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Enhanced drought and salinity tolerance in transgenic potato plants with a BADH gene from spinach
Zhang, Ning,Si, Huai-Jun,Wen, Gang,Du, Hong-Hui,Liu, Bai-Lin,Wang, Di The Korean Society of Plant Biotechnology 2011 Plant biotechnology reports Vol.5 No.1
Drought and salinity are the most important abiotic stresses that affect the normal growth and development of plants. Glycine betaine is one of the most important osmolytes present in higher plants that enable them to cope with environmental stresses through osmotic adjustment. In this study, a betaine aldehyde dehydrogenase (BADH) gene from spinach under the control of the stress-induced promoter rd29A from Arabidopsis thaliana was introduced into potato cultivar Gannongshu 2 by the Agrobacterium tumefaciens system. Putative transgenic plants were confirmed by Southern blot analysis. Northern hybridization analysis demonstrated that expression of BADH gene was induced by drought and NaCl stress in the transgenic potato plants. The BADH activity in the transgenic potato plants was between 10.8 and 11.7 U. There was a negative relationship (y = -2.2083x + 43.329, r = 0.9495) between BADH activity and the relative electrical conductivity of the transgenic potato plant leaves. Plant height increased by 0.4-0.9 cm and fresh weight per plant increased by 17-29% for the transgenic potato plants under NaCl and polyethylene glycol stresses compared with the control potato plants. These results indicated that the ability of transgenic plants to tolerate drought and salt was increased when their BADH activity was increased.
Zhang Zu-Bing,Yin Ning-Na,Long Ji-Ming,Zhang Yong-Ke,Liu Nai-Yong,Zhu Jiaying 한국응용곤충학회 2021 Journal of Asia-Pacific Entomology Vol.24 No.1
Noorda blitealis (Lepidoptera: Pyraloidea: Crambidae) is a major defoliating pest of Moringa trees. Focusing on its mating and reproduction, here we sequenced and analyzed the transcriptome of its pheromone glands (PGs) with a combination of Illumina sequencing, bioinformatics and phylogenetics approaches, coupled with a genomebased analysis. Transcriptome sequencing led to the yields of approximately 162 million clean reads, which were assembled into 60,578 unigenes and 121,692 transcripts, respectively. From the transcriptome, totally 117 genes encoding eight pheromone biosynthesis enzymes and one pheromone degradation enzyme were identified, 90 of which had complete open reading frames. A comparative analysis between PGs and bodies (removing PGs) revealed a large number of differentially expressed genes, including 79 pheromone biosynthesis and degradation related genes. Of the identified genes, NbliDES12 belonging to the △11 desaturase group was likely to a strong candidate for the desaturation of sex pheromones in N. blitealis, as implied by phylogenetic analyses and expression profiles. Finally and most notably, through genome and transcriptome analyses we discovered, for the first time, a novel aldehyde oxidase 6 (AOX6) group of the superfamily Pyraloidea that have been slightly expanded by gene duplications. Moreover, each orthologous AOX group shared highly conserved gene structure. Together, this current study has characterized the genes associated with sex pheromone biosynthesis and degradation from the PG transcriptome of N. blitealis, and more importantly, identifies a novel AOX group of the Pyraloidea.
Numerical method study of how buildings affect the flow characteristics of an urban canopy
Zhang, Ning,Jiang, Weimei,Hu, Fei Techno-Press 2004 Wind and Structures, An International Journal (WAS Vol.7 No.3
The study of how buildings affect wind flow is an important part of the research being conducted on urban climate and urban air quality. NJU-UCFM, a standard $k-{\varepsilon}$ turbulence closure model, is presented and is used to simulate how the following affect wind flow characteristics: (1) an isolated building, (2) urban canyons, (3) an irregular shaped building cluster, and (4) a real urban neighborhood. The numerical results are compared with previous researchers' results and with wind tunnel experiment results. It is demonstrated that the geometries and the distribution of urban buildings affect airflow greatly, and some examples of this include a changing of the vortices behind buildings and a "channeling effect". Although the mean air flows are well simulated by the standard $k-{\varepsilon}$ models, it is important to pay attention to certain discrepancies when results from the standard $k-{\varepsilon}$ models are used in design or policy decisions: The standard $k-{\varepsilon}$ model may overestimate the turbulence energy near the frontal side of buildings, may underestimate the range of high turbulence energy in urban areas, and may omit some important information (such as the reverse air flows above the building roofs). In ideal inflow conditions, the effects of the heights of buildings may be underestimated, when compared with field observations.
