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Fusarium oxysporum

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Q: What are the different variations or types of Fusarium oxysporum?

Fusarium oxysporum is a species complex, meaning it encompasses a diverse range of genetically distinct strains or formae speciales that can each infect and cause disease in different host plants. While the core biology and pathogenicity mechanisms may be similar, the specific host range and virulence factors can vary significantly between the different Fusarium oxysporum variants.

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PubCompare.ai's powerful features can help researchers improve their Fusarium oxysporum research outcomes. The platform allows you to efficiently locate protocols from the literature, preprints, and patents, and then use AI-driven comparisons to identify the best protocols and products for your specific needs. This can save time, enhance reproducibility, and ensure you're using the most effective methods for studying this important fungal pathogen.

Fusarium oxysporum is a widespread fungal pathogen that causes devastating diseases in a variety of important crop plants, including tomatoes, bananas, and cotton.
This soil-borne fungus can infect the roots and vascular system of host plants, leading to wilting, stunting, and eventual plant death.
Effective control and prevention of Fusarium oxysporum infections remains a critical challenge for agricultural researchers and producers.
Furthering our understanding of this pathogen's biology, epidemiology, and host-pathogen interactions is essential for developing improved disease managemnet strategies.

Most cited protocols related to «Fusarium oxysporum»

Strawberry Genomic Variant Filtering and Genotyping

Unfiltered genomic variants were filtered to retain sites segregating in F. × ananassa cultivars. Cultivar variants were filtered to retain biallelic SNP sites with minor allele frequency ≥ 0.05, marker diversity ≥ 0.05, variant QUAL score > 20, and missing data < 15%. Variants requiring 2-probe assays (A/T or C/G) were excluded. 71-nt marker probe sequences were obtained by retrieving 35-nt SNP flanking sequences from the Camarosa v1.0 assembly. Markers containing ambiguous sequences (Ns), or identical probes were excluded. A set of 6.6M probes was submitted to Affymetrix for scoring and recommendation based on strand, kmer uniqueness, and buildability. Probes were scored for likelihood of binding interference or non-specific binding based on off-target variant counts in the binding region, the sum of minor allele frequencies of interfering variants, and counting off-target BLAST alignments (> 90% id, > 90% query length) in the genome. A final screening panel of 850,000 markers, including 16,000 iStraw probes (Bassil et al., 2015 (link); Verma et al., 2016 (link)), was submitted to Affymetrix for constructing the 850K screening array. A panel of 384 octoploid strawberry genotypes was screened on the 850K array. Marker genotype clusters were scored using the Axiom Analysis Suite. Clustering was performed in “polyploid” mode with a marker call-rate threshold of 0.89. Samples were filtered with a dQC threshold of 0.82 and QC CR threshold of 93. A subset of 49,483 probes was selected from polymorphic, QC-passing markers (“PolyHighResolution”, “NoMinorHomozygote”, “OffTargetVariant”) on the 850K screening array to populate the 50K production array. 5,809 LD-pruned (r² < 0.50) probes were pre-selected from the iStraw design, in addition to 47 probes associated with QTL for Fusarium oxysporum resistance and the Wasatch day neutral flowering locus (unpublished data). We assigned two markers per gene to a set of 2,878 genes located in expression networks related to flowering and fruit development (Kang et al., 2013 (link); Hollender et al., 2014 (link)), or associated with R-gene domains. Non-overlapping 50 kb physical windows were parsed to select single markers containing the highest pairwise diversity in F. × ananassa genotypes. The remainder of the 50K array was populated by iteratively parsing 50 kb physical windows to select random QC-passing markers for uniform genomic distribution. 1,421 octoploid samples, including the Camarosa x Del Norte mapping population (n = 182), and PI552277 x PI612493 mapping population (n = 96), were genotyped on the 50K array and processed using the Axiom Analysis Suite using the same settings as the 850K dataset.

Hardigan M.A., Feldmann M.J., Lorant A., Bird K.A., Famula R., Acharya C., Cole G., Edger P.P, & Knapp S.J. (2020). Genome Synteny Has Been Conserved Among the Octoploid Progenitors of Cultivated Strawberry Over Millions of Years of Evolution. Frontiers in Plant Science, 10, 1789.

