and chemometric methods. Then, the network were constructed and the key targets and metabolites were screened. At last, the validation experiments and mechanism exploring were adopted by using Immunofluorescence, enzyme-linked immunosorbent assay (ELISA), real-time PCR (RT-PCR), and western blotting assays. RESULTS: mainly ingredients of HPL were identified and determined 17 compounds and 29 targets were chose as mainly active compounds and potential therapeutic targets. Based on OVX induced renal decline rat model, after chemometric analysis, 59 endo-metabolites were selected as key therapeutic metabolites, and AGE-RAGE signal pathway in diabetes complications was enriched as the key pathway. By constructing a "disease-component-target" network, Hyperoside, Quercetrin, and quinic were selected as the key therapeutic compounds, and the AKT1 and NOS3 were selected as the key therapeutic targets. The results of ELISA, RT-PCR and western blot experiments indicated that HPL could rescue the abnormal expressions both of AKT1 and NOS3, as well as their related metabolites distortion. CONCLUSION: Our findings indicated that HPL regulated expression of AKT1 and NOS3 through modulating AGE-RAGE signaling pathway in OVX stimulated rats` renal dysfunction, implicating the potential values of HPL in menopause syndromes therapy.
Subject(s)
Antineoplastic Agents , Drugs, Chinese Herbal , Hypericum , Female , Humans , Animals , Rats , Tandem Mass Spectrometry , Metabolomics , Kidney , Ovariectomy , Plant Oils , Molecular Docking Simulation , Proto-Oncogene Proteins c-akt , Nitric Oxide Synthase Type IIIABSTRACT
BACKGROUND: Improving the egg production of goose is a crucial goal of breeding, because genetics is the key factor affecting egg production. Thus, we sequenced the genomes of 55 Chinese indigenous geese from six breeds, which were divided into the high egg-laying group (ZE, HY, and SC) and low egg-laying group (ZD, LH, and ST). Based on the results of the inter-population selection signal analysis, we mined the selected genome regions in the high egg-laying germplasm population to identify the key candidate genes affecting the egg-laying traits. RESULTS: According to the whole-genome sequencing data, the average sequencing depth reached 11.75X. The genetic relationships among those six goose breeds coincided with the breed's geographical location. The six selective signal detection results revealed that the most selected regions were located on Chr2 and Chr12. In total, 12,051 single-nucleotide polymorphism (SNP) sites were selected in all six methods. Using the enrichment results of candidate genes, we detected some pathways involved in cell differentiation, proliferation, and female gonadal development that may cause differences in egg production. Examples of these pathways were the PI3K-Akt signaling pathway (IGF2, COMP, and FGFR4), animal organ morphogenesis (IGF2 and CDX4), and female gonad development (TGFB2). CONCLUSION: On analyzing the genetic background of six local goose breeds by using re-sequencing data, we found that the kinship was consistent with their geographic location. 107 egg-laying trait-associated candidate genes were mined through six selection signal analysis. Our study provides a critical reference for analyzing the molecular mechanism underlying differences in reproductive traits and molecular breeding of geese.
Subject(s)
Geese , Phosphatidylinositol 3-Kinases , Animals , Female , Geese/genetics , Phosphatidylinositol 3-Kinases/genetics , Oviposition , Genome , Polymorphism, Single NucleotideABSTRACT
The prevention of aseptic loosening and peri-implantitis is crucial for the success of dental implant surgery. In this study, different doses of Ag-implanted TiN/Ag nanomultilayers were prepared on the sandblasting with large grit and acid etching (SLA)-Ti surface using a multiarc ion-plating system and an ion-implantation system, respectively. The physical and chemical properties of the samples were assessed using various techniques, including scanning electron microscopy, energy-dispersive spectroscopy, X-ray diffraction, X-ray photoelectron spectroscopy, atomic force microscopy, inductively coupled plasma atomic emission spectrometry, and water contact angle measurements. In addition, the applicability and biosafety of the SLA/1 × 1017-Ag and SLA/1 × 1018-Ag surfaces were determined via biocompatibility testing in vivo and in vitro. The results demonstrated that the physical and chemical properties of SLA/1 × 1017-Ag and SLA/1 × 1018-Ag surfaces were different to some extent. However, compared with SLA-Ti, silver-loaded TiN/Ag-modified SLA-Ti surfaces (SLA/1 × 1018-Ag) with enhanced bacteriostatis, osteogenesis, and biocompatibility have great potential for dental applications.
