Exposure to air pollutants such as PM_(10),PM_(2.5),PM_(0.1),O_(3),CO,NO2,and SO_(2),and biological pollutants are important factors causing the evolution and furtherance of obstructive lung diseases(OLD),including as...Exposure to air pollutants such as PM_(10),PM_(2.5),PM_(0.1),O_(3),CO,NO2,and SO_(2),and biological pollutants are important factors causing the evolution and furtherance of obstructive lung diseases(OLD),including asthma and chronic obstructive pulmonary disease(COPD).Asthma is the most frequent chronic inflammatory airway disease,characterized by breathlessness,wheezing,chest tightness,and cough,together with the presence of exaggerated expiratory airflow fluctuation that varies over time.COPD is a heterogeneous lung condition characterized by chronic respiratory symptoms such as dyspnea,cough,expectoration,and/or exacerbations due to abnormalities of the airways and/or alveoli that cause persistent,often progressive,airflow obstruction.Understanding the molecular mechanisms and cellular processes based on the development of OLD on exposure to air pollutants will provide insights into the solution of pathogenesis,prevention,and treatment of these conditions.The molecular mechanisms and cellular process involved in signal transduction pathway plays a role in the binding of extracellular signaling molecules and ligands to receptors placed on the cell surface or on the inner side cell that trigger inflammation that occurs,especially when something important enters the cell to bring into a cascade response.This binding then alters the cell metabolism,shape,and gene expression in the airway.This review aimed to reveal the effect of air pollutants on the molecular mechanisms and cellular processes involved in the signal transduction pathways in OLD.展开更多
[Objectives]The paper was to investigate and identify the fungal diseases of wild and red heart kiwifruit in Qiandongnan Prefecture.[Methods]The pathogenic fungi were isolated from diseased leaves and fruits of wild a...[Objectives]The paper was to investigate and identify the fungal diseases of wild and red heart kiwifruit in Qiandongnan Prefecture.[Methods]The pathogenic fungi were isolated from diseased leaves and fruits of wild and red heart kiwifruit by tissue separation method.DNA sequencing was carried out by using the sequence analysis of ribosomal r DNA-ITS region,and molecular evolutionary trees were built by using MEGA 4.0 software.Finally,the pathogenic fungi were classified and identified by combining morphological observation.[Results]The main fungal diseases were anthracnose caused by Colletotrichum gloeosporioides on wild kiwifruit,fruit anthracnose caused by C.acutatum on red heart kiwifruit,leaf soft rot caused by Fusarium incarnatum on red heart kiwifruit,and brown spot caused by Alternaria alternata on red heart kiwifruit.[Conclusions]The study may provide some theoretical basis for the control of kiwifruit diseases in Qiandongnan Prefecture.展开更多
Wheat production is under continuous threat by various fungal pathogens.Identification of multipledisease resistance genes may lead to effective disease control via the development of cultivars with broad-spectrum res...Wheat production is under continuous threat by various fungal pathogens.Identification of multipledisease resistance genes may lead to effective disease control via the development of cultivars with broad-spectrum resistance.Plant Lysin-motif(LysM)-type pattern-recognition receptors,which elicit innate immunity by recognizing fungal pathogen associated molecular patterns such as chitin,are potential candidates for such resistance.In this study,we cloned a LysM receptor-like kinase gene,CERK1-V,from the diploid wheat relative Haynaldia villosa.CERK1-V expression was induced by chitin and Blumeria graminis f.sp.tritici,the causal agent of wheat powdery mildew.Heterologous overexpression of CERK1-V in wheat inhibited the development of three fungal pathogens,thereby increased resistance to powdery mildew,yellow rust,and Fusarium head blight.CERK1-V physically interacted with the wheat Lys M protein Ta CEBi Ps.CERK1-V/Ta CEBi Ps interaction promoted chitin recognition and activated chitin signal transduction in wheat.Transgenic plants with excessively high CERK1-V expression showed high resistance but abnormal plant growth,whereas plants with moderate expression level showed adequate resistance level with no marked impairment of plant growth.In transgenic lines,RNA-seq showed that gene expression involved in plant innate immunity was activated.Expression of genes involved in photosynthesis,ER stress and multiple phytohormone pathways was also activated.Optimized expression of CERK1-V in wheat can confer disease resistance without compromising growth or defense fitness.展开更多
Lung disease is the disease of the lung itself or lung manifestations of other diseases,including COPD,PTE,CAP,etc.In recent years,the incidence rate has been increased year after year.Many of these diseases have hidd...Lung disease is the disease of the lung itself or lung manifestations of other diseases,including COPD,PTE,CAP,etc.In recent years,the incidence rate has been increased year after year.Many of these diseases have hidden onset and complicated causes.Therefore,accurate diagnosis and treatment are very important.Studies have shown that RDW is closely linked to the diagnosis and treatment of lung diseases.This article analyzes the research on RDW and lung diseases at home and abroad,and briefly summarizes the diagnosis,severity and clinical prognosis of lung diseases by RDW,hoping to provide useful clues and reliable basis for clinical workers,to provide assistance for further application research of RDW in lung diseases.展开更多
Objective:To summarize the rules of acupoint selection of acupoint application to prevent and treat lung diseases under the background the post-epidemic era using data-mining technology.Method:The CNKI,Wanfang databas...Objective:To summarize the rules of acupoint selection of acupoint application to prevent and treat lung diseases under the background the post-epidemic era using data-mining technology.Method:The CNKI,Wanfang database,and VIP database were searched for clinical study articles on lung diseases treated by acupoint application published in the past 5 years.Data-eligible papers were extracted to establish a database of acupoint application for lung disease using Microsoft Excel 2019,with the goal of analyzing the frequency of acupoints,acupoint-meridian association,acupoint-location association,specific acupoint frequency,and cluster analysis.Association rules,consisting of acupoints with an application frequency of≥10,were devised by the Apriori algorithm to explore the correlation between acupoint groups and to analyze the rules of the compatibility of acupoint prescriptions.Results:A total of 229 eligible papers met our inclusion criteria.Forty-seven acupoints were applied,for a total frequency of acupoints of 1,035 times.Among these,acupoints for lung diseases were primarily distributed in the back-and-waist and chest-and-abdomen areas.From the analysis of the association rules,we obtained four groups of acupoint association rules based on acupoint clusters with a frequency≥10 and found that Feishu(BL 13),Tiantu(CV 22),Dazhui(GV 14),Dingchuan(EX-B1),and Danzhong(CV 17)constitute the core acupoints of prescriptions for clinical acupoint application to prevent and treat lung diseases.Conclusion:It is clearly shown that the core acupoints are relatively concentrated and that the selected acupoints were mainly locally selected,which could be a matching reference for the long-term prevention and treatment of lung diseases,including COVID-19.展开更多
