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OsPDR20 is an ABCG metal transporter regulating cadmium accumulation in rice

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Journal of Environmental Sciences 2024年第2期136卷 21-34页

作者： he li Chao li Di Sun Zhi min Yang Department of Biochemistry and Molecular Biology College of Life SciencesNanjing Agricultural UniversityNanjing 210095China

Cadmium(Cd)is a non-essential toxic heavy metal,seriously posing high environmental risks to human *** genetic resources relevant to functional genes is important for understanding the metal absorption and accumulation in crops and bioremediation of Cd-polluted *** study investigated a functionally uncharacterized ATP binding cassette transporter G family(ABCG)gene encoding a Pleiotropic Drug Resistance 20(PDR20)type metal transporter which is localized to the plasma membrane of ***20 was transcriptionally expressed in almost all tissues and organs in lifespan and was strongly induced in roots and shoots of young rice under Cd *** expression of OsPDR20 in a yeast mutant ycf1 sensitive to Cd conferred cellular tolerance with less Cd *** of OsPDR20 by RNA interference(RNAi)moderately attenuated root/shoot elongation and biomass,with reduced chlorophylls in rice grown under hydroponic medium with 2 and 10μmol/L Cd,but led to more Cd accumulation.A field trial of rice grown in a realistic Cd-contaminated soil(0.40 mg/kg)showed that RNAi plants growth and development were also compromised compared to wild-type(WT),with smaller panicles and lower spikelet fertility but little effect on yield of ***,OsPDR20 suppression resulted in unexpectedly higher levels of Cd accumulation in rice straw including lower leaves and culm and *** results suggest that OsPDR20 is actively involved in Cd accumulation and homeostasis in rice *** increased Cd accumulation in the RNAi plants has the potential application in phytoremediation of Cd-polluted wetland soils.

关键词： Rice ABCG transporter Cadmium accumulation Phytoremediation

Gas liquid cylindrical cyclone flow regime identification using machine learning combined with experimental mechanism explanation

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Petroleum Science 2023年第1期20卷 540-558页

作者： Zhao-ming Yang Yu-Xuan he Qi Xiang Enrico Zio li-min he Xiao-ming Luo Huai Su Ji Wang Jin-Jun Zhang National Engineering Laboratory for Pipeline Safety/MOE Key Laboratory of Petroleum Engineering/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology China University of Petroleum-Beijing102249BeijingChina minES ParisTech PSL Research UniversityCRCSophia AntipolisFrance Dipartimento di Energia Politecnico di MilanoVia La Masa 3420156MilanoItaly College of Pipeline and Civil Engineering China University of Petroleum-East China266580QingdaoChina

The flow regimes of GLCC with horizon inlet and a vertical pipe are investigated in experiments,and the velocities and pressure drops data labeled by the corresponding flow regimes are *** with the flow regimes data of other GLCC positions from other literatures in existence,the gas and liquid superficial velocities and pressure drops are used as the input of the machine learning algorithms respectively which are applied to identify the flow *** choosing of input data types takes the availability of data for practical industry fields into consideration,and the twelve machine learning algorithms are chosen from the classical and popular algorithms in the area of classification,including the typical ensemble models,SVM,KNN,Bayesian Model and *** results of flow regimes identification show that gas and liquid superficial velocities are the ideal type of input data for the flow regimes identification by machine *** of the ensemble models can identify the flow regimes of GLCC by gas and liquid velocities with the accuracy of 0.99 and *** the pressure drops as the input of each algorithm,it is not the suitable as gas and liquid velocities,and only XGBoost and Bagging Tree can identify the GLCC flow regimes *** success and confusion of each algorithm are analyzed and explained based on the experimental phenomena of flow regimes evolution processes,the flow regimes map,and the principles of *** applicability and feasibility of each algorithm according to different types of data for GLCC flow regimes identification are proposed.

