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| 1 | Polyphenols and pectin enriched golden kiwifruit (Actinidia chinensis) alleviates high fructose-induced glucolipid disorders and hepatic oxidative damage in rats:in association with improvement of fatty acids metabolism显示文摘This study aimed to investigate the protective effects of fleshes from two Actinidia chinensis(ACF), pericarps from two A. chinensis(ACP), and fleshes with pericarps from two A. chinensis(ACFP)on high fructose(HF)-instigated dyslipidemia, hepatic steatosis, oxidative stress, insulin resistance, and fatty acid metabolism disorders in rats. In general, the above abnormalities were improved after 10 weeks intervention of ACF, ACP, and ACFP. Especially, ACFP considerably ameliorated HF-induced abnormal changes in body weight gain, serum TC, TG, LDL-C and HDL-C levels, as well as serum and hepatic SFAs, MUFAs and PUFAs contents. ACFP also alleviated HF-induced hyperglycemia and hyperinsulinemia, stabilized HF-caused increase in hepatic MDA and serum ALT, AST levels, and restored HF-declined hepatic T-SOD and GSH-Px activities. Besides, histopathology of the liver further endorsed the protective effects of ACFP on hepatocellular injury. Moreover, ACFP increased HF-dropped acetic, propionic and butyric acid levels. Overall, ACFP employs more efficacious protective effects against HF-induced metabolic disorders and liver damage than ACF and ACP. This study delivers a scientific foundation for developing kiwifruit(counting peel)-based dietary supplements for those with glucolipid-metabolic disorders and liver damage. | Aamina Alim Ting Li Tanzeela Nisar Zeshan Ali Daoyuan Ren Yueyue Liu Xingbin Yang | 2023 | Food Science and Human Wellness2023，12，5： | 0 |
| 2 | 水稻花粉小肽锌指蛋白基因OsFLZ13功能研究显示文摘FCS样锌指蛋白(FLZ)与植物的生长发育和逆境胁迫反应相关。水稻的FLZ基因家族分析和功能研究较少。本研究利用TBtools对水稻基因组Blast,鉴定到29个OsFLZ家族基因成员,并分析了相关基因位置、基因结构、motif和启动子顺式作用元件等特征。随后,通过水稻CREP数据库研究了FLZ家族成员的全生育期组织表达模式,并发现其中的OsFLZ13基因在开花前的花药中特异高水平表达。随后β-D-葡萄糖苷酸酶(GUS)染色显示,OsFLZ13在花药发育的第8阶段开始表达,并在开花前的第14阶段表达量最高。用CRISPR/Cas9基因编辑获得的突变体植株结实率显著下降。相比野生型中花11的94%结实率,Osflz13-1和Osflz13-2的结实率分别只有44%和36%。本研究表明OsFLZ13参与花药发育以及花粉育性的调控,为进一步研究该基因及其家族基因的功能提供参考,同时对水稻雄性不育利用具有潜在的价值。 | 张丽洁 周海宇 MUHAMMAD Zeshan MUNSIF Ali Shad 杨明冲 李波 韩世健 张翠翠 胡利华 王令强 | 2024 | 作物学报2024，50，3： | 0 |
| 3 | Hydrological response under CMIP6 climate projection in Astore River Basin,Pakistan显示文摘Climate change strongly influences the available water resources in a watershed due to direct linkage of atmospheric driving forces and changes in watershed hydrological processes.Understanding how these climatic changes affect watershed hydrology is essential for human society and environmental processes.Coupled Model Intercomparison Project phase 6(CMIP6)dataset of three GCM's(BCC-CSM2-MR,INM-CM5-0,and MPIESM1-2-HR)with resolution of 100 km has been analyzed to examine the projected changes in temperature and precipitation over the Astore catchment during 2020-2070.Bias correction method was used to reduce errors.In this study,statistical significance of trends was performed by using the Man-Kendall test.Sen's estimator determined the magnitude of the trend on both seasonal and annual scales at Rama Rattu and Astore stations.MPI-ESM1-2-HR showed better results with coefficient of determination(COD)ranging from 0.70-0.74 for precipitation and 0.90-0.92 for maximum and minimum temperature at Astore,Rama,and Rattu followed by INM-CM5-0 and BCC-CSM2-MR.University of British Columbia Watershed model was used to attain the future hydrological series and to analyze the hydrological response of Astore River Basin to climate change.Results revealed that by the end of the 2070s,average annual precipitation is projected to increase up to 26.55%under the SSP1-2.6,6.91%under SSP2-4.5,and decrease up to 21.62%under the SSP5-8.5.Precipitation also showed considerable variability during summer and winter.The projected temperature showed an increasing trend that may cause melting of glaciers.The projected increase in temperature ranges from-0.66℃ to 0.50℃,0.9℃ to 1.5℃ and 1.18℃ to 2℃ under the scenarios of SSP1-2.6,SSP2-4.5 and SSP5-8.5,respectively.Simulated streamflows presented a slight increase by all scenarios.Maximum streamflow was generated under SSP5-8.5 followed by SSP2-4.5 and SSP1-2.6.The snowmelt and groundwater contributions to streamflow have decreased whereas rainfall and glacier melt components have increased on the other hand.The projected streamflows(2020-2070)compared to the control period(1990-2014)showed a reduction of 3%-11%,2%-9%,and 1%-7%by SSP1-2.6,SSP2-4.5,and SSP5-8.5,respectively.The results revealed detailed insights into the performance of three GCMs,which can serve as a blueprint for regional policymaking and be expanded upon to establish adaption measures. | Zeshan ALI Mudassar IQBAL Ihsan Ullah KHAN Muhammad Umer MASOOD Muhammad UMER Muhammad Usama Khan LODHI Muhammad Atiq Ur Rehman TARIQ | 2023 | Journal of Mountain Science2023，20，8： | 0 |
