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Genome sequences of 38 Fusarium oxysporum strains



Wilt caused by Fusarium oxysporum f. sp. melonis (Fom) is one of the most widespread and destructive melon diseases worldwide. Whole-genome sequencing data of a diverse set of Fom strains, as well as several non-pathogenic strains isolated from melon from different parts of the world are described here. These data shed light on the genetic diversity, population structure and the potential evolutionary trajectories which have led to the emergence of different Fom races, and will facilitate identification of avirulence genes which will be helpful to develop resistant melon cultivars.

Data description

Genomic DNA was extracted from mycelium of 38 Fusarium oxysporum (Fo) strains collected from different parts of the world including Belgium, China, France, Iran, Israel, Japan, Mexico, New Zealand, Spain, the Netherlands, and the United States. The genomes were sequenced to ≈ 20 × coverage using the Illumina Hiseq Xten system, resulting in paired-end reads of 151 bp and assemblies of 1675 (Fom-18L) to 4472 (Fom-R12-13) scaffolds. The genome sequences are available in the National Center for Biotechnology Information (NCBI) and the Sequence Read Archive (SRA) under Project number PRJNA596396 and PRJNA596396, respectively. The presented data set can be useful to identify the genes associated with pathogenic strategies.


Melon (Cucumis melo L.), whose total production in 2018 was more than 27 million tons worldwide, is one of the most cultivated horticultural food crops in subtropical and tropical regions, and is also grown widely in temperate zone countries [1, 2]. Melons originated in Africa or in Turkey and southwestern-Asia [3,4,5,6]. Like many other crops, melons are affected by numerous pathogens. Among these, the fungus Fusarium oxysporum f. sp. melonis (Fom), the causal agent of Fusarium wilt, is one of the most yield-limiting pathogens of melon worldwide [7]. Fom strains colonize the roots and enter the water-conducting xylem vessels, which leads to yellowing, wilting and eventually death of the infected plant. Two dominant resistance genes against Fom in musk melon, Fom1 and Fom2, are currently in use [8]. Based on the resistance conferred by these two genes, Fom strains are classified into four races: races 0, 1, 2, and 1.2 [9]. Race 0 only causes disease in cultivars without Fom1 and Fom2. Race 1 can infect Fom1-containing cultivars and race 2 is able to infect cultivars containing Fom2. Race 1.2 overcomes both resistance genes. Currently, nine vegetative compatibility groups (VCGs), VCGs 0130–0138, are identified in Fom strains worldwide [10,11,12]. These VCGs correspond to clonal lines [13]. Fusarium wilt is difficult to manage because the pathogen can persist in the soil as dormant propagules for decades and can also persist by colonizing crop residue or roots of non-susceptible crops grown in rotation with melon [14]. The use of resistant cultivars is the most effective way of controlling Fusarium wilt, and the nature of pathogen and diversity of virulence in the pathogen population is important for the success of the breeding program for melon Fusarium wilt resistance [2]. Therefore, the availability of complete whole-genome sequencing data of Fom strains representing the world-wide genetic variation and all four races is important, and will also provide an opportunity to identify avirulence genes [15], especially AVRFom1, which will be helpful to identify resistant musk melon cultivars. In addition, whole-genome sequences provide an essential data set to identify genetic markers for Fom (race) detection, to gain insight into the evolution of Fom races, and for research into the genetic basis of Fom pathogenicity. We carried out whole-genome sequencing of 38 Fusarium oxysporum (Fo) strains which includes three, five, eight, and thirteen strains of races 0, 1, 2, and 1.2, respectively, four strains of which we could not determine the race, and five non-pathogenic strains (Table 1). We have already used these data for comparative population genomics to identify putative effector genes and better understand the genetic relationships between the different Fom lineages [13].

Table 1 Overview of whole-genome sequence data files of Fusarium oxysporum f. sp. melonis strains