关键词： Gas liquid cylindrical cyclone Machine learning Flow regimes identification Mechanism explanation Algorithms

Analysis of GC×GC fingerprints from medicinal materials using a novel contour detection algorithm:A case of Curcuma wenyujin

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Journal of Pharmaceutical Analysis 2024年第4期14卷 542-551页

作者： Xinyue Yang Yingyu Sima Xuhuai Luo Yaping li min he Department of Pharmaceutical Engineering School of Chemical EngineeringXiangtan UniversityXiangtanHunan411105China Molecular Science and Biomedicine Laboratory(MBL) State Key Laboratory of Chemo/Biosensing and ChemometricsCollege of Chemistry and Chemical EngineeringAptamer Engineering Center of Hunan ProvinceHunan UniversityChangsha410082China Department of Quality Control Xiangtan Central HospitalXiangtanHunan411100China

This study introduces an innovative contour detection algorithm,PeakCET,designed for rapid and efficient analysis of natural product image fingerprints using comprehensive two-dimensional gas chromatogram(GC×GC).This method innovatively combines contour edge tracking with affinity propagation(AP)clustering for peak detection in GC×GC fingerprints,the first in this *** edge tracking signif-icantly reduces false positives caused by“burr”signals,while AP clustering enhances detection accuracy in the face of false *** efficacy of this approach is demonstrated using three medicinal products derived from Curcuma *** not only performs contour detection but also employs inter-group peak matching and peak-volume percentage calculations to assess the compositional similarities and differences among various ***,this algorithm compares the GC×GC fingerprints of Radix/Rhizoma Curcumae Wenyujin with those of products from different botanical *** findings reveal that genetic and geographical factors influence the accumulation of secondary metabolites in various plant *** sample exhibits unique characteristic components alongside common ones,and vari-ations in content may influence their therapeutic *** research establishes a foundational data-set for the quality assessment of Curcuma products and paves the way for the application of computer vision techniques in two-dimensional(2D)fingerprint analysis of GC×GC data.

关键词： GC×GC Image fingerprints Contour detection Clustering of mass spectra Curcuma products

Unlock the full potential of carbon cloth-based scaffolds towards magnesium metal storage via regulation on magnesiophilicity and surface geometric structure

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Journal of Energy Chemistry 2024年第3期90卷 423-434,I0010页

作者： Jing liu min Wang Zhonghua Zhang Jinlei Zhang Yitao he Zhenfang Zhou Guicun li College of Materials Science and Engineering Qingdao University of Science and TechnologyQingdao 266042ShandongChina Department of Pharmacy Jining Medical UniversityRizhao 276826ShandongChina Department of Energy and Power Engineering School of Energy and EnvironmentAnhui University of TechnologyMa’anshan 243000AnhuiChina

The development of rechargeable magnesium(Mg) batteries is of practical significance to upgrade the electric energy storage devices due to exceptional capacity and abundant resources of Mg-metal ***,the reversible Mg electrochemistry suffers from unsatisfied rate capability and lifespan,mainly caused by non-uniform distribution of *** this work,a fresh design concept of threedimensional carbon cloths scaffolds is proposed to overcome the uncontrollable Mg growth via homogenizing electric field and improving magnesiophilicity.A microscopic smooth and nitrogen-containing defective carbonaceous layer is constructed through a facile pyrolysis of ZIF8 on carbon *** revealed by finite element simulation and DFT calculation results,the smooth surface endows with uniform electric field distribution and simultaneously the nitrogen-doping species enable good magnesiophilicity of *** fine and uniform Mg nucleus as well as the inner electrodeposit behavior are also *** a result,an exceptional cycle life of 500 cycles at 4.0 mA cm^(-2) and 4.0 mA h cm^(-2) is firstly realized to our best ***,the functional scaffolds can be cycled for over 2200 h at 2.0 mA cm^(-2) under a normalized capacity of 5.0 mA h cm^(-2),far exceeding previous *** work offers an effective approach to enable the full potential of carbon cloths-based scaffolds towards metal storage for next generation battery applications.

