• We are sorry, but NCBI web applications do not support your browser and may not function properly. More information
Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Nature. Author manuscript; available in PMC Mar 4, 2011.
Published in final edited form as:
PMCID: PMC3048781
NIHMSID: NIHMS272183

Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium

Abstract

Fusarium species are among the most important phytopathogenic and toxigenic fungi. To understand the molecular underpinnings of pathogenicity in the genus Fusarium, we compared the genomes of three phenotypically diverse species: Fusarium graminearum, Fusarium verticillioides and Fusarium oxysporum f. sp. lycopersici. Our analysis revealed lineage-specific (LS) genomic regions in F. oxysporum that include four entire chromosomes and account for more than one-quarter of the genome. LS regions are rich in transposons and genes with distinct evolutionary profiles but related to pathogenicity, indicative of horizontal acquisition. Experimentally, we demonstrate the transfer of two LS chromosomes between strains of F. oxysporum, converting a non-pathogenic strain into a pathogen. Transfer of LS chromosomes between otherwise genetically isolated strains explains the polyphyletic origin of host specificity and the emergence of new pathogenic lineages in F. oxysporum. These findings put the evolution of fungal pathogenicity into a new perspective.

Fusarium species are among the most diverse and widely dispersed plant-pathogenic fungi, causing economically important blights, root rots or wilts1. Some species, such as F. graminearum (Fg) and F. verticillioides (Fv), have a narrow host range, infecting predominantly the cereals (Fig. 1a). By contrast, F. oxysporum (Fo), has a remarkably broad host range, infecting both monocotyledonous and dicotyledonous plants2 and is an emerging pathogen of immunocompromised humans3 and other mammals4. Aside from their differences in host adaptation and specificity, Fusarium species also vary in reproductive strategy. Some, such as Fo, are asexual, whereas others are both asexual and sexual with either self-fertility (homothallism) or obligate out-crossing (heterothallism) (Fig. 1b).

Figure 1
Phylogenetic relationship of four Fusarium species in relation to other ascomycete fungi and phenotypic variation among the four Fusarium species

Previously, the genome of the cereal pathogen Fg was sequenced and shown to encode a larger number of proteins in pathogenicity related protein families compared to non-pathogenic fungi, including predicted transcription factors, hydrolytic enzymes, and transmembrane transporters5. We sequenced two additional Fusarium species, Fv, a maize pathogen that produces fumonisin mycotoxins that can contaminate grain, and F. oxysporum f.sp. lycopersici (Fol), a tomato pathogen. Here we present the comparative analysis of the genomes of these three species.

Results

Genome organization and gene clusters

We sequenced Fv strain 7600 and Fol strain 4287 (Methods, Supplementary Table 1) using a whole-genome shotgun approach and assembled the sequence using Arachne (Table 1, ref.6). Chromosome level ordering of the scaffolds was achieved by anchoring the assemblies either to a genetic map for Fv (ref.7), or an optical map for Fol (Supplementary Information A and Supplementary Table 2). We predicted Fol and Fv genes and reannotated a new assembly of the Fg genome using a combination of manual and automated annotation (Supplementary Information B). The Fol genome (60 megabases) is about 44% larger than that of its most closely related species, Fv (42 Mb), and 65% larger than that of Fg (36 Mb), resulting in a greater number of protein-encoding genes in Fol (Table 1).

Table 1
Genome statistics.

The relatedness of the three Fusarium genomes enabled the generation of large-scale unambiguous alignments (Supplementary Figs 1–3) and the determination of orthologous gene sets with high confidence (Methods, Supplementary Information C). On average, Fol and Fv orthologues display 91% nucleotide sequence identity, and both have 85% identity with Fg counterparts (Supplementary Fig. 4). Over 9,000 conserved syntenic orthologues were identified among the three genomes. Compared to other ascomycete genomes, these three-species orthologues are enriched for predicted transcription factors (P = 2.6 × 10−6), lytic enzymes (P = 0.001), and transmembrane transporters (P = 7 × 10−9) (Supplementary Information C and Supplementary Tables 3–8), in agreement with results reported for the Fg genome5.

