Genome-wide identification of the mitogen-activated protein kinase kinases in pear and their functional analysis in response to black spot

The mitogen-activated protein kinase(MAPK)cascade is crucial to plant growth,development,and stress responses.MAPK kinases(MAPKK)play a vital role in linking upstream MAPKK kinases(MAPKKK)with the downstream MAPK.Black spot is one of the most serious fungal diseases of pear which is an important part of the fruit industry in China.The MAPKK genes have been identified in many plants,however,none has been reported in pear(Pyrus bretschneideri).In order to explore whether MAPK gene of pear is related to black spot disease,we designed this experiment.The present study investigated eight putative PbrMAPKK genes obtained from the Chinese white pear genome.The phylogenetic analysis revealed that PbrMAPKK genes were divided into A,B,C,and D groups.These PbrMAPKK genes are randomly distributed on 7 out of 17 chromosomes and mainly originated from the whole-genome duplication(WGD)event.The expression analysis of PbrMAPKK genes in seven pear tissues and the leaves of susceptible and resistant varieties after Alternaria alternata infection by quantitative real-time PCR(qRT-PCR)identified seven candidate genes associated with resistance.Furthermore,virus-induced gene silencing(VIGS)indicated that PbrMAPKK6 gene enhanced resistance to pear black spot disease in pear.

The Spatial Patterns of Road Traffic Crash Black Spots and Emergency Facilities in Federal Capital City

This study aimed at determining the spatial patterns of Road Traffic Crash (RTC) black spots, Federal Road Safety Commission (FRSC) zebra points and emergency health care facilities in Federal Capital City (FCC). The aim was to provide stakeholders with information that will aid their understanding of accident prone locations and accessible rescue possibilities for accident victims on the roads in FCT. GPS Map 76S Mark (GARMIN) was used to locate and pick coordinates of data in the study area. A total of 16 possible emergency health care facilities, seventy (70) RTC black spots and Five Zebra point locations were obtained from FRSC. ArcGIS 10.0 was used to compute the data by plotting the coordinates to produce maps of the spatial relationship and to carry out Nearest Neighbour Analysis (NNA). The result was further used to determine the spatial patterns of RTC black spots as well as patterns of the emergency facilities. Generally, the result shows that the spatial trend is turning towards dispersion. However, there is less than 1% likelihood that the dispersed patterns could be the result of random chance. It was recommended that, the Federal Road Safety Commission should be staffed with trained professionals that can be responsible for accident data surveillance and analysis using geospatial techniques.

Isolation and Identification of Black Spot Pathogen in Psidium guajava

[Objective]The aim was to isolate and identify the pathogen causing black spot disease in guava（Psidium guajava）,so as to determine its taxonomic status.[Method]The fungus was identified by determining its pathogenicity,observing its morphology characteristics and analyzing its ITS sequence.[Result]The pathogen causing black spot disease in guava was a strain of Guignardia mangiferae.[Conclusion]This study will provide theoretical basis for curing black spot disease of guava.

Disease Analysis and Pathogen Identification of Black Spot Disease of Chinese Cabbage [Alternaria brassicae (Berk.) Sace.] in Bijie City

[Objective] Disease analysis and pathogen identification of black spot disease of Chinese cabbage [Alternaria brassicae（Berk.） Sace.] in Bijie City of Guizhou Province was carried out,so as to raise the corresponding prevention measures.[Method] Pathogen was isolated from diseased leaves using tissue surface separation method for cultivation,microscopic examination,spore size determination and pathogen identification.[Result] Microscopic examination showed that the disease was caused by Alternaria sp.,the size of its spores was（15.0-38.5） μm×（7.5-13.5） μm.Combining with the characteristics of host and pathogen,the pathogen caused black spot disease of Chinese cabbage was identified to be Alternaria brassicicola.[Conclusion] A.brassicicola was the pathogenic fungi of black spot disease of Chinese cabbage in Bijie City of Guizhou Province,and damage caused by the disease could be reduced through agricultural measures and chemical control.