ABSTRACT
Soil aggregates contain distinct physio-chemical properties across different size classes. These differences in micro-habitats support varied microbial communities and modulate the effect of plant on microbiome, which affect soil functions such as disease suppression. However, little is known about how the residents of different soil aggregate size classes are impacted by plants throughout their growth stages. Here, we examined how tomato plants impact soil aggregation and bacterial communities within different soil aggregate size classes. Moreover, we investigated whether aggregate size impacts the distribution of soil pathogen and their potential inhibitors. We collected samples from different tomato growth stages: before-planting, seedling, flowering, and fruiting stage. We measured bacterial density, community composition, and pathogen abundance using qPCR and 16 S rRNA gene sequencing. We found the development of tomato growth stages negatively impacted root-adhering soil aggregation, with a gradual decrease of large macro-aggregates (1-2 mm) and an increase of micro-aggregates (<0.25 mm). Additionally, changes in bacterial density and community composition varied across soil aggregate size classes. Furthermore, the pathogen exhibited a preference to micro-aggregates, while macro-aggregates hold a higher abundance of potential pathogen-inhibiting taxa and predicted antibiotic-associated genes. Our results indicate that the impacts of tomatoes on soil differ for different soil aggregate size classes throughout different plant growth stages, and plant pathogens and their potential inhibitors have different habitats within soil aggregate size classes. These findings highlight the importance of fine-scale heterogeneity of soil aggregate size classes in research on microbial ecology and agricultural sustainability, further research focuses on soil aggregates level could help identify candidate tax involved in suppressing pathogens in the virtual micro-habitats.
ABSTRACT
Background. Creating a clinically acceptable plan in the time-sensitive clinic workflow of brachytherapy is challenging. Deep learning-based dose prediction techniques have been reported as promising solutions with high efficiency and accuracy. However, current dose prediction studies mainly target EBRT which are inappropriate for brachytherapy, the model designed specifically for brachytherapy has not yet well-established.Purpose. To predict dose distribution in brachytherapy using a novel Squeeze and Excitation Attention Net (SE_AN) model.Method. We hypothesized the tracks of192Ir inside applicators are essential for brachytherapy dose prediction. To emphasize the applicator contribution, a novel SE module was integrated into a Cascaded UNet to recalibrate informative features and suppress less useful ones. The Cascaded UNet consists of two stacked UNets, with the first designed to predict coarse dose distribution and the second added for fine-tuning 250 cases including all typical clinical applicators were studied, including vaginal, tandem and ovoid, multi-channel, and free needle applicators. The developed SE_AN was subsequently compared to the classic UNet and classic Cascaded UNet (without SE module) models. The model performance was evaluated by comparing the predicted dose against the clinically approved plans using mean absolute error (MAE) of DVH metrics, includingD2ccandD90%.Results. The MAEs of DVH metrics demonstrated that SE_AN accurately predicted the dose with 0.37 ± 0.25 difference for HRCTVD90%, 0.23 ± 0.14 difference for bladderD2cc, and 0.28 ± 0.20 difference for rectumD2cc. In comparison studies, UNet achieved 0.34 ± 0.24 for HRCTV, 0.25 ± 0.20 for bladder, 0.25 ± 0.21 for rectum, and Cascaded UNet achieved 0.42 ± 0.31 for HRCTV, 0.24 ± 0.19 for bladder, 0.23 ± 0.19 for rectum.Conclusion. We successfully developed a method specifically for 3D brachytherapy dose prediction. Our model demonstrated comparable performance to clinical plans generated by experienced dosimetrists. The developed technique is expected to improve the standardization and quality control of brachytherapy treatment planning.
Subject(s)
Brachytherapy , Deep Learning , Hypobetalipoproteinemias , Female , Humans , Pelvis , BenchmarkingABSTRACT
Overgrazing-induced grassland degradation has become a serious ecological problem worldwide. The diversity and composition of soil microbial communities are sensitive to grazing disturbances. However, our understanding is limited with respect to the effects of grazing intensity on bacterial and fungal communities, especially in plant rhizosphere. Using a long-term grazing experiment, we evaluated the diversity and composition of microbial communities in both rhizosphere and non-rhizosphere soils under three grazing intensities (light, moderate, and heavy grazing) in a desert grassland and examined the relative roles of grazing-induced changes in some abiotic and biotic factors in affecting the diversity and composition of microbial communities. Our results showed that soil bacteria differed greatly in diversity and composition between rhizosphere and non-rhizosphere zones, and so did soil fungi. Moderate and heavy grazing significantly reduced the rhizosphere bacterial diversity. Grazing intensity substantially altered the bacterial composition and the fungal composition in both zones but with different mechanisms. While root nitrogen and soil nitrogen played an important role in shaping the rhizosphere bacterial composition, soil-available phosphorus greatly affected the non-rhizosphere bacterial composition and the fungal composition in both soils. This study provides direct experimental evidence that the diversity and composition of microbial communities were severely altered by heavy grazing on a desert grassland. Thus, to restore the grazing-induced, degraded grasslands, we should pay more attention to the conservation of soil microbes in addition to vegetation recovery.