The development of resistant maize cultivars is the most effective and sustainable approach to combat fungal diseases.Over the last three decades,many quantitative trait loci(QTL)mapping studies reported numerous QTL ...The development of resistant maize cultivars is the most effective and sustainable approach to combat fungal diseases.Over the last three decades,many quantitative trait loci(QTL)mapping studies reported numerous QTL for fungal disease resistance(FDR)in maize.However,different genetic backgrounds of germplasm and differing QTL analysis algorithms limit the use of identified QTL for comparative studies.The meta-QTL(MQTL)analysis is the meta-analysis of multiple QTL experiments,which entails broader allelic coverage and helps in the combined analysis of diverse QTL mapping studies revealing common genomic regions for target traits.In the present study,128(33.59%)out of 381 reported QTL(from 82 studies)for FDR could be projected on the maize genome through MQTL analysis.It revealed 38 MQTL for FDR(12 diseases)on all chromosomes except chromosome 10.Five MQTL namely 1_4,2_4,3_2,3_4,and 5_4 were linked with multiple FDR.Total of 1910 candidate genes were identified for all the MQTL regions,with protein kinase gene families,TFs,pathogenesis-related,and disease-responsive proteins directly or indirectly associated with FDR.The comparison of physical positions of marker-traits association(MTAs)from genome-wide association studies with genes underlying MQTL interval verified the presence of QTL/candidate genes for particular diseases.The linked markers to MQTL and putative candidate genes underlying identified MQTL can be further validated in the germplasm through marker screening and expression studies.The study also attempted to unravel the underlying mechanism for FDR resistance by analyzing the constitutive gene network,which will be a useful resource to understand the molecular mechanism of defense-response of a particular disease and multiple FDR in maize.展开更多
Recently, convolutional neural networks (CNNs) have been utilized in medical imaging research field and have successfully shown their ability in image classification and detection. In this paper we used a CNN combined...Recently, convolutional neural networks (CNNs) have been utilized in medical imaging research field and have successfully shown their ability in image classification and detection. In this paper we used a CNN combined with a wavelet transform approach for classifying a dataset of 448 lung CT images into 4 categories, e.g. lung adenocarcinoma, lung squamous cell carcinoma, metastatic lung cancer, and normal. The key difference between the commonly-used CNNs and the presented method is that in this method, we adopt the use of redundant wavelet coefficients at level 1 as inputs to the CNN, instead of using original images. One of the main advantages of the proposed method is that it is not necessary to extract regions of interest from original images. The wavelet coefficients of the entire image are used as inputs to the CNN. We compare the classification performance of the proposed method to that of an existing CNN classifier and a CNN-based support vector machine classifier. The experimental results show that the proposed method outperforms the other two methods and achieve the highest overall accuracy of 91.9%. It demonstrates the potential for use in classification of lung diseases in CT images.展开更多
Objective. To study the difference of interstitial lung diseases (ILDs) in high-resolution computerized tomography and pulmonary function test among different connective tissue diseases (CTDs). Methods. 209 patients w...Objective. To study the difference of interstitial lung diseases (ILDs) in high-resolution computerized tomography and pulmonary function test among different connective tissue diseases (CTDs). Methods. 209 patients with different CTDs were recruited and underwent lung HRCT and PFT. Eerythrocyte sedimentation rate (ESR), C-reactive protein (CRP), serum ferritin (SF), anti-SSA, and so on were tested. Based on HRCT, a patient was classified into ILD group (CTD+ILD) or non-ILD group (CTD-ILD). HRCT, PFT, and laboratory markers were compared according to CTDs and CTD-associated ILDs. Results. The incidences of ILD were 79.6%, 82.0%, 89.7%, and 97.1% respectively for Rheumatoid arthritis (RA), primary Sjogren’s symptom (pSS), dermatomyositis/polymyositis (DM/PM), and systemic sclerosis (SSc) groups. RA and pSS patients exhibited more nodules, patching, ground-glass opacity, and cord shadow foci in HRCT, DM/PM and SSc patients exhibited more reticular opacity and honeycombing foci. RA and pSS patients exhibited more obstructive ventilatory disorder, small airway dysfunction and emphysema in PFT, and DM/PM and SSc patients exhibited more restrictive ventilatory disorder, mixed ventilatory disorder. ESR, CRP and SF were significantly higher in total CTD+ILD group than in total CTD-ILD group (P = 0.047, 0.006, 0.004, respectively), and higher in different CTD+ ILD groups than in comparable CTD-ILD groups (P = 0.049, 0.048, and 0.023, pSS+ILD, SSc+ILD and RA+ILD compared to pSS-ILD, SSc-ILD and RA-ILD, respectively for ESR, CRP, SF). The positive rate of anti-SSA was significantly higher in DM/PM+ILD group than in DM/PM-ILD group (P = 0.025). Conclusions. The manifestations and incidences of ILDs differ among different CTDs in HRCT and PFT, and inflammation and anti-SSA are positively correlated with ILDs in different CTDs, which provide important evidences for judging disease condition and prognosis.展开更多
[Objective] The purpose was to understand species and occurrence status of major fugal diseases in sugarcane cultivation areas of Guangxi in China, so as to provide scientific references for integrated control against...[Objective] The purpose was to understand species and occurrence status of major fugal diseases in sugarcane cultivation areas of Guangxi in China, so as to provide scientific references for integrated control against sugarcane diseases. [Method] Species and occurrence degrees of major fugal diseases in sugarcane cultivation areas of Guangxi were investigated through randomized surveys, farmer interviews, literature references and location investigations from 2009 to 2011. Diseased sugarcane samples were collected and their species were identified through pathogen isolated culture and other relevant methods. [Result] Thirteen species of fungal diseases were identified in the survey, including pineapple disease [Thielaviopsis paradoxa (de Seynes) V. Hohnel], smut(Ustilago scitaminea Sydow), top rot disease (Fusarium moniliforme Sheldon), rust (Puccinia melanocephala H.﹠P. Syd.), leaf scald disease (Stagonospora sacchari Lo et Ling), red rot disease (Colletotrichum falcatum Went), zonate spot disease (Phyllosticta saccharicola P. Henn.), leaf red spot disease [Pellicularia sasakii (Shirai) Ito], white rash disease (Elsinoe sacchari L.), eye spot [Helminthosporium sacchari (Breda de Haan) Butler], yellow spot [Mycovellosiella koepkei (kruger) Deighton], brown stripe [Bipolaris stenospilum (Drechs.) Shoem.]and brown spot (Cercospora longipes Butler). Smut, rust, top rot, and pineapple disease were the most rampantly detrimental to quality and yield of sugarcane. [Conclusion] Smut is the most serious sugarcane disease; it is urgent to breed sugarcane varieties with high resistance and excellent agronomic characters to replace current sugarcane varieties susceptible to diseases.展开更多