Fusarium species produce diverse secondary metabolites, including mycotoxins that exhibit toxicity to humans and other mammals8. In the three genomes, we identified a total of 46 secondary metabolite biosynthesis (SMB) gene clusters. Microarray analyses confirmed the co-expression of genes in 14 of 18 Fg and 10 of 16 Fv SMB gene clusters. Ten out of the 14 Fg and eight out of the 10 Fv co-expressed SMB gene clusters are novel (Supplementary Information D, Supplementary Fig. 5 and Supplementary Table 9, and online materials), emphasizing the potential impact of uncharacterized secondary metabolites on fungal biology.

Lineage-specific chromosomes and pathogenicity

The genome assembly of Fol has 15 chromosomes, the Fv assembly 11 and the Fg assembly only four (Table 1). The smaller number of chromosomes in Fg is the result of chromosome fusion relative to Fv and Fo, and fusion sites in Fg match previously described high diversity regions (Supplementary Fig. 3, ref.5). Global comparison among the three Fusarium genomes shows that the increased genomic territory in Fol is due to additional, unique sequences that reside mostly in extra chromosomes. Syntenic regions in Fol cover approximately 80% of the Fg and more than 90% of the Fv genome (Supplementary Information E and Supplementary Table 10), referred to as the ‘core’ of the genomes. Except for telomere-proximal regions, all 11 mapped chromosomes in the Fv assembly (41.1 Mb) correspond to 11 of the 15 chromosomes in Fol (41.8 Mb). The co-linear order of genes between Fol and Fv has been maintained within these chromosomes, except for one chromosomal translocation event and a few local rearrangements (Fig. 2a).

Figure 2
Whole genome comparison between Fv and Fol

The unique sequences of Fol are a substantial fraction (40%) of the Fol assembly, designated as Fol lineage-specific (Fol LS) regions, to distinguish them from the conserved core genome. The Fol LS regions include four entire chromosomes (chromosomes 3, 6, 14 and 15), parts of chromosome 1 and 2 (scaffold 27 and scaffold 31, respectively), and most of the small scaffolds not anchored to the optical map (Fig. 2b). In total, the Fol LS regions encompass 19 Mb, accounting for nearly all of the larger genome size of Fol.

Notably, the LS regions contain more than 74% of the identifiable transposable elements (TEs) in the Fol genome, including 95% of all DNA transposons (Fig. 2b, Supplementary Fig. 6 and Supplementary Table 11). In contrast to the low content of repetitive sequence and minimal amount of TEs in the Fv and Fg genomes (Table 1 and Supplementary Table 11), about 28% of the entire Fol genome was identified as repetitive sequence (Methods), including many retro-elements (copia-like and gypsy-like LTR retrotransposons, LINEs (long interspersed nuclear elements) and SINEs (short interspersed nuclear elements) and DNA transposons (Tc1-mariner, hAT-like, Mutator-like, and MITEs) (Supplementary Information E.3), as well as several large segmental duplications. Many of the TEs are full-length and present as highly similar copies. Particularly well represented DNA transposon classes in Fol are pogo, hAT-like elements and MITEs (in total approximately 550, 200 and 350 copies, respectively). In addition, there are one intra-chromosomal and two inter-chromosomal segmental duplications, totalling approximately 7Mb and resulting in three- or even fourfold duplications of some regions (Fig. 2c). Overall, these regions share 99% sequence identity (Supplementary Fig. 7), indicating recent duplication events.

