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Multi-omics:Powerful accelerator for uncovering plant specialized metabolic pathways:The case of leonurine

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Molecular plant 2024年第1期17卷 13-15页

作者： Priyanka Gupta Anuj Sharma Dinesh A.Nagegowda Molecular plant Biology and Biotechnology Lab CSIR-Central Institute of Medicinal and Aromatic PlantsResearch CentreBengaluru 560065India Academy of scientific and Innovative research Ghaziabad 201002India

As sessile organisms,plants employ a unique adaptive strategy to survive harsh terrestrial environments and defend against or interact with coevolving animals and *** strategy involves expanding their metabolic systems,resulting in the production of plant specialized metabolites(PSMs)or natural ***,PSMs constitute a highly diverse group of compounds based on their common core structure,comprising terpenoids,phenylpropanoids,benzenoids,alkaloids and nitrogen-containing compounds,glucosinolates,indoles and sulfur-containing indole compounds,phenolics,and fatty acid derivatives(Garagounis et al.,2021).

关键词： expanding alkaloids sulfur

Gradient sparsification for efficient wireless federated learning with differential privacy

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Science China(Information Sciences) 2024年第4期67卷 272-288页

作者： Kang WEI Jun LI Chuan MA Ming DING Feng SHU Haitao ZHAO Wen CHEN Hongbo ZHU School of Electronic and Optical Engineering Nanjing University of Science and Technology Zhejiang Lab Key Laboratory of Computer Network and Information Integration(Southeast University) Ministry of Education Data61 Commonwealth Scientific and Industrial Research Organisation School of Information and Communication Engineering Hainan University School of Communications and Information Engineering Nanjing University of Posts and Telecommunications School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University

Federated learning(FL) enables distributed clients to collaboratively train a machine learning model without sharing raw data with each other. However, it suffers from the leakage of private information from uploading models. In addition, as the model size grows, the training latency increases due to the limited transmission bandwidth and model performance degradation while using differential privacy(DP)protection. In this paper, we propose a gradient sparsification empowered FL framework with DP over wireless channels, to improve training efficiency without sacrificing convergence performance. Specifically, we first design a random sparsification algorithm to retain a fraction of the gradient elements in each client’s local model, thereby mitigating the performance degradation induced by DP and reducing the number of transmission parameters over wireless channels. Then, we analyze the convergence bound of the proposed algorithm, by modeling a non-convex FL problem. Next, we formulate a time-sequential stochastic optimization problem for minimizing the developed convergence bound, under the constraints of transmit power, the average transmitting delay, as well as the client’s DP requirement. Utilizing the Lyapunov drift-plus-penalty framework, we develop an analytical solution to the optimization problem. Extensive experiments have been implemented on three real-life datasets to demonstrate the effectiveness of our proposed algorithm. We show that our proposed algorithms can fully exploit the interworking between communication and computation to outperform the baselines, i.e., random scheduling, round robin, and delay-minimization algorithms.

关键词： federated learning differential privacy gradient sparsification Lyapunov drift convergence analysis

Enhanced bioethanol production from sugarcane bagasse:combination of liquid hot water and deep eutectic solvent pretreatment for optimized enzymatic saccharification

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Frontiers of Chemical Science and Engineering 2024年第8期18卷 1-13页

作者： Xiaoling Xian Biying Li Shiyong Feng Jiale Huang Xinyuan Fu Ting Wu Xiaoqing Lin School of Chemical Engineering and Light industry Guangdong Provincial Key Laboratory of Plant Resources BiorefineryGuangdong University of TechnologyGuangzhou 510006China

In the present study,a sustainable pretreatment methodology combining liquid hot water and deep eutectic solvent is proposed for the efficient fractionation of hemicellulose,cellulose,and lignin from sugarcane bagasse,thereby facilitating the comprehensive utilization of both C5 and C6 *** application of this combined pretreatment strategy to sugarcane bagasse led to notable enhancements in enzymatic saccharification and subsequent *** results demonstrate that liquid hot water-deep eutectic solvent pretreatment yielded 85.05±0.66 g·L^(-1)of total fermentable sugar(glucose:60.96±0.21 g·L^(-1),xylose:24.09±0.87 g·L^(-1))through enzymatic saccharification of sugarcane ***,fermentation of the pretreated sugarcane bagasse hydrolysate yielded 34.33±3.15 g·L^(-1)of *** findings confirm the effectiveness of liquid hot water-deep eutectic solvent pretreatment in separating lignocellulosic components,thus presenting a sustainable and promising pretreatment method for maximizing the valuable utilization of biomass resources.

