Extremophilic bacteria restrict the growth of Macrophomina phaseolina by combined secretion of polyamines and lytic enzymes

Macrophomina phaseolina is one of the pathogenic organisms of gummosis disease of orange tree (Citrus reticulata). The pathogen was identified from the observation of their colony size, shape, colour, mycelium, conidiophore, conidia, hyaline, spore, and appressoria in the PDA culture. The crude chloroform extracts from the organism showed antibacterial activity against a number of Gram positive and Gram-negative bacteria. The crude chloroform extract also showed promising antifungal activity against three species of the genus Aspergillus. The minimum inhibitory concentration (MIC) of the crude chloroform extract from M. phaseolina against Bacillus subtilis, Staphylococcus aureus, Escherichia coli, and Shigella sonnie were 128 ?gm, 256 ?gm, 128 ?gm and 64 ?gm/ml respectively. The LD50 (lethal dose) values of the cytotoxicity assay over brine shrimp of the crude chloroform extract from M. phaseolina was found to be 51.79 ?gm/ml. DOI: http://dx.doi.org/10.3329/cujbs.v5i1.13378 The Chittagong Univ. J. B. Sci.,Vol. 5(1 &2):125-133, 2010

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Infections of bean plant and field soil are linked to region, root rot pathogen, and agro-ecosystem

Hellenic Plant Protection Journal ◽

10.2478/hppj-2021-0002 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

B. Naseri ◽

M. Gheitury ◽

M. Veisi

Keyword(s):

Root Rot ◽

Multivariate Analyses ◽

Control Method ◽

Control Strategies ◽

Fusarium Species ◽

Macrophomina Phaseolina ◽

Soil Variables ◽

Plant Infection ◽

Pathogen Prevalence ◽

Soil Infestation

SummaryUnderstanding pathogen-agrosystem interaction is particularly essential when applying a control method to minimize pathogen prevalence prior to plant infection. To meet this requirement, frequency of major root rot pathogens isolated from bean root and seed, and their soil populations were examined in farmers’ fields. Multivariate analyses evidenced more frequent isolations of Fusarium solani and Rhizoctonia solani from root and seed compared to Macrophomina phaseolina and Fusarium oxysporum. Two Fusarium species had denser soil populations than R. solani and M. phaseolina. More frequent isolations of pathogens were detected in root and seed collected from Abhar and Khodabandeh compared to Kheirabad region. Agronomic and soil variables corresponded less closely to root infections compared to soil infestation and seed infections. Bean market class, herbicide application, and planting depth were linked to root, seed and soil infestations. Such information provides a basis for increased confidence in choosing appropriate control strategies for a pathogen and region in sustainable agriculture.

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Morphological and molecular identification of Macrophomina phaseolina in the pool of pathogens of sugar beet (Beta vulgaris) root rot : Screening of fungicides for its control

Research on Crops ◽

10.31830/2348-7542.2020.122 ◽

2020 ◽

Vol 21 (4) ◽

Keyword(s):

Sugar Beet ◽

Beta Vulgaris ◽

Molecular Identification ◽

Root Rot ◽

Macrophomina Phaseolina

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Histology of Infection of Hydrilla verticillata by Macrophomina phaseolina

10.21236/ada242194 ◽

1991 ◽

Author(s):

Gary F. Joye ◽

Rex Paul

Keyword(s):

Hydrilla Verticillata ◽

Macrophomina Phaseolina

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A Computational Method for the Identification of Endolysins and Autolysins

Protein and Peptide Letters ◽

10.2174/0929866526666191002104735 ◽

2020 ◽

Vol 27 (4) ◽

pp. 329-336 ◽

Cited By ~ 1

Author(s):

Lei Xu ◽

Guangmin Liang ◽

Baowen Chen ◽

Xu Tan ◽

Huaikun Xiang ◽

...

Keyword(s):