| 4 | Antagonistic Potential of Bacterial Species against Fungal Plant Pathogens(FPP)and Their Role in Plant Growth Promotion(PGP):A Review显示文摘Since the 19th century to date,the fungal pathogens have been involved in causing devastating diseases in plants.All types of fungal pathogens have been observed in important agricultural crops that lead to significant pre and postharvest losses.The application of synthetic fungicide against the fungal plant pathogens(FPP)is a traditional management practice but at the same time these fungicides kill other beneficial microbes,insects,animal,and humans and are harmful to environment.The antagonistic microorganism such as bacteria are being used as an alternate strategy to control the FPP.These antagonistic species are cost-effective and eco-friendly in nature.These biocontrol bacteria have a broad mechanism against fungal pathogens present in the phyllosphere and rhizosphere of the plant.The antagonistic bacteria have different strategies against the FPP,by producing siderophore,biofilm,volatile organic compounds(VOCs),through parasitism,antibiosis,competition for limited resources and induce systemic resistance(ISR)in the host plant by activating the immune systems.The commercial bio-products synthesized by the major bacterial species Pseudomonas syringae,Burkholderia cepacia,Streptomyces griseoviridis,Pseudomonas fluorescens and Bacillus subtilis are used to control Fusarium,Pythium,Rhizoctonia,Penicillium,Alternaria,and Geotrichum.The commercial bio-formulations of bacteria act as both antifungal and plant growth regulators.The Plant growth-promoting rhizobacteria(PGPR)played a significant role in improving plant health by nitrogen-fixing,phosphorus solubilization,phytohormones production,minimizing soil metal contamination,and by ACC deaminase antifungal activities.Different articles are available on the specific antifungal activity of bacteria in plant diseases.Therefore,this review article has summarized the information on biocontrol activity of bacteria against the FPP and the role of PGPR in plant growth promotion.This review also provided a complete picture of scattered information regarding antifungal activities of bacteria and the role of PGPR. | Amjad Ali Yasir Iftikhar Mustansar Mubeen Haider Ali Muhammad Ahmad Zeshan Zohaib Asad Muhammad Zafar-ul-Hye Malik Abdul Rehman Mazhar Abbas Muhammad Rafique Muhammad Usman Ghani | 2022 | Phyton-International Journal of Experimental Botany2022，91，9： | 0 |
| 5 | A Genetic Based Leader Election Algorithm for IoT Cloud Data Processing显示文摘In IoT networks,nodes communicate with each other for computational services,data processing,and resource sharing.Most of the time huge data is generated at the network edge due to extensive communication between IoT devices.So,this tidal data is transferred to the cloud data center(CDC)for efficient processing and effective data storage.In CDC,leader nodes are responsible for higher performance,reliability,deadlock handling,reduced latency,and to provide cost-effective computational services to the users.However,the optimal leader selection is a computationally hard problem as several factors like memory,CPU MIPS,and bandwidth,etc.,are needed to be considered while selecting a leader amongst the set of available nodes.The existing approaches for leader selection are monolithic,as they identify the leader nodes without taking the optimal approach for leader resources.Therefore,for optimal leader node selection,a genetic algorithm(GA)based leader election(GLEA)approach is presented in this paper.The proposed GLEA uses the available resources to evaluate the candidate nodes during the leader election process.In the first phase of the algorithm,the cost of individual nodes,and overall cluster cost is computed on the bases of available resources.In the second phase,the best computational nodes are selected as the leader nodes by applying the genetic operations against a cost function by considering the available resources.The GLEA procedure is then compared against the Bees Life Algorithm(BLA).The experimental results show that the proposed scheme outperforms BLA in terms of execution time,SLA Violation,and their utilization with state-of-the-art schemes. | Samira Kanwal Zeshan Iqbal Aun Irtaza Rashid Ali Kamran Siddique | 2021 | Computers, Materials & Continua2021，，8： | 0 |
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