关键词： sugar cane bagasse synergistic pretreatment enzymatic saccharification ethanol

Quantitative and Qualitative Responses of Hydroponic Tomato Production to Different Levels of Salinity

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Phyton-International Journal of Experimental Botany 2024年第6期93卷 1311-1323页

作者： Khalid A.Al-Gaadi Ahmed M.Zeyada ElKamil Tola Abdullah M.Alhamdan Khalid A.M.Ahmed Rangaswamy Madugundu Mohamed K.Edrris Department of Agricultural Engineering College of Food and Agriculture SciencesKing Saud UniversityRiyadh11451Saudi Arabia Precision Agriculture research Chair Deanship of Scientific ResearchKing Saud UniversityRiyadh11451Saudi Arabia Chair of Dates industry&Technology Deanship of Scientific ResearchKing Saud UniversityRiyadh11451Saudi Arabia Agricultural research Centre Agricultural Engineering Research Institute(AEnRI)Giza12619Egypt

From economic and nutritional points of view,tomato is,historically,considered one of the most important *** signiﬁcant yield reduction,most commercial cultivars of tomato crops are sensitive to moderate levels of ***,high levels of salt stress can negatively affect the yield and quality of tomato ***,this study was conducted to evaluate the yield and fruit quality of three tomato cultivars(Forester,Ghandowra-F1,and Feisty-Red)cultivated hydroponically,under three different levels of nutrient solution *** of tomato fruits was performed based on quantity(number and weight of fruits,and total fruit yield),physical quality(color andﬁrmness),and chemical quality(refractometric index“Brix”,pH,EC,K^(+),Na^(+),and NO_(3)-).Experiments were conducted using three salinity levels of the nutrient solution with electrical conductivity values(dSm^(-1))of 2.5(control),6.0,and *** showed that the studied tomato cultivars were signiﬁcantly inﬂuenced by high salinity(9.5 dSm^(-1))in comparison to the low(2.5 dSm^(-1))and medium(6.0 dSm^(-1))levels of *** average,the highest fruit weight per plant of 1944.84 g and total fruit yield of 4.42 kgm^(-2) were observed at the low salinity level;however,no signiﬁcant differences were obtained in the two yield factors(single fruit weight and total fruit yield)for the low and medium salinity *** the other hand,a signiﬁcant reduction in tomato yield(31%)was associated with the high salinity level compared to the yield at low and medium salinity *** of physical quality parameters showed highly signiﬁcant differences among all salinity *** average,the maximum value of color change(1.72)was associated with the medium salinity level,and the maximum value ofﬁrmness(9.61 Ncm^(-1))was recorded at the high salinity *** levels and tomato cultivars introduced signiﬁcant differences in chemical quality parameters;however,no signiﬁcant differences in these

关键词： Quality cultivars yield color ﬁrmness brix

Cu single atoms embedded on hollow g-C_(3)N_(4)nanospheres with enhanced charge transfer and separation for efficient photocatalysis

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Chinese Chemical Letters 2024年第2期35卷 455-459页

作者： Linlin Zhang Jianjun Liao Yakun Li Wei Sun Chengjun Ge Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province School of Ecology and EnvironmentHainan UniversityHaikou 570228China Shandong Ocean Chemical industry scientific research Institute Weifang 262737China

Establishing an effective charge transfer mechanism in carbon nitride(g-C_(3)N_(4))to enhance its photocatalytic activity remains a limiting ***,the combination design of a single Cu atom with hollow g-C_(3)N_(4)nanospheres(Cu-N_(3)structure)has been proven to offer significant opportunities for this crucial ***,this structure endows two pathways for charge transfer in the reaction,namely,the N atoms in the three-dimensional planar structure are only bonded with a single Cu atom,and charge transfer occurs between the plane and the layered structure due to the bending of the interlayered g-C_(3)N_(4)hollow ***,Cu-N_(3)and hollow nanosphere structures have been certified to greatly enhance the efficiency of photogenerated carrier separation and transfer between the layers and planes by ultrafast spectral *** a result,this catalyst possesses unparalleled photocatalytic ***,the hydrogen production rate up to 2040μmol h^(−1) g^(−1),which is 51 times that of pure C_(3)N_(4)under visible light *** photocatalytic degradation performance of tetracycline and oxidation performance of benzene is also expressed,with a degradation rate of 100%,a conversion of 97.3%and a selectivity of 99.9%.This work focuses on the structure-activity relationship to provide the possibilities for the development of potential photocatalytic materials.