Only 20% of the predicted genes in the Fol LS regions could be functionally classified on the basis of homology to known proteins. These genes are significantly enriched (P < 0.0001) for the functional categories ‘secreted effectors and virulence factors’, ‘transcription factors’, and ‘proteins involved in signal transduction’, but are deficient in genes for house-keeping functions (Supplementary Information E and Supplementary Tables 12–18). Among the genes with a predicted function related to pathogenicity were known effector proteins (see below) as well as necrosis and ethylene-inducing peptides9 and a variety of secreted enzymes predicted to degrade or modify plant or fungal cell walls (Supplementary information E and Supplementary Tables 14, 15). Notably, many of these enzymes are expressed during early stages of tomato root infection (Supplementary Tables 15, 16 and Supplementary Fig. 8). The expansion of genes for lipid metabolism and lipid-derived secondary messengers in Fol LS regions indicates an important role for lipid signalling in fungal pathogenicity (Supplementary Fig. 9 and Supplementary Tables 13, 17). A family of transcription factor sequences related to FTF1, a gene transcribed specifically during early stages of infection of F. oxysporum f. sp. phaseoli (Supplementary Information E and Supplementary Table 4; ref.10) is also expanded.

The recently published genome of F. solani11, a more diverged species, enabled us to extend comparative analysis to a larger evolutionary framework (Fig. 1). Whereas the ‘core’ genomes are well conserved among all four sequenced Fusarium species, the Fol LS regions are also absent in Fs (Supplementary Fig. 2). Additionally, Fs has three LS chromosomes distinct from the genome core11 and the Fol LS regions. In conclusion, each of the four Fusarium species carries a core genome with a high level of synteny whereas Fol and Fs each have LS chromosomes that are distinct with regard to repetitive sequences and genes related to host–pathogen interactions.

Origin of LS regions

Three possible explanations for the origin of LS regions in the Fol genome were considered: (1) Fol LS regions were present in the last common ancestor of the four Fusarium species but were then selectively and independently lost in Fv, Fg and Fs lineages during vertical transmission; (2) LS regions arose from the core genome by duplication and divergence within the Fol lineage; and (3) LS regions were acquired by horizontal transfer. To distinguish among these hypotheses, we compared the sequence characteristics of the genes in the Fol LS regions to those of genes in Fusarium core regions and genes in other filamentous fungi. If Fol LS genes have clear orthologues in the other Fusarium species, or paralogues in the core region of Fol, this would favour the vertical transmission or duplication with divergence hypotheses, respectively. We found that, whereas 90% of the Fol genes in the core regions have homologues in the other two Fusarium genomes, about 50% of the genes on Fol LS regions lack homologues in either Fv or Fg (1 × 10−20). Furthermore, there is less sequence divergence between Fol and Fv orthologues in core regions compared to Fol and Fg orthologues (Fig. 3a), consistent with the species phylogeny. In contrast, the LS genes that have homologues in the other Fusarium species are roughly equally distant from both Fv and Fg genes (Fig. 3b), indicating that the phylogenetic history of the LS genes differs from genes in the core region of the genome.

Figure 3
Evolutionary origin of genes on the Fol LS chromosomes

Both codon usage tables and codon adaptation index (CAI) analysis indicate that the LS-encoding genes exhibit distinct codon usage (Supplementary Information E.5, Supplementary Fig. 10 and Supplementary Table 19) compared to the conserved genes and the genes in the Fv genome, further supporting their distinct evolutionary origins. The most significant differences were observed for amino acids Gln, Cys, Ala, Gly, Val, Glu and Thr, with a preference for G and Cover A and T among the Fol LS genes (Supplementary Table 20). Such GC bias is also reflected in the slightly higher GC-content in their third codon positions (Supplementary Fig. 11).

Of the 1,285 LS-encoded proteins that have homologues in the NCBI protein set, nearly all (93%) have their best BLAST hit to other ascomycete fungi (Supplementary Fig. 12), indicating that Fol LS regions are of fungal origin. Phylogenetic analysis based on concatenated sampling of the 362 proteins that share homologues in seven selected ascomycete genomes—including the four sequenced Fusarium genomes, Magnaporthe grisea12, Neurospora crassa13 and Aspergillus nidulans14—places their origin within the genus Fusarium but basal to the three most closely related Fusarium species Fg, Fv and Fol (Fig. 3c, Supplementary Table 21). Taken together, we conclude that horizontal acquisition from another Fusarium species is the most parsimonious explanation for the origin of Fol LS regions.