TiO2 and 1%Ce3+-TiO2 prepared by hydrothermal method were characterize d by means of XRD and UV-visible diffusive reflectance spectra(DRS). The results of DRS analysis indicated that the 1%Ce3+-TiO2 catalyst had signi...TiO2 and 1%Ce3+-TiO2 prepared by hydrothermal method were characterize d by means of XRD and UV-visible diffusive reflectance spectra(DRS). The results of DRS analysis indicated that the 1%Ce3+-TiO2 catalyst had significant optical absorption in the visible region between 400—450 nm because electrons could be excited from the valence band of TiO2 or cerium oxides to Ce 4f level. To inve stigate the photocatalytic activity of different catalysts for crop fungal disea se control, a series of Quine tests were carried out for cucumber powdery mildew and litchi downy blight control in home-made photocatalytic reactor. The result s showed that TiO2 photocatalysis technique should be effective to inhibit the g rowth of fungal diseases to some extent and P-25 had a higher activity for antif ungal control than home-made TiO2 catalysts. TiO2-A prepared with Ti(SO4)2 is more active to contro l antifungal disease than TiO2-B prepared with TiOSO4 as precursor because the crystalline of TiO2-A was higher than that of TiO2-B. T he antifungal index litchi downy blight control was greatly enhanced by doping 1 % cerium ion. The antifungal index of 1.0%Ce3+-TiO2 was(47.0±4.7)%, (82.2±3.5) %, (100±0.0)% under indoor weaker light, solar light and black light, respectiv ely. The results of field experiments showed that the antifungal index of 1.0%Ce 3+-TiO2 was more than that of P-25. The antifungal index of 1.0%Ce3+-TiO2 was (8 1.7±6.5)%, (67.5±4.7)%, (38.6±1.9)% for litchi downy blight, maize southern l eaf spot, and rice blast, respectively. It was concluded that TiO2 photocatalysi s technique should be an effective way for litchi fungal disease control in prac tice.展开更多
Purpose: Interstitial Lung Diseases (ILD) are characterized by inflammation and fibrosis. It described the role of hyaluronic acid (HA) as an immune-regulator. It is not known if HA contributes to the recruitment of i...Purpose: Interstitial Lung Diseases (ILD) are characterized by inflammation and fibrosis. It described the role of hyaluronic acid (HA) as an immune-regulator. It is not known if HA contributes to the recruitment of inflammatory cells associated with ILD. If this hypothesis was correct, then concentrations of HA in bronchoalveolar lavage (BAL) should correlate with the severity of ILD. Methods: We collected BAL from 22 ILD patients and 15 control subjects. We determined HA and cytokine levels by ELISA. In vitro chemotaxis assays were performed by using a transwell system. Results: We found that ILD patients showed a significant increase in HA, IL-6 levels and the amount of cells in BAL compared to control subjects. We detected a significant positive correlation between HA and IL-6 levels (r = 0.53 and p In vitro, HA induced migration of macrophages and monocytes through a CD44-dependent process. BAL from patients with ILD stimulated macro-phage migration and this was abrogated by hyaluronidase. Conclusions: Our results support the hypothesis that HA contributes to the recruitment of monocytes towards the alveolar space, leading to exacerbation of lung inflammation in ILD patients.展开更多
Objective: The study aims to investigate the psychosocial health status of patients with pulmonary diseases in Jordan. Methods: A cross-sectional survey using 230 patients diagnosed with lung diseases from six major h...Objective: The study aims to investigate the psychosocial health status of patients with pulmonary diseases in Jordan. Methods: A cross-sectional survey using 230 patients diagnosed with lung diseases from six major hospitals in Jordan used to collect data in regards to depressive symptoms, psychological distress, coping, life satisfaction, and perceived social support. Data were collected from Jan 2013 to May 2013. Results: About 50% of the patients reported moderate levels of ability to effectively cope with life situations, life satisfaction, psychological distress, and perceived social support from family, friends and others. About 29% of the patients reported that they had moderate to severe depressive symptoms. Depressive symptoms had significant and negative correlation with life satisfaction and perceived social support (r = ﹣0.21 to ﹣0.39, p β = 2.72, p = 0.007), marital status (β = 2.63, p = 0.009), and life satisfaction (β = ﹣4.54, p ≤ 0.001) were the significant predictors of depressive symptoms. Conclusion: Health professionals need to screening for psychological disturbances for their patients. There should be integration between early detection of psychological disturbances and implementation of effective treatment plans.展开更多
Lungs are a vital human body organ,and different Obstructive Lung Diseases(OLD)such as asthma,bronchitis,or lung cancer are caused by shortcomings within the lungs.Therefore,early diagnosis of OLD is crucial for such ...Lungs are a vital human body organ,and different Obstructive Lung Diseases(OLD)such as asthma,bronchitis,or lung cancer are caused by shortcomings within the lungs.Therefore,early diagnosis of OLD is crucial for such patients suffering from OLD since,after early diagnosis,breathing exercises and medical precautions can effectively improve their health state.A secure non-invasive early diagnosis of OLD is a primordial need,and in this context,digital image processing supported by Artificial Intelligence(AI)techniques is reliable and widely used in the medical field,especially for improving early disease diagnosis.Hence,this article presents an AIbased non-invasive and secured diagnosis for OLD using physiological and iris features.This research work implements different machine-learning-based techniques which classify various subjects,which are healthy and effective patients.The iris features include gray-level run-length matrix-based features,gray-level co-occurrence matrix,and statistical features.These features are extracted from iris images.Additionally,ten different classifiers and voting techniques,including hard and soft voting,are implemented and tested,and their performances are evaluated using several parameters,which are precision,accuracy,specificity,F-score,and sensitivity.Based on the statistical analysis,it is concluded that the proposed approach offers promising techniques for the non-invasive early diagnosis of OLD with an accuracy of 97.6%.展开更多
Interstitial lung diseases (ILD’s) are a group of heterogenous chronic, ferociously progressive lung diseases. The aetiology of the aforementioned diseases is not always recognisable. The diagnosis of these dismal di...Interstitial lung diseases (ILD’s) are a group of heterogenous chronic, ferociously progressive lung diseases. The aetiology of the aforementioned diseases is not always recognisable. The diagnosis of these dismal diseases is a vivid challenge for the physicians. Through the intervening years different diagnostic algorithms have been implemented towards more accurate outcome. Different types of ILD’s demand diverse diagnostic approaches. In the latest years a novel diagnostic mini invasive approach seems to gain continuously terrain towards the diagnosis of ILD’s. Transbronchial cryobiopsy may be the Holy Grail in the diagnosis of these diseases or a misleading diagnostic tool in this challenging field.展开更多
Introduction: The high resolution computed tomography (HRCT) is an important part in the diagnostic approach of interstitial lung disease (ILD) associated with connective tissue diseases (CTD) by providing detailed in...Introduction: The high resolution computed tomography (HRCT) is an important part in the diagnostic approach of interstitial lung disease (ILD) associated with connective tissue diseases (CTD) by providing detailed information on the elementary lesion and the radiological pattern of ILD. Aim: to point out the role of HRCT in the diagnosis of ILD associated with CTD (ILD-CTD). Methods: A Retrospective descriptive study was conducted between 2008 and 2017. Data of 24 patients presenting ILD-CTD were collected. A review of HRCT was performed by a radiologist without knowledge of the CTD. Results: Predominant elementary lesion of ILD associated with dermatomyositis (9 cases) was ground glass opacity (n = 9) followed by consolidation (n = 6). Non Specific Interstitial Pneumonia (NSIP) was the most reported pattern (5 cases). Ground glass opacity was also the predominant elementary lesion for the 2 cases of scleroderma and in Sjögren’s syndrome (4 cases/5). NSIP was the predominant radiological presentation in these two CTD. Lymphoid interstitial pneumonia revealed Sjögren’s syndrome in one case. In rheumatoid arthritis (6 cases), the elementary HRCT lesions were irregular interlobular septal thickening (n = 4) and honeycombing (n = 4) consistent with Usual Interstitial Pneumonia (UIP) in 2 cases. Similarly UIP has been described for the 2 patients with lupus and mixed connective tissue disease. Conclusion: HRCT plays an important role in the management of ILD-CTD. Description of the HRCT elementary lesions and the radiological pattern of ILD can be helpful for CTD’s diagnosis.展开更多
