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| 1 | A Collinearity-Incorporating Homology Inference Strategy for Connecting Emerging Assemblies in the Triticeae Tribe as a Pilot Practice in the Plant Pangenomic Era显示文摘Plant genome sequencing has dramatically increased,and some species even have multiple high-quality reference versions.Demands for clade-specific homology inference and analysis have increased in the pangenomic era.Here we present a novel method,GeneTribe(http://gffzz6c7fcf032cb94ff5sn00bff6xq9ku6x5x.ffgz.tsg.suse.edu.cn/genetribe/),for homology inference among genetically similar genomes that incorporates gene collinearity and shows bet-ter performance than traditional sequence-similarity-based methods in terms of accuracy and scalability.The Triticeae tribe is a typical allopolyploid-rich clade with complex species relationships that includes many important crops,such as wheat,barley,and rye.We built Triticeae-GeneTribe(http://gffzzaeec8df70e7c4b21hn00bff6xq9ku6x5x.ffgz.tsg.suse.edu.cn/TGT/),a homology database,by integrating 12 Triticeae genomes and 3 outgroup model genomes and implemented versatile analysis and visualization functions.With macrocollinearity analysis,we were able to construct a refined model illustrating the structural rearrangements of the 4A-5A-7B chromosomes in wheat as two major translocation events.With collinearity analysis at both the macro-and microscale,we illustrated the complex evolutionary history of homologs of the wheat vernalization gene Vm2,which evolved as a combined result of genome translocation,duplication,and polyploidization and gene loss events.Our work provides a useful practice for connecting emerging genome assemblies,with awareness of the extensive polyploidy in plants,and will help researchers efficiently exploit genome sequence re-sources. | Yongming Chen Wanjun Song Xiaoming Xie Zihao Wang Panfeng Guan Huiru Peng Yuannian Jiao Zhongfu Ni Qixin Sun Weilong Guo | 2020 | Molecular Plant2020，13，12： | 14 |
| 2 | CO_2 Density-Raman Shift Relation Derived from Synthetic Inclusions in Fused Silica Capillaries and Its Application显示文摘The densities of CO_2 inclusions in minerals are commonly used to determine the crystallizing conditions of the host minerals.However,conventional microthermometry is difficult to apply for inclusions of small size(<5-10μm) or low density.Raman analysis is an alternative method for determining CO_2 density,provided that the CO_2 density-Raman shift relation is known.This study aims to establish this CO_2 density-Raman shift relation by using CO_2 inclusions synthesized in fused silica capillaries.By using this newly-developed synthetic technique,we formed pure CO_2 inclusions,and their densities were determined by microthermometry.The Raman analysis showed that the relation between CO_2 density(D in g/cm3) and the separations(△in cm^(-1)) between the two main bands(i.e.Fermi diad bands) in CO_2 Raman spectra can be represented by a cubic equation:D (g/cm^3)=0.74203(-0.019⊿~3+5.90332⊿~2-610.79472⊿+21050.30165)-3.54278(r^2=0.99920).Our calculated D value for a given⊿ is between those obtained from two previously-reported equations,which were derived from different experimental methods.An example was given in this study to demonstrate that the densities of natural CO_2 inclusions that could not be derived from microthermometry could be determined by using our method. | SONG Yucai CHOU I'Ming HU Wenxuan Burruss ROBERT LU Wanjun | 2009 | Acta Geologica Sinica(English Edition)2009，83，5： | 9 |
| 3 | An all-round AI-Chemist with a scientific mind显示文摘The realization of automated chemical experiments by robots unveiled the prelude to an artificial intelligence(AI)laboratory.Several AI-based systems or robots with specific chemical skills have been demonstrated,but conducting all-round scientific research remains challenging.Here,we present an all-round AI-Chemist equipped with scientific data intelligence that is capable of performing basic tasks generally required in chemical research.Based on a service platform,the AI-Chemist is able to automatically read the literatures from a cloud database and propose experimental plans accordingly.It can control a mobile robot in-house or online to automatically execute the complete experimental process on 14 workstations,including synthesis,characterization and performance tests.The experimental data can be simultaneously analysed by the computational brain of the AI-Chemist through machine learning and Bayesian optimization,allowing a new hypothesis for the next iteration to be proposed.The competence of the AI-Chemist has been scrutinized by three different chemical tasks.In the future,the more advanced all-round AI-Chemists equipped with scientific data intelligence may cause changes to the landscape of the chemical laboratory. | Qing Zhu Fei Zhang Yan Huang Hengyu Xiao LuYuan Zhao XuChun Zhang Tao Song XinSheng Tang Xiang Li Guo He BaoChen Chong JunYi Zhou YiHan Zhang Baicheng Zhang JiaQi Cao Man Luo Song Wang GuiLin Ye WanJun Zhang Xin Chen Shuang Cong Donglai Zhou Huirong Li Jialei Li Gang Zou WeiWei Shang Jun Jiang Yi Luo | 2022 | National Science Review2022，9，10： | 5 |