Support Vector Machine ◽

Cell Wall ◽

Experimental Results ◽

Computational Method ◽

Lytic Enzyme ◽

Support Vector ◽

Lytic Enzymes ◽

Data Set ◽

Optimal Feature ◽

Better Than

Background: Cell lytic enzyme is a kind of highly evolved protein, which can destroy the cell structure and kill the bacteria. Compared with antibiotics, cell lytic enzyme will not cause serious problem of drug resistance of pathogenic bacteria. Thus, the study of cell wall lytic enzymes aims at finding an efficient way for curing bacteria infectious. Compared with using antibiotics, the problem of drug resistance becomes more serious. Therefore, it is a good choice for curing bacterial infections by using cell lytic enzymes. Cell lytic enzyme includes endolysin and autolysin and the difference between them is the purpose of the break of cell wall. The identification of the type of cell lytic enzymes is meaningful for the study of cell wall enzymes. Objective: In this article, our motivation is to predict the type of cell lytic enzyme. Cell lytic enzyme is helpful for killing bacteria, so it is meaningful for study the type of cell lytic enzyme. However, it is time consuming to detect the type of cell lytic enzyme by experimental methods. Thus, an efficient computational method for the type of cell lytic enzyme prediction is proposed in our work. Method: We propose a computational method for the prediction of endolysin and autolysin. First, a data set containing 27 endolysins and 41 autolysins is built. Then the protein is represented by tripeptides composition. The features are selected with larger confidence degree. At last, the classifier is trained by the labeled vectors based on support vector machine. The learned classifier is used to predict the type of cell lytic enzyme. Results: Following the proposed method, the experimental results show that the overall accuracy can attain 97.06%, when 44 features are selected. Compared with Ding's method, our method improves the overall accuracy by nearly 4.5% ((97.06-92.9)/92.9%). The performance of our proposed method is stable, when the selected feature number is from 40 to 70. The overall accuracy of tripeptides optimal feature set is 94.12%, and the overall accuracy of Chou's amphiphilic PseAAC method is 76.2%. The experimental results also demonstrate that the overall accuracy is improved by nearly 18% when using the tripeptides optimal feature set. Conclusion: The paper proposed an efficient method for identifying endolysin and autolysin. In this paper, support vector machine is used to predict the type of cell lytic enzyme. The experimental results show that the overall accuracy of the proposed method is 94.12%, which is better than some existing methods. In conclusion, the selected 44 features can improve the overall accuracy for identification of the type of cell lytic enzyme. Support vector machine performs better than other classifiers when using the selected feature set on the benchmark data set.

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Toxin Production in Soybean (Glycine max L.) Plants with Charcoal Rot Disease and by Macrophomina phaseolina, the Fungus that Causes the Disease

Toxins ◽

10.3390/toxins11110645 ◽

2019 ◽

Vol 11 (11) ◽

pp. 645 ◽

Cited By ~ 8

Author(s):

Hamed K. Abbas ◽

Nacer Bellaloui ◽

Cesare Accinelli ◽

James R. Smith ◽

W. Thomas Shier

Keyword(s):

Culture Media ◽

Leaf Disc ◽

Toxin Production ◽

Macrophomina Phaseolina ◽

Economic Losses ◽

Limit Of Quantification ◽

Charcoal Rot ◽

Wide Range ◽

Soybean Plants ◽

Rot Disease

Charcoal rot disease, caused by the fungus Macrophomina phaseolina, results in major economic losses in soybean production in southern USA. M. phaseolina has been proposed to use the toxin (-)-botryodiplodin in its root infection mechanism to create a necrotic zone in root tissue through which fungal hyphae can readily enter the plant. The majority (51.4%) of M. phaseolina isolates from plants with charcoal rot disease produced a wide range of (-)-botryodiplodin concentrations in a culture medium (0.14–6.11 µg/mL), 37.8% produced traces below the limit of quantification (0.01 µg/mL), and 10.8% produced no detectable (-)-botryodiplodin. Some culture media with traces or no (-)-botryodiplodin were nevertheless strongly phytotoxic in soybean leaf disc cultures, consistent with the production of another unidentified toxin(s). Widely ranging (-)-botryodiplodin levels (traces to 3.14 µg/g) were also observed in the roots, but not in the aerial parts, of soybean plants naturally infected with charcoal rot disease. This is the first report of (-)-botryodiplodin in plant tissues naturally infected with charcoal rot disease. No phaseolinone was detected in M. phaseolina culture media or naturally infected soybean tissues. These results are consistent with (-)-botryodiplodin playing a role in the pathology of some, but not all, M. phaseolina isolates from soybeans with charcoal rot disease in southern USA.

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EFFECT OF SEED DIFFUSATES ON FUNGAL POPULATION AND GERMINATION OF SUNFLOWER SEEDS / EFECTO DE EXTRACTOS DE SEMILLAS SOBRE LA POBLACION DE HONGOS Y LA GERMINACION DE SEMILLAS DEL GIRASOL / EFFET DES EXTRAITS DE SEMENCE SUR LA POPULATION DE CHAMPIGNONS ET SUR LA GERMINATION DES GRAINES DE TOURNESOL

Helia ◽

10.1515/helia.2001.24.34.77 ◽

2001 ◽

Vol 24 (34) ◽

pp. 77-82 ◽

Cited By ~ 1

Author(s):

Rauf Bhutta ◽

M.H. Rahber Bhatti ◽

Ahmad Iftikhar

Keyword(s):

Seed Germination ◽

Capsicum Annuum ◽

Alternaria Alternata ◽

Fusarium Moniliforme ◽

Macrophomina Phaseolina ◽

Chemical Pollution ◽

Sunflower Seeds ◽

Fungal Population ◽

Fungal Populations ◽

Safe Control

SUMMARYAll four seed diffusates used for treatment of sunflower seeds, Azadirachtaindica, Capsicum annuum, Coriandrum sativum and Eugenia jambulana, reduced the populations of seed-borne fungi: Alternaria alternata, Drechslera tetramera, Emericellopsis terricola, Fusarium moniliforme, F.semitectum, Macrophomina phaseolina and Phoma oleracea. Of four seed diffusates, those from A.indica and C.sativum controlled the fungal populations almost 100%. Seed germination was increased in seed samples of both sunflower cultivars under study, HO-1 and NK-212. The obtained results indicate that seed diffusates could substitute costly chemicals for safe control of seed-borne diseases, protecting at the same time the environment from chemical pollution.

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