5,502 research outputs found

    Adaptation Mechanism and Tolerance of \u3cem\u3eRhodopseudomonas palustris\u3c/em\u3e PSB-S Under Pyrazosulfuron-Ethyl Stress

    Get PDF
    Background: Pyrazosulfuron-ethyl is a long lasting herbicide in the agro-ecosystem and its residue is toxic to crops and other non-target organisms. A better understanding of molecular basis in pyrazosulfuron-ethyl tolerant organisms will shed light on the adaptive mechanisms to this herbicide. Results: Pyrazosulfuron-ethyl inhibited biomass production in Rhodopseudomonas palustris PSB-S, altered cell morphology, suppressed flagella formation, and reduced pigment biosynthesis through significant suppression of carotenoids biosynthesis. A total of 1127 protein spots were detected in the two-dimensional gel electrophoresis. Among them, 72 spots representing 56 different proteins were found to be differently expressed using MALDI-TOF/TOF-MS, including 26 up- and 30 down-regulated proteins in the pyrazosulfuron-ethyl-treated PSB-S cells. The up-regulated proteins were involved predominantly in oxidative stress or energy generation pathways, while most of the down-regulated proteins were involved in the biomass biosynthesis pathway. The protein expression profiles suggested that the elongation factor G, cell division protein FtsZ, and proteins associated with the ABC transporters were crucial for R. palustris PSB-S tolerance against pyrazosulfuron-ethyl. Conclusion: Up-regulated proteins, including elongation factor G, cell division FtsZ, ATP synthase, and superoxide dismutase, and down-regulated proteins, including ALS III and ABC transporters, as well as some unknown proteins might play roles in R. palustris PSB-S adaptation to pyrazosulfuron-ethyl induced stresses. Functional validations of these candidate proteins should help to develope transgenic crops resistant to pyrazosulfuron-ethyl

    A review of artificial intelligence technologies in mineral identification : classification and visualization

    Get PDF
    Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine capable of responding in a manner similar to human intelligence. Research in this area includes robotics, language recognition, image identification, natural language processing, and expert systems. In recent years, the availability of large datasets, the development of effective algorithms, and access to powerful computers have led to unprecedented success in artificial intelligence. This powerful tool has been used in numerous scientific and engineering fields including mineral identification. This paper summarizes the methods and techniques of artificial intelligence applied to intelligent mineral identification based on research, classifying the methods and techniques as artificial neural networks, machine learning, and deep learning. On this basis, visualization analysis is conducted for mineral identification of artificial intelligence from field development paths, research hot spots, and keywords detection, respectively. In the end, based on trend analysis and keyword analysis, we propose possible future research directions for intelligent mineral identification.The National Natural Science Foundation of China.https://www.mdpi.com/journal/jsanElectrical, Electronic and Computer Engineerin

    Phloretin Attenuates Listeria monocytogenes Virulence Both In vitro and In vivo by Simultaneously Targeting Listeriolysin O and Sortase A

    Get PDF
    The critical roles of sortase A (SrtA) and listeriolysin O (LLO) in Listeria monocytogenes pathogenicity render these two virulence factors as ideal targets for the development of anti-virulence agents against L. monocytogenes infection. Additionally, the structures of SrtA and LLO are highly conserved among the members of sortase enzyme family and cholesterol dependent toxin family. Here, phloretin, a natural polyphenolic compound derived from apples and pears that has little anti-L. monocytogenes activity, was identified to simultaneously inhibit LLO expression and neutralize SrtA catalytic activity. Phloretin neutralized SrtA activity by causing a conformational change in the protein's active pocket, which prevented engagement with its substrate. Treatment with phloretin simultaneously reduced L. monocytogenes invasion into host cells and blocked the escape of vacuole-entrapped L. monocytogenes into cytoplasm. Further, L. monocytogenes-infected mice that received phloretin showed lower mortality, decreased bacterial burden and reduced pathological injury. Our results demonstrate that phloretin is a promising anti-infective therapeutic for infections caused by L. monocytogenes due to its simultaneous targeting of SrtA and LLO, which may result in fewer side effects than those caused by other antibiotics

    Efficacy and acceptability of psychological interventions for social anxiety disorder in children and adolescents:a meta-analysis of randomized controlled trials

    Get PDF
    Social anxiety disorder (SAD) is highly prevalent and persistent in children and adolescents. However, evidence for the efficacy and acceptability of psychological interventions for SAD in children and adolescents remains unclear. Seven electronic databases (PubMed, CENTRAL, Embase, Web of Science, PsycINFO, CINAHL, and ProQuest) were searched. Randomized controlled trials (RCTs) that compared psychological interventions for SAD with control conditions in children and adolescents were included. Primary outcomes were the efficacy (mean change in anxiety symptom scores) and acceptability (dropouts for all reasons). Secondary outcomes were remission, quality of life/functional improvement, and depressive symptoms measures. Seventeen RCTs were included in this meta-analysis. Psychological interventions (including cognitive behavioral therapy and behavioral therapy) were significantly more effective than control conditions, with a standardized mean difference (SMD) of − 1.13, and remission with a risk ratio (RR) of 8.99, the number needed to treat was 3.3. There was no statistically significant difference between psychological interventions and control conditions for all-cause dropouts (RR = 1.00). Psychological interventions were superior to control conditions in improving quality of life/functioning (SMD = 0.79) and reducing depressive symptoms (SMD = − 0.39). Given considerable heterogeneity of primary efficacy outcome, a series of subgroup analyses of different variables were conducted. Psychological interventions are probably efficacious in the treatment of SAD among children and adolescents, and may markedly improve quality of life and functioning in this population. However, this finding should be interpreted with caution because of the high heterogeneity of trials and low literature quality. Keywords Child · Adolescent · Psychological intervention · Meta-analysis · Social anxiety disorde
    corecore