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| 1 | SmMYB2 promotes salvianolic acid biosynthesis in the medicinal herb Salvia miltiorrhiza显示文摘MYB transcription factors play vital roles in plant growth and metabolism.The phytohormone methyl jasmonate(MeJA)promotes phenolic acid accumulation in the medicinal herb Salvia miltiorrhiza,but the regulatory mechanism is poorly understood.Here,we identified the MeJA-responsive R2R3-MYB transcription factor gene 5mMYB2 from a transcriptome library produced from MeJAtreated S.mi'/horr/ifza hairy roots.Sm/VIYB2 expression was tightly correlated with the expression of key salvianolic acid biosynthetic genes including CYP^8Ai^.5mMYB2 was highly expressed in the periderm of S.miltiorrhiza and SmMYB2 localized to the nucleus.Overexpressing Sml\AYB2 in S.miltiorrhiza hairy roots significantly increased the levels of salvianolic acids(including rosmarinic acid and salvianolic acid B)by upregulating salvianolic acid biosynthetic genes such as CYP98A14.SmMYB2 binds to the MYB-binding motifs in the promoter of CYP98A14,as confirmed by a dual-luciferase assay and electrophoretic mobility shift assays.Anthocyanin contents were significantly higher in Sm/ViyB2-overexpressing hairy root lines than the control,primarily due to the increased expression of CHI,DFR,and ANS.These findings reveal the novel regulatory role of SmMYB2 in MeJA-mediated phenolic acid biosynthesis,providing a useful target gene for metabolic engineering and shedding light on the salvianolic acid regulatory network. | Changping Deng Yao Wang Fenfen Huang Sunjie Lu Limei Zhao Xingyuan Ma Guoyin Kai | 2020 | Journal of Integrative Plant Biology2020，62，11： | 6 |
| 2 | Entinostat,a classⅠselective histone deacetylase inhibitor,plus exemestane for Chinese patients with hormone receptor-positive advanced breast cancer:A multicenter,randomized,double-blind,placebo-controlled,phase 3 trial显示文摘Entinostat plus exemestane in hormone receptor-positive(HR+)advanced breast cancer(ABC)previously showed encouraging outcomes.This multicenter phase 3 trial evaluated the efficacy and safety of entinostat plus exemestane in Chinese patients with HR+ABC that relapsed/progressed after≥1 endocrine therapy.Patients were randomized(2:1)to oral exemestane 25 mg/day plus entinostat(n=235)or placebo(n=119)5 mg/week in 28-day cycles.The primary endpoint was the independent radiographic committee(IRC)-assessed progression-free survival(PFS).The median age was 52(range,28—75)years and 222(62.7%)patients were postmenopausal.CDK4/6 inhibitors and fulvestrant were previously used in 23(6.5%)and 92(26.0%)patients,respectively.The baseline characteristics were comparable between the entinostat and placebo groups.The median PFS was 6.32(95%CI,5.30—9.11)and 3.72(95%CI,1.91—5.49)months in the entinostat and placebo groups(HR,0.76;95%CI,0.58—0.98;P=0.046),respectively.Grade≥3 adverse events(AEs)occurred in 154(65.5%)patients in the entinostat group versus 23(19.3%)in the placebo group,and the most common grade≥3 treatment-related AEs were neutropenia[103(43.8%)],thrombocytopenia[20(8.5%)],and leucopenia[15(6.4%)].Entinostat plus exemestane significantly improved PFS compared with exemestane,with generally manageable toxicities in HR+ABC(ClinicalTrials.gov#NCT03538171). | Binghe Xu Qingyuan Zhang Xichun Hu Qing Li Tao Sun Wei Li Quchang Ouyang Jingfen Wang Zhongsheng Tong Min Yan Huiping Li Xiaohua Zeng Changping Shan Xian Wang Xi Yan Jian Zhang Yue Zhang Jiani Wang Liang Zhang Ying Lin Jifeng Feng Qianjun Chen Jian Huang Lu Zhang Lisong Yang Ying Tian Hongyan Shang | 2023 | Acta Pharmaceutica Sinica B2023，13，5： | 3 |