ABSTRACT
Prebiotics are compounds that selectively stimulate the growth and activity of beneficial microorganisms. The use of prebiotics is a well-established strategy for managing human gut health. This concept can also be extended to plants where plant rhizosphere microbiomes can improve the nutrient acquisition and disease resistance. However, we lack effective strategies for choosing metabolites to elicit the desired impacts on plant health. In this study, we target the rhizosphere of tomato (Solanum lycopersicum) suffering from wilt disease (caused by Ralstonia solanacearum) as source for potential prebiotic metabolites. We identify metabolites (ribose, lactic acid, xylose, mannose, maltose, gluconolactone, and ribitol) exclusively used by soil commensal bacteria (not positively correlated with R. solanacearum) but not efficiently used by the pathogen in vitro. Metabolites application in the soil with 1 µmol g-1 soil effectively protects tomato and other Solanaceae crops, pepper (Capsicum annuum) and eggplant (Solanum melongena), from pathogen invasion. After adding prebiotics, the rhizosphere soil microbiome exhibits enrichment of pathways related to carbon metabolism and autotoxin degradation, which were driven by commensal microbes. Collectively, we propose a novel pathway for mining metabolites from the rhizosphere soil and their use as prebiotics to help control soil-borne bacterial wilt diseases.
Subject(s)
Ralstonia solanacearum , Solanum lycopersicum , Solanum melongena , Humans , Prebiotics , Rhizosphere , Soil , Plant Diseases/prevention & control , Plant Diseases/microbiology , Bacteria , Ralstonia solanacearum/metabolismABSTRACT
OBJECTIVE: The objective of this research was to analyze the prognostic significance of the minimum count of lymphocytes (LY) and the corresponding ratio of neutrophil-to-lymphocyte (NLR) in cervical cancer (CC) patients receiving radiotherapy. METHODS: We retrospectively collected data from 202 CC patients who received concurrent chemoradiotherapy or radiotherapy alone at our hospital. Statistical methods including the Kaplan-Meier method, log-rank test and the Cox proportional hazards model were included to examine survival differences and identify independent factors that may affect overall survival (OS) and progression-free survival (PFS). RESULTS: The research enrolled a total of 202 patients. Patients with higher LY levels and lower NLR values during radiotherapy had significantly better survival prognosis than those with lower LY levels and higher NLR values. Multivariate COX regression analysis revealed that FIGO stage I, pathological types of SqCC, absence of lymph node metastasis, concurrent chemoradiotherapy, higher LY levels during radiotherapy, and lower NLR values before radiotherapy were independently associated with poorer PFS. Similarly, FIGO stage I, absence of lymph node metastasis and lower NLR values during and before radiotherapy were independently linked with poorer OS. CONCLUSION: Minimum LY value and its corresponding NLR during radiotherapy serve as prognostic factors for CC.
Subject(s)
Neutrophils , Uterine Cervical Neoplasms , Female , Humans , Neutrophils/pathology , Uterine Cervical Neoplasms/radiotherapy , Uterine Cervical Neoplasms/pathology , Retrospective Studies , Lymphatic Metastasis/pathology , Lymphocytes/pathology , Prognosis , Lymphocyte CountABSTRACT
Rhizome rot is one of the main disease in the cultivation of Polygonatum cyrtonema, and it is also a global disease which seriously occurs on the perennial medicinal plants such as Panax notoginseng and P. ginseng. There is no effective control method at present. To identify the effects of three biocontrol microbes(Penicillium oxalicum QZ8, Trichoderma asperellum QZ2, and Brevibacillus amyloliquefaciens WK1) on the pathogens causing rhizome rot of P. cyrtonema, this study verified six suspected pathogens for their pathogenicity on P. cyrtonema. The result showed that Fusarium sp. HJ4, Colletotrichum sp. HJ4-1, and Phomopsis sp. HJ15 were the pathogens of rhizome rot of P. cyrtonema, and it was found for the first time that Phomopsis sp. could cause rhizome rot P. cyrtonema. Furthermore, the inhibitory effects of biocontrol microbes and their secondary metabolites on three pathogens were determined by confrontation culture. The results showed that the three tested biocontrol microbes significantly inhibited the growth of three pathogens. Moreover, the secondary metabolites of T. asperellum QZ2 and B. amyloliquefaciens WK1 showed significant inhibition against the three pathogens(P<0.05), and the effect of B. amyloliquefaciens WK1 sterile filtrate was significantly higher than that of high tempe-rature sterilized filtrate(P<0.05). B. amyloliquefaciens WK1 produced antibacterial metabolites to inhibit the growth of pathogens, and the growth inhibition rate of its sterile filtrate against three pathogens ranged from 87.84% to 93.14%. T. asperellum QZ2 inhibited the growth of pathogens through competition and antagonism, and P. oxalicum QZ8 exerted the inhibitory effect through competition. The research provides new ideas for the prevention and treatment of rhizome rot of P. cyrtonema and provides a basis for the di-sease control in other crops.