柑橘黑斑病(Citrus Black Spot)发生危害现状和研究进展

柑橘黑斑病(Citrus Black Spot,CBS)主要危害果实,在果皮上形成各种病斑而影响果实的外观品质和销售价格,严重时可造成田间落果和贮藏期果实腐烂。同时,黑斑病被欧盟列为A1类外来有害生物,美国对此也有严格的限制。因此,该病害影响柑橘鲜果的国际贸易。黑斑病的病原属球座菌(Guignardia),其无性态为叶点霉菌(Phyl-losticta)。宽皮柑橘(Citrus reticulata)、橙类(C.sinensis)和柠檬(C.limon)上为柑橘球座菌(G.citricarpa),无性态为柑橘叶点霉(P.citricarpa)。而最新研究表明亚洲柚黑斑病(也称tan spot,棕褐斑病)的病原与上述柑橘上的不同,其有性态尚未发现,无性态则为亚洲柑橘叶点霉菌(P.citriasiana)。此外,P.capitalensis作为一种内生菌普遍存在于各类柑橘中,常干扰病害的检测。鉴于该病害在我国发生普遍,局部危害严重,而相关信息匮乏,作者综合国内外相关研究报道,结合自身部分工作,就病害发生历史、分布和危害性,病害症状,病原菌种类,发生规律和检测,病害在欧盟国家的发生风险,以及病害的防治等方面作了较为详细的介绍,以期满足读者对柑橘黑斑病的全方位了解需求。

Cloning and Sequencing Characteristics of rDNA ITS Region of the Pathogen Causing Black Spot Disease on Tumorous Stem Mustard

Taking tumorous stem mustard infected by black spot disease as the research material, the ribosomal 5.8S rDNA and its flanking ITS region were cloned, sequenced and aligned in the study. The results showed that the base sequence of pathogens collected from five different sites was almost identical with that of Alternaria brassicae, and the similarity degree reached 99.68%, without base difference greater than 3 bp. It had obvious differences with the sequences of A. brassicicola and A. japonica, and the base difference was greater than 3 bp with a lot of fragment deletions. It was preliminarily determined that the pathogen cau- sing black spot disease on tumorous stem mustard was A. brassicae.

Analysis of causes and influence factors of small black spot defects in hot-dip galvanized pure Zn products

In this study,the factors affecting the formation of small black spot defects on the surface of a hot-dip galvanized pure zinc strip are analyzed. These defects are primarily formed w hen the iron-aluminum inhibition layer is incompletely formed or fails to form or when foreign matter adheres to the surface or embeds in the zinc layer.The defects can be reduced by controlling the cleanliness and activity of the strip base before coating,regulating the zinc pot process parameters,and ensuring the cleanliness of the passline and workshop.

Research Advances of Black Spot on Marigold

Marigold （ Tagetes erecta） originated in South America is the main raw material of lutein, which plays a vital role in treating maeula lutea retinae, im- proving immunity and delaying aging. Black spot is the main disease reducing marigold production. This paper concluded occurrence and damage of black spot, the species and symptoms of pathogens, pathogenic factors, selection of disease-resistant varieties and effective means against black spot, and made a briefly analysis of the existing problems and the corresponding solutions, in order to provide a theoretical basis for disease-resistant breeding of marigold.

Occurrence Factors and Comprehensive Prevention and Control of Chinese Rose Black Spot(Actinonema rosae)

In addition to conventional techniques,the prevention and control of Chinese rose black spot(Actinonema rosae)should be strengthened in the management of Chinese rose.The occurrence of Chinese rose black spot is closely related to plant residues,rainfall,cultivation conditions and varieties.On the basis of understanding the symptoms and occurrence regularity of Chinese rose black spot,combination measures of agricultural and chemical prevention and control should be taken.

Black Spot Determination of Traffic Accident Locations and Its Spatial Association Characteristic Analysis Based on GIS

In general, the location of traffic accidents is described as an address with text, so they are difficult to display on the map. The paper discusses how to utilize the geocoding technology and VRS-GPS positioning technology to record the traffic accidents with Geo-spatial information. Based on the spatial relationship between traffic accidents and road network elements, two-way association relationship is defined by spatial relationship computation. Then the paper presents the method which takes the potential of reducing accidents as an index to extract the black spots. Finally, in the discussion, the association relationship between black spots and traffic attributes is used to analyze the factors that resulting in traffic accidents.