| 3 | The methyl jasmonate-responsive transcription factor SmMYB1 promotes phenolic acid biosynthesis in Salvia miltiorrhiza显示文摘Water-soluble phenolic acids are major bioactive compounds in the medicinal plant species Salvia miltiorrhiza.Phenolic acid biosynthesis is induced by methyl jasmonate(MeJA)in this important Chinese herb.Here,we investigated the mechanism underlying this induction by analyzing a transcriptome library of S.miltiorrhiza in response to MeJA.Global transcriptome analysis identified the MeJA-responsive R2R3-MYB transcription factor-encoding gene SmMYB1.Overexpressing SmMYB1 significantly promoted phenolic acid accumulation and upregulated the expression of genes encoding key enzymes in the phenolic acid biosynthesis pathway,including cytochrome P450-dependent monooxygenase(CYP98A14).Dual-luciferase(dual-LUC)assays and/or an electrophoretic mobility shift assays(EMSAs)indicated that SmMYB1 activated the expression of CYP98A14,as well as the expression of genes encoding anthocyanin biosynthesis pathway enzymes,including chalcone isomerase(CHI)and anthocyanidin synthase(ANS).In addition,SmMYB1 was shown to interact with SmMYC2 to additively promote CYP98A14 expression compared to the action of SmMYB1 alone.Taken together,these results demonstrate that SmMYB1 is an activator that improves the accumulation of phenolic acids and anthocyanins in S.miltiorrhiza.These findings lay the foundation for in-depth studies of the molecular mechanism underlying MeJA-mediated phenolic acid biosynthesis and for the metabolic engineering of bioactive ingredients in S.miltiorrhiza. | Wei Zhou Min Shi Changping Deng Sunjie Lu Fenfen Huang Yao Wang Guoyin Kai | 2021 | Horticulture Research2021，8，1： | 3 |
| 4 | Horizontal and vertical gene transfer drive sediment antibiotic resistome in an urban lagoon system显示文摘Rapid urbanization has resulted in pervasive occurrence of antibiotic resistance genes(ARGs)in urban aquatic ecosystems.However,limited information is available concerning the ARG profiles and the forces responsible for their assembly in urban landscape lagoon systems.Here,we employed high-throughput quantitative PCR(HT-q PCR)to characterize the spatial variations of ARGs in surface and core sediments of Yundang Lagoon,China.The results indicated that the average richness and absolute abundance of ARGs were 11 and 53 times higher in the lagoon sediments as compared to pristine reference Tibetan lake sediments,highlighting the role of anthropogenic activities in ARG pollution.Co-occurrence network analysis indicated that various anaerobic prokaryotic genera belonging to Alpha-,Deltaproteobacteria,Bacteroidetes,Euryarchaeota,Firmicutes and Synergistetes were the potential hosts of ARGs.The partial least squares-path modeling(PLS-PM)analysis revealed positive and negative indirect effects of physicochemical factors and heavy metals on the lagoon ARG profiles,via biotic factors,respectively.The horizontal(mediated by mobile genetic elements)and vertical(mediated by prokaryotic communities)gene transfer may directly contribute the most to drive the abundance and composition of ARGs,respectively.Furthermore,the neutral community model demonstrated that the assembly of sediment ARG communities was jointly governed by deterministic and stochastic processes.Overall,this study provides novel insights into the diversity and distribution of ARGs in the benthic habitat of urban lagoon systems and underlying mechanisms for the spread and proliferation of ARGs. | Hongjie Wang Liyuan Hou Yongqin Liu Keshao Liu Lanping Zhang Fuyi Huang Lin Wang Azhar Rashid Anyi Hu Changping Yu | 2021 | Journal of Environmental Sciences2021，33，4： | 2 |
| 5 | Low-MHz frequency effect on a sonochemical reaction determined by an electrical method显示文摘 | Jinlan Huang Ruo Feng Changping Zhu | 1995 | Ultrasonics Sonochemistry1995，2，2： | 1 |
| 6 | A shearlet based separation method of 3D engineering surface using high definition metrology显示文摘 | Du Shichang Liu Changping Huang Delin | 2015 | Precision Engineering2015，40，： | 1 |
| 7 | Fluorescent conjugated polymer films as TNT chemosensors 显示文摘 | Chang Changping Chao Chunyu Huang Junhuo | 2004 | Synthetic Metals2004，144，3： | 1 |
