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Symbiotic interactions as drivers of trade-offs in plants: effects of fungal endophytes on tall fescue

Fungal Diversity 2013年第3期60卷 5-14页

作者： Pedro E.Gundel Lucas A.Garibaldi Marjo Helander kari Saikkonen Department of Plant Production MTT Agrifood Research Finland31600 JokioinenFinland IFEVA-CONICET-Faculty of Agronomy Buenos Aires University(UBA)Buenos AiresArgentina Sede Andina Universidad Nacional de Río Negro(UNRN)and Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET)Mitre 6308400 San Carlos de BarilocheRío NegroArgentina Section of Ecology Department of BiologyUniversity of TurkuTurkuFinland

Studying the controls on biomass allocation trade-offs in plants are important since they affect harvestable product yields and are critical to understanding symbiotic *** fungal endophytes associate with cool-season grasses,growing systemically within the plant inter-cellular spaces and are transmitted through *** explore the endophytes influence on the relationship between the plant reproductive and vegetative aboveground biomass(reproductive effort:rE)and on the trade-off between two components of the reproductive biomass,number and weight of panicles(rPN),using tall fescue as a model *** endophyte-colonized,manipulatively endophyte-free,and naturally endophyte-free plants from Northern European wild-populations together with the cultivar Kentucky-31 were grown under different environmental conditions(nutrients x water).The endophyte had an effect on the rPN(E+:6.19,ME-:4.68 and E-:4.40)which indicates how reproductive biomass is partitioned into number and mass of panicles,but not on rE(≈0.06).As expected,wild plants showed higher reproductive effort(≈0.06)compared to the cultivar KY-31(0.05),irrespective of endophyte ***-colonized plants had lighter panicles than endophyte-free plants,a pattern that was clear among low-yielding ***,the tradeoff between rPN and rE was higher for endophytecolonized *** was again evident among plants with low rE indicating that colonized plants split the yield into either greater number of panicles and/or lighter *** effect of vertically transmitted endophytes has earlier been studied as ratios(***);however,our study shows that this approach may hide size-dependent endophyte effects on these *** study reveals that Neotyphodium endophyte affects trade-offs in tall fescue plants in a complex manner,and is influenced by a number of biological and abiotic factors.

关键词： Allometry Biomass partitioning Neotyphodium Festuca Symbiosis Plant-endophyte interaction

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Oxidative stress-induced mitochondrial dysfunction in a normal colon epithelial cell line

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World Journal of Gastroenterology 2017年第19期23卷 3427-3439页

作者： Nandakumar Packiriswamy kari F Coulson Susan J Holcombe Lorraine M Sordillo Department of Large Animal Clinical Sciences College of Veterinary Medicine Michigan State University

AIM To determine how a normal human colon cell line reacts to microbial challenge as a way to study oxidative stress-induced responses associated with inflammatory bowel *** Normal human colon epithelial cells(ATCC?CrL.1790?)were stimulated with either heat killed *** or heat killed murine cecal contents(HKC)and examined for several relevant biomarkers associated with inflammation and oxidative stress including cytokine production,mitochondrial autophagy and oxidant ***α,IL-1βand IL-8 protein concentrations were measured within the *** microscopy was performed to quantify the production of reactive oxygen species(rOS)using an oxidation responsive fluorogenic *** morphology and mitochondrial membrane potential was assessed by dual staining using COXIV antibody and a dye concentrating in active *** rOS scavenger was used to determine the source of rOS in stimulated *** was detected by staining for the presence of autophagic *** controls for autophagy and rOS/rNS experiments were treated with rapamycin and *** morphology,rOS production and autophagy microscopy experiments were analyzed using a custom acquisition and analysis microscopy software(Image J).rESULTS Exposing CrL.1790 cells to microbial challenge stimulated cells to produce several relevant biomarkers associated with inflammation and oxidative *** killed cecal contents treatment induced a 10-12fold increase in IL-8 production by CrL.1790 cells compared to unstimulated controls at 6 and 12 h(Presulted in a4-5 fold increase in IL-8 compared to the unstimulated control cells at each time point(Probust rOS production at 6(Prial morphologic abnormalities were detected at 6 and12 h based on reduced mitochondrial circularity and decreased mitochondrial membr