LS regions and host specificity

F. oxysporum is considered a species complex, composed of many different asexual lineages that can be pathogenic towards different hosts or non-pathogenic. The Fol LS regions differ considerably in sequence among Fo strains with different host specificities, as determined by Illumina sequencing of Fo strain Fo5176, a pathogen of Arabidopsis15 and EST (expressed sequence tag) sequences from Fo f. sp. vasinfectum16, a pathogen of cotton (Supplementary Information E.2). Despite less than 2% overall sequence divergence between shared sequences of Fol and Fo5176 (Supplementary Fig. 13A), formost of the sequences in the Fol LS regions there is no counterpart in Fo5176. (Supplementary Fig. 13B). Also Fov EST sequences16 have very high nucleotide sequence identity to the Fol genome (average 99%), but only match the core regions of Fol (Supplementary Information E.2). Large-scale genome polymorphism within Fo is also evident by differences in karyotype between strains (Supplementary Fig. 14)17. Previously, small, polymorphic and conditionally dispensable chromosomes conferring host-specific virulence have been reported in the fungi Nectria haematococca18 and Alternaria alternata19. Small (<2.3 Mb) and variable chromosomes are absent in non-pathogenic F. oxysporum isolates (Supplementary Fig. 14), indicating that Fol LS chromosomes may also be specifically involved in pathogenic adaptation.

Transfer of Fo pathogenicity chromosomes

It is well documented that small proteins are secreted during Fol colonizing the tomato xylem system20,21 and at least two of these, Six1 (Avr3) and Six3 (Avr2), are involved in virulence functions22,23. Interestingly, the genes for these proteins, as well as a gene for an in planta-secreted oxidoreductase (ORX1)20, are located on chromosome 14, one of the Fol LS chromosomes. These genes are all conserved in strains causing tomato wilt, but are generally not present in other strains24. The genome data enabled the identification of the genes for three additional small in planta-secreted proteins on chromosome 14, named SIX5, SIX6 and SIX7 (Supplementary Table 22) based on mass spectrometry data obtained previously20. Together these seven genes can be used as markers to identify each of the three supercontigs (SC 22, 36 and 51) localized to chromosome 14 (Supplementary Table 23 and Supplementary Fig. 15).

In view of the combined experimental findings and computational evidence, we proposed that LS chromosome 14 could be responsible for pathogenicity of Fol towards tomato, and that its mobility between strains could explain its presence in tomato wilt pathogens, comprising several clonal lineages polyphyletic within the Fo species complex, but absence in other lineages24. To test these hypotheses, we investigated whether chromosome 14 could be transferred and whether the transfer would shift pathogenicity between different strains of Fo, using the genes for in planta-secreted proteins on chromosome 14 as markers. Fol007, a strain that is able to cause tomato wilt, was co-incubated with a non-pathogenic isolate (Fo-47) and two other strains that are pathogenic towards melon (Fom) or banana (Foc), respectively. A gene conferring resistance against zeocin (BLE) was inserted close to SIX1 as a marker to select for transfer of chromosome 14 from the donor strain into Fo-47, Fom or Foc. The receiving strains were transformed with a hygromycin resistance gene (HYG), inserted randomly into the genome; three independent hygromycin resistant transformants per recipient strain were selected. Microconidia of the different strains were isolated and mixed in a 1:1 ratio on agar plates. Spores emerging on these plates after 6–8 days of incubation were selected for resistance to both zeocin and hygromycin. Double drug-resistant colonies were recovered with Fom and Fo-47, but not using Foc as the recipient, at a frequency of roughly 0.1 to 10 per million spores (Supplementary Table 24).