| 8 | Low-MHz frequency effect on a sonochemical reaction Determined by an electrical method显示文摘 | HUANG Jinlan FENG Ruo ZHU Changping | 1995 | Ultrasonic sonochemistry1995，2，2： | 1 |
| 9 | Assessing the severity of cotton Verticillium wilt disease from in situ canopy images and spectra using convolutional neural networks显示文摘Verticillium wilt(VW)is a common soilborne disease of cotton.It occurs mainly in the seedling and bollopening stages and severely impairs the yield and quality of the fiber.Rapid and accurate identification and evaluation of VW severity(VWS)forms the basis of field cotton VW control,which has great significance to cotton production.Cotton VWS values are conventionally measured using in-field observations and laboratory test diagnoses,which require abundant time and professional expertise.Remote and proximal sensing using imagery and spectrometry have great potential for this purpose.In this study,we performed in situ investigations at three experimental sites in 2019 and 2021 and collected VWS values,in situ images,and spectra of 361 cotton canopies.To estimate cotton VWS values at the canopy scale,we developed two deep learning approaches that use in situ images and spectra,respectively.For the imagery-based method,given the high complexity of the in situ environment,we first transformed the task of healthy and diseased leaf recognition to the task of cotton field scene classification and then built a cotton field scenes(CFS)dataset with over 1000 images for each scene-unit type.We performed pretrained convolutional neural networks(CNNs)training and validation using the CFS dataset and then used the networks after training to classify scene units for each canopy.The results showed that the Dark Net-19 model achieved satisfactory performance in CFS classification and VWS values estimation(R^(2)=0.91,root-mean-square error(RMSE)=6.35%).For the spectroscopy-based method,we first designed a one-dimensional regression network(1D CNN)with four convolutional layers.After dimensionality reduction by sensitive-band selection and principal component analysis,we fitted the 1D CNN with varying numbers of principal components(PCs).The 1D CNN model with the top 20 PCs performed best(R^(2)=0.93,RMSE=5.77%).These deep learning-driven approaches offer the potential of assessing crop disease severity from spatial and spectral perspectives. | Xiaoyan Kang Changping Huang Lifu Zhang Mi Yang Ze Zhang Xin Lyu | 2023 | The Crop Journal2023，11，3： | 0 |
| 10 | Responses of phytoplankton and its satellite bacteria to exogenous ethanol显示文摘The response of phytoplankton and its satellite bacteria to various concentrations(0.01%-10%v/v)of ethanol is studied.To elucidate the effect of ethanol,single-strains of phytoplankton(SSP)culture,pure strains of satellite bacteria isolated from nonaxenic SSP cultures,and Escherichia coli were screened.Results indicate that ethanol could promote the growth and photo synthetic efficiency(F_(v)/F_(m))of S SP at 0.01%and the growth of satellite bacteria at 0.01%-1%.Nevertheless,ethanol inhibited the growth and F_(v)/F_(m)of SSP at 0.1%-1%,and killed bacteria and SSP at 10% concentration.Further investigation on a satellite bacterium(Mameliella alba)revealed that ethanol promotes growth by serving as a growth stimulant rather than a metabolic carbon source.The 16 S rRNA gene amplicon indicated that all nonaxenic S SP cultures harbor distinct satellite bacteria communities where the SSP culture of Skeletonema costatum,Phaeodactylum tricornutum,and Dunaliella bardawil were dominated by bacteria genera of Marivita(~80%),Dinoroseobacter(~47%),and Halomonas(~87%),respectively,indicating that every SSP cultures have their own distinct satellite bacterial community.The bacteria family Rhodobacteraceae was dominant in the two marine diatoms,whereas Halomonadaceae was dominant