关键词： Magnesium metal anodes Electrodeposition heterogeneous nucleation

Monte Carlo method for evaluation of surface emission rate measurement uncertainty

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Nuclear Science and Techniques 2024年第7期35卷 126-136页

作者： Yuan-Qiao li min lin li-Jun Xu Rui Luo Yu-he Zhang Qian-Xi Ni Yun-Tao liu China Institute of Atomic Energy Beijing102413China National Key Laboratory for Metrology and Calibration Techniques Beijing102413China Department of Radiation Oncology Hunan Cancer HospitalChangsha410031China The Affiliated Cancer Hospital of Xiangya School of Medicine Central South UniversityChangsha410031China

The aim of this study is to evaluate the uncertainty of 2πcx and 2πβsurface emission rates using the windowless multiwire proportional counter *** study used the Monte Carlo method(MCM)to validate the conventional Guide to the Expression of Uncertainty in Measurement(GUM)method.A dead time mea surement model for the two-source method was established based on the cha racteristics of a single--channel measurement systemn,and the voltage threshold correction factor measurement function was indi rectly obtained by fitting the threshold correction *** uncertainty in the surface emission rate was calculated using the GUM method and the law of propagation of *** MCM provided clear definitions for each input quantity and its uncertainty distribution,and the simulation training was realized witha complete and complex mathematical *** results of the surface emission rate uncertainty evaluation for four radioactive plane sources using both methods showed the uncertainty's consistency E_(n)he comparison of each source,and the uncertainty results ofthe GUM were all lower than those of the ***,the MCM has a more objective evaluation process and can serve as a validation tool for GUM results.

关键词： Surface emission rate Monte Carlo method Metrology Probability distribution function Dead time Low-energy loss correction Least-squares method

Attribution analysis of groundwater level fluctuation in the Xinxiang section of the Lower Yellow River's suspended river after the construction of the Xiaolangdi Reservoir

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Journal of Geographical Sciences 2024年第7期34卷 1348-1370页

作者： li he PING Jianhua LENG Wei MEI Xuemei ZHANG min liU Jiaqi School of Water Conservancy and Transportation Zhengzhou UniversityZhengzhou450001China College of Ecology and Environment Zhengzhou UniversityZhengzhou450001China Geothermal and Ecological Geology Research Center Zhengzhou UniversityZhengzhou450001China Institute of Geology and Geophysics CASBeijing100101China

The clear identification and quantification of the factors affecting groundwater systems is crucial for protecting groundwater resources and ensuring safety in agricultural *** Lower Yellow River(LYR)is a suspended river that replenishes groundwater continuously due to clear differences in the water head,especially in the Xinxiang *** its construction,the Xiaolangdi Reservoir has reversed the LYR’s *** accurately determine the factors influencing the groundwater level(GWL),the study area was divided into five subzones based on hydrogeology.A dynamic factor model(DFM),variational mode decomposition(VMD),and a multiple linear regression model were used to identify and quantify the factors influencing the *** impact of the suspended river on the groundwater before and after the construction of the Xiaolangdi Reservoir was *** results show that:(1)The rate of decrease in the GWL was 8.53×10^(–4)m/month,and the rate of decrease in the Yellow River water level(RWL)was 4.63×10^(–4)m/month.(2)Mountain front recharge(MFR)(scale=3 months)and precipitation(scale=9 months)were the dominant factors in subzones I and II,accounting for more than 40%of the fluctuation in the *** III was dominated by exploitation(scale=7 months)and precipitation(scale=12months),accounting for 28.43%,and 23.44%of changes in the GWL,*** subzone IV,agricultural irrigation(scale=12 months)was the major factor,accounting for32.47%of GWL changes,while in subzone V,the RWL(scale=12 months)accounted for52.52%of these changes.(3)The Xiaolangdi Reservoir has increased the lateral seepage of the suspended river and altered the inter-annual *** results of this study can provide a valuable reference for controlling groundwater overexploitation and ensuring water supply security.

关键词： groundwater level influencing factor dynamic factor analysis Xiaolangdi Reservoir Lower Yellow River lateral seepage of the Yellow River

Pseudomonotonicity of Nonlinear Transformations on Euclidean Jordan Algebras

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Acta Mathematicae Applicatae Sinica 2024年第1期40卷 192-204页

作者： Yuan-min li School of Mathematics and Statistics Xidian UniversityXi’an710071China

In this paper, we have introduced the concepts of pseudomonotonicity properties for nonlinear transformations defined on Euclidean Jordan algebras. The implications between this property and other P-properties have been studied. More importantly, we have solved the solvability problem of the nonlinear pseudomonotone complementarity problems over symmetric cones.