关键词： Colon cancer cell line CrL.1790 cells Inflammation Mitochondria Microbial stimulation Interleukin-8 Autophagy

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Selective recognition of Phenazine by 2,6-Dibutoxylnaphthalene-Based Tetralactam Macrocycle

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Chinese Journal of Chemistry 2019年第9期37卷 892-896页

作者： Li-Li Wang Yi-Kuan Tu Arto Valkonen kari rissanen Wei Jiang Shenzhen Grubbs Institute and Department of Chemistry Southern University of Science and TechnologyXueyuan Blvd 1088ShenzhenGuangdong 518055China Department of Chemistry Nanoscience CenterUniversity of JyvaskylaP.O.Box 35Jyv(a)skyl(a)40014Finland

A 2,6-dibutoxylnaphthalene-based tetralactam macrocycle was designed and *** macrocycle shows highly selective recognition to phenazine-a well-known secondary metabolite in bacteria and an emerging disinfection byproduct in drinking *** contrast,the macrocycle shows no binding to the structurally similar dibenzo-1,*** was revealed that hydrogen bonding,π-π and σ-π interactions are the major driving forces between phenazine and the new tetralactam macrocycle.A perfect complementarity in electrostatic potential surfaces may explain the high *** addition,the macrocycle shows fluorescent response to phenazine,demonstrating its potential in fluorescent detection of phenazine.

关键词： Phenazine 2,6-Dibutoxylnaphthalene-Based Tetralactam Macrocycle designed

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Non-systemic fungal endophytes in Festuca rubra plants infected by Epichloë festucae in subarctic habitats

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Fungal Diversity 2013年第3期60卷 25-32页

作者： Iñigo Zabalgogeazcoa Pedro E.Gundel Marjo Helander kari Saikkonen Instituto de recursos Naturales y Agrobiología(IrNASA-CSIC) Apartado 257SalamancaSpain MTT Agrifood research Finland Plant Production Research31600 JokioinenFinland IFEVA-CONICET–Faculty of Agronomy Buenos Aires University(UBA)Av.San Martín 4453(C1417DSE)Buenos AiresArgentina Section of Ecology Department of BiologyUniversity of Turku20014 TurkuFinland

Epichloëfestucae is an endophytic fungus that infects systemically the aerial tissues of the host grass Festuca *** fungus is transmitted vertically from the mother plant to ***,the presence of *** could affect the infection of a plant by other fungal *** could occur if *** metabolites produced in planta interfere negatively with other fungal infections;or alternatively,if the modulation of plant defenses by the endophyte favour further fungal *** have analyzed the presence of culturable non-systemic endophytes in plants of *** infected(E+)and not infected(E−)by *** in two subarctic habitats,meadows and riverbanks in Northern *** observed non-systemic endophyte infection frequencies were similar among E+and E−plants from riverbanks,and E+plants from *** contrast to these,the infection frequency was significantly lower in E−plants from *** result suggests that the presence of *** is not a main factor determining the presence of non-systemic endophytes in ***,plant genetic characteristics related to compatibility with *** and other endophytes in the more stable meadow populations might play a role in these fungus–fungus–plant *** a result of the survey,18 different taxa of non-systemic endophytes were identified in plants of *** were ascomycetes except for one *** endophytic taxa could not be ascribed to a genus,but sequence data indicated that they were conspecific with other unidentified endophytes that have been isolated in cold biomes at different locations.

关键词： Grass Fungi Diversity Finland

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基于SO-PAA-GAF和AdaBoost集成学习的高压断路器故障诊断

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电力系统保护与控制 2024年第3期52卷 152-160页

作者：司江宽吐松江·卡日范想高文胜朱炜新疆大学电气工程学院新疆乌鲁木齐830047 国网新疆电力公司哈密供电公司新疆哈密839000 清华大学电机工程与应用电子技术系电力系统及发电设备控制和仿真国家重点实验室北京100084

针对在小样本和复杂工况下高压断路器故障诊断识别精度不高的问题,提出一种基于振动信号处理和Ada Boost集成学习的高压断路器故障诊断方法。首先,搭建高压断路器实验平台并采集8种工况下的分闸振动信号。其次,对振动信号进行绝对值处理... 详细信息