in the saline green microalga.Compared to their respective controls,the supply of 0.5% ethanol to SSP cultures promoted the growth of the satellite bacteria but did not cause a significant difference in species composition of satellite bacteria.Therefore,a low concentration of ethanol can promote the growth of bacteria in a non-selective way.This study enriched our knowledge about the effect of ethanol on aquatic microbes and provided a baseline for basic and applied biotechnological re search in the aquatic environment in the future. | Rediat ABATE Buce Hanoch HETHARUA Vishal PATIL Daner LIN Demeke KIFLE Junrong LIANG Changping CHEN Lin SUN Shuh-Ji KAO Yonghong BI Bangqin HUANG Yahui GAO | 2023 | Journal of Oceanology and Limnology2023，41，1： | 0 |
| 11 | Numerical Simulation of Mechanical Characteristics of a Metal Net for Deep-Sea Aquaculture显示文摘The investigation on hydrodynamic characteristics of a cage is important for its application in the deep-sea aquaculture in our country.With finite element method,the beam element is used to simulate a three-dimensional metal chain net,and the connector element is introduced as the interaction between metal net lines.A mechanical model for the metal net is constructed to simulate the hydrodynamic characteristics of a metal net subjected to fluid current forces.The static simulation results show that the relative errors of the displacements are 2.13%,4.19%,6.64%,and 11.35% compared with static concentrated load tests under concentrated forces of 20,40,60,and 80 N,respectively.Both the transient hydrodynamic deformations and drag forces of the netting structures under different current velocities are obtained by solving the hydrodynamic equation of the netting structure.The average relative error of the current forces obtained by numerical simulations shows an 8.13%deviation from the drag tests of the metal nets in the tank under five current velocities.The effectiveness and precision of the simulation approach are verified by static and dynamic tests.The proposed simulation approach will provide a good foundation for the further investigation of the hydrodynamic characteristics of deep-sea aquaculture metal cages and the parameter design for the safety of such cage systems. | CHEN Changping LIU Hangfei HUANG Yu YANG Jie LIANG Xinyu ZHANG Chaobi LOU Yafei ZHANG Yu | 2019 | Journal of Ocean University of China2019，18，6： | 0 |
| 12 | Crop classification based on the spectrotemporal signature derived from vegetation indices and accumulated temperature显示文摘Due to differences in environmental factors,the phenology of the same crop is different every year,causing divergent performances of the classifier built by spectral or time-series features Here,we proposed a random forest classifier(RFC)based on an asymmetric double S curve model fitted by accumulated temperature(AT)and Vegetation Index(VI),which can be applied in different years without ground samples.We built AT and VI time series from Moderate Resolution Imaging Spectroradiometer 8-day composites of land surface temperatures and Sentinel-2 and Landsat-8,respectively.The RFC was trained by characteristics from the asymmetric double S curve.We prepared RFC by ground samples of 2018 and 2019 and then mapped crops of the same region in 2017.Results indicated that,compared with diverse VI-AT series,the overall accuracy based on universal normalized vegetation index(UNVI)was the best of all(2017:F1=0.91,2018:F1=0.92,2019:F1=0.91)and better than that based on the UNVI-TIME series(2017:F1=0.84,2018:F1=0.81,2019:F1=0.88).It proved that the classification features from the VI-AT series have smaller intra-class differences in 2017,2018,and 2019. | Lifu Zhang Liaoran Gao Changping Huang Nan Wang Sa Wang Mingyuan Peng Xia Zhang Qingxi Tong | 2022 | International Journal of Digital Earth2022，15，1： | 0 |
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