Citrus black spot detection using hyperspectral imaging

This paper describes the development of a hyperspectral imaging approach for identifying fruits infected with citrus black spot(CBS).Hyperspectral images were taken of healthy fruit and those with CBS symptoms or other potentially confounding peel conditions such as greasy spot,wind scar,or melanose.Spectral angle mapper(SAM)and spectral information divergence(SID)hyperspectral analysis approaches were used to classify fruit samples into two classes:CBS or non-CBS.The classification accuracy for CBS with SAM approach was 97.90%,and 97.14% with SID.The combination of hyperspectral images and two classification approaches(SID and SAM)have proven to be effective in recognizing CBS in the presence of other potentially confounding fruit peel conditions.The study result can be a reference for the non-destructive detection of fruits infected with citrus black spot.

Identifying accident black spots based on the accident spacing distribution

The identification of accident black spots is of great significance for the prevention of traffic accidents.Commonly used accident black spot identification methods divide road sections for the analysis of accident data,the direct result of which is the splitting of accident black spots,which affects the results.This paper is based on three years of traffic accident data from the Beijing-Harbin Expressway,including the time and location of traffic accidents,form of the accident fatalities,severe injuries,slight injuries,and property damage only(PDO).To avoid road division effects,an identification method based on the accident spacing distribution is established by using quality control theory.The results show that the average number of accidents per kilometer by the method proposed in this paper is 42,which is much higher than 10,identified by other identification methods.The method proposed in this paper improves the accuracy of the identification results.This method avoids the problem of road segmentation found in other common methods and can more accurately reflect the spatial distribution of traffic accidents.Thus making the identification of accidents more scientific and accurate.

Identification and Control of Radish Alternaria Leaf Spot, Black Rot, Soft Rot, Virus Disease and Hollowness

The damage characteristics and occurrence regularity of radish alternaria leaf spot, black rot, soft rot, virus disease and hollowness are introduced in the paper, and the corresponding control method is proposed from two aspects of agricultural control and chemical control.

橄榄黑斑病病原菌的分离鉴定及防治药剂筛选

为明确引起潮州市橄榄黑斑病的病原菌种类,筛选有效防治药剂,对发病果实采用组织分离法进行了病原菌的分离与纯化,并结合形态学和分子生物学技术对病原菌进行鉴定。鉴定结果表明,引起橄榄黑斑病的病原菌为链格孢菌(Alternaria alternata)。通过菌丝生长速率法测定了14种杀菌剂对病原菌的抑菌效果,结果表明14种杀菌剂对链格孢菌均有抑制作用,其中3%中生菌素可湿性粉剂、80%克菌丹水分散粒剂、8%氟硅唑微乳剂和40%苯甲·嘧菌酯悬浮剂的抑菌效果较好,EC_(50)分别为1.267、1.207、1.100、0.944 mg·L^(-1)。田间防效测定结果表明,40%苯甲·嘧菌酯悬浮剂、8%氟硅唑微乳剂的防治效果显著,防效为68.58%、65.44%;而30%王铜、2%春雷霉素的防效较差,仅为10%左右。综上,推荐将8%氟硅唑微乳剂和40%苯甲·嘧菌酯悬浮剂2种药剂作为防控橄榄黑斑病的首选药剂。本研究可为橄榄黑斑病高效杀菌剂的筛选提供数据参考,并为其防控工作提供科学依据。

Research Hot Spots of Black Peanut

Taking the research papers on black peanut in National Knowledge Infrastructure(CNKI)as data sources,we determine the research hot spots on black peanut using word frequency analysis,and analyze the main research directions that change over the years.The results show that the relevant researches on black peanut are mainly concentrated in six themes(study of varieties,physiological property,cultivation management,development prospects,relationship with agriculture,and molecular level);varieties,physiology,cultivation and other aspects are the focus of current research hot spots;the researches on selection and breeding of variety and various physiological and ecological mechanisms,still need a breakthrough.

Identification and Biological Characteristics of Blank Spot Pathogen from Lilium lancifolium

With the increasing planting area of Lilium lancifolium, the leaf fungal dis-ease of L. lancifolium is becoming more and more serious. In June and July of 2014, the excessive rainfal leads to the serious outbreak of leaf disease of L. lanci-folium. In mid-June, the wilting rate of L. lancifolium in seriously-infected field was even up to 50%-70%. In some fields, the shoots of L. lancifolium even al wilted. The pathogen was isolated from the infected leaves of L. lancifolium. Its pathogenici-ty, spore morphology, 18S rDNA sequence and biological characteristics were stud-ied. The results showed the isolated pathogen was Alternaria alternate. The lethal temperature of mycelial growth was 55 ℃. The optimum pH was 6-7. Among the tested carbon sources and nitrogen sources, the optimum carbon source was mal-tose, and the optimum nitrogen source was yeast extract.