Pathogenicity assays demonstrated that double drug-resistant strains derived from co-incubating Fol007 with Fo-47, referred to as Fo-47+, had gained the ability to infect tomato to various degrees (Fig. 4a, b). In contrast, none of the double drug-resistant strains derived from co-incubating Fol007 with Fom were able to infect tomato. All Fo-47+ strains contained large portions of Fol chromosome 14 as demonstrated by PCR amplification of the seven gene markers (Fig. 4c, Supplementary Fig. 15 and Supplementary Information F). The parental strains, as well as the sequenced strain Fol4287, each have distinct karyotypes. This enabled us to determine with chromosome electrophoresis whether the entire chromosome 14 of Fol007 was transferred into Fo-47+ strains. All Fo-47+ strains had the same karyotype as Fo-47, except for the presence of one or two additional small chromosomes (Fig. 4d). The chromosome present in all Fo-47+ strains (Fig. 4d, arrow number 1) was confirmed to be chromosome 14 from Fol007 based on its size and a Southern hybridization using a SIX6 probe (Fig. 4e). Interestingly, two double drug-resistant strains (Fo-47+ 1C and Fo-47+ 2A in Fig. 4a), which caused the highest level of disease (Fig. 4a, b), have a second extra chromosome, corresponding in size to the smallest chromosome in the donor strain Fol007 (Fig. 4d, arrow number 2).

Figure 4
Transfer of a pathogenicity chromosome

To rigorously assess whether additional genetic material other than chromosome 14 may have been transferred from Fol007 into Fo-47+ strains, we developed PCR primers for amplification of 29 chromosome-specific markers from Fol007 but not Fo-47. These markers (on average two for each chromosome) were used to screen Fo-47+ strains for the presence of Fol007-derived genomic regions (Supplementary information F.4 and Supplementary Fig. 16). All Fo-47+ strains were shown to have the chromosome 14 markers (Supplementary Fig. 17), but not Fol007 markers located on any core chromosome, confirming that core chromosomes were not transferred. Interestingly, the two Fo-47+ strains (1C and 2A) that have the second small chromosome and caused more disease symptoms were also positive for an additional Fol007 marker (Supplementary Fig. 17), associated with a large duplicated LS region in Fol4287: scaffold 18 (1.3Mb on chromosome 3) and scaffold 21 (1.0Mb on chromosome 6) (Fig. 2c). The presence of most or all of the sequence of scaffold 18/21 in strains 1C and 2A was confirmed with an additional nine primer pairs for genetic markers scattered over this region (data not shown, see Supplementary Tables 25a, b for primer sequences) (Fig. 4d).

Taken together, we conclude that pathogenicity of Fo-47+ strains towards tomato can be specifically attributed to the acquisition of Fol chromosome 14, which contains all known genes for small in planta-secreted proteins. In addition, genes on other LS chromosomes may further enhance virulence as demonstrated by the two strains containing the additional LS chromosome from Fol007. We did not find a double drug-resistant strain with a tagged chromosome of Fo-47 in the Fol007 background. Also, a randomly tagged transformant of Fol007 did not render any double drug-resistant colonies when co-incubated with Fo-47 (data not shown). This indicates that transfer between strains may be restricted to certain chromosomes, perhaps determined by various factors, including size and TE content of the chromosome. Their propensity for transfer is supported by the fact that the smallest LS chromosome in Fol007 moved to Fo-47 without being selected for drug resistance in two out of nine cases.

Discussion

Comparison of Fusarium genomes revealed a remarkable genome organization and dynamics of the asexual species Fol. This tomato pathogen contains four unique chromosomes making up more than one-quarter of its genome. Sequence characteristics of the genes in the LS regions indicate a distinct evolutionary origin of these regions. Experimentally, we have demonstrated the transfer of entire LS chromosomes through simple co-incubation between two otherwise genetically isolated members of Fo. The relative ease by which new tomato pathogenic genotypes are generated supports the hypothesis that such transfer between Fo strains may have occurred in nature24 and has a direct impact on our understanding of the evolving nature of fungal pathogens. Although rare, horizontal gene transfer has been documented in other eukaryotes, including metazoans26. However, spontaneous horizontal transfer of such a large portion of a genome and the direct demonstration of associated transfer of host-specific pathogenicity has not been previously reported.