针对在小样本和复杂工况下高压断路器故障诊断识别精度不高的问题,提出一种基于振动信号处理和Ada Boost集成学习的高压断路器故障诊断方法。首先,搭建高压断路器实验平台并采集8种工况下的分闸振动信号。其次,对振动信号进行绝对值处理后,使用分段聚合近似(piecewise aggregate approximation,PAA)进行分段平均,将输出的新序列采用格拉姆角场(Gramian angular field,GAF)转换成图片,并使用relief F方法对提取的高维图片特征进行重要度排序。最后,将保留的重要特征输入到Ada Boost集成学习模型进行故障诊断,并用蛇优化算法确定最优PAA分段步长和输入分类器特征数量,以进一步提高故障诊断精度。通过分析多种信号处理方式及分类模型可知,图片信号和Ada Boost集成学习模型能够有效处理振动信号并准确判断故障类型,为准确、可靠地诊断高压断路器故障提供了新途径。

关键词：高压断路器振动信号处理分段聚合近似格拉姆角场故障诊断

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Fault Diagnosis of Power Transformer Based on Improved ACGAN Under Imbalanced Data

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Computers, Materials & Continua 2023年第5期75卷 4573-4592页

作者： Tusongjiang.kari Lin Du Aisikaer.rouzi Xiaojing Ma Zhichao Liu Bo Li School of Electrical Engineering Xinjiang UniversityUrumqi830047China School of Mathematics Xinjiang UniversityUrumqi830047China

The imbalance of dissolved gas analysis(DGA)data will lead to over-fitting,weak generalization and poor recognition performance for fault diagnosis models based on deep *** handle this problem,a novel transformer fault diagnosis method based on improved auxiliary classifier generative adversarial network(ACGAN)under imbalanced data is proposed in this paper,which meets both the requirements of balancing DGA data and supplying accurate diagnosis *** generator combines one-dimensional convolutional neural networks(1D-CNN)and long short-term memories(LSTM),which can deeply extract the features from DGA samples and be greatly beneficial to ACGAN’s data balancing and fault *** discriminator adopts multilayer perceptron networks(MLP),which prevents the discriminator from losing important features of DGA data when the network is too complex and the number of layers is too *** experimental results suggest that the presented approach can effectively improve the adverse effects of DGA data imbalance on the deep learning models,enhance fault diagnosis performance and supply desirable diagnosis accuracy up to 99.46%.Furthermore,the comparison results indicate the fault diagnosis performance of the proposed approach is superior to that of other conventional ***,the method presented in this study has excellent and reliable fault diagnosis performance for various unbalanced *** addition,the proposed approach can also solve the problems of insufficient and imbalanced fault data in other practical application fields.

关键词： Power transformer dissolved gas analysis imbalanced data auxiliary classifier generative adversarial network

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Power Transformer Fault Diagnosis Using random Forest and Optimized Kernel Extreme Learning Machine

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Intelligent Automation & Soft Computing 2023年第7期37卷 691-705页

作者： Tusongjiang kari Zhiyang He Aisikaer rouzi Ziwei Zhang Xiaojing Ma Lin Du School of Electrical Engineering Xinjiang UniversityUrumqi830047China School of Mathematics Xinjiang UniversityUrumqi830047China Sichuan Energy Internet research Institute Under Tsinghua University Cheng Du610213China

Power transformer is one of the most crucial devices in power *** is significant to determine incipient faults of power transformers fast and *** features play critical roles in fault diagnosis *** order to further improve the fault diagnosis performance of power trans-formers,a random forest feature selection method coupled with optimized kernel extreme learning machine is presented in this ***,the random forest feature selection approach is adopted to rank 42 related input features derived from gas concentration,gas ratio and energy-weighted dissolved gas ***,a kernel extreme learning machine tuned by the Aquila optimization algorithm is implemented to adjust crucial parameters and select the optimal feature *** diagnosis accuracy is used to assess the fault diagnosis capability of concerned feature ***,the optimal feature subsets are applied to establish fault diagnosis *** to the experimental results based on two public datasets and comparison with 5 conventional approaches,it can be seen that the average accuracy of the pro-posed method is up to 94.5%,which is superior to that of other conventional *** diagnosis performances verify that the optimum feature subset obtained by the presented method can dramatically improve power transformers fault diagnosis accuracy.