Soil fungi play a very important role in the soil ecological environment. In agricultural production, long-term monoculture and continuous cropping lead to changes in fungal community diversity. However, the effects o...Soil fungi play a very important role in the soil ecological environment. In agricultural production, long-term monoculture and continuous cropping lead to changes in fungal community diversity. However, the effects of long-term monoculture and continuous cropping on strawberry plant health and fungal community diversity have not been elucidated. In this study, using high-throughput sequencing(HTS), we compared the fungal community and diversity of strawberry rhizosphere soil after various durations of continuous cropping(0, 2, 4, 6, 8, 10 and 12 years). The results showed that soil fungal diversity increased with consecutive cropping years. Specifically, the soil-borne disease pathogens Fusarium and Guehomyces were significantly increased after strawberry continuous cropping, and the abundance of nematicidal(Arthrobotrys) fungi decreased from the fourth year of continuous cropping. The results of correlation analysis suggest that these three genera might be key fungi that contribute to the changes in soil properties that occur during continuous cropping. In addition, physicochemical property analysis showed that the soil nutrient content began to decline after the fourth year of continuous cropping. Spearman's correlation analysis showed that soil pH, available potassium(AK) and ammonium nitrogen(NH_4^+-N) were the most important edaphic factors leading to contrasting beneficial and pathogenic associations across consecutive strawberry cropping systems.展开更多
BACKGROUND In recent years,the incidence of fungal infection has been increasing,often invading one or more systems of the body.However,it is rare for lymph nodes to be invaded without the involvement of other organs....BACKGROUND In recent years,the incidence of fungal infection has been increasing,often invading one or more systems of the body.However,it is rare for lymph nodes to be invaded without the involvement of other organs.CASE SUMMARY A 21-year-old man was admitted to hospital for repeated cough for 2 mo and abdominal pain for 1 mo.Physical examination revealed multiple lymph nodes enlargement,especially those in the left neck and groin.CT scan showed multiple lymph nodes enlargement in the chest,especially left lung,abdominal cavity,and retroperitoneum.The first lymph node biopsy revealed granulomatous lesions of lymph nodes,so intravenous infusion of Cefoperazone tazobactam combined with anti-tuberculosis drugs were given.Because fever and respiratory failure occurred 4 d after admission,mechanical ventilation was given,and Caspofungin and Voriconazole were used successively.However,the disease still could not be controlled.On the 11th day of admission,the body temperature reached 40° C.After mycosis of lymph nodes was confirmed by the second lymph node biopsy,Amphotericin B was given,and the patient recovered and was discharged from the hospital.CONCLUSION No fixed target organ was identified in this case,and only lymph node involvement was found.Caspofungin,a new antifungal drug,and the conventional first choice drug,Voriconazole,were ineffective,while Amphotericin B was effective.展开更多
Many organisms produce small proteins which exhibit antimicrobial activities. In recent decades, the biological role of antimicrobial peptides (AMP) has been recognized as the main factor in the defense mechanisms aga...Many organisms produce small proteins which exhibit antimicrobial activities. In recent decades, the biological role of antimicrobial peptides (AMP) has been recognized as the main factor in the defense mechanisms against a broad range of pathogenic microbes. The increased worldwide incidence of microbial resistance to antibiotics makes AMPs promising alternative for the control of microbial disease. Exploring the potential of AMPs in transgenic crops could lead to the development of new and improved cultivars which are resistant to various economically important diseases. In the present study, two fusion lytic peptide gene constructs coding for antimicrobial peptides were expressed in Nicotiana benthamiana tobacco plants and tested against three fungal pathogens, Sclerotinia sclerotiorum, Rhizoctonia solani, and Pythium sp. Detached-leaf bioassay was employed for the transgenic plants carrying the fusion lytic peptide constructs (ORF13 and RSA1), transgenic vector only control plants (1234), and wild-type control plants (WT) against the three fungal pathogens. Symptom area of each leaf was measured with high accuracy and data were recorded and processed by statistical analyses. The results showed that transgenic plant lines ORF13 and RSL1 have substantial resistance to Sclerotinia sclerotiorum infection, producing significantly smaller lesion areas compared to vector only plant line 1234 and wild type plants. These transgenic lines also provided resistance against Rhizoctonia solani, however, these lines were not effective against the other fungal pathogen Pythium sp.展开更多
Fungal disease affects more than a billion people worldwide,resulting in different types of fungus diseases facing life-threatening infections.The outer layer of your body is called the integumentary system.Your skin,...Fungal disease affects more than a billion people worldwide,resulting in different types of fungus diseases facing life-threatening infections.The outer layer of your body is called the integumentary system.Your skin,hair,nails,and glands are all part of it.These organs and tissues serve as your first line of defence against bacteria while protecting you from harm and the sun.The It serves as a barrier between the outside world and the regulated environment inside our bodies and a regulating effect.Heat,light,damage,and illness are all protected by it.Fungi-caused infections are found in almost every part of the natural world.When an invasive fungus takes over a body region and overwhelms the immune system,it causes fungal infections in people.Another primary goal of this study was to create a Convolutional Neural Network(CNN)-based technique for detecting and classifying various types of fungal diseases.There are numerous fungal illnesses,but only two have been identified and classified using the proposed Innovative Fungal Disease Diagnosis(IFDD)system of Candidiasis and Tinea Infections.This paper aims to detect infected skin issues and provide treatment recommendations based on proposed system findings.To identify and categorize fungal infections,deep machine learning techniques are utilized.A CNN architecture was created,and it produced a promising outcome to improve the proposed system accuracy.The collected findings demonstrated that CNN might be used to identify and classify numerous species of fungal spores early and estimate all conceivable fungus hazards.Our CNN-Based can detect fungal diseases through medical images;earmarked IFDD system has a predictive performance of 99.6%accuracy.展开更多
基金the funding provided by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Science and ICT(NRF-2020R1A2C1006506).