| 4 | Spatio-temporal Variation of Soil Respiration and Its Driving Factors in Semi-arid Regions of North China显示文摘Soil respiration(SR) is the second-largest flux in ecosystem carbon cycling. Due to the large spatio-temporal variability of environmental factors, SR varied among different vegetation types, thereby impeding accurate estimation of CO_2 emissions via SR. However, studies on spatio-temporal variation of SR are still scarce for semi-arid regions of North China. In this study, we conducted 12-month SR measurements in six land-use types, including two secondary forests(Populus tomentosa(PT) and Robinia pseudoacacia(RP)), three artificial plantations(Armeniaca sibirica(AS), Punica granatum(PG) and Ziziphus jujuba(ZJ)) and one natural grassland(GR), to quantify spatio-temporal variation of SR and distinguish its controlling factors. Results indicated that SR exhibited distinct seasonal patterns for the six sites. Soil respiration peaked in August 2012 and bottomed in April 2013. The temporal coefficient of variation(CV) of SR for the six sites ranged from 76.98% to 94.08%, while the spatial CV of SR ranged from 20.28% to 72.97% across the 12-month measurement. Soil temperature and soil moisture were the major controlling factors of temporal variation of SR in the six sites, while spatial variation in SR was mainly caused by the differences in soil total nitrogen(STN), soil organic carbon(SOC), net photosynthesis rate, and fine root biomass. Our results show that the annual average SR and Q_(10)(temperature sensitivity of soil respiration) values tended to decrease from secondary forests and grassland to plantations, indicating that the conversion of natural ecosystems to man-made ecosystems may reduce CO_2 emissions and SR temperature sensitivity. Due to the high spatio-temporal variation of SR in our study area, care should be taken when converting secondary forests and grassland to plantations from the point view of accurately quantifying CO_2 emissions via SR at regional scales. | ZENG Xinhua SONG Yigang ZHANG Wanjun HE Shengbing | 2018 | Chinese Geographical Science2018，28，1： | 3 |
| 5 | Simulation and energy performance assessment of CO_2 removal from crude synthetic natural gas via physical absorption process显示文摘The paper presents an energy performance assessment of CO2 removal for crude synthetic natural gas (SNG) upgrade by Selexol absorption process. A simplified process simulation of the Selexol process concerning power requirement and separation performance was developed. The assessment indicates that less pressure difference between crude SNG and absorption pressure favors the energy performance of CO2 removal process. When both crude SNG and absorption pressures are 20 bar, CO2 removal process has the best energy performance. The optimal specific power consumption of the CO2 removal process is 566 kJ/kg CO2 . The sensitivity analysis shows that the CO2 removal efficiency would significantly influence the total power consumption of the removal process, as well as higher heating value (HHV) and CO2 content in SNG. However, the specific power consumption excluding crude SNG and SNG compressions changes little with the variance of CO2 removal efficiency. If by-product CO2 is compressed for CO2 capture, the process would turn into a CO2 -sink for the atmosphere. Correspondingly, an increase of 281 kJ/kg CO2 in specific power consumption is required for compressing the separated CO2 . | Wanjun Guo Fei Feng Guohui Song Jun Xiao Laihong Shen | 2012 | Journal of Natural Gas Chemistry2012，21，6： | 2 |
| 6 | Two-step methodfor instability damage detection in tower body of transmissionstructures显示文摘 | QU Weilian SONG Wanjun XIA Yong | 2013 | Advances in Structural Engineering2013，16，1： | 1 |
| 7 | A unified equation for calculating methane vapor pressures in the CH 4 –H 2 O system with measured Raman shifts显示文摘 | Wanjun Lu I-Ming Chou R.C. Burruss Yucai Song | 2007 | Geochimica et Cosmochimica Acta2007，，16： | 1 |
| 8 | Tracing infiltration and recharge using stable isotope in Taihang Mt., North China显示文摘 | Fadong Li Xianfang Song Changyuan Tang Changming Liu Jingjie Yu Wanjun Zhang | 2007 | Environmental Geology2007，，3： | 1 |
| 9 | Surface initiated atom transfer radical polymerization: access to three dimensional wavelike polymer structure modified capillary columns for online phosphopeptide enrichment显示文摘 | QIN Weijie ZHANG Wanjun SONG Lina | 2010 | Analytical Chemistry2010，82，22： | 1 |
| 10 | Unmanned air vehicle adaptability and application evaluation for new rice panicle fertilizers:Fertilizer characteristics and mechanical adaptability显示文摘High-efficiency fertilizers suitable for mechanical spraying can improve the fertilizer application and utilization efficiency.In this study,two types of granular compound fertilizers suitable for unmanned air vehicle spraying were developed using urea,potassium chloride,humic acid,and an amino acid synergist according to the fertilization requirements of rice at the booting stage.The physical and chemical properties of the compound fertilizers were analyzed by Fourier transform infrared spectroscopy and scanning electron microscopy.The release kinetics of the fertilizer was studied via a soil column leaching experiment.The effect of fertilizer particles on unmanned air vehicle spraying uniformity was studied via an orthogonal simulation experiment.Results showed that the chemical interaction between compound-fertilizer raw materials formed complexes such as C-NH-C and-CO-NH-,which caused a change in fertilizer particle morphology.This led to chemical monolayer adsorption or internal fertilizer diffusion,which in turn delayed the fertilizer release by 5−10 d.A simulation bench test showed that the fertilizer particle hardness and roundness exceeded 20 N and 85%,respectively,while the particle size was in the range of 2.07−5.13 mm,which resulted in good unmanned air vehicle spraying uniformity with a lateral variation coefficient of less than 15%.Finally,the experimental field results demonstrated that the new compound fertilizers,when sprayed by an unmanned air vehicle,could improve the economic benefit by 916−2742 CNY ha−1 without reducing the nitrogen utilization rate and rice yield.The new compound fertilizers exhibit delayed release,good spraying uniformity,and improved economic benefit,rendering them suitable for large-scale promotion and application. | Shilin Zhu Wei Zhou Li Zhu Boteng Sun Song Huang Zhenyuan Wu Qin Qin Tao Wang Yong Chen Fei Deng Xiaolong Lei Youfeng Tao Hong Cheng Wanjun Ren | 2022 | Technology in Agronomy2022，2，1： | 0 |
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