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Proteome analysis of alfalfa roots in response to water deficit stress

Journal of Integrative Agriculture 2016年第6期15卷 1275-1285页

作者： Rahman Md Atikur Kim Yong-Goo alam iftekhar LIU Gong-she Lee Hyoshin Lee Jeung Joo Lee Byung-Hyun Division of Applied Life Sciences (BK21Plus) Institute of Agriculture & Life Sciences (IALS) Gyeongsang National University Jinju 660-701 Republic of Korea Institute of Botany Chinese Academy of Sciences Beijing 100093 P.R.China National Institute of Biotechnology Dhaka-1349 Bangladesh Division of Forest Biotechnology Korea Forest Research Institute Suwon 441-847 Republic of Korea Department of Applied Biology Institute of Agriculture & Life Sciences (IALS) Gyeongsang National University Jinju 660-701 Republic of Korea

To evaluate the response of alfalfa to water deficit （WD） stress, WD-induced candidates were investigated through a proteomic approach. Alfalfa seedlings were exposed to WD stress for 12 and 15 days respectively, followed by 3 days re-watering. Water deficit increased H202 content, lipid peroxidation, DPPH （1,1-diphenyl-2-picrylhydrazyl）-radical scavenging activity, and the free proline level in alfalfa roots. Root proteins were extracted and separated by two-dimentional polyacrylamide gel electrophoresis （2-DE）. A total of 49 WD-responsive proteins were identified in alfalfa roots; 25 proteins were reproducibly found to be up-regulated and 24 were down-regulated. Two proteins, namely cytosolic ascorbate peroxidase （APx2） and putative F-box protein were newly detected on 2-DE maps of WD-treated plants. We identified several proteins including agamous-like 65, albumin b-32, inward rectifying potassium channel, and auxin-independent growth promoter. The identified proteins are involved in a variety of cellular functions including calcium signaling, abacisic acid （ABA） biosynthesis, reactive oxygen species （ROS） regulation, transcription/translation, antioxidant/detoxification/stress defense, energy metabolism, signal transduction, and storage. These results indicate the potential candidates were responsible for adaptive response in alfalfa roots.

关键词： alfalfa proteome root water deficit stress

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Performance Evaluation of Adaptive Modulation Based MC-CDMA System

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Wireless Engineering and Technology 2013年第1期4卷 54-58页

作者： iftekhar alam Vikas Srivastva Arun Prakash Rajeev Tripathi A. K. Shankhwar ECED MNNIT Allahabad India Electronics Engineering HBTI Kanpur India Wireless Communication and Computing IIIT Allahabad India

In today’s scenario mobile phones are not used only for messaging and talking, now we use mobiles also to access internet. For that we need higher data rates. Mobiles use wireless communication channel, which is very fast varying channel. To increase the data rate we have to utilize the full channel based on the channel condition. For that we have to estimate the channel condition and based on that we have to vary the data rate so that our communication system performance parameters (bit error rate, throughput) do not change beyond the accepted level. To increase the data rate we are also using the multi-carrier CDMA system in conjunction with the above described adaptive modulation. Adaptive modulation, in conjunction with MC-CDMA transmission system is very assuring way to increase data rate. In current scenario demand of very high data rates up to 100 Mbits/s may be achieved with this scheme. In this paper, adaptive modulation based M-ary QAM, M-PSK and M-ary CPM systems applied to a MC-CDMA system in Rayleigh fading channel environment have been investigated and BER performances of all these digital modulation schemes have been compared.

关键词： Adaptive Modulation CDMA Digital Modulation MC-CDMA OFDM

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Flooding and its relationship with land cover change, population growth, and road density

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Geoscience Frontiers 2021年第6期12卷 16-35页

作者： Mahfuzur Rahman Chen Ningsheng Golam iftekhar Mahmud Md Monirul Islam Hamid Reza Pourghasemi Hilal Ahmad Jules Maurice Habumugisha Rana Muhammad Ali Washakh Mehtab alam Enlong Liu Zheng Han Huayong Ni Tian Shufeng Ashraf Dewan Key Laboratory for Mountain Hazards and Earth Surface Process Institute of Mountain Hazards and Environment(IMHE)Chinese Academy of Sciences(CAS)Chengdu 610041China University of Chinese Academy of Sciences(UCAS) Beijing 100049China Department of Civil Engineering International University of Business Agriculture and Technology(IUBAT)Dhaka 1230Bangladesh Academy of Plateau Science and Sustainability Xining 810016China Development Research Initiative Dhaka 1216Bangladesh Department of Natural Resources and Environmental Engineering College of AgricultureShiraz UniversityShiraz 71454Iran School of Architecture Neijiang Normal UniversityNeijiang 641100China Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100101China State Key Laboratory of Hydraulics and Mountain River Engineering College of Water Resource and HydropowerSichuan UniversityChengdu 610065China School of Civil Engineering Central South UniversityChangsha 410075China Chengdu Institute of Geology and Mineral Resources China Geological SurveyChina School of Earth and Planetary Sciences Curtin UniversityKent StBentleyWA 6102Australia

Bangladesh experiences frequent hydro-climatic disasters such as *** disasters are believed to be associated with land use changes and climate ***,identifying the factors that lead to flooding is *** study mapped flood susceptibility in the northeast region of Bangladesh using Bayesian regularization back propagation(BRBP)neural network,classification and regression trees(CART),a statistical model(STM)using the evidence belief function(EBF),and their ensemble models(EMs)for three time periods(2000,2014,and 2017).The accuracy of machine learning algorithms(MLAs),STM,and EMs were assessed by considering the area under the curve—receiver operating characteristic(AUC-ROC).Evaluation of the accuracy levels of the aforementioned algorithms revealed that EM4(BRBP-CART-EBF)outperformed(AUC>90%)standalone and other ensemble models for the three time periods ***,this study investigated the relationships among land cover change(LCC),population growth(PG),road density(RD),and relative change of flooding(RCF)areas for the period between 2000 and *** results showed that areas with very high susceptibility to flooding increased by 19.72%between 2000 and 2017,while the PG rate increased by 51.68%over the same *** Pearson correlation coefficient for RCF and RD was calculated to be *** findings highlight the significant association between floods and causative *** study findings could be valuable to policymakers and resource managers as they can lead to improvements in flood management and reduction in flood damage and risks.

关键词： Hydro-climatic disasters Machine learning algorithms Statistical model Ensemble model Relative change in flooding areas

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