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| 1 | Combined genome-wide association study and transcriptome analysis reveal candidate genes for resistance to Fusarium ear rot in maize显示文摘Fusarium ear rot,caused by Fusarium verti-cillioides,is a devastating fungal disease in maize that re-duces yield and quality;moreover,F.verticillioides pro-duces fumonisin mycotoxins,which pose serious threats to human and animal health.Here,we performed a genome-wide association study(GWAS)under three en-vironmental conditions and identified 34 single-nucleotide polymorphisms(SNPs)that were significantly associated with Fusarium ear rot resistance.With reference to the maize B73 genome,69 genes that overlapped with or were adjacent to the significant SNPs were identified as potential resistance genes to Fusarium ear rot.Comparing transcriptomes of the most resistant and most susceptible lines during the very early response to Fusarium ear rot,we detected many differentially expressed genes enriched for pathways related to plant immune responses,such as plant hormone signal transduction,phenylpropanoid bio-synthesis,and cytochrome P450 metabolism.More than one-fourth of the potential resistance genes detected in the GWAS were differentially expressed in the tran-scriptome analysis,which allowed us to predict numbers of candidate genes for maize resistance to ear rot,in-cluding genes related to plant hormones,a MAP kinase,a PR5-like receptor kinase,and heat shock proteins.We propose that maize plants initiate early immune responses to Fusarium ear rot mainly by regulating the growth-defense balance and promoting biosynthesis of defense compounds. | Lishan Yao Yanmei Li Chuanyu Ma Lixiu Tong Feili Du Mingliang Xu | 2020 | Journal of Integrative Plant Biology2020,62,10: | 13 |
| 2 | Regularities of formation and lattice distortion of perovs-kite-type compounds显示文摘Based on 489 known perovskite-type complex oxides and a number of other type complex oxides, the pattern recognition-atomic parameter method is adopted to find regularities of the formation and the lattice distortion of the perovskite structure. It has been found that the restriction on Goldschmidt’s t factor constitutes only a necessary but not a sufficient condition to form perovskite-type compounds. A more effective mathematical model, which can precisely sum up the regularities of the formation, the lattice distortion, and the cell constants of known perovskite-type compounds and reliably make corresponding predictions on unknown compounds, can be set up by integrating multiple atomic parameters such as ionic radii, ionic valency, and Basanov’s electronegativity of constituent elements. Based on it, an intelligent database has been implemented. Its prediction accuracy is tested by eight newly discovered perovskite-type compounds such as Eu(Mn0.5 Ni0.5)O3, etc. (they are not included in the database | Chenzhou Ye Jie Yang Lixiu Yao Nianyi Chen | 2002 | Chinese Science Bulletin2002,47,6: | 2 |
| 3 | Regularities of Formation of Ternary Intermetallic Compounds between One Transition Element and Two Non-transition Elements显示文摘The pattern recognition methods and a four-parameter model, based on extension of Miedema’s cellular model of alloy phases, are used to study the regularities of formation of ternary com- pounds between one transition element (T) and two non-transition elements (N, N’) (T-N-N’ system). The influences of φ (electronegativity), (valence electron density in Wagner-Seitz cell), .R(Pauling’s metallic radii) and Z (number of valence electrons in atom) on the formation of the ternary intermetallic compounds were investigated. | Lixiu YAO, Nianyi CHEN and Jie YANG Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China | 2001 | Journal of Materials Science & Technology2001,17,6: | 0 |
| 4 | Alkali metal cation engineering in organic/inorganic hybrid perovskite solar cells显示文摘The past decade has witnessed the rapid advance in organic–inorganic hybrid perovskite solar cells(PSCs).Owing to unique optoelectronic properties of perovskites,the power conversion efficiency(PCE)of PSCs has jumped from 3.8%to25.5%[1–4].However,under the stimulus of illumination,moisture,oxygen and heat,perovskites exhibit unsatisfactory stability due to weak bonding among the components in these soft-lattice crystals[5–7].Doping and passivation engineering with alkali metal cations can enhance the intrinsic stability of perovskite materials.Here,the recent progress of alkali metal cations engineering is reviewed,and the impact on the crystallization,lattice structure,photovoltaic performance and stability is discussed. | Jilin Wang Ruibin Tang Lixiu Zhang Fei Long Disheng Yao Liming Ding | 2022 | Journal of Semiconductors2022,43,1: | 0 |
| 5 | Nonconforming Finite Element Methods for Wave Propagation in Metamaterials显示文摘In this paper,nonconforming mixed finite element method is proposed to simulate the wave propagation in metamaterials.The error estimate of the semi-discrete scheme is given by convergence order O(h 2),which is less than 40 percent of the computational costs comparing with the same effect by using Nédélec-Raviart element.A Crank-Nicolson full discrete scheme is also presented with O(τ2+h 2)by traditional discrete formula without using penalty method.Numerical examples of 2D TE,TM cases and a famous re-focusing phenomena are shown to verify our theories. | Changhui Yao Lixiu Wang | 2017 | Numerical Mathematics(Theory,Methods and Applications)2017,10,1: | 0 |
| 6 | PCA for predicting quaternary structure of protein显示文摘The number and arrangement of subunits that form a protein are referred to as quaternary structure.Knowing the quaternary structure of an uncharacterized protein provides clues to finding its biological function and interaction process with other molecules in a biological system.With the explosion of protein sequences generated in the Post-Genomic Age,it is vital to develop an automated method to deal with such a challenge.To explore this prob-lem,we adopted an approach based on the pseudo position-specific score matrix(Pse-PSSM)descriptor,proposed by Chou and Shen,representing a protein sample.The Pse-PSSM descriptor is advantageous in that it can combine the evolution information and sequence-correlated informa-tion.However,incorporating all these effects into a descriptor may cause‘high dimension disaster’.To over-come such a problem,the fusion approach was adopted by Chou and Shen.A completely different approach,linear dimensionality reduction algorithm principal component analysis(PCA)is introduced to extract key features from the high-dimensional Pse-PSSM space.The obtained dimension-reduced descriptor vector is a compact repre-sentation of the original high dimensional vector.The jack-knife test results indicate that the dimensionality reduction approach is efficient in coping with complicated problems in biological systems,such as predicting the quaternary struc-ture of proteins. | Tong WANG Hongbin SHEN Lixiu YAO Jie YANG Kuochen CHOU | 2008 | Frontiers of Electrical and Electronic Engineering in China2008,3,4: | 0 |
| 7 | Regularities of formation of binary intermetallic compounds between transition and non-transition elements显示文摘A four-parameter model based on the extended Miedema’s cellular model of alloy phases and pattern recognition methods has been used to study the regularities of the formation of binary intermetallic compounds between tran-sition element and non-transition element. The formation criterion can be expressed as some inequities of electronega-tivity , the valence electron density in Wagner-Seitz cell nws1/3, Pauling’s metallic radius R and the number of valence electrons in atom Z or their functions. According to these empirical criterions, the 'unknown' binary alloy system can be predicted, the predicted result is better than that of Miedema’s two-parameter model. | Lixiu Yao Jie Yang Chenzhou Ye Nianyi Chen | 2001 | Chinese Science Bulletin2001,46,21: | 0 |