Subject(s)
Polygonatum , RhizomeABSTRACT
The gut microbiome of plant-eaters is affected by the food they eat, but it is currently unclear how the plant metabolome and microbiome are influenced by the substrate the plant grows in and how this subsequently impacts the feeding behavior and gut microbiomes of insect herbivores. Here, we use Plutella xylostella caterpillars and show that the larvae prefer leaves of cabbage plants growing in a vermiculite substrate to those from plants growing in conventional soil systems. From a plant metabolomics analysis, we identified 20 plant metabolites that were related to caterpillar feeding performance. In a bioassay, the effects of these plant metabolites on insects' feeding were tested. Nitrate and compounds enriched with leaves of soilless cultivation promoted the feeding of insects, while compounds enriched with leaves of plants growing in natural soil decreased feeding. Several microbial groups (e.g., Sporolactobacillus, Haliangium) detected inside the plant correlated with caterpillar feeding performance and other microbial groups, such as Ramlibacter and Methylophilus, correlated with the gut microbiome. Our results highlight the role of growth substrates on the food metabolome and microbiome and on the feeding performance and the gut microbiome of plant feeders. It illustrates how belowground factors can influence the aboveground properties of plant-animal systems, which has important implications for plant growth and pest control.
Subject(s)
Herbivory , Insecta , Animals , Larva , Feeding Behavior , Soil , Plant Leaves/metabolismABSTRACT
This study aimed to evaluate the correlation between the pre-treatment peripheral platelet-to-lymphocyte ratio (PLR) and the prognostic nutritional index (PNI) with the efficacy and prognosis of radiotherapy for cervical cancer. A total of 110 patients with cervical cancer who received radiotherapy at our hospital from November 2017 to November 2020 were retrospectively analysed. The cut-off values of PLR and PNI were obtained using the receive operating characteristic curve (ROC) and the Youden index. The patients were divided into high PLR and low PLR and high PNI and low PNI groups. We compared the clinical characteristics, 3-year overall survival (OS), and progression-free survival (PFS) between the high and low PLR groups, as well as the high and low PNI groups of patients. Cox regression was used to analyse the factors influencing OS and PFS. The median follow-up duration was 26 months. The optimal cut-off value for PLR was 186.88 and that for PNI was 47.35. The 3-year OS values were 81.00% and 97.10% for the high PLR (PLR > 186.88) and low PLR (PLR ≤ 186.88) groups, respectively, and the 3-year PFS values were 59.50% and 88.20% for the high PLR and low PLR groups, respectively, with statistically significant differences (p < 0.05). The 3-year OS values were 97.50% and 74.20% for the high PNI (PNI > 47.35) and the low PNI (PNI ≤ 47.35) groups, respectively, and the 3-year PFS values were 87.30% and 51.60% for the high PNI and low PNI groups, respectively, with statistically significant differences (p < 0.05). Multifactorial Cox regression analyses revealed that high PLR value (PLR > 187.88), low PNI value (PNI ≤ 47.35), histological type, and FIGO stage were independent risk factors for the OS of cervical cancer. Pretreatment PNI values and PLR values can be used as simple and feasible predictors of clinical efficacy and prognosis for patients treated with radiotherapy for cervical cancer.
