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| 1 | WheatOmics:A platform combining multiple omics data to accelerate functional genomics studies in wheat显示文摘Dear Editor,Mold-breaking progress in whole-genome sequencing and rapid accumulation of multi-omics data have revolutionized the research strategies of functional genomics in wheat(Wang et al.,2018).However,how to access these vast multi-omics data and to extract key information on genes of in-terest,is still challenging for most wet-lab or field wheat re-searchers who have little bioinformatic experiences and cannot access the expensive computational resources.Here,we pre-sent WheatOmics(http://gffzz513af15b15bc4712hfub0ko0nx6bo6ofb.ffgz.tsg.suse.edu.cn/,previously designated as Triticeae Multi-omics Center,http://gffzz601e21d286504235hfub0ko0nx6bo6ofb.ffgz.tsg.suse.edu.cn/),a free,web-accessible,and user-friendly platform.WheatOmics not only empowers the effective access to the visualized multi-omics data of user-interested genes but also offers several distinctive and practical toolkits that can ease almost every aspect of wheat functional genomics studies(Figure 1A). | Shengwei Ma Meng Wang Jianhui Wu Weilong Guo Yongming Chen Guangwei Li Yanpeng Wang Weiming Shi Guangmin Xia Daolin FU Zhensheng Kang Fei Ni | 2021 | Molecular Plant2021，14，12： | 9 |
| 2 | Fault diagnosis of power transformer based on support vector machine with genetic algorithm显示文摘 | Fei Shengwei Zhang Xiaobin | 2009 | Expert Systems with Applications2009，36，11： | 1 |
| 3 | Fault diagnosis of power transformer based on support vector machine with genetic al- gorithm 显示文摘 | Shengwei Fei Xiaobin Zhang | 2009 | Expert Systems with Application2009，36，11： | 1 |
| 4 | Fault diagnosis of power transformer based on support vector machine with genetic algorithm显示文摘 | FEI Shengwei ZHANG Xiaobin | 2009 | Expert Systems with Ap- plications2009，36，11： | 1 |
| 5 | Fault Diagnosis of Power Transformer Based on Support Vector Machine with Genetic Algorithm显示文摘 | Fei Shengwei Zhang Xiaobin | | 0，，8： | 1 |
| 6 | Fault diagnosis of power trans- former based on support vector machine with genetic algorithm 显示文摘 | FEI Shengwei ZHANG Xiaobin | 2009 | Expert Systems with Applications2009，36，11： | 1 |
| 7 | An Im- proved OPA Model and Blackout Risk Assessment显示文摘 | MEI Shengwei HE Fei ZHANG Xuemin | 2009 | IEEE Transactions on Power System2009，24，2： | 1 |
| 8 | An im- proved OPA model and blackout risk assessment 显示文摘 | Mei Shengwei He Fei Zhang Xuemin | 2009 | IEEE Transactions on Power Systems2009，24，2： | 1 |
| 9 | Support vector machine with genetic algorithm for forecasting of key-gas ratios in oil-immersed transformer显示文摘 | FEI Shengwei LIU Chengiang MIAO Yubin | 2009 | Expert Systems with Applications2009，36，4： | 1 |
| 10 | Fault Diagnosis ofPower Transformer Based on Support Vector Ma-chine with Genetic Algorithm 显示文摘 | Fei Shengwei Zhang Xiaobin | 2009 | Expert Systemwith Application2009，36，11： | 1 |
| 11 | Fault diagnosis of pow er transformer based on support vector machine with genetic algorithm显示文摘 | Fei Shengwei Zhang Xiaobin | 2009 | Expert Systems with Applica- tion2009，36，11： | 1 |
| 12 | Fault diagnosis of power transformer based on support vector machine with genetic algorithm显示文摘 | Shengwei Fei Xiaobin Zhang | 2009 | Expert System with Application2009，36，11： | 1 |
| 13 | An improved OPA model and blackout risk assessment显示文摘 | MEI Shengwei HE Fei ZHANG Xuemin | 2009 | IEEE Trans on Power Systems2009，24，2： | 1 |
| 14 | Fault Diagnosis of Power Transformer Based on Support Vector Ma- chine with Genetic Algorithm 显示文摘 | Fei Shengwei Zhang Xiaobin | 2009 | Expert Systems with Applications2009，36，11： | 1 |
| 15 | Co-transformation of HMs-PAHs in rhizosphere soils and adaptive responses of rhizobacteria during whole growth period of rice(Oryza sativa L.)显示文摘This study investigated the transformations of heavy metals(HMs) and polycyclic aromatic hydrocarbons(PAHs) in rhizosphere soils and adaptive responses of rhizobacterial community under the real field conditions during four growth stages(e.g., greening, tillering, heading, and maturity) of early rice(Zhongjiazao 17) and late rice(Zhongyou 9918) in Jiangshe village(JSV) and Yangji village(YJV). Results showed that rhizosphere soils of YJV were mildly polluted by Cd and PAHs compared to that of JSV. The relative abundance of bioavailable Cd(bio-Cd) and bioavailable As(bio-As) in rhizosphere soil increased before the heading stage but decreased at the subsequent growth stage, but the content of ΣPAHs in rhizosphere soil decreased gradually during whole growth period. The dominant rhizobacteria genera at YJV(e.g., Bacillus, Massilia, Sphingomonas, and Geobacter) increased at an abundance level from the tillering to heading stage. Rhizobacteria interacted with the above co-pollutant more intensely at the tillering and heading stage, where genes involved in HM-resistance and PAH-degradation appeared to have a significant enhancement. The contents of bioCd and bio-As in rhizosphere soil of early rice were higher than that of late rice at each growth stage, especially at the heading stage. Bio-Cd, ΣPAHs, and organic matter were key factors influencing the community structure of rhizobacteria. Results of this study provide valuable insights about the interactions between HM-PAH co-pollutant and rhizobacterial community under real field conditions and thus develop in-situ rhizosphere remediation techniques for contaminated paddy fields. | Shengwei Yi Feng Li ChenWu Fei Ge Chuang Feng Ming Zhang Yun Liu Hainan Lu | 2023 | Journal of Environmental Sciences2023，，10： | 0 |
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