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| 1 | The RhHB1/RhLOX4 module affects the dehydration tolerance of rose flowers(Rosa hybrida)by fine-tuning jasmonic acid levels显示文摘Phytohormones are key factors in plant responsiveness to abiotic and biotic stresses,and maintaining hormone homeostasis is critically important during stress responses.Cut rose(Rosa hybrida)flowers experience dehydration stress during postharvest handling,and jasmonic acid(JA)levels change as a result of this stress.However,how JA is involved in dehydration tolerance remains unclear.We investigated the functions of the JA-and dehydration-induced RhHB1 gene,which encodes a homeodomain-leucine zipper Iγ-clade transcription factor,in rose flowers.Silencing RhHB1 decreased petal dehydration tolerance and resulted in a persistent increase in JA-Ile content and reduced dehydration tolerance.An elevated JA-Ile level had a detrimental effect on rose petal dehydration tolerance.RhHB1 was shown to lower the transient induction of JA-Ile accumulation in response to dehydration.In addition to transcriptomic data,we obtained evidence that RhHB1 suppresses the expression of the lipoxygenase 4(RhLOX4)gene by directly binding to its promoter both in vivo and in vitro.We propose that increased JA-Ile levels weaken the capacity for osmotic adjustment in petal cells,resulting in reduced dehydration tolerance.In conclusion,a JA feedback loop mediated by an RhHB1/RhLOX4 regulatory module provides dehydration tolerance by fine-tuning bioactive JA levels in dehydrated flowers. | Youwei Fan Jitao Liu Jing Zou Xiangyu Zhang Liwei Jiang Kun Liu Peitao Lü Junping Gao Changqing Zhang | 2020 | Horticulture Research2020，7，1： | 1 |
| 2 | Sources appointment and health risks of PM_(2.5)-bound trace elements in a coastal city of southeastern China显示文摘To gain a comprehensive understanding of sources and health risks of trace elements in an area of China with high population densities and low PM_(2.5)concentrations,15 trace elements(Al,K,Ca,Ti,V,Cr,Mn,Fe,Ni,Cu,Zn,As,Sn,Ba,Pb)in PM_(2.5)were monitored from December 2020 to November 2021 in a representative city,Xiamen.The concentrations of trace elements in Xiamen displayed an obvious seasonal variation and were dominated by K,Fe,Al,Ca and Zn.Based on Positive Matrix Factorization analysis,source appointment revealed that the major sources of trace elements in Xiamen were traffic,dust,biomass and firework combustion,industrial manufacture and shipping emission.According to health risk assessment combined with the source appointment results,it indicated that the average noncarcinogenic risk was below the threshold and cancer risk of four hazardous metals(Cr,Ni,As,Pb)exceeded the threshold(10^(-6)).Traffic-related source had almost half amount of contribution to the health risk induced by PM_(2.5)-bound trace elements.During the dust transport period or Spring Festival period,the health risks exceeded an acceptable threshold even an order of magnitude higher,suggesting that the serious health risks still existed in low PM_(2.5)environment at certain times.Health risk assessment reminded that the health risk reduction in PM_(2.5)at southeastern China should prioritize traffic-related hazardous trace elements and highlighted the importance of controlling vehicles emissions in the future. | Ziyi Lin Xiaolong Fan Gaojie Chen Youwei Hong Mengren Li Lingling Xu Baoye Hu Chen Yang Yanting Chen Zhiqian Shao Jinsheng Chen | 2024 | Journal of Environmental Sciences2024，，4： | 0 |
| 3 | Atmospheric oxidation capacity and O_(3) formation in a coastal city of southeast China:Results from simulation based on four-season observation显示文摘The pollution of atmospheric ozone in China shows an obvious upward trend in the past decade.However,the studies on the atmospheric oxidation capacity and O_(3)formation in four seasons in the southeastern coastal region of China with the rapid urbanization remain limited.Here,a four-season field observation was carried out in a coastal city of southeast China,using an observation-based model combining with the Master Chemical Mechanism,to explore the atmospheric oxidation capacity(AOC),radical chemistry,O_(3)formation pathways