关键词： Euclidean Jordan algebra nonlinear transformation complementarity problem pseudomonotone

Functional prediction of tomato PLATZ family members and functional verification of Sl PLATZ17

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Journal of Integrative Agriculture 2024年第1期23卷 141-154页

作者： min Xu Zhao Gao Dalong li Chen Zhang Yuqi Zhang Qian he Yingbin Qi he Zhang Jingbin Jiang Xiangyang Xu Tingting Zhao College of Horticulture and Landscape Architecture Northeast Agricultural UniversityHarbin 150030China Key Laboratory of Biology and Genetic Improvement of Horticultural Crops(Northeast Region) Ministry of Agriculture and Rural AffairsHarbin 150030China

PLATZ is a novel zinc finger DNA-binding protein that plays an important role in regulating plant growth and development and resisting abiotic ***,there has been very little research on the function of this family gene in tomatoes,which limits its application in germplasm resource ***,the PLATZ gene family was identified and analyzed in tomato,and its roles were predicted and verified to provide a basis for in-depth research on SlPLATZ gene *** this study,the PLATZ family members of tomato were identified in the whole genome,and 19 SlPLATZ genes were *** prediction was conducted based on gene and promoter structure analysis and RNA-seq-based expression pattern *** genes that responded significantly under different abiotic stresses or were significantly differentially expressed among multiple tissues were screened as functional gene ***17 was selected for functional verification by experiment-based *** results showed that the downregulation of SlPLATZ17 gene expression reduced the drought and salt tolerance of tomato *** plants overexpressing SlPLATZ17 had larger flower sizes and long,thin petals,adjacent petals were not connected at the base,and the stamen circumference was *** study contributes to understanding the functions of the SlPLATZ family in tomato and provides a reference for functional gene screening.

关键词： tomato PLATZ family abiotic stresses plant development

Multi-omics analyses provide insights into the evolutionary history and the synthesis of medicinal components of the Chinese wingnut

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Plant Diversity 2024年第3期46卷 309-320页

作者： Zi-Yan Zhang he-Xiao Xia Meng-Jie Yuan Feng Gao Wen-Hua Bao Lan Jin min li Yong li College of life Science and Technology Inner Mongolia Normal UniversityHohhot 010020China Key Laboratory of Biodiversity Conservation and Sustainable Utilization in Mongolian Plateau for College and University of Inner Mongolia Autonomous Region Hohhot 010022China College of Landscape and Art Henan Agricultural UniversityZhengzhou 450002China State Key Laboratory of Tree Genetics and Breeding Chinese Academy of ForestryBeijing 100091China

Chinese wingnut(Pterocarya stenoptera)is a medicinally and economically important tree species within the family ***,the lack of high-quality reference genome has hindered its in-depth *** this study,we successfully assembled its chromosome-level genome and performed multiomics analyses to address its evolutionary history and synthesis of medicinal components.A thorough examination of genomes has uncovered a significant expansion in the Lateral Organ Boundaries Domain gene family among the winged group in *** notable increase may be attributed to their frequent exposure to flood-prone *** further differentiation between Chinese wingnut and Cyclocarya paliurus,significant positive selection occurred on the genes of NADH dehydrogenase related to mitochondrial aerobic respiration in Chinese wingnut,enhancing its ability to cope with waterlogging *** genomic analysis revealed Chinese wingnut evolved more unique genes related to arginine synthesis,potentially endowing it with a higher capacity to purify nutrient-rich water *** of terpene synthase families enables the production of increased quantities of terpenoid volatiles,potentially serving as an evolved defense mechanism against herbivorous *** combined transcriptomic and metabolomic analysis,we identified the candidate genes involved in the synthesis of terpenoid *** study offers essential genetic resources for Chinese wingnut,unveiling its evolutionary history and identifying key genes linked to the production of terpenoid volatiles.

关键词： Genome Medicinal components Metabolome Pterocarya stenoptera Transcriptome