芽孢杆菌ZL397的鉴定及其对米尔伊丽莎白菌抑菌活性的研究

为解析菌株ZL397的分类地位及其对黑斑蛙源米尔伊丽莎白菌(Elizabethkingia miri-cola)的抑菌活性,利用形态分析、生理生化检测和16S rDNA序列分析,对ZL397进行菌种鉴定;采用细菌浓度测定法和扫描电镜观察法,考察ZL397对米尔伊丽莎白菌的抑菌活性;采用滤纸片法测定ZL397对12种病原菌的抑菌活性。攻毒保护试验选取成年黑斑蛙360只,随机分成4个组(每个处理3个重复,每个重复30只),即预防组、治疗组、攻毒对照组和对照组。试验期14 d。菌种鉴定、抑菌活性和抗菌谱试验结果表明,ZL397为特基拉芽孢杆菌(B.tequilensis);ZL397发酵上清液的50倍稀释液对米尔伊丽莎白菌的抑制率为90.29%,并可致使靶标菌细胞壁和膜破裂、菌体断裂;ZL397对多种病原细菌有抑制作用,尤其对藤黄八叠球菌(Micrococcus luteus)、鸡沙门氏菌(Salmonella gullina-rum)、金黄色葡萄球菌(Staphyloccocus aureus)、米尔伊丽莎白菌(Elizabethkingia miricola)、乙酸钙不动杆菌(Acinetobacter caleoaceticus)的抑菌活性较强。攻毒保护试验结果表明,7 d后攻毒对照组黑斑蛙存活率仅为41.11%,而添加0.1‰ZL397粉剂饲喂的预防组黑斑蛙存活率高达92.22%,两者差异显著(P<0.05);同时预防组体重增重率为35.15%,与不攻毒对照组接近,显著高于攻毒对照组(P<0.05)。综上结果得出,特基拉芽孢杆菌对黑斑蛙有抗病促生长功效,具有良好的应用前景。

内河航道事故黑点识别自适应参数DBSCAN聚类算法研究

内河水上交通事故时有发生,对水路运输安全、高效发展带来威胁。研究提出一种基于自适应参数的DBSCAN(Density-Based Spatial Clustering of Applications with Noise)方法,用于识别内河事故黑点水域。该方法支持对邻域半径ε和邻域中数据对象数目阈值P_(min)参数的自动选取,可提高聚类分析的精度和效率。基于2010—2019年长江干线下游散货船舶事故数据开展案例研究,对各典型事故黑点段的事故特征和事故原因进行分析,得到8个事故黑点。此外,采用Getis-Ord General G聚类识别事故黑点中的高等级事故区域,得到事故黑点及高等级事故主要分布于江心洲、桥区、港口码头区域。研究结果与实际情况基本吻合,一定程度上表明了该方法在内河水上交通事故分布特征分析上的科学性和实用性。

7075铝合金锻件氧化黑斑分析

采用低倍、高倍组织观察、成分分析等方法研究传动支架用7075铝合金锻件硫酸阳极氧化膜颜色发黑缺陷的原因及形成机理。结果表明,锻件成分偏析和淬透性差共同作用导致淬火时效后锻件不同位置析出的数量出现差异,阳极氧化过程中,强化相析出量多、尺寸较大的位置,因可溶强化相会造成氧化膜中的大量细小孔洞,使阳极氧化膜颜色发黑显现为黑斑。

舟山水域船舶交通事故黑点辨识及热点分析

随着我国港口吞吐量日益增长,沿海水域交通变得繁忙且船舶事故时有发生。以舟山水域作为研究对象,利用热力图、DBSCAN聚类算法及Getis-Ord General G分析方法对舟山船舶事故数据进行综合分析,识别水域交通事故黑点,提供事故的空间分布,并结合经纬度和事故严重程度信息揭示了潜在的高风险区域,从而为地区海事安全管理与事故预防提供科学依据。