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Publication 2019

Biological Assay Fruit Fusarium oxysporum Genes Genes, vpr Genetic Markers Genome Neutrophil Physical Examination Polyploidy Strawberries

Transcriptomic analysis of Fusarium oxysporum in blood

Fusarium oxysporum f.sp.lycopersici race 2 isolate 4287 was used in this experiment. Freshly obtained microconidia were germinated for 16 h at C in minimal medium (MM) (47 (link)) with 25 mM sodium glutamate and 20 mM HEPES buffer, at pH 7.4. The mixture was then moved to C for 4 h, and then transferred to fresh MM or to heparinized human whole blood (Dunn Labortechnik GmbH) for 30 min at C. Mycelia were recovered, flash frozen and used for RNA extraction as previously described (48 ). The poly(A) RNA fraction was enriched using the MicroPoly(A)Purist kit (Ambion, Darmstadt, Germany) and fragment libraries were prepared using the SOLiD Total RNA-Seq Kit (Ambion). Approximately 700 million library beads were loaded onto one full slide and sequenced to a level of 50 bases using the Applied Biosystems SOLiD 4 system with SOLiD MM50 chemistry. We obtained two biological replicates for both blood (wt_B_30_37) and MM (wt_M_30_37) conditions and mapped them onto the reference genome from the Ensembl Fungi database (49 (link)) (release 14) using Lifescope software. CLC Bio tools were used to quantify the gene expression.

Tarazona S., Furió-Tarí P., Turrà D., Pietro A.D., Nueda M.J., Ferrer A, & Conesa A. (2015). Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package. Nucleic Acids Research, 43(21), e140.

Publication 2015

Biopharmaceuticals BLOOD Buffers DNA Library Freezing Fungi Fusarium oxysporum Gene Expression Genome HEPES Homo sapiens Mycelium RNA, Polyadenylated Sodium Glutamate Whole Transcriptome Sequencing

Genotyping of Chickpea Composite Collection

All the 3000 accessions of the chickpea composite collection including the two internal controls, Annigeri (ICC 4918) and ICCV 2, were grown in the field. ICCV 2 is an early maturing (flowers about two weeks earlier and matures one week earlier than Annigeri) kabuli chickpea with resistance to wilt (Fusarium oxysporum f. sp. ciceri race 1) [40 ], and released for cultivation in India (as Swetha), Sudan (as Wad Hamid) and Myanmar (as Yezin 3) [41 ]. Annigeri belongs to desi chickpea and was released for its earliness and wide adaptation for cultivation in the peninsular India [42 ]. A single plant from each accession was harvested and the seeds obtained from such plants were used to raise seedlings for DNA extraction. Young leaf tissues of each accession from the greenhouse grown plants were harvested and immediately stored in 96-well plate that consists of 94 accessions and two controls (Annigeri and ICCV 2). The two controls were added to each set of 94 accessions placed in 96-well plates for DNA extraction. DNA isolation for all 3000 accessions was carried out at ICRISAT.
A high-throughput DNA isolation protocol [43 ] was adopted to isolate DNA from the leaf tissues in 96-well format. DNA quantification, quality check and normalization to 5 ng/μl were done on agarose gel (0.8%) using lambda DNA standard (MBI Fermentas, USA). DNA isolated for all the 3000 accessions at ICRISAT was supplied to ICARDA for genotyping with 15 SSR markers.

Upadhyaya H.D., Dwivedi S.L., Baum M., Varshney R.K., Udupa S.M., Gowda C.L., Hoisington D, & Singh S. (2008). Genetic structure, diversity, and allelic richness in composite collection and reference set in chickpea (Cicer arietinum L.). BMC Plant Biology, 8, 106.