ON TESTING FOR HOMOGENEITY OF THE COVARIANCE N\MATRICES
Zhang, Xiao-Ning,Jing, Ping,Ji, Xiao-Ming 한국전산응용수학회 2001 The Korean journal of computational & applied math Vol.8 No.2
Testing equality of covariance matrix of k populations has long been an interesting issue in statistical inference. To overcome the sparseness of data points in a high-dimensional space and deal with the general cases, we suggest several projection pursuit type statistics. Some results on the limiting distributions of the statistics are obtained. some properties of Bootstrap approximation are investigated. Furthermore, for computational reasons an approximation which is based on Number theoretic method for the statistics is adopted. Several simulation experiments are performed. AMS Subject Classification : 2H15, 62H10, 62G09, 62G10
S-I model of horizontal jet grouting reinforcement for soft soil
Zhang, Ning,Li, Zhongyin,Ma, Qingsong,Ma, Tianchi,Niu, Xiaodong,Liu, Xixi,Feng, Tao Techno-Press 2018 Geomechanics & engineering Vol.15 No.5
A superposition-iteration (S-I) model is proposed to simulate the jet grouting pre-reinforcing impact for a shallow-buried tunnel. The common model is deduced by theoretical (force equilibrium) analysis and then transformed into the numerical formulation. After applying it to an actual engineering problem, the most obvious deficiency was found to be continuous error accumulation, even when the parameters change slightly. In order to address this problem, a superposition-iteration model is developed based on the basic assumption and superposition theory. First, the additional deflection between two successive excavation steps is determined. This is caused by the disappearance of the supporting force in the excavated zone and the soil pressure in the disturbed zone. Consequently, the final deflection can be obtained by repeatedly superposing the additional deflection to the initial deflection in the previous steps. The analytical solution is then determined with the boundary conditions. The superposition-iteration model is thus established. This model was then applied and found to be suitable for real-life engineering applications. During the calculation, the error induced by the ill-conditioned problem of the matrix is easily addressed. The precision of this model is greater compared to previous models. The sensitivity factors and their impact are determined through this superposition-iteration model.
Image Reconstruction Model Based on Deep Learning for Defect Detection of Rubber Products
Ning Zhang,권성근 한국멀티미디어학회 2023 멀티미디어학회논문지 Vol.26 No.11
The industrial defect detection method based on deep learning can reduce the cost of traditional manual quality inspection and improve the efficiency of detection. Therefore, it plays an important part in intelligent manufacturing and has gradually become one of the emerging research hotspots in the field of computer vision. It is commonly used in various production and operation and maintenance scenarios such as unmanned quality inspection, intelligent patrol inspection, and quality control. In this paper, according to the detection requirements in reality, a deep image reconstruction network is constructed to realize intelligent quality detection of industrial products. In order to obtain more ideal results, corresponding tests and adjustments are carried out on the constructed network.
Ning, Fangkun,Wang, Chao,Berry, Karin Zemski,Kandasamy, Pitchaimani,Liu, Haolin,Murphy, Robert C.,Voelker, Dennis R.,Nho, Chu Won,Pan, Choel-Ho,Dai, Shaodong,Niu, Liwen,Chu, Hong-Wei,Zhang, Gongyi The Federation of American Societies for Experimen 2014 The FASEB Journal Vol.28 No.12
<P>The short palate, lung and nasal epithelial clone 1 (SPLUNC1) protein is a member of the palate, lung, and nasal epithelium clone (PLUNC) family, also known as bactericidal/permeability-increasing (BPI) fold-containing protein, family A, member 1 (BPIFA1). SPLUNC1 is an abundant protein in human airways, but its function remains poorly understood. The lipid ligands of SPLUNC1 as well as other PLUNC family members are largely unknown, although some reports provide evidence that lipopolysaccharide (LPS) could be a lipid ligand. Unlike previous hypotheses, we found significant structural differences between SPLUNC1 and BPI. Recombinant SPLUNC1 produced in HEK 293 cells harbored several molecular species of sphingomyelin and phosphatidylcholine as its ligands. Significantly, <I>in vitro</I> lipid-binding studies failed to demonstrate interactions between SPLUNC1 and LPS, lipoteichoic acid, or polymyxin B. Instead, one of the major and most important pulmonary surfactant phospholipids, dipalmitoylphosphatidylcholine (DPPC), bound to SPLUNC1 with high affinity and specificity. We found that SPLUNC1 could be the first protein receptor for DPPC. These discoveries provide insight into the specific determinants governing the interaction between SPLUNC1 and lipids and also shed light on novel functions that SPLUNC1 and other PLUNC family members perform in host defense.—Ning, F., Wang, C., Berry, K. Z., Kandasamy, P., Liu, H., Murphy, R. C., Voelker, D. R., Nho, C. W., Pan, C.-H., Dai, S., Niu, L., Chu, H.-W., Zhang, G. Structural characterization of the pulmonary innate immune protein SPLUNC1 and identification of lipid ligands.</P>