and sensitivity.The results showed that the average net O_(3)production rate(14.55 ppbv/hr)in summer was the strongest,but the average O_(3)concentrations in autumn was higher.The AOC and ROx levels presented an obvious seasonal pattern with the maximum value in summer,while the OH reactivity in winter was the highest with an average value of 22.75 sec^(-1).The OH reactivity was dominated by oxygenated VOCs(OVOCs)(30.6%-42.8%),CO(23.2%-26.8%),NO_(2)(13.6%-22.0%),and alkenes(8.4%-12.5%)in different seasons.HONO photolysis dominated OH primary source on daytime in winter,while in other seasons,HONO photolysis in the morning and ozone photolysis in the afternoon contributed mostly.Sensitivity analysis indicated that O_(3)production was controlled by VOCs in spring,autumn and winter,but a VOC-limited and NOx-limited regime in summer,and alkene and aromatic species were the major controlling factors to O_(3)formation.Overall,the study characterized the atmospheric oxidation capacity and elucidated the controlling factors for O_(3)production in the coastal area with the rapid urbanization in China. | Gaojie Chen Taotao Liu Jinsheng Chen Lingling Xu Baoye Hu Chen Yang Xiaolong Fan Mengren Li Youwei Hong Xiaoting Ji Jinfang Chen Fuwang Zhang | 2024 | Journal of Environmental Sciences2024，，2： | 0 |
| 4 | A novel type curve for estimating oil recovery factor of gas flooding显示文摘A novel type curve is presented for oil recovery factor prediction suitable for gas flooding by innovatively introducing the equivalent water-gas cut to replace the water cut,comprehensively considering the impact of three-phase flow(oil,gas,water),and deriving the theoretical equations of gas flooding type curve based on Tong’s type curve.The equivalent water-gas cut is the ratio of the cumulative underground volume of gas and water production to the total underground volume of produced fluids.Field production data and the numerical simulation results are used to demonstrate the feasibility of the new type curve and verify the accuracy of the prediction results with field cases.The new type curve is suitable for oil recovery factor prediction of both water flooding and gas flooding.When a reservoir has no gas injected or produced,the gas phase can be ignored and only the oil and water phases need to be considered,in this case,this gas flooding type curve returns to the Tong’s type curve,which can evaluate the oil recovery factor of water flooding.For reservoirs with equivalent water-gas cuts of 60%-80%,the regression method of the new type curve works well in predicting the oil recovery factor.For reservoirs with equivalent water-gas cuts higher than 80%,both the regression and assignment methods of the new type curve can accurately predict the oil recovery factor of gas flooding. | TANG Yong ZHANG Haochuan HE Youwei GUO Xiaodong FAN Kun WU Zangyuan ZHOU Daiyu TAO Zhengwu LI Jinlong | 2022 | Petroleum Exploration and Development2022，49，3： | 0 |
| 5 | 运载火箭连接强度有限元分析研究显示文摘The strength of the connection structure has always been a key issue in the structural design of a launch vehicle.In this paper,the finite element analysis method is used for the strength of typical connection structures of a new launch vehicle.The research scope includes the inter-stage connection structure and the bundle connection structure.Aiming at establishing the strength of these two connection structures under flight conditions,we built a refined finite element model,simulated the bolt tensile test and obtained a calculation criteria,and carried out finite element analysis of the connection structures under flight conditions.As a result,we not only established the analysis and evaluation method of the connection structures based on the refined finite element modeling analysis,but also provided a fast numerical simulation design method for the development of the launch vehicle’s connection structures,which greatly improved the design efficiency and reduced the design risk. | WU Hao WANG Jingchao RUI Xing ZHANG Ling ZHU Zhentao YANG Fan WANG Bin CHEN Youwei ZHANG Dengyu WANG Shuai YANG Ruisheng YU Long WANG Zhuoqun | 2021 | Aerospace China2021，22，2： | 0 |
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