文摘Exposure to air pollutants such as PM_(10),PM_(2.5),PM_(0.1),O_(3),CO,NO2,and SO_(2),and biological pollutants are important factors causing the evolution and furtherance of obstructive lung diseases(OLD),including asthma and chronic obstructive pulmonary disease(COPD).Asthma is the most frequent chronic inflammatory airway disease,characterized by breathlessness,wheezing,chest tightness,and cough,together with the presence of exaggerated expiratory airflow fluctuation that varies over time.COPD is a heterogeneous lung condition characterized by chronic respiratory symptoms such as dyspnea,cough,expectoration,and/or exacerbations due to abnormalities of the airways and/or alveoli that cause persistent,often progressive,airflow obstruction.Understanding the molecular mechanisms and cellular processes based on the development of OLD on exposure to air pollutants will provide insights into the solution of pathogenesis,prevention,and treatment of these conditions.The molecular mechanisms and cellular process involved in signal transduction pathway plays a role in the binding of extracellular signaling molecules and ligands to receptors placed on the cell surface or on the inner side cell that trigger inflammation that occurs,especially when something important enters the cell to bring into a cascade response.This binding then alters the cell metabolism,shape,and gene expression in the airway.This review aimed to reveal the effect of air pollutants on the molecular mechanisms and cellular processes involved in the signal transduction pathways in OLD.
基金Supported by Identification and Control Analysis of Diseases and Insect Pests of Kiwifruit in Qiandongnan Prefecture(QKH H[2017]7178)Guizhou Key Laboratory of Qiandongnan Ethnic Characteristic Food Research and Development(QJH KY[2017]011)Talent Team Project of Guizhou Department of Education(QJHRCTD[2015]70)。
文摘[Objectives]The paper was to investigate and identify the fungal diseases of wild and red heart kiwifruit in Qiandongnan Prefecture.[Methods]The pathogenic fungi were isolated from diseased leaves and fruits of wild and red heart kiwifruit by tissue separation method.DNA sequencing was carried out by using the sequence analysis of ribosomal r DNA-ITS region,and molecular evolutionary trees were built by using MEGA 4.0 software.Finally,the pathogenic fungi were classified and identified by combining morphological observation.[Results]The main fungal diseases were anthracnose caused by Colletotrichum gloeosporioides on wild kiwifruit,fruit anthracnose caused by C.acutatum on red heart kiwifruit,leaf soft rot caused by Fusarium incarnatum on red heart kiwifruit,and brown spot caused by Alternaria alternata on red heart kiwifruit.[Conclusions]The study may provide some theoretical basis for the control of kiwifruit diseases in Qiandongnan Prefecture.
基金supported by the National Natural Science Foundation of China(31661143005,31801350 and 32011530167)National Key Research and Development Program of China(2016YFD0102001-004)China Postdoctoral Science Foundation(2018M642266)。
文摘Wheat production is under continuous threat by various fungal pathogens.Identification of multipledisease resistance genes may lead to effective disease control via the development of cultivars with broad-spectrum resistance.Plant Lysin-motif(LysM)-type pattern-recognition receptors,which elicit innate immunity by recognizing fungal pathogen associated molecular patterns such as chitin,are potential candidates for such resistance.In this study,we cloned a LysM receptor-like kinase gene,CERK1-V,from the diploid wheat relative Haynaldia villosa.CERK1-V expression was induced by chitin and Blumeria graminis f.sp.tritici,the causal agent of wheat powdery mildew.Heterologous overexpression of CERK1-V in wheat inhibited the development of three fungal pathogens,thereby increased resistance to powdery mildew,yellow rust,and Fusarium head blight.CERK1-V physically interacted with the wheat Lys M protein Ta CEBi Ps.CERK1-V/Ta CEBi Ps interaction promoted chitin recognition and activated chitin signal transduction in wheat.Transgenic plants with excessively high CERK1-V expression showed high resistance but abnormal plant growth,whereas plants with moderate expression level showed adequate resistance level with no marked impairment of plant growth.In transgenic lines,RNA-seq showed that gene expression involved in plant innate immunity was activated.Expression of genes involved in photosynthesis,ER stress and multiple phytohormone pathways was also activated.Optimized expression of CERK1-V in wheat can confer disease resistance without compromising growth or defense fitness.
基金Fund project:Health and family planning commission of Shanxi province(No.2018GW03)。
文摘Lung disease is the disease of the lung itself or lung manifestations of other diseases,including COPD,PTE,CAP,etc.In recent years,the incidence rate has been increased year after year.Many of these diseases have hidden onset and complicated causes.Therefore,accurate diagnosis and treatment are very important.Studies have shown that RDW is closely linked to the diagnosis and treatment of lung diseases.This article analyzes the research on RDW and lung diseases at home and abroad,and briefly summarizes the diagnosis,severity and clinical prognosis of lung diseases by RDW,hoping to provide useful clues and reliable basis for clinical workers,to provide assistance for further application research of RDW in lung diseases.
基金supported by Science and Technology Planning Project of Yunnan Provincial Science and Technology Department(No.202001AZ070001-050)Key Laboratory of Acupuncture and Tuina for Prevention and Treatment of Encephalopathy in Universities of Yunnan Province(No.2019YGZ04)Technology Innovation Team of Acupuncture Prevention and Treatment of Psychosis in Universities of Yunnan Province(No.2019YGC04).