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Publication 2008

Acclimatization Chickpea Flowers Fusarium oxysporum isolation Plant Embryos Plant Leaves Plants Seedlings Sepharose Tissues

Comprehensive Database of Microbial Denitrification Genes

A local database was constructed by downloading all 4135 draft and completed microbial genome nucleotide sequences available (November 2012) at the National Center for Biology Information (NCBI, www.ncbi.nlm.nih.gov). To ensure that homology searches were as comprehensive as possible, a two-step procedure was performed for each gene. First, an initial TBLASTN search [30] (link) of the online NCBI microbial genomes database (www.ncbi.nlm.nih.gov/sutils/genom_table.cgi) was performed using translated nirS, nirK, and nosZ gene sequences from either Paracoccus denitrificans PD1222 or Bradyrhizobium japonicum USDA110 as queries. Resulting hits were then translated to amino acid sequences and aligned using SATÉ v2.2.3 [31] (link) with MAFFT [32] (link) as aligner, MUSCLE as merger and RAxML [33] (link) as the tree estimator. Gene identity of the retrieved sequences was confirmed by examining the amino acid alignments in relation to characterized homologs, with emphasis on conserved positions crucial for protein functioning and phylogenetic inference (see below). The resulting amino acid alignments of nirK, nirS and nosZ, with 477, 150 and 282 sequences, respectively, were then used to create Position Specific Score Matrices (PSSM) [34] (link) for conducting a more comprehensive PSI-TBLASTN search of the downloaded database. Truncated sequences and sequences with stop codons were excluded, and redundancy in the data set was reduced by eliminating different strains of the same species with identical nirK, nirS and nosZ amino acid sequences. Strains with identical sequences were kept when a unique co-occurrence pattern of denitrification genes was observed, or when the sequence of another denitrification gene was not identical, resulting in a dataset of 652 organisms (see Table S1 for species name, NCBI taxon ID, project name). We then searched the final set of genomes for homologues of the qnorB and cnorB variants of the NO-reductase. This was performed in a similar manner as described for the nir and nos genes, with the exception that the PSSM was generated by downloading the 10 most diverse representative cNorB and qNorB amino acid sequences from the NCBI conserved domains database (http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml) to allow for an equal representation of both variants within the initial PSSM. For the eukaryotic species, the amino acid sequence for the P450_nor from Fusarium oxysporum[35] (link) was used as a query for TBLASTN searches of each fungal genome, and the resulting hits were aligned to the query sequence to both correctly identify P450_nor based on previously described conserved amino acid positions [28] (link), as well as to aid in assembly of exons.
Small subunit (SSU) rRNA gene sequences corresponding to the organisms were retrieved from the local genome database using Infernal [36] (link). In cases where there was more than one SSU rRNA gene sequence in a genome, the longest sequence was chosen. Taxonomic assignment was based on NCBI classification, which was verified by classification of SSU sequences using the SILVA database [37] (link). In addition, habitat and isolation source was either downloaded from the Genomes online database (GOLD, 2012 November 15, www.genomesonline.org/) [29] (link) or searched for in NCBI using the taxon ID of the respective genome and looking at connected publications when available.

Graf D.R., Jones C.M, & Hallin S. (2014). Intergenomic Comparisons Highlight Modularity of the Denitrification Pathway and Underpin the Importance of Community Structure for N2O Emissions. PLoS ONE, 9(12), e114118.

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Publication 2014

Amino Acids Amino Acid Sequence Base Sequence Bradyrhizobium japonicum Codon, Terminator Denitrification Eukaryota Exons Fusarium oxysporum Genes Genes, vif Genome Genome, Fungal Genome, Microbial Gold isolation Muscle Tissue Oxidoreductase Paracoccus denitrificans Proteins Protein Subunits Ribosomal RNA Genes Spectroscopy, Near-Infrared Strains Trees

Screening Physalis Genotypes for Fusarium Resistance

Fifteen genotypes from

. peruviana and related taxa (Table 1) were challenged with a F. oxysporum pathogenic strain (Map 5) isolated from

. peruviana and supplied by the Fusarium Collection at Corpoica’s Molecular Microbiology Laboratory. For inoculum production, the monosporic strain Map 5 was reactivated in Potato Dextrose Agar (PDA) medium (BD Franklin Lakes, NJ) for 15 days at 28°C. Then, it was grown in liquid Potato Dextrose Broth (PDB) (BD Franklin Lakes, NJ) for ten days at 28°C in constant agitation (140 rpm); the inoculum was prepared according to Namiki et al. [39 (link)] and adjusted to desired final concentration. Once