Horizontal transfer of host specificity factors between otherwise distant and genetically isolated lineages of Fo may explain the apparent polyphyletic origins of host specialization27 and the rapid emergence of new pathogenic lineages in otherwise distinct and incompatible genetic backgrounds28. Fol LS regions are enriched for genes related to host–pathogen interactions. The mobilization of these chromosomes could, in a single event, transfer an entire suite of genes required for host compatibility to a new genetic lineage. If the recipient lineage had an environmental adaptation different from the donor, transfer could increase the overall incidence of disease in the host by introducing pathogenicity in a genetic background pre-adapted to a local environment. Such knowledge of the mechanisms underpinning rapid pathogen adaptation will affect the development of strategies for disease management in agricultural settings.

METHODS SUMMARY

Generation of genome sequencing and assembly

The whole genome shotgun (WGS) assemblies of Fv (8× coverage) and Fol (6.8× coverage) were generated using Sanger sequencing technology and assembled using Arachne6. Physical maps were created by anchoring the assemblies to the Fv genetic linkage map7 and to the Fol optical map, respectively.

Defining hierarchical synteny

Local-alignment anchors were detected using PatternHunter (1 × 1010) (ref.29). Contiguous sets of anchors with conserved order and orientation were chained together within 10 kb distance and filtered to ensure that no block overlaps another block by more than 90% of its length.

Identification of repetitive sequences

Repeats were detected by searching the genome sequence against itself using CrossMatch (≥ 200 bp and ≥ 60% sequence similarity). Full-length TEs were annotated using a combination of computational predictions and manual inspection. Large segmental duplications were identified using Map Aligner30.

Characterization of proteomes

Orthologous genes were determined based on BLASTP and pair-wise syntenic alignments (SI). The blast score ratio tests31 were used to compare relatedness of proteins among three genomes. The EMBOSS tool ‘cusp’ (http://emboss.sourceforge.net/) was used to calculate codon usage frequencies. Gene Ontology terms were assigned using Blast2GO32 software (BLASTP 1 × 1020) and tested for enrichment using Fisher’s exact test, corrected for multiple testing33. A combination of homology search and manual inspection was used to characterize gene families34,35. Potentially secreted proteins were identified using SignalP (http://www.cbs.dtu.dk/services/SignalP/) after removing trans-membrane/mitochondrial proteins based with TMHMM (http://www.cbs.dtu.dk/services/TMHMM/), Phobius (except in the first 50 amino acids), and TargetP (RC score 1 or 2) predictions. Small cysteine-rich secreted proteins were defined as secreted proteins that are less than 200 amino acids in length and contain at least 4% cysteine residues. GPI (glycosyl phosphatidyl inositol)-anchor proteins were identified by the GPI-anchor attachment signal among the predicted secreted proteins using a custom PERL script.

Supplementary Material

Supplement 1

Supplement 2

Supplement 3

Acknowledgements

The 4× sequence of F. verticillioides was provided by Syngenta Biotechnology Inc. Generation of the other 4× sequence of F. verticillioides and 6.8× sequence of F. oxysporum f. sp. lycopersici was funded by the National Research Initiative of USDA’s National Institute of Food and Agriculture through the Microbial Genome Sequencing Program (2005-35600-16405) and conducted by the Broad Institute Sequencing Platform. Wayne Xu and the Minnesota Supercomputing Institute for Advanced Computational Research are also acknowledged for their support. The authors thank Leslie Gaffney at the Broad Institute for graphic design and editing and Tracy E. Anderson of the University of Minnesota, College of Biological Sciences Imaging Center for spore micrographs.

Footnotes

Supplementary Information is linked to the online version of the paper at www.nature.com/nature.

Author Contributions L.-J.M., H.C.D., M.R. and H.C.K. coordinated genome annotation, data analyses, experimental validation and manuscript preparation. L.-J.M. and H.C.D. made equivalent contributions and should be considered joint first authors. H.C.K. and M.R. contributed equally as corresponding authors. K.A.B., C.A.C., J.J.C., M.-J.D., A.D.P., M.D., M.F., J.G., M.G., B.H., P.M.H., S.K., W.-B.S., C.W., X.X. and J.-R.X. made major contributions to genome sequencing, assembly, analyses and production of complementary data and resources. All other authors are members of the genome sequencing consortium and contributed annotation, analyses or data throughout the project.