文摘Objective:To summarize the rules of acupoint selection of acupoint application to prevent and treat lung diseases under the background the post-epidemic era using data-mining technology.Method:The CNKI,Wanfang database,and VIP database were searched for clinical study articles on lung diseases treated by acupoint application published in the past 5 years.Data-eligible papers were extracted to establish a database of acupoint application for lung disease using Microsoft Excel 2019,with the goal of analyzing the frequency of acupoints,acupoint-meridian association,acupoint-location association,specific acupoint frequency,and cluster analysis.Association rules,consisting of acupoints with an application frequency of≥10,were devised by the Apriori algorithm to explore the correlation between acupoint groups and to analyze the rules of the compatibility of acupoint prescriptions.Results:A total of 229 eligible papers met our inclusion criteria.Forty-seven acupoints were applied,for a total frequency of acupoints of 1,035 times.Among these,acupoints for lung diseases were primarily distributed in the back-and-waist and chest-and-abdomen areas.From the analysis of the association rules,we obtained four groups of acupoint association rules based on acupoint clusters with a frequency≥10 and found that Feishu(BL 13),Tiantu(CV 22),Dazhui(GV 14),Dingchuan(EX-B1),and Danzhong(CV 17)constitute the core acupoints of prescriptions for clinical acupoint application to prevent and treat lung diseases.Conclusion:It is clearly shown that the core acupoints are relatively concentrated and that the selected acupoints were mainly locally selected,which could be a matching reference for the long-term prevention and treatment of lung diseases,including COVID-19.
基金supported by Indian Council of Agricultural Research(ICAR),New Delhi for assistance.
文摘The development of resistant maize cultivars is the most effective and sustainable approach to combat fungal diseases.Over the last three decades,many quantitative trait loci(QTL)mapping studies reported numerous QTL for fungal disease resistance(FDR)in maize.However,different genetic backgrounds of germplasm and differing QTL analysis algorithms limit the use of identified QTL for comparative studies.The meta-QTL(MQTL)analysis is the meta-analysis of multiple QTL experiments,which entails broader allelic coverage and helps in the combined analysis of diverse QTL mapping studies revealing common genomic regions for target traits.In the present study,128(33.59%)out of 381 reported QTL(from 82 studies)for FDR could be projected on the maize genome through MQTL analysis.It revealed 38 MQTL for FDR(12 diseases)on all chromosomes except chromosome 10.Five MQTL namely 1_4,2_4,3_2,3_4,and 5_4 were linked with multiple FDR.Total of 1910 candidate genes were identified for all the MQTL regions,with protein kinase gene families,TFs,pathogenesis-related,and disease-responsive proteins directly or indirectly associated with FDR.The comparison of physical positions of marker-traits association(MTAs)from genome-wide association studies with genes underlying MQTL interval verified the presence of QTL/candidate genes for particular diseases.The linked markers to MQTL and putative candidate genes underlying identified MQTL can be further validated in the germplasm through marker screening and expression studies.The study also attempted to unravel the underlying mechanism for FDR resistance by analyzing the constitutive gene network,which will be a useful resource to understand the molecular mechanism of defense-response of a particular disease and multiple FDR in maize.
文摘Recently, convolutional neural networks (CNNs) have been utilized in medical imaging research field and have successfully shown their ability in image classification and detection. In this paper we used a CNN combined with a wavelet transform approach for classifying a dataset of 448 lung CT images into 4 categories, e.g. lung adenocarcinoma, lung squamous cell carcinoma, metastatic lung cancer, and normal. The key difference between the commonly-used CNNs and the presented method is that in this method, we adopt the use of redundant wavelet coefficients at level 1 as inputs to the CNN, instead of using original images. One of the main advantages of the proposed method is that it is not necessary to extract regions of interest from original images. The wavelet coefficients of the entire image are used as inputs to the CNN. We compare the classification performance of the proposed method to that of an existing CNN classifier and a CNN-based support vector machine classifier. The experimental results show that the proposed method outperforms the other two methods and achieve the highest overall accuracy of 91.9%. It demonstrates the potential for use in classification of lung diseases in CT images.
文摘Objective. To study the difference of interstitial lung diseases (ILDs) in high-resolution computerized tomography and pulmonary function test among different connective tissue diseases (CTDs). Methods. 209 patients with different CTDs were recruited and underwent lung HRCT and PFT. Eerythrocyte sedimentation rate (ESR), C-reactive protein (CRP), serum ferritin (SF), anti-SSA, and so on were tested. Based on HRCT, a patient was classified into ILD group (CTD+ILD) or non-ILD group (CTD-ILD). HRCT, PFT, and laboratory markers were compared according to CTDs and CTD-associated ILDs. Results. The incidences of ILD were 79.6%, 82.0%, 89.7%, and 97.1% respectively for Rheumatoid arthritis (RA), primary Sjogren’s symptom (pSS), dermatomyositis/polymyositis (DM/PM), and systemic sclerosis (SSc) groups. RA and pSS patients exhibited more nodules, patching, ground-glass opacity, and cord shadow foci in HRCT, DM/PM and SSc patients exhibited more reticular opacity and honeycombing foci. RA and pSS patients exhibited more obstructive ventilatory disorder, small airway dysfunction and emphysema in PFT, and DM/PM and SSc patients exhibited more restrictive ventilatory disorder, mixed ventilatory disorder. ESR, CRP and SF were significantly higher in total CTD+ILD group than in total CTD-ILD group (P = 0.047, 0.006, 0.004, respectively), and higher in different CTD+ ILD groups than in comparable CTD-ILD groups (P = 0.049, 0.048, and 0.023, pSS+ILD, SSc+ILD and RA+ILD compared to pSS-ILD, SSc-ILD and RA-ILD, respectively for ESR, CRP, SF). The positive rate of anti-SSA was significantly higher in DM/PM+ILD group than in DM/PM-ILD group (P = 0.025). Conclusions. The manifestations and incidences of ILDs differ among different CTDs in HRCT and PFT, and inflammation and anti-SSA are positively correlated with ILDs in different CTDs, which provide important evidences for judging disease condition and prognosis.