. peruviana seedlings had a pair of true leaves and were 5 to 7 cm tall, 12 seedlings of each genotype were transplanted individually into plastic pots with 255 g sterilized soil-rice husk substrate 3:1 ratio and were then sowed in a completely randomized design under field conditions in the year 2011 in Mosquera, Cundinamarca, Colombia located at 2,516 meters above sea level. Plants were inoculated with a conidial suspension using one as a control in sterile water. The inoculation was done by the root dip method [39 (link)]. Briefly, the roots were dipped in 75 mL of spore suspension (1x10⁵ CFU/mL) for three minutes and were transplanted into the same pots. External symptoms were scored 2 weeks after inoculation during 45 days. The severity degree of the disease was registered daily using a scale of symptoms proposed for the pathosystem

Physalis

peruviana-Fusarium oxysporum (Supplementary Table S1). The scale of symptoms was based in other scales [39 (link),40 ,41 ,42 ].

Enciso-Rodríguez F.E., González C., Rodríguez E.A., López C.E., Landsman D., Barrero L.S, & Mariño-Ramírez L. (2013). Identification of Immunity Related Genes to Study the Physalis peruviana – Fusarium oxysporum Pathosystem. PLoS ONE, 8(7), e68500.

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Publication 2013

Agar Conidia Fusarium Fusarium oxysporum G-substrate Genotype Glucose Marijuana Abuse Oryza sativa Pathogenicity Plant Roots Plants Precursor T-Cell Lymphoblastic Leukemia-Lymphoma Seedlings Solanum tuberosum Spores Sterility, Reproductive Strains Vaccination

Most recents protocols related to «Fusarium oxysporum»

Characterization of Plant Growth-Promoting Bacteria

Microbial strains were characterized based on morphological [18 ] and biochemical properties including cellulase and catalase production tests [18 ] (Table 1). The plant growth-promoting activities e.g., phosphate solubilization [19 ], indole-3-acetic acid (IAA) by using Salkowski reagent and a few drops of orthophosphoric acid [20 (link)], ammonia production by using Nessler's reagent [21 ], siderophore production by the use of CAS (Chrome Azurol S media) as described by Schwyn and Neilands [22 (link)] were estimated (Table 2). Bio-controlling activities was estimated on dual media plate by inoculation of Fusarium oxysporum and Rhizoctonia solani with bacterial strains [8 (link)] (Fig. 1A and B). Amylase test was done by using preparing 0.1% starch agar media, urease, citrate, and MRVP test was done [18 ].Table 1

Biochemical characterization of isolated bacterial strain.

Table 1

Strains	Biochemical characterization
Strains	Amylase	Catalase	Urease	Citrate test	Methyl red	Voges-Proskauer
Pseudomonas sp.IESDJP-V1	++	+++	–	+	–	–
Pseudomonas sp.IESDJP-V2	++	++	–	++	–	–
Serratia marcescensIESDJP-V3	++	+	+	+	–	+
Bacillus cereusIESDJP-V4	++	++	+	–	–	+
Ochrobactrum sp.IESDJP-V5	+	+	–	–	–	+
Azospirillum brasilensisMTCC-4037	+	+	+	+	+	–
Paenibacillus polymyxaBHUPSB17	+	++	–	+	–	–

*Note: In this table “+++”, “++”, “+” and “-”represent the production ability of microbes in high, moderate, low and absent, respectively. All experiment was conducted with 3 replications setup.

Table 2

Characterization of plant growth promoting biochemical activities of isolated strain.