Author Information All sequence reads can be downloaded from the NCBI trace repository. The assemblies of Fv and Fol have been deposited at GenBank under the project accessions AAIM02000000 and AAXH01000000. Detailed information can be accessed through the Broad Fusarium comparative website: http://www.broad.mit.edu/annotation/genome/fusarium_group.3/MultiHome.html. Reprints and permissions information is available at www.nature.com/reprints. This paper is distributed under the terms of the Creative Commons Attribution-Non-Commercial-Share Alike licence, and is freely available to all readers at www.nature.com/nature. The authors declare no competing financial interests.

References

1. Agrios GN. Plant Pathology. 5th edn. Academic Press; 2005.
2. Armstrong GM, Armstrong JK. In: Fusarium: Diseases, Biology and Taxonomy. Nelson PE, Toussoun TA, Cook R, editors. Penn State University Press; 1981. pp. 391–399.
3. O’Donnell K, et al. Genetic diversity of human pathogenic members of the Fusarium oxysporum complex inferred from multilocus DNA sequence data and amplified fragment length polymorphism analyses: evidence for the recent dispersion of a geographically widespread clonal lineage and nosocomial origin. J. Clin. Microbiol. 2004;42:5109–5120. [PMC free article] [PubMed]
4. Ortoneda M, et al. Fusarium oxysporum as a multihost model for the genetic dissection of fungal virulence in plants and mammals. Infect. Immun. 2004;72:1760–1766. [PMC free article] [PubMed]
5. Cuomo CA, et al. The Fusarium graminearum genome reveals a link between localized polymorphism and pathogen specialization. Science. 2007;317:1400–1402. [PubMed]
6. Jaffe DB, et al. Whole-genome sequence assembly for mammalian genomes: Arachne 2. Genome Res. 2003;13:91–96. [PMC free article] [PubMed]
7. Xu JR, Leslie JF. A genetic map of Gibberella fujikuroi mating population A (Fusarium moniliforme) Genetics. 1996;143:175–189. [PMC free article] [PubMed]
8. Desjardins AE, Proctor RH. Molecular biology of Fusarium mycotoxins. Int. J. Food Microbiol. 2007;119:47–50. [PubMed]
9. Qutob D, et al. Phytotoxicity and innate immune responses induced by Nep1-like proteins. Plant Cell. 2006;18:3721–3744. [PMC free article] [PubMed]
10. Ramos B, et al. The gene coding for a new transcription factor (ftf1) of Fusarium oxysporum is only expressed during infection of common bean. Fungal Genet. Biol. 2007;44:864–876. [PubMed]
11. Coleman JJ, et al. The genome of Nectria haematococca: contribution of supernumerary chromosomes to gene expansion. PLoS Genet. 2009;5:e1000618. [PMC free article] [PubMed]
12. Dean RA, et al. The genome sequence of the rice blast fungus Magnaporthe grisea. Nature. 2005;434:980–986. [PubMed]
13. Galagan JE, et al. The genome sequence of the filamentous fungus Neurospora crassa. Nature. 2003;422:859–868. [PubMed]
14. Galagan JE, et al. Sequencing of Aspergillus nidulans and comparative analysis with A. fumigatus and A. oryzae. Nature. 2005;438:1105–1115. [PubMed]
15. Thatcher LF, Manners JM, Kazan K. Fusarium oxysporum hijacks COI1-mediated jasmonate signaling to promote disease development in Arabidopsis. Plant J. 2009;58:927–939. [PubMed]
16. Dowd C, Wilson IW, McFadden H. Gene expression profile changes in cotton root and hypocotyl tissues in response to infection with Fusarium oxysporum f. sp. vasinfectum. Mol. Plant Microbe Interact. 2004;17:654–667. [PubMed]
17. Teunissen HA, et al. Construction of a mitotic linkage map of Fusarium oxysporum based on Foxy-AFLPs. Mol. Genet. Genomics. 2003;269:215–226. [PubMed]