基金Supported by Science and Technology Development Fund of Guangxi Academy of Agriculture (201005)Guangxi Innovation Team of Special Project for Construction of Modern Agricultural Technology System (Sugarcane)(NYCYTXGXCXTD-02)Capacity-building of Guangxi Sugarcane Engineering and Technology Research Center (GKN 1131B01)
文摘[Objective] The purpose was to understand species and occurrence status of major fugal diseases in sugarcane cultivation areas of Guangxi in China, so as to provide scientific references for integrated control against sugarcane diseases. [Method] Species and occurrence degrees of major fugal diseases in sugarcane cultivation areas of Guangxi were investigated through randomized surveys, farmer interviews, literature references and location investigations from 2009 to 2011. Diseased sugarcane samples were collected and their species were identified through pathogen isolated culture and other relevant methods. [Result] Thirteen species of fungal diseases were identified in the survey, including pineapple disease [Thielaviopsis paradoxa (de Seynes) V. Hohnel], smut(Ustilago scitaminea Sydow), top rot disease (Fusarium moniliforme Sheldon), rust (Puccinia melanocephala H.﹠P. Syd.), leaf scald disease (Stagonospora sacchari Lo et Ling), red rot disease (Colletotrichum falcatum Went), zonate spot disease (Phyllosticta saccharicola P. Henn.), leaf red spot disease [Pellicularia sasakii (Shirai) Ito], white rash disease (Elsinoe sacchari L.), eye spot [Helminthosporium sacchari (Breda de Haan) Butler], yellow spot [Mycovellosiella koepkei (kruger) Deighton], brown stripe [Bipolaris stenospilum (Drechs.) Shoem.]and brown spot (Cercospora longipes Butler). Smut, rust, top rot, and pineapple disease were the most rampantly detrimental to quality and yield of sugarcane. [Conclusion] Smut is the most serious sugarcane disease; it is urgent to breed sugarcane varieties with high resistance and excellent agronomic characters to replace current sugarcane varieties susceptible to diseases.
文摘TiO2 and 1%Ce3+-TiO2 prepared by hydrothermal method were characterize d by means of XRD and UV-visible diffusive reflectance spectra(DRS). The results of DRS analysis indicated that the 1%Ce3+-TiO2 catalyst had significant optical absorption in the visible region between 400—450 nm because electrons could be excited from the valence band of TiO2 or cerium oxides to Ce 4f level. To inve stigate the photocatalytic activity of different catalysts for crop fungal disea se control, a series of Quine tests were carried out for cucumber powdery mildew and litchi downy blight control in home-made photocatalytic reactor. The result s showed that TiO2 photocatalysis technique should be effective to inhibit the g rowth of fungal diseases to some extent and P-25 had a higher activity for antif ungal control than home-made TiO2 catalysts. TiO2-A prepared with Ti(SO4)2 is more active to contro l antifungal disease than TiO2-B prepared with TiOSO4 as precursor because the crystalline of TiO2-A was higher than that of TiO2-B. T he antifungal index litchi downy blight control was greatly enhanced by doping 1 % cerium ion. The antifungal index of 1.0%Ce3+-TiO2 was(47.0±4.7)%, (82.2±3.5) %, (100±0.0)% under indoor weaker light, solar light and black light, respectiv ely. The results of field experiments showed that the antifungal index of 1.0%Ce 3+-TiO2 was more than that of P-25. The antifungal index of 1.0%Ce3+-TiO2 was (8 1.7±6.5)%, (67.5±4.7)%, (38.6±1.9)% for litchi downy blight, maize southern l eaf spot, and rice blast, respectively. It was concluded that TiO2 photocatalysi s technique should be an effective way for litchi fungal disease control in prac tice.
文摘Purpose: Interstitial Lung Diseases (ILD) are characterized by inflammation and fibrosis. It described the role of hyaluronic acid (HA) as an immune-regulator. It is not known if HA contributes to the recruitment of inflammatory cells associated with ILD. If this hypothesis was correct, then concentrations of HA in bronchoalveolar lavage (BAL) should correlate with the severity of ILD. Methods: We collected BAL from 22 ILD patients and 15 control subjects. We determined HA and cytokine levels by ELISA. In vitro chemotaxis assays were performed by using a transwell system. Results: We found that ILD patients showed a significant increase in HA, IL-6 levels and the amount of cells in BAL compared to control subjects. We detected a significant positive correlation between HA and IL-6 levels (r = 0.53 and p In vitro, HA induced migration of macrophages and monocytes through a CD44-dependent process. BAL from patients with ILD stimulated macro-phage migration and this was abrogated by hyaluronidase. Conclusions: Our results support the hypothesis that HA contributes to the recruitment of monocytes towards the alveolar space, leading to exacerbation of lung inflammation in ILD patients.
文摘Objective: The study aims to investigate the psychosocial health status of patients with pulmonary diseases in Jordan. Methods: A cross-sectional survey using 230 patients diagnosed with lung diseases from six major hospitals in Jordan used to collect data in regards to depressive symptoms, psychological distress, coping, life satisfaction, and perceived social support. Data were collected from Jan 2013 to May 2013. Results: About 50% of the patients reported moderate levels of ability to effectively cope with life situations, life satisfaction, psychological distress, and perceived social support from family, friends and others. About 29% of the patients reported that they had moderate to severe depressive symptoms. Depressive symptoms had significant and negative correlation with life satisfaction and perceived social support (r = ﹣0.21 to ﹣0.39, p β = 2.72, p = 0.007), marital status (β = 2.63, p = 0.009), and life satisfaction (β = ﹣4.54, p ≤ 0.001) were the significant predictors of depressive symptoms. Conclusion: Health professionals need to screening for psychological disturbances for their patients. There should be integration between early detection of psychological disturbances and implementation of effective treatment plans.
文摘Lungs are a vital human body organ,and different Obstructive Lung Diseases(OLD)such as asthma,bronchitis,or lung cancer are caused by shortcomings within the lungs.Therefore,early diagnosis of OLD is crucial for such patients suffering from OLD since,after early diagnosis,breathing exercises and medical precautions can effectively improve their health state.A secure non-invasive early diagnosis of OLD is a primordial need,and in this context,digital image processing supported by Artificial Intelligence(AI)techniques is reliable and widely used in the medical field,especially for improving early disease diagnosis.Hence,this article presents an AIbased non-invasive and secured diagnosis for OLD using physiological and iris features.This research work implements different machine-learning-based techniques which classify various subjects,which are healthy and effective patients.The iris features include gray-level run-length matrix-based features,gray-level co-occurrence matrix,and statistical features.These features are extracted from iris images.Additionally,ten different classifiers and voting techniques,including hard and soft voting,are implemented and tested,and their performances are evaluated using several parameters,which are precision,accuracy,specificity,F-score,and sensitivity.Based on the statistical analysis,it is concluded that the proposed approach offers promising techniques for the non-invasive early diagnosis of OLD with an accuracy of 97.6%.
文摘Interstitial lung diseases (ILD’s) are a group of heterogenous chronic, ferociously progressive lung diseases. The aetiology of the aforementioned diseases is not always recognisable. The diagnosis of these dismal diseases is a vivid challenge for the physicians. Through the intervening years different diagnostic algorithms have been implemented towards more accurate outcome. Different types of ILD’s demand diverse diagnostic approaches. In the latest years a novel diagnostic mini invasive approach seems to gain continuously terrain towards the diagnosis of ILD’s. Transbronchial cryobiopsy may be the Holy Grail in the diagnosis of these diseases or a misleading diagnostic tool in this challenging field.