关键词： Power transformer fault diagnosis kernel extreme learning machine aquila optimization random forest

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Selective recognition of aromatic hydrocarbons by endo-functionalized molecular tubes via C/N-H…π interactions

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Chinese Chemical Letters 2018年第1期29卷 91-94页

作者： Guo-Bao Huang Wei-Er Liu Arto Valkonen Huan Yao kari rissanen Wei Jiang College of Chemistry and Food Science Yulin Normal University College of Chemistry and Environmental Engineering Shenzhen University Department of Chemistry South University of Science and Technology of China Department of Chemistry and Nanoscience Center University of Jyvaskyla

Molecular recognition of aromatic hydrocarbons by four endo-functionalized molecular tubes has been studied by 1H NMr spectroscopy, computational methods, and single crystal X-ray crystallography. The binding selectivity is rationalized by invoking shape complementarity and dipole alignment. The non- covalent interactions are proved to predominantly be C/N-H...π interactions.

关键词： MacrocyclesAromatic hydrocarbonMolecular recognitionHost-guest chemistryHydrogen bond

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Phylogeny,divergence time estimation,and biogeography of the genus Heterobasidion(Basidiomycota,russulales)

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Fungal Diversity 2015年第2期71卷 185-200页

作者： Jia-Jia Chen Bao-Kai Cui Li-Wei Zhou kari Korhonen Yu-Cheng Dai Institute of Microbiology and Beijing Key Laboratory for Forest Pest Control Beijing Forestry UniversityP.O.Box 61Beijing 100083China State Key Laboratory of Forest and Soil Ecology Institute of Applied EcologyChinese Academy of SciencesShenyang 110164China Finnish Forest research Institute Vantaa UnitP.O.Box 1801301 VantaaFinland

There have been several investigations into the genus Heterobasidion,however,differentiation of species in these studies have depended on the gene regions *** defining of species,establishing species divergence times and establishing species biogeographical distributions have been ***,we used a multilocus phylogenetic approach and maximum parsimony,maximum likehood,and Bayesian analyses to infer the phylogenetic relationships of Heterobasidion *** addition,we focused on a fungus fossil-based approach and used the largest subunit of rNA polymerase II-the second subunit of rNA polymerase II(rPB1-rPB2)dataset to perform maximum likelihoodbased estimation and Bayesian binary analyses,to assess the divergence and biogeographical distributions of Heterobasidion *** Heterobasidion annousum/*** species complex clusters in three groups in the phylogenetic *** dating suggests that ancestral Heterobasidion species originated in Eurasia during the Early Miocene,followed by dispersal and speciation to other continents during the Middle Miocene and Early *** data are compatible with the previous viewpoint that *** and *** colonized North America via different routes,which has been interpreted as Beringian and Thulean North Atlantic *** addition,we propose that the occurrence of *** in the southern Hemisphere was probably due to recent human-mediated *** tectonics and long-distance dispersal are the most likely factors that influenced Heterobasidion speciation and biogeography.

关键词： Biogeography Divergence time Heterobasidion Phylogeny refugia

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基于VCA-UNet的全自动指针式仪表读数方法

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仪表技术与传感器 2024年第2期 36-43页

作者：刘煜博吐松江·卡日伊力哈木·亚尔买买提张淑敏崔传世新疆大学电气工程学院

针对现有仪表读数方法易受光照不均等因素影响,而导致读数误差大的问题,提出一种基于深度学习的全自动指针式仪表读数方法。首先,引入YOLOv7网络提取表盘区域;其次,采用文中提出的VCA-UNet(VGG16Net,improved skip connections and ASPP... 详细信息

针对现有仪表读数方法易受光照不均等因素影响,而导致读数误差大的问题,提出一种基于深度学习的全自动指针式仪表读数方法。首先,引入YOLOv7网络提取表盘区域;其次,采用文中提出的VCA-UNet(VGG16Net,improved skip connections and ASPP based U-Net)网络用于分割刻度线和指针;最后,引入PP-OCrv3网络自动获取仪表量程,并利用角度法确定仪表示数。实验结果表明:VCA-UNet网络的MIoU和MPA值较U-Net网络分别提升18.48%和9.36%,且普遍高于其他经典分割网络,仪表读数的平均相对误差为0.614%,且泛化实验的读数绝对误差相对较小,验证了读数方法的准确性和泛化性。

关键词：指针式仪表读数识别语义分割 YOLOv7 U-Net PP-OCrv3

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