|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Elevated CO2 differentially affects tobacco and rice defense against lepidopteran larvae via the jasmonic acid signaling pathway显示文摘Atmospheric CO_2 levels are rapidly increasing due to human activities. However, the effects of elevated CO_2(ECO_2) on plant defense against insects and the underlying mechanisms remain poorly understood. Here we show that ECO_2 increased the photosynthetic rates and the biomass of tobacco and rice plants, and the chewing lepidopteran insects Spodoptera litura and Mythimna separata gained less and more mass on tobacco and rice plants, respectively. Consistently, under ECO_2, the levels of jasmonic acid(JA), the main phytohormone controlling plant defense against these lepidopteran insects, as well as the main defense-related metabolites, were increased and decreased in insectdamaged tobacco and rice plants. Importantly, bioassaysand quantification of defense-related metabolites in tobacco and rice silenced in JA biosynthesis and perception indicate that ECO_2 changes plant resistance mainly by affecting the JA pathway. We further demonstrate that the defensive metabolites, but not total N or protein, are the main factors contributing to the altered defense levels under ECO_2. This study illustrates that ECO_2 changes the interplay between plants and insects, and we propose that crops should be studied for their resistance to the major pests under ECO_2 to predict the impact of ECO_2 on future agroecosystems. | Chengkai Lu Jinfeng qi Christian Hettenhausen Yunting Lei Jingxiong Zhang Mou Zhang Cuiping Zhang Juan Song Jing Li Guoyan Cao Saif ul Malook Jianqiang Wu | 2018 | Journal of Integrative Plant Biology2018，60，5： | 3 |
| 2 | Two-step machine learning enables optimized nanoparticle synthesis显示文摘In materials science,the discovery of recipes that yield nanomaterials with defined optical properties is costly and time-consuming.In this study,we present a two-step framework for a machine learning-driven high-throughput microfluidic platform to rapidly produce silver nanoparticles with the desired absorbance spectrum.Combining a Gaussian process-based Bayesian optimization(BO)with a deep neural network(DNN),the algorithmic framework is able to converge towards the target spectrum after sampling 120 conditions.Once the dataset is large enough to train the DNN with sufficient accuracy in the region of the target spectrum,the DNN is used to predict the colour palette accessible with the reaction synthesis.While remaining interpretable by humans,the proposed framework efficiently optimizes the nanomaterial synthesis and can extract fundamental knowledge of the relationship between chemical composition and optical properties,such as the role of each reactant on the shape and amplitude of the absorbance spectrum. | Flore Mekki-Berrada Zekun Ren Tan Huang Wai Kuan Wong Fang Zheng Jiaxun Xie Isaac Parker Siyu Tian Senthilnath Jayavelu Zackaria Mahfoud Daniil Bash Kedar Hippalgaonkar Saif Khan Tonio Buonassisi Qianxiao Li Xiaonan Wang | 2021 | npj Computational Materials2021，，1： | 3 |
| 3 | Current understanding of maize and rice defense against insect herbivores显示文摘Plants have sophisticated defense systems to fend off insect herbivores. How plants defend against herbivores in dicotyledonous plants, such as Arabidopsis and tobacco, have been relatively well studied,yet little is known about the defense responses in monocotyledons. Here, we review the current understanding of rice(Oryza sativa) and maize(Zea mays) defense against insects. In rice and maize,elicitors derived from insect herbivore oral secretions or oviposition fluids activate phytohormone signaling, and transcriptomic changes mediated mainly by transcription factors lead to accumulation of defense-related secondary metabolites. Direct defenses, such as trypsin protein inhibitors in rice and benzoxazinoids in maize, have anti-digestive or toxic effects on insect herbivores. Herbivory-induced plant volatiles, such as terpenes, are indirect defenses, which attract the natural enemies of herbivores. R gene-mediated defenses against herbivores are also discussed. | Jinfeng Qi Saif ul Malook Guojing Shen Lei Gao Cuiping Zhang Jing Li Jingxiong Zhang Lei Wang Jianqiang Wu | 2018 | Plant Diversity2018，40，4： | 3 |