Table 2

Strains	Phosphate solubilization (μgml⁻¹) at 3days	IAA production (μg ml⁻¹) at 48 h		Siderophore production	Ammonia production	HCN production	Biocontrol activity
Strains	Phosphate solubilization (μgml⁻¹) at 3days	150 μgml⁻¹ tryptophan	300 μgml⁻¹ tryptophan	Siderophore production	Ammonia production	HCN production	Fusarium oxysporum	Rhizoctonia solani
Pseudomonas spIESDJP-V1	39.25 ± .66^e	30.05 ± .86^f	34.86 ± .17^e	++	+++	++	+	++
Pseudomonas spIESDJP-V2	33.02 ± .14^c	18.27 ± .60^b	32.06 ± .05^d	+	++	+	+	++
Serratia marcescensIESDJP-V3	33.30 ± .16^c	23.70 ± .35^d	26.59 ± .07^c	+	+	+	–	–
Bacillus cereus IESDJP-V4	37.48 ± .44^d	20.08 ± .05^c	25.23 ± .09^b	+	+	+	+	+
Ochrobactrum spIESDJP-V5	24.76 ± .12^b	25.30 ± .87^e	55.48 ± .08^g	+	++	+	–	–
Azospirillum brasilenseMTCC-4037	19.12 ± .12^a	40.59 ± 1.18^g	52.08 ± .13^f	+	++	–	–	–
Paenibacillus polymyxaBHUPSB17	136.14 ± .10^f	12.56 ± .18^a	23.11 ± .03^a	+	+	+	+	+

Note: The data Values are the mean ± SE, mean values in each column with the same superscript (s) do not differ significantly by Duncan multiple post hoc test (P = 0.05). The sign “+++”, “++”, “+” and “-” represent the production ability of microbes in high, moderate, low and absent, respectively. All experiment was conducted with 3 replications setup.

Fig. 1

Pseudomonas sp. IESDJP-V1 showed inhibition zone against Fusarium oxysporum (A) and Rhizoctonia solani (B) on dual media plate of mixture of 50% nutrient agar and 50% Potato dextrose agar

Fig. 1

Verma J.P., Jaiswal D.K., Gaurav A.K., Mukherjee A., Krishna R, & Prudêncio de Araujo Pereira A. (2023). Harnessing bacterial strain from rhizosphere to develop indigenous PGPR consortium for enhancing lobia (Vigna unguiculata) production. Heliyon, 9(3), e13804.

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Publication 2023

Agar Ammonia Amylase Azospirillum Bacillus Bacillus cereus Bacteria Catalase Cellulase chrome azurol S Citrates DNA Replication Fusarium oxysporum Glucose indoleacetic acid Nutrients Ochrobactrum Paenibacillus Phosphates phosphoric acid Plant Development Pseudomonas Psychological Inhibition Rhizoctonia solani Serratia Siderophores Solanum tuberosum Starch Strains Urease Vaccination

Cultivation of Common Phytopathogenic Fungi

Athelia rolfsii (Curzi) Tu & Kimbrough (provided by the Belgian Co-Ordinated Collections of Microorganisms “BCCM”/Agro-Food and Environmental fungi MUCL 051031) was reactivated on V8 juice agar (200 ml of V8 juice; 3 g of CaCO₃; 15 g of agar; 800 ml of distillated water; pH = 7.2). After this step, fungus was cultivated on Oatmeal agar OMA (Per liter: 60 g of oatmeal; 12.5 g of agar, pH = 7.2 ± 0.2) to produce mycelia and sclerotia at 28°C. Inoculated petri dishes were stored at 4°C or collected sclerotia were retained in peptone water (10 g/l of peptone, 5 g/l of NaCl, 1-2 g of tween 80) at the same temperature for the next experiments.
Fusarium oxysporum, Aspergillus niger and Rhizoctonia solani (lab collection) were cultivated on Potato Dextrose Agar PDA (39 g/l, pH = 5.6 ± 0.2; Merck Germany) to produce mycelia. Cultivated fungi were stored at 4°C for subsequent experiments.

Korangi Alleluya V., Argüelles Arias A., Ribeiro B., De Coninck B., Helmus C., Delaplace P, & Ongena M. (2023). Bacillus lipopeptide-mediated biocontrol of peanut stem rot caused by Athelia rolfsii. Frontiers in Plant Science, 14, 1069971.