关键词： g-C_(3)N_(4) Cu single atom Hollow nanospheres Charge transfer pathways Photocatalytic hydrogen production

Fractal image analysis and bruise damage evaluation of impact damage in guava

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Information Processing in Agriculture 2024年第2期11卷 217-227页

作者： Than Htike Rattapon Saengrayap Hiroaki Kitazawa Saowapa Chaiwong School of Agro-industry Mae Fah Luang UniversityChiang Rai 57100Thailand Department of Agriculture Ministry of AgricultureLivestock and Irrigation 11181Myanmar Integrated Agri-Tech Ecosystem research Group Mae Fah Luang UniversityChiang Rai 57100Thailand Institute of Food research National Agriculture and Food Research OrganizationIbaraki 305-8642Japan

Impact bruise damage and quality of‘Gim Ju’guava were investigated for different drop heights and number of drops using fractal image *** the impact test,a stainless-steel metal ball(250 g)was dropped on fruit from three drop heights(0,0.3,0.6 m)either once or five *** quality was evaluated for impact energy,bruise area(BA),bruise volume(BV),bruise susceptibility,bruise score and pulp color(L*,a*,b*and C values).The fractal dimension(FD)value using fractal image analysis was analyzed at the bruise *** showed that five drops(0.3 m)with a high impact energy(3678.75 J)and a single drop(0.6 m)with a low impact energy(1471.50 J)exhibited no significant in BA,BV,bruise score as well as all color values(L*,a*,b*and C).While the FD value of a single drop from 0.6 m had a higher FD value than that of five drops from 0.3 *** is indicated that FD exhibited a better performance to classify impact bruising level of guava than BA,BV and color *** FD value gradually decreased with increase of storage time and bruise *** correlation coefficient(r)values of FD(r=−0.794 and−0.745)between BA and BV were more significant than those L*(r=−0.660 and−0.615)and a*(r=0.579 and 0.473).The coefficient of determination(R^(2))of the polynomial equation in bruised fruit(R^(2)=0.85 to 0.99)was greater than the control(no bruise)(R^(2)=0.80).A higher R^(2)val(0.88 and 0.92)was exhibited at five ***,FD analysis showed greater potential than color measurement to assess bruise impact damage in guava.

关键词： Bruise susceptibility Impact bruise Mechanical injury Transportation

Methane Emission from Rice Fields:Necessity for Molecular Approach for Mitigation

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Rice science 2024年第2期31卷 159-178页

作者： Sujeevan RAJENDRAN Hyeonseo PARK Jiyoung KIM Soon Ju PARK Dongjin SHIN Jong-Hee LEE Young Hun SONG Nam-Chon PAEK Chul Min KIM Department of Horticulture industry Wonkwang UniversityIksan 54538Korea plant Molecular Biology and Biotechnology research Center Gyeongsang National UniversityJinju 52828Korea Department of Southern Area Crop Science National Institute of Crop ScienceMiryang 50424Korea Department of Agricultural Biotechnology Seoul National UniversitySeoul 08826Korea Department of plant Science Plant Genomics and Breeding InstituteResearch Institute of Agriculture and Life SciencesSeoul National UniversitySeoul 08826Korea

Anthropogenic methane emissions are a leading cause of the increase in global averagetemperatures,often referred to as global *** soils play a significant role in methaneproduction,where the anaerobic conditions promote the production of methane by *** fields contribute a considerable portion of agricultural methane emissions,as riceplants provide both factors that enhance and limit methane *** plants harbor both methaneproducingand methane-oxidizing *** from rice roots provide source for methaneproduction,while oxygen delivered from the root aerenchyma enhances methane *** haveshown that the diversity of these microorganisms depends on rice cultivars with some genes characterizedas harboring specific groups of microorganisms related to methane ***,there is still aneed for research to determine the balance between methane production and oxidation,as rice plantspossess the ability to regulate net methane *** agronomical practices,such as fertilizerand water management,have been employed to mitigate methane ***,studiescorrelating agronomic and chemical management of methane with productivity are ***,evidences for breeding low-methane-emitting rice varieties are scattered largely due to the absence ofcoordinated breeding *** has indicated that phenotypic characteristics,such as rootbiomass,shoot architecture,and aerenchyma,are highly correlated with methane *** reviewdiscusses available studies that involve the correlation between plant characteristics and *** emphasizes the necessity and importance of breeding low-methane-emitting rice varieties inaddition to existing agronomic,biological,and chemical *** review also delves into the idealphenotypic and physiological characteristics of low-methane-emitting rice and potential breeding techniques,drawing from studies conducted