| 4 | Immunogenicity and safety of NVSI-06-07 as a heterologous booster after priming with BBIBP-CorV:a phase 2 trial显示文摘The increased coronavirus disease 2019(COVID-19)breakthrough cases pose the need of booster vaccination.We conducted a randomised,double-blinded,controlled,phase 2 trial to assess the immunogenicity and safety of the heterologous prime-boost vaccination with an inactivated COVID-19 vaccine(BBIBP-CorV)followed by a recombinant protein-based vaccine(NVSI-06-07),using homologous boost with BBIBP-CorV as control.Three groups of healthy adults(600 individuals per group)who had completed two-dose BBIBP-CorV vaccinations 1–3 months,4–6 months and≥6 months earlier,respectively,were randomly assigned in a 1:1 ratio to receive either NVSI-06-07 or BBIBP-CorV boost.Immunogenicity assays showed that in NVSI-06-07 groups,neutralizing antibody geometric mean titers(GMTs)against the prototype SARS-CoV-2 increased by 21.01–63.85 folds on day 28 after vaccination,whereas only 4.20–16.78 folds of increases were observed in control groups.For Omicron variant,the neutralizing antibody GMT elicited by homologous boost was 37.91 on day 14,however,a significantly higher neutralizing GMT of 292.53 was induced by heterologous booster.Similar results were obtained for other SARS-CoV-2 variants of concerns(VOCs),including Alpha,Beta and Delta.Both heterologous and homologous boosters have a good safety profile.Local and systemic adverse reactions were absent,mild or moderate in most participants,and the overall safety was quite similar between two booster schemes.Our findings indicated that NVSI-06-07 is safe and immunogenic as a heterologous booster in BBIBP-CorV recipients and was immunogenically superior to the homologous booster against not only SARS-CoV-2 prototype strain but also VOCs,including Omicron. | Nawal Al Kaabi Yun Kai Yang Jing Zhang Ke Xu Yu Liang Yun Kang Ji Guo Su Tian Yang Salah Hussein Mohamed Saif ElDein Shuai Shao Sen Sen Yang Wenwen Lei Xue Jun Gao Zhiwei Jiang Hui Wang Meng Li Hanadi Mekki Mekki Walid Zaher Sally Mahmoud Xue Zhang Chang Qu Dan Ying Liu Jing Zhang Mengjie Yang Islam Eltantawy Peng Xiao Zhao Nian Wang Jin Liang Yin Xiao Yan Mao Jin Zhang Ning Liu Fu Jie Shen Liang Qu Yun Tao Zhang Xiao Ming Yang Guizhen Wu Qi Ming Li | 2022 | Signal Transduction and Targeted Therapy2022，7，7： | 2 |
| 5 | Probiotic Lactobacillus acidophilus enhances the immunogenicity of an oral rotavirus vaccine in gnotobiotic pigs显示文摘 | Wei Zhang Marli S.P. Azevedo Ke Wen Ana Gonzalez Linda J. Saif Guohua Li Ahmed E. Yousef Lijuan Yuan | 2008 | Vaccine2008，，29： | 1 |
| 6 | Lactic acid bacterial colonization and human rotavirus infection influence distribution and frequencies of monocytes/macrophages and dendritic cells in neonatal gnotobiotic pigs显示文摘 | Wei Zhang Ke Wen Marli S.P. Azevedo Ana Gonzalez Linda J. Saif Guohua Li Ahmed E. Yousef Lijuan Yuan | 2007 | Veterinary Immunology and Immunopathology2007，，3： | 1 |
| 7 | Identification of a porcine calicivirus related genetically to human sapoviruses 显示文摘 | Martella V Lorusso E Banyai K Decaro N Corrente M Elia G Cavalli A Radogna A Costantini V Saif LI Lavazza A Di Trani L Buonavoglia C | 2008 | J Clin Microbiol2008，46，6： | 1 |
| 8 | Development of a new microwell hybridization assay and an internal control RNA for the detection of porcine noroviruses and sapoviruses by reverse transcription-PCR 显示文摘 | Wang QH Chang KO Han MG Sreevatsan S Saif LI | 2006 | J Virol Methods2006，132，12： | 1 |
| 9 | Carbon footprint and the management of supply chains: insights from simple models显示文摘 | BENJAAFAR Saif LI Yanzhi DASKIN Mark | 2013 | IEEE Transactions on Science and Engineering2013，10，1： | 1 |
| 10 | Cross-reactive anti-chicken CD4 and CD8 monoclonal antibodies suggest polymorphism of the turkey CD8α molecule 显示文摘 | Li Z Nestor K E Saif Y M | 1999 | Poultry Science1999，78，： | 1 |
| 11 | Carbon Footprint and the Management of Supply Chains:Insights from Simple Models显示文摘 | SAIF BENJAAFAR YANZHI LI MARK DASKIN | 2013 | IEEE transactions on automation science and engineering2013，10，1： | 1 |
| 12 | Carbon footprint and the management of supply chains: Insights from simple models显示文摘 | Benjaafar Saif Li Yan-zhi Daskin Mark | 2013 | IEEE Trans on Automation Science and Engineering2013，10，1： | 1 |
| 13 | Current use and potential role of bevaeizumab in the treatment of gastrointestinal cancers 显示文摘 | Li J saif MW | 2009 | Biologics2009，3，： | 1 |