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Publication 2023

Agar Aspergillus niger Athelia rolfsii Carbonate, Calcium Food Fungi Fusarium oxysporum Glucose Hyperostosis, Diffuse Idiopathic Skeletal Mycelium Peptones Potato Rhizoctonia solani Sodium Chloride Tween 80

Bacillus Antagonism Against Phytopathogens

Ten µL of GA1 WT or mutants’ strains (OD_600nm = 1) prepared as described in section 2.1 were spotted at 4.5 cm of the pathogen (A. rolfsii) on gelosed MMPRE. Fusarium oxysporum, Aspergillus niger and Rhizoctonia solani antagonism were tested in the same conditions on PDA plates. The plates were sealed with parafilm and incubated at 28°C for 6 days. The inhibition of mycelial growth was evaluated by measuring the distance between bacteria and the advancing front of the fungus. This experiment was performed using 6 independent repetitions. Impact of Bacillus volatiles in antagonism was performed using bipartite petri dishes. In this case, one compartment containing 10 ml of gelosed MMPRE was inoculated with 10 µl of GA1 culture (OD_600nm = 1) prepared as detailed in section 2.1 and sclerotia were deposited at 4.5 cm from bacteria in the other part of the petri dish. The petri dishes were doubled sealed with parafilm and incubated at 28°C for 6 days. Inhibition rate (IR) was calculated with the formula: IR (%) = (S1-S2/S1) x 100 where S1: represents the fungal area growth without bacteria, and S2 represents the fungal area growth in inoculated plates. This experiment was performed using 6 independent repetitions.

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Publication 2023

antagonists Aspergillus niger Bacillus Bacteria Epiphyseal Cartilage Fungi Fusarium oxysporum Hyperostosis, Diffuse Idiopathic Skeletal Mycelium Pathogenicity Psychological Inhibition Rhizoctonia solani Strains

Antifungal Efficacy of Silver Nanoparticles

Preliminary screening assay was performed to estimate inhibitory effect of AgNPs against 12 phytopathohenic fungi, namely Alternaria alternata IOR 1783 (isolated from kohlrabi), Botrytis cinerea IOR 1873 (isolated from tomato), Colletotrichum acutatum IOR 2153 (isolated from blueberry), Fusarium oxysporum IOR 342 (isolated from pine), Fusarium solani IOR 825 (isolated from parsley), Phoma lingam IOR 2284 (isolated from rape), Sclerotinia sclerotiorum IOR 2242 (isolated from broccoli), and oomycetes, such as Phytophthora cactorum IOR 1925 (isolated from strawberry), Phytophthora cryptogea IOR 2080 (isolated from Lawson cypress), Phytophthora megasperma IOR 404 (isolated from raspberry), Phytophthora plurivora IOR 2303 (isolated from Quercus petraea) using agar well-diffusion method (Magaldi et al., 2004 (link)), with some modifications. Briefly, fungal colonies grown on potato dextrose agar (PDA, Becton Dickinson) in Petri plates for 14 days at 26°C were washed with 10 ml of sterile distilled water to release fungal spores/sclerotia. Their suspensions were collected and filtered through a sterile cotton wool syringe filter to remove mycelia. The concentration of fungal spores/sclerotia were estimated using cell counting chamber (Brand, Germany) and diluted to adjust concentration of 10⁶ spores mL⁻¹. One milliliter of such suspension was added into 6 ml of sterile melted PDA and spread on the surface of sterile medium in Petri plates, as a second layer. Subsequently, the wells (Ø =5 mm) were cut in the inoculated plates using sterile cork borer and filled with 50 μl of AgNPs solution at concentration of 3 mg mL⁻¹. Then, inoculated plates were incubated for 7 days at 26°C and zones of inhibition of fungal growth around wells were measured in mm.

Trzcińska-Wencel J., Wypij M., Rai M, & Golińska P. (2023). Biogenic nanosilver bearing antimicrobial and antibiofilm activities and its potential for application in agriculture and industry. Frontiers in Microbiology, 14, 1125685.