Subject(s)
Nutrition Assessment , Uterine Cervical Neoplasms , Female , Humans , Prognosis , Retrospective Studies , Uterine Cervical Neoplasms/radiotherapy , Lymphocyte Count , LymphocytesABSTRACT
The low bactericidal activity and poor osteogenic activity of Ti limit the use of this metal in dental implants by increasing the risk of their periimplantitis-induced failure. To address this problem, we herein surface-modify biomedical Ti through the plasma immersion coimplantation of Mg and Cu ions and examine the physicochemical properties and bio-/hemocompatibility of the resulting materials as well as their activity against periimplantitis-causing bacteria, namely Streptococcus mutans and Porphyromonas gingivalis. The reactive oxygen species release (ROS) was assessed via the 2'7'-dichlorodihydrofluorescein diacetate (DCFH-DA) assay. The best-performing sample Mg/Cuï¼8/10ï¼-Ti promotes cell proliferation and initial cell adhesion while exhibiting high hydrophilicity, outstanding activity against the aforementioned pathogens, and good bio-/hemocompatibility. Additionally, higher levels of cellular ROS generation in S. mutans and P. gingivalis could provide insight into the antibacterial mechanisms involved in Mg/Cuï¼8/10ï¼-Ti. Thus, Mg/Cu coimplantation is concluded to endow the Ti surface with high bacteriostatic activity and biocompatibility, paving the way to the widespread use of Ti-based dental implants.
Subject(s)
Dental Implants , Peri-Implantitis , Humans , Surface Properties , Titanium/chemistry , Reactive Oxygen Species , Anti-Bacterial Agents/pharmacology , Streptococcus mutansABSTRACT
The 'Grain-for-Green' program in China provides a valuable opportunity to investigate whether spontaneous restoration can reverse the deterioration of grassland ecosystem functions. Previous studies have focused on individual ecosystem functions, but the response of and mechanisms driving variation in ecosystem multifunctionality (EMF) during restoration are poorly understood. Here, we quantified EMF using productivity, nutrient cycling, and water regulation functions along abandoned croplands in a recovery chronosequence (5, 15 and 20 years) and in natural grasslands in the desert steppe and typical steppe. We also analyzed the effects of plant and microbial diversity and an abiotic factor (soil pH) on EMF. Our results showed that EMF increased gradually concomitant with recovery time, shifting toward EMF values comparable to those in natural grasslands in both desert and typical steppe. Similar results were found for the productivity function, the water regulation function, and soil organic carbon. However, even after 20 years of restoration, EMF did not reach the levels observed in natural grasslands. Structural equation modeling showed that the driving mechanisms of EMF differed between the two steppe types. Specifically, in the desert steppe, plant diversity, especially the diversity of perennial graminoids and perennial herbs, had a positive effect on EMF, but in the typical steppe, soil bacterial diversity had a negative effect, while soil pH had a positive effect on EMF. Our results demonstrated that spontaneous grassland restoration effectively enhanced EMF, and emphasized the importance of biodiversity and soil pH in regulating EMF during secondary succession. This work provides important insights for grassland ecosystem management in arid and semi-arid regions.
Subject(s)
Ecosystem , Soil , Soil/chemistry , Carbon/analysis , Biodiversity , China , Water , Crops, Agricultural , Hydrogen-Ion Concentration , GrasslandABSTRACT
Mowing for hay is an important land use in grasslands that is affected by precipitation variability, due to the water-limited nature of these ecosystems. Past land use and precipitation conditions can have legacy effects on ecosystem functions, potentially altering responses to both mowing and precipitation. Nonetheless, it is still unclear how natural variation in precipitation will affect plant responses to changes in mowing intensity. We conducted a seven-year field experiment with three mowing intensity treatments compared to the traditional mowing intensity (5 cm stubble height) as a control: increased mowing (2 cm stubble), decreased mowing (8 cm stubble) and ceased mowing. Decreased mowing increased both plant aboveground net primary productivity [ANPP] and forage yield across the whole community, driven by increases in graminoids, mainly owing to the positive response of plants to precipitation. Both mowing disturbance and precipitation variability had legacy effects on plant ANPP; however, these responses differed among the whole community, graminoid, and forb levels. Current-year community-wide ANPP [ANPPn] was positively associated with current-year precipitation [PPTn] in all mowing treatments, driven by positive precipitation responses of the dominant graminoids. For forbs, however, ANPPn was negatively associated with prior-year growing season precipitation [PPTn-1] across mowing treatments, potentially due to lagged competition with the dominant graminoids. Our results suggest that the response of the dominant graminoids is the primary factor determining the response of ANPP to mowing and precipitation variability in these grassland ecosystems, and highlight that decreasing mowing intensity may maximize both herder's income and grassland sustainability.