| 14 | Cross-reactive anti-chicken CD4 and CD8 monoclonal antibodies suggest polymorphism of the turkey CD8α molecule显示文摘 | Li Z Nestor K E Saif Y M | 1999 | Poultry Science1999，78，： | 1 |
| 15 | Any second-line the rapy for advanced pancreatic cancer highlights from the ' 2010 ASCO Gastrointestinal Cancers Symposium”显示文摘 | Li J Merl MY Saif MW | | 0，，： | 1 |
| 16 | The Enhancement of Soil Fertility,Dry Matter Transport and Accumulation,Nitrogen Uptake and Yield in Rice via Green Manuring显示文摘Readily available chemical fertilizers have resulted in a decline in the use of organic manure(e.g.,green manures),a traditionally sustainable source of nutrients.Based on this,we applied urea at the rate of 270 kg ha−1 with and without green manure in order to assess nitrogen(N)productivity in a double rice cropping system in 2017.In particular,treatment combinations were as follows:winter fallow rice-rice(WF-R-R),milk vetch rice-rice(MV-R-R),oil-seed rape rice-rice(R-R-R)and potato crop rice-rice(P-R-R).Results revealed that green manure significantly(p≤0.05)improved the soil chemical properties and net soil organic carbon content increased by an average 117.47%,total nitrogen(N)by 28.41%,available N by 26.64%,total phosphorus(P)by 37.77%,available P by 20.48%and available potassium(K)by 33.10%than WF-R-R,however pH was reduced by 3.30%across the seasons.Similarly,net dry matter accumulation rate enhanced in green manure applied treatments and ranked in order:P-R-R>R-R-R>MV-R-R>WF-R-R.Furthermore,the total leaf dry matter transport(t ha−1)for the P-R-R in both seasons was significantly higher by an average 11.2%,7.2%and 36%than MV-R-R,R-R-R,and WF-R-R,respectively.In addition,net total nitrogen accumulation(kg ha−1)was found higher in green manure applied plots compared to the control.Yield and yield attributed traits were observed maximum in green manure applied plots,with treatments ranking as follows:P-R-R>R-R-R>MV-R-R>WF-R-R.Thus,results obtained highlight ability of green manure to sustainably improve soil quality and rice yield. | Tianyuan Li Saif Ullah He Liang Izhar Ali Quan Zhao Anas Iqbal Shanqing Wei Tariq Shah Yuqiong Luo Ligeng Jiang | 2021 | Phyton-International Journal of Experimental Botany2021，90，1： | 1 |
| 17 | Middle East respiratory syndrome (MERS) coronavirus seroprevalence in domestic livestock in Saudi Arabia, 2010 to 2013 显示文摘 | Hemida MG Perera RA Wang P Alhammadi MA Siu LY Li M Poon LL Saif L Alnaeem A Peiris M | 2013 | Eu- ro Surveill2013，18，20： | 1 |
| 18 | Phase Ⅱ study of mFOLFOX6 with bevacizumab (Bev) in metastatic gastric and gastroesophageal (GE) adenocarcinoma显示文摘 | Li J Kortmansky J S Saif M | 2010 | J Clin Oncol2010，28，15： | 1 |
| 19 | Demand Allocalion in Systems with MultipleInventory Locations and Multiple Demand Sources显示文摘 | Saif Benjaafar Yanzhi Li Dongsheng Xu Samir Elhedhli | 2008 | Manufacturing & Service Operations Management2008，10，1： | 1 |
| 20 | Identification of chemical compositions from“featureless”optical absorption spectra:Machine learning predictions and experimental validations显示文摘Rapid and accurate chemical composition identification is critically important in chemistry.While it can be achieved with optical absorption spectrometry by comparing the experimental spectra with the reference data when the chemical compositions are simple,such application is limited in more complicated scenarios especially in nano-scale research.This is due to the difficulties in identifying optical absorption peaks(i.e.,from“featureless”spectra)arose from the complexity.In this work,using the ultraviolet-visible(UV-Vis)absorption spectra of metal nanoclusters(NCs)as a demonstration,we develop a machine-learningbased method to unravel the compositions of metal NCs behind the“featureless”spectra.By implementing a one-dimensional convolutional neural network,good matches between prediction results and experimental results and low mean absolute error values are achieved on these optical absorption spectra that human cannot interpret.This work opens a door for the identification of nanomaterials at molecular precision from their optical properties,paving the way to rapid and high-throughput characterizations. | Tiankai Chen Jiali Li Pengfei Cai Qiaofeng Yao Zekun Ren Yixin Zhu Saif Khan Jianping Xie Xiaonan Wang | 2023 | Nano Research2023，16，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员