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Publication 2023

Agar Alternaria alternata Biological Assay Blueberries Botrytis cinerea Brassica napus Broccoli Colletotrichum acutatum Cypress Diffusion Fungi Fusarium oxysporum Fusarium solani Glucose Gossypium Leptosphaeria maculans Lycopersicon esculentum Mycelium Oomycetes Petroselinum crispum Phytophthora Pinus Psychological Inhibition Quercus Raspberries Sclerotinia sclerotiorum Solanum tuberosum Spores Spores, Fungal Sterility, Reproductive Strawberries Syringes

Fusarium Identification Protocol

Fusarium oxysporum, F. solani, and F. nivale strains used in the present study were isolated from diseased leaves, stems, and roots of ryegrass and from soil samples before being identified. For morphological characterisation, macroscopic traits such as the colony appearance, colour, pigmentation and growth rate were observed on potato dextrose agar (PDA) according to Leslie & Summerell (2006) . Morphological identification was also performed based on the morphological characteristics observed at optical microscope as described by Booth (1971) and Leslie & Summerell (2006) .

Saghrouchni H., Barnossi A.E., Mssillou I., Lavkor I., Ay T., Kara M., Alarfaj A.A., Hirad A.H., Nafidi H.A., Bourhia M, & Var I. (2023). Potential of carvacrol as plant growth-promotor and green fungicide against fusarium wilt disease of perennial ryegrass. Frontiers in Plant Science, 14, 973207.

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Publication 2023

Agar Fusarium oxysporum Glucose Light Microscopy Lolium Pigmentation Plant Roots Solanum tuberosum Stem, Plant Strains

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Potato dextrose agar (pda) by HiMedia

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What is Fusarium oxysporum and why is it a major concern for agriculture?

Fusarium oxysporum is a widespread fungal pathogen that causes devastating diseases in a variety of important crop plants, including tomatoes, bananas, and cotton. This soil-borne fungus can infect the roots and vascular system of host plants, leading to wilting, stunting, and eventual plant death. Effective control and prevention of Fusarium oxysporum infections remains a critical challenge for agricultural researchers and producers.

How can PubCompare.ai help with Fusarium oxysporum research?

PubCompare.ai allows you to screen protocol literature more efficiently and leverage AI to pinpoint critical insights. The platform can help researchers identify the most effective protocols related to Fusarium oxysporum for their specific research goals. The AI-driven analysis can highlight key differences in protocol effectiveness, enabling researchers to choose the best option for reproducibility and accuaracy.

What are the different variations or types of Fusarium oxysporum?

Fusarium oxysporum is a species complex, meaning it encompasses a diverse range of genetically distinct strains or formae speciales that can each infect and cause disease in different host plants. While the core biology and pathogenicity mechanisms may be similar, the specific host range and virulence factors can vary significantly between the different Fusarium oxysporum variants.

How can PubCompare.ai assist in optimizing the use and comparison of Fusarium oxysporum protocols?

PubCompare.ai's powerful features can help researchers improve their Fusarium oxysporum research outcomes. The platform allows you to efficiently locate protocols from the literature, preprints, and patents, and then use AI-driven comparisons to identify the best protocols and products for your specific needs. This can save time, enhance reproducibility, and ensure you're using the most effective methods for studying this important fungal pathogen.

More about "Fusarium oxysporum"

Fusarium oxysporum is a widespread and devastating fungal pathogen that affects a variety of important crop plants, including tomatoes, bananas, and cotton.
This soil-borne fungus can infect the roots and vascular system of host plants, leading to wilting, stunting, and eventual plant death.
Fusarium wilt, as it's commonly known, remains a critical challenge for agricultural researchers and producers.
Effective control and prevention of Fusarium oxysporum infections is essential for protecting crop yields and ensuring food security.
Researchers and scientists are working to deepen their understanding of this pathogen's biology, epidemiology, and host-pathogen interactions, which is crucial for developing improved disease management strategies.
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In addition to Fusarium oxysporum, other relevant microorganisms like Candida albicans, Pseudomonas aeruginosa, Bacillus subtilis, and Escherichia coli are also of interest in agricultural and medical research.
Potato dextrose agar (PDA) and potato dextrose broth are commonly used meddia for culturing and studying these microbes.
By harnessing the insights from the MeSH term description and the Metadescription, researchers can optimize their Fusarium oxysporum research and make significant strides in developing effective disease management strategies.
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