Data description

In order to obtain insight into the genomic diversity and relationship between clonal linages of Fom, we collected a diverse set of Fom strains originating from different geographical locations across the world including Belgium [33], China [31, 32], France [24, 35, 36, 43], Iran [22, 23, 38,39,40, 42, 44, 45, 48,49,50,51, 53,54,55,56,57,58,59], Israel [52], Japan [30, 41], New Zealand [28, 29], Spain [37], the Netherlands [26], and the United States [25, 34, 46, 47]. Genomic DNA was isolated as described in Sabahi et al. [13]. The quality of extracted genomic DNA was evaluated by Nano-Drop, Qubit, and agarose gel electrophoresis. Library preparation was performed by the Hartwig Medical Foundation and by the RNA Biology and Applied Bio-informatics department at the University of Amsterdam. Illumina sequencing (151 bp paired-end) was performed on a Hiseq Xten system at the Hartwig Medical Foundation (Amsterdam, the Netherlands). Raw reads were trimmed to remove low-quality bases and adapter sequences using Trimmomatic (v0.39) [16]. Quality control of both the raw and trimmed sequence reads was done by FastQ Screen (v0.14.0) and FastQC (v0.11.3). Genomic sequences were assembled using CLC genomics workbench v8.5 with Default CLC settings, except “minimum contig length = 500” which resulted in 1675 (Fom-18L) to 4472 (Fom-R12-13) scaffolds. The smallest and largest de novo assembly have a size of 51.0 megabasepairs (Mbp) (Fom024) and 56.5 Mbp (F-nonpath-Barmshour), respectively. The N50 scaffold size, calculated to evaluate the quality of the assembly, ranged from 99,974 bp (Fom-R12-13) to 527,362 bp (Fo-nonpath-TO1). Prediction of putative effector genes in Fom genome sequences was carried out by searching uninterrupted ORFs in regions of 2500 bp or 5000 bp downstream of a miniature impala (mimp) terminal inverted repeat (TIR) [17]. In the present data set, 40 new candidate effector genes were identified [13]. Phylogenetic analysis of Fom strains was performed by searching for homologues of 440 conserved Fol4287 genes in the sequences of the Fom genomes using megaBLAST with default parameters. From this, 422 genes which had a single hit that overlaps > 70% with the query sequences and showed at least 80% identity to the query were selected to continue the analysis. We used MUSCLE [18] to construct a sequence alignment for each query and a custom python script to concatenate these alignments ( Concatenated alignments were trimmed by trimAl [19]. We used RaxML v8.2.12 to generate the phylogenetic tree with 100 bootstrap replicates [20]. According to the presence/absence of candidate effector genes and phylogenetic analyses based on 422 conserved genes, all Fom strains used in our study were grouped in nine genetic lineages [13]. The presence of highly similar effector patterns between some distant lineages are suggestive of horizontal chromosome transfer between these lineages [13]. The data presented herein will provide useful resources to identify new avirulence genes which are important for being able to assess the efficiency and the durability of resistance genes in agricultural settings, and also contributes to understanding evolutionary trajectories that have led to the emergence of races in Fom.


The number of Fom strains collected and sequenced limits analysis of genomic variation in the population. Our data do not include Fom strains belonging to VCGs 0137 and 0138. It should be noted also that we obtained short-reads with a mean coverage of about 20 × which might not be suitable for some genomic analyses.

Availability of data and materials

All sequence data described herein have been deposited in DDBJ, ENA, and NCBI database as the Sequence Read Archive (SRA) format ( under the project number PRJNA596396 [21]. Please see Table 1 and the references [22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59] for details and links to the data.



DNA data bank of japan


European nucleotide archive




Fusarium oxysporum


Fusarium oxysporum f. sp. melonis


National center for biotechnology information




Sequence read archive


Vegetative compatibility group


  1. FAOSTAT database. Food and agriculture organization of the United Nations.

  2. Oumouloud A, El-Otmani M, Chikh-Rouhou H, Claver AG, Torres RG, Perl-Treves R, Alvarez JM. Breeding melon for resistance to Fusarium wilt: recent developments. Euphytica. 2013;192(2):155–69.

    Article  CAS  Google Scholar 

  3. Raghami M, López-Sesé AI, Hasandokht MR, Zamani Z, Moghadam MR, Kashi A. Genetic diversity among melon accessions from Iran and their relationships with melon germplasm of diverse origins using microsatellite markers. Plant Syst Evol. 2014;300(1):139–51.

    Article  Google Scholar 

  4. Sauer JD. Historical geography of crop plants—a select roster. Boca Raton: CRC Press; 1993. p. 309.

    Google Scholar 

  5. Vaughan JG, Geissler CA. The new oxford book of food plants. New York: Oxford University Press; 2009. p. 74.

    Google Scholar 

  6. Zohary D, Hopf M. Domestication of plants in the old world: The origin and spread of cultivated plants in West Asia, Europe, and the Nile Valley. Oxford: Clarendon Press; 1993. p. 278.

    Google Scholar 

  7. Silvia Sebastiani M, Bagnaresi P, Sestili S, Biselli C, Zechini A, Orrù L, Cattivelli L, Ficcadenti N. Transcriptome analysis of the melon-Fusarium oxysporum f. sp. melonis race 1.2 pathosystem in susceptible and resistant plants. Front Plant Sci. 2017;8:362.

    Article  CAS  Google Scholar 

  8. Zink FW, Gubler WD. Inheritance of resistance in muskmelon to Fusarium wilt. J Am Soc Hortic Sci. 1985;110(5):600–4.

    Google Scholar 

  9. Risser G, Banihashemi Z, Davis DW. Proposed nomenclature of Fusarium oxysporum f. sp. melonis races and resistance genes in Cucumis melo. Phytopathol. 1976;66:1105.