关键词： methane emission rice breeding aerenchyma greenhouse gas radial oxygen loss

MYC2： The Master in Action

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Molecular plant 2013年第3期6卷 686-703页

作者： Kemal Kazan John M. Manners commonwealth scientific and industrial research organization (CSIRO) plant industry Queensland Bioscience Precinct Brisbane Queensland 4067 Australia

Jasmonates （JAs） are plant hormones with essential roles in plant defense and development. The basic- helix-loop-helix （bHLH） transcription factor （TF） MYC2 has recently emerged as a master regulator of most aspects of the jasmonate （JA） signaling pathway in Arabidopsis. MYC2 coordinates JA-mediated defense responses by antagonistically regulating two different branches of the JA signaling pathway that determine resistance to pests and pathogens, respectively. MYC2 is required for induced systemic resistance （ISR） triggered by beneficial soil microbes while MYC2 function is targeted by pathogens during effector-mediated suppression of innate immunity in roots. Another notable function of MYC2 is the regulation of crosstalk between the signaling pathways of JA and those of other phytohormones such as abscisic acid （ABA）, salicylic acid （SA）, gibberellins （GAs）, and auxin （IAA）. MYC2 also regulates interactions between JA signaling and light, phytochrome signaling, and the circadian clock, MYC2 is involved in JA-regulated plant development, lateral and adventitious root formation, flowering time, and shade avoidance syndrome. Related bHLH TFs MYC3 and MYC4 also regulate both overlapping and distinct MYC2-regulated functions in Arabidopsis while MYC2 orthologs act as ＇master switches＇ that regulate JA-mediated biosynthesis of secondary metabolites. Here, we briefly review recent studies that revealed mechanistic new insights into the mode of action of this versatile TF.

关键词： ABA auxin DELLAs gibberellin hormonal crosstalk jasmonate JAZ proteins light signaling MED25 MYC2 plant defense phytochrome Pseudomonas syringae salicylic acid.

Integrating artificial intelligence and high-throughput phenotyping for crop improvement

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Journal of Integrative Agriculture 2024年第6期23卷 1787-1802页

作者： Mansoor Sheikh Farooq Iqra Hamadani Ambreen Kumar A Pravin Manzoor Ikra Yong Suk Chung Phenomics Laboratory Department of Plant Resources and EnvironmentJeju National UniversityJeju 63234Republic of Korea Council of scientific&industrial research Indian Institute of Integrative MedicinePulwamaJ&K 192301India Animal and Dairy Science University of WisconsinMadisonWI 530706United States of America Division of Fruit Science Faculty of HorticultureSher-e-Kashmir University of Agricultural Sciences and Technology of KashmirSrinagar 190025India

Crop improvement is crucial for addressing the global challenges of food security and sustainable *** advancements in high-throughput phenotyping(HTP)technologies and artificial intelligence(AI)have revolutionized the field,enabling rapid and accurate assessment of crop traits on a large *** integration of AI and machine learning algorithms with HTP data has unlocked new opportunities for crop *** algorithms can analyze and interpret large datasets,and extract meaningful patterns and correlations between phenotypic traits and genetic *** technologies have the potential to revolutionize plant breeding programs by providing breeders with efficient and accurate tools for trait selection,thereby reducing the time and cost required for variety ***,further research and collaboration are needed to overcome the existing challenges and fully unlock the power of HTP and AI in crop *** leveraging AI algorithms,researchers can efficiently analyze phenotypic data,uncover complex patterns,and establish predictive models that enable precise trait selection and crop *** aim of this review is to explore the transformative potential of integrating HTP and AI in crop *** review will encompass an in-depth analysis of recent advances and applications,highlighting the numerous benefits and challenges associated with HTP and AI.

关键词： artificial intelligence crop improvement data analysis high-throughput phenotyping machine learning precision agriculture trait selection