18. Miao VP, Covert SF, VanEtten HD. A fungal gene for antibiotic resistance on a dispensable (“B”) chromosome. Science. 1991;254:1773–1776. [PubMed]
19. Harimoto Y, et al. Expression profiles of genes encoded by the supernumerary chromosome controlling AM-toxin biosynthesis and pathogenicity in the apple pathotype of Alternaria alternata. Mol. Plant Microbe Interact. 2007;20:1463–1476. [PubMed]
20. Houterman PM, et al. The mixed xylem sap proteome of Fusarium oxysporum-infected tomato plants. Mol. Plant Pathol. 2007;8:215–221. [PubMed]
21. van der Does HC, et al. Expression of effector gene SIX1 of Fusarium oxysporum requires living plant cells. Fungal Genet. Biol. 2008;45:1257–1264. [PubMed]
22. Houterman PM, et al. The effector protein Avr2 of the xylem colonizing fungus Fusarium oxysporum activates the tomato resistance protein I-2 intracellularly. Plant J. 2009;58:970–978. [PubMed]
23. Rep M, et al. A small, cysteine-rich protein secreted by Fusarium oxysporum during colonization of xylem vessels is required for I-3-mediated resistance in tomato. Mol. Microbiol. 2004;53:1373–1383. [PubMed]
24. van der Does HC, et al. The presence of a virulence locus discriminates Fusarium oxysporum isolates causing tomato wilt from other isolates. Environ. Microbiol. 2008;10:1475–1485. [PubMed]
25. Gladyshev EA, Meselson M, Arkhipova IR. Massive horizontal gene transfer in bdelloid rotifers. Science. 2008;320:1210–1213. [PubMed]
26. O’Donnell K, Kistler HC, Cigelnik E, Ploetz RC. Multiple evolutionary origins of the fungus causing Panama disease of banana: concordant evidence from nuclear and mitochondrial gene genealogies. Proc. Natl Acad. Sci. USA. 1998;95:2044–2049. [PMC free article] [PubMed]
27. Gale LR, Katan T, Kistler HC. The probable center of origin of Fusarium oxysporum f. sp. lycopersici VCG 0033. Plant Dis. 2003;87:1433–1438.
28. Li M, Ma B, Kisman D, Tromp J. Patternhunter II: highly sensitive and fast homology search. J. Bioinform. Comput. Biol. 2004;2:417–439. [PubMed]
29. Zhou S, et al. Single-molecule approach to bacterial genomic comparisons via optical mapping. J. Bacteriol. 2004;186:7773–7782. [PMC free article] [PubMed]
30. Rasko DA, Myers GS, Ravel J. Visualization of comparative genomic analyses by BLAST score ratio. BMC Bioinformatics. 2005;6:2. [PMC free article] [PubMed]
31. Conesa A, et al. Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics. 2005;21:3674. [PubMed]
32. Blüthgen N, et al. Biological profiling of gene groups utilizing Gene Ontology. Genome Inform. 2005;16:106–115. [PubMed]
33. Cantarel BL, et al. The Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics. Nucleic Acids Res. 2009;37:D233–D238. Database issue. [PMC free article] [PubMed]
34. Miranda-Saavedra D, Barton GJ. Classification and functional annotation of eukaryotic protein kinases. Proteins. 2007;68:893–914. [PubMed]
35. Guindon S, Gascuel O. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst. Biol. 2003;52:696–704. [PubMed]
36. Whelan S, Goldman N. A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach. Mol. Biol. Evol. 2001;18:691–699. [PubMed]
37. Engels R, et al. Combo: a whole genome comparative browser. Bioinformatics. 2006;22:1782–1783. [PubMed]
PubReader format: click here to try

Formats:

Related citations in PubMed

See reviews...See all...

Cited by other articles in PMC

See all...

Links

Recent Activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...