    Article  Google Scholar 

  10. Jacobson DJ, Gordon TR. Vegetative compatibility and self-incompatibility within Fusarium oxysporum f. sp. melonis. Phytopathol. 1988;78:668–72.

    Article  Google Scholar 

  11. Jacobson DJ, Gordon TR. Further investigation of vegetative compatibility with Fusarium oxysporum f. sp. melonis. Canad J Bot. 1990;68:1245–8.

    Article  Google Scholar 

  12. Katan T, Katan J, Gordon TR, Pozniak D. Physiologic races and vegetative compatibility groups of Fusarium oxysporum f. sp. melonis in Israel. Phytopthol. 1994;84:153–7.

    Article  Google Scholar 

  13. Sabahi F, Sain MD, Banihashemi Z, Rep M. Comparative genomics of Fusarium oxysporum f. sp. melonis strains reveals nine lineages and a new sequence type of avrfom2. Environ Microbiol. 2021;23(4):2035–53.

    Article  CAS  Google Scholar 

  14. Zuniga TL, Zitter TA, Gordon TR, Schroeder DT, Okamoto D. Characterization of pathogenic races of Fusarium oxysporum f. sp. melonis causing Fusarium wilt of melon in New York. Plant Dis. 1997;81(6):592–6.

    Article  CAS  Google Scholar 

  15. Schmidt SM, Lukasiewicz J, Farrer R, van Dam P, Bertoldo C, Rep M. Comparative genomics of Fusarium oxysporum f. sp. melonis reveals the secreted protein recognized by the Fom-2 resistance gene in melon. New Phytol. 2016;209:307–18.

    Article  CAS  Google Scholar 

  16. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–20.

    Article  CAS  Google Scholar 

  17. van Dam P, Sain MD, ter Horst A, van der Gragt M, Rep M. Use of comparative genomics-based markers for discrimination of host specificity in Fusarium oxysporum. Applied Environ Microbiol. 2018;84:e01868-e1917.

    Google Scholar 

  18. Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32:1792–7.

    Article  CAS  Google Scholar 

  19. Capella-Gutiérrez S, Silla-Martínez JM, Gabaldón T. trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics. 2009;25:1972–3.

    Article  Google Scholar 

  20. Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 2014;30:1312–3.

    Article  CAS  Google Scholar 

  21. BioProject. 2020

  22. NCBI sequence read archive. 2020.

  23. NCBI sequence read archive. 2020.

  24. NCBI sequence read archive. 2020.

  25. NCBI sequence read archive. 2020.

  26. NCBI sequence read archive. 2020.

  27. NCBI sequence read archive. 2020.

  28. NCBI sequence read archive. 2020.

  29. NCBI sequence read archive. 2020.

  30. NCBI Sequence Read Archive. 2020.

  31. NCBI sequence read archive. 2020.

  32. NCBI sequence read archive. 2020.

  33. NCBI sequence read archive. 2020.

  34. NCBI sequence read archive. 2020.

  35. NCBI sequence read archive. 2020.

  36. NCBI sequence read archive. 2020.

  37. NCBI sequence read archive. 2020.

  38. NCBI sequence read archive. 2020.

  39. NCBI sequence read archive. 2020.

  40. NCBI sequence read archive. 2020.

  41. NCBI sequence read archive. 2020.

  42. NCBI sequence read archive. 2020.

  43. NCBI sequence read archive. 2020.

  44. NCBI sequence read archive. 2020.

  45. NCBI sequence read archive. 2020.

  46. NCBI sequence read archive. 2020.

  47. NCBI sequence read archive. 2020.

  48. NCBI sequence read archive. 2020.

  49. NCBI sequence read archive. 2020.

  50. NCBI sequence read archive. 2020.

  51. NCBI sequence read archive. 2020.

  52. NCBI sequence read archive. 2020.

  53. NCBI sequence read archive. 2020.

  54. NCBI sequence read archive. 2020.

  55. NCBI sequence read archive. 2020.

  56. NCBI sequence read archive. 2020.

  57. NCBI sequence read archive. 2020.

  58. NCBI sequence read archive. 2020.

  59. NCBI sequence read archive. 2020.

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The authors gratefully acknowledge the support from the ENZA Zaden for providing the seeds of differential melon cultivars. Also, we greatly appreciate the Ministry of Science, Research Technology of Iran for financial support, and the Department of Molecular Plant Pathology at the University of Amsterdam for the warm hospitality.


The funds for conducting this experiment were provided by the Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, the Netherlands.

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Authors and Affiliations



ZB and MR designed the experiment. Race determination was done by FS and MDS. FS and MDS carried out DNA extraction. The genome sequencing data were created and assessed by MDS and FS. MR, MDS and ZB read the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Martijn Rep.

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Sabahi, F., Banihashemi, Z., de Sain, M. et al. Genome sequences of 38 Fusarium oxysporum strains. BMC Res Notes 15, 229 (2022).

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