文摘Introduction: The high resolution computed tomography (HRCT) is an important part in the diagnostic approach of interstitial lung disease (ILD) associated with connective tissue diseases (CTD) by providing detailed information on the elementary lesion and the radiological pattern of ILD. Aim: to point out the role of HRCT in the diagnosis of ILD associated with CTD (ILD-CTD). Methods: A Retrospective descriptive study was conducted between 2008 and 2017. Data of 24 patients presenting ILD-CTD were collected. A review of HRCT was performed by a radiologist without knowledge of the CTD. Results: Predominant elementary lesion of ILD associated with dermatomyositis (9 cases) was ground glass opacity (n = 9) followed by consolidation (n = 6). Non Specific Interstitial Pneumonia (NSIP) was the most reported pattern (5 cases). Ground glass opacity was also the predominant elementary lesion for the 2 cases of scleroderma and in Sjögren’s syndrome (4 cases/5). NSIP was the predominant radiological presentation in these two CTD. Lymphoid interstitial pneumonia revealed Sjögren’s syndrome in one case. In rheumatoid arthritis (6 cases), the elementary HRCT lesions were irregular interlobular septal thickening (n = 4) and honeycombing (n = 4) consistent with Usual Interstitial Pneumonia (UIP) in 2 cases. Similarly UIP has been described for the 2 patients with lupus and mixed connective tissue disease. Conclusion: HRCT plays an important role in the management of ILD-CTD. Description of the HRCT elementary lesions and the radiological pattern of ILD can be helpful for CTD’s diagnosis.
基金funded by the National Science and Technology Support Program of China (2014BAD16B07)
文摘Soil fungi play a very important role in the soil ecological environment. In agricultural production, long-term monoculture and continuous cropping lead to changes in fungal community diversity. However, the effects of long-term monoculture and continuous cropping on strawberry plant health and fungal community diversity have not been elucidated. In this study, using high-throughput sequencing(HTS), we compared the fungal community and diversity of strawberry rhizosphere soil after various durations of continuous cropping(0, 2, 4, 6, 8, 10 and 12 years). The results showed that soil fungal diversity increased with consecutive cropping years. Specifically, the soil-borne disease pathogens Fusarium and Guehomyces were significantly increased after strawberry continuous cropping, and the abundance of nematicidal(Arthrobotrys) fungi decreased from the fourth year of continuous cropping. The results of correlation analysis suggest that these three genera might be key fungi that contribute to the changes in soil properties that occur during continuous cropping. In addition, physicochemical property analysis showed that the soil nutrient content began to decline after the fourth year of continuous cropping. Spearman's correlation analysis showed that soil pH, available potassium(AK) and ammonium nitrogen(NH_4^+-N) were the most important edaphic factors leading to contrasting beneficial and pathogenic associations across consecutive strawberry cropping systems.
文摘BACKGROUND In recent years,the incidence of fungal infection has been increasing,often invading one or more systems of the body.However,it is rare for lymph nodes to be invaded without the involvement of other organs.CASE SUMMARY A 21-year-old man was admitted to hospital for repeated cough for 2 mo and abdominal pain for 1 mo.Physical examination revealed multiple lymph nodes enlargement,especially those in the left neck and groin.CT scan showed multiple lymph nodes enlargement in the chest,especially left lung,abdominal cavity,and retroperitoneum.The first lymph node biopsy revealed granulomatous lesions of lymph nodes,so intravenous infusion of Cefoperazone tazobactam combined with anti-tuberculosis drugs were given.Because fever and respiratory failure occurred 4 d after admission,mechanical ventilation was given,and Caspofungin and Voriconazole were used successively.However,the disease still could not be controlled.On the 11th day of admission,the body temperature reached 40° C.After mycosis of lymph nodes was confirmed by the second lymph node biopsy,Amphotericin B was given,and the patient recovered and was discharged from the hospital.CONCLUSION No fixed target organ was identified in this case,and only lymph node involvement was found.Caspofungin,a new antifungal drug,and the conventional first choice drug,Voriconazole,were ineffective,while Amphotericin B was effective.
文摘Many organisms produce small proteins which exhibit antimicrobial activities. In recent decades, the biological role of antimicrobial peptides (AMP) has been recognized as the main factor in the defense mechanisms against a broad range of pathogenic microbes. The increased worldwide incidence of microbial resistance to antibiotics makes AMPs promising alternative for the control of microbial disease. Exploring the potential of AMPs in transgenic crops could lead to the development of new and improved cultivars which are resistant to various economically important diseases. In the present study, two fusion lytic peptide gene constructs coding for antimicrobial peptides were expressed in Nicotiana benthamiana tobacco plants and tested against three fungal pathogens, Sclerotinia sclerotiorum, Rhizoctonia solani, and Pythium sp. Detached-leaf bioassay was employed for the transgenic plants carrying the fusion lytic peptide constructs (ORF13 and RSA1), transgenic vector only control plants (1234), and wild-type control plants (WT) against the three fungal pathogens. Symptom area of each leaf was measured with high accuracy and data were recorded and processed by statistical analyses. The results showed that transgenic plant lines ORF13 and RSL1 have substantial resistance to Sclerotinia sclerotiorum infection, producing significantly smaller lesion areas compared to vector only plant line 1234 and wild type plants. These transgenic lines also provided resistance against Rhizoctonia solani, however, these lines were not effective against the other fungal pathogen Pythium sp.
文摘Fungal disease affects more than a billion people worldwide,resulting in different types of fungus diseases facing life-threatening infections.The outer layer of your body is called the integumentary system.Your skin,hair,nails,and glands are all part of it.These organs and tissues serve as your first line of defence against bacteria while protecting you from harm and the sun.The It serves as a barrier between the outside world and the regulated environment inside our bodies and a regulating effect.Heat,light,damage,and illness are all protected by it.Fungi-caused infections are found in almost every part of the natural world.When an invasive fungus takes over a body region and overwhelms the immune system,it causes fungal infections in people.Another primary goal of this study was to create a Convolutional Neural Network(CNN)-based technique for detecting and classifying various types of fungal diseases.There are numerous fungal illnesses,but only two have been identified and classified using the proposed Innovative Fungal Disease Diagnosis(IFDD)system of Candidiasis and Tinea Infections.This paper aims to detect infected skin issues and provide treatment recommendations based on proposed system findings.To identify and categorize fungal infections,deep machine learning techniques are utilized.A CNN architecture was created,and it produced a promising outcome to improve the proposed system accuracy.The collected findings demonstrated that CNN might be used to identify and classify numerous species of fungal spores early and estimate all conceivable fungus hazards.Our CNN-Based can detect fungal diseases through medical images;earmarked IFDD system has a predictive performance of 99.6%accuracy.
