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Article

In Silico Identification of Pathogenicity Effectors on Fusarium oxysporum f. sp. vanillae

by
Felipe Roberto Flores-de la Rosa
1,
Cristian Matilde-Hernández
1,
Nelly Abigail González-Oviedo
1,
Humberto José Estrella-Maldonado
1,
Liliana Eunice Saucedo-Picazo
2 and
Ricardo Santillán-Mendoza
1,*
1
Campo Experimental Ixtacuaco (CEIXTA), Centro de Investigación Regional Golfo Centro (CIRGOC), Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP), Km. 4.5 Carretera Federal Martínez de la Torre-Tlapacoyan, Tlapacoyan 93600, Veracruz, Mexico
2
Campo Experimental Edzná (CE-Edzná), Centro de Investigación Regional Sur Este (CIRSE), Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP), Km. 15.5 Carretera Campeche-Pocyaxum, Campeche 24520, Campeche, Mexico
*
Author to whom correspondence should be addressed.
BioTech 2025, 14(3), 50; https://doi.org/10.3390/biotech14030050
Submission received: 27 May 2025 / Revised: 12 June 2025 / Accepted: 18 June 2025 / Published: 20 June 2025
(This article belongs to the Section Computational Biology)

Abstract

:
Vanilla is a highly valuable spice in multiple industries worldwide. However, it faces a serious problem due to a disease known as root and stem rot, caused by the fungus Fusarium oxysporum f. sp. vanillae. Little is known about the pathogenicity mechanisms this fungus employs to establish the disease, making it imperative to elucidate mechanisms such as the presence of pathogenicity effectors in its genome. The aim of the present study was to determine the presence of the SIX gene family in the genome of three strains of F. oxysporum associated with root rot: two pathogenic strains and one non-pathogenic endophyte strain. Additionally, the complete effectorome of these strains was predicted and compared to exclude effectors present in the endophytic strain. Our results show that only the SIX9 gene is present in the strains associated with the disease, regardless of their pathogenic nature. Furthermore, no variation was observed in the SIX9 gene among these strains, suggesting that SIX9 is not involved in pathogenicity. Instead, we identified 339 shared effectors among the three strains, including the non-pathogenic strain, strongly suggesting that these genes are not relevant for establishing root rot but may play a role in endophytic colonization. The highly virulent strain IXF41 exhibited eight exclusive pathogenicity effectors, while the moderately virulent strain IXF50 had four. Additionally, one effector was identified as shared between these two strains but absent in the endophytic strain. These effectors and their promoters were characterized, revealing the presence of several cis-regulatory elements responsive to plant hormones. Overall, our findings provide novel insights into the genomic determinants of virulence in F. oxysporum f. sp. vanillae, offering a foundation for future functional studies and the development of targeted disease management strategies.
Key Contribution: SIX9 is present in all strains studied but is not linked to pathogenicity in vanilla; strain-specific effectors were identified and linked to virulence, with regulatory elements responsive to plant hormones.

1. Introduction

Vanilla (Vanilla planifolia) is one of the most economically and culturally important crops worldwide, valued for its distinctive flavor and aroma [1]. However, its cultivation under conditions of high humidity and temperature makes it particularly susceptible to fungal pathogens, which significantly affect crop yields [2]. Among these, stem and root rot caused by Fusarium oxysporum f. sp. vanillae (Fov) [3] and F. oxysporum f. sp. radicis-vanillae (Forv) [4] stands out as the most critical disease globally, with reports from major producing countries such as Mexico [2,5], Colombia [6], Indonesia, and Madagascar [2,7].
Despite its significance, the mechanisms underlying Fov and Forv pathogenicity remain poorly understood. Unlike other F. oxysporum formae speciales, the damage caused by Fov and Forv appears to occur without vascular bundle colonization, likely through the release of phytotoxic compounds that induce tissue rot [2]. To date, no specific molecules—whether mycotoxins or other compounds—have been definitively associated with this process.
Among the formae speciales of Fusarium oxysporum, a family of pathogenicity effectors essential for disease development and associated with host specificity has been identified: the SIX (Secreted in Xylem) genes [8]. It has been demonstrated that this gene family confers pathogenicity to a non-pathogenic strain [9], and R proteins targeting SIX genes induce disease resistance [10]. However, for the Fov–vanilla interaction, no SIX genes have been identified as responsible for disease establishment. On the contrary, Solano-de la Cruz et al. [11] did not identify any homologs of these genes in the root infection transcriptome, suggesting they are not required for root rot development.
In addition to the SIX genes, recent research efforts have focused on identifying different pathogenicity effectors in the proteome or secretome of phytopathogenic fungi [12], which could help identify molecular targets for resistance induction [13]. Effectors are identified based on specific biochemical characteristics, such as a size of less than 400 amino acids, sequences rich in cysteine residues, the presence of a signal peptide, and the absence of transmembrane domains [14]. The collection of these effectors is known as the effectorome [15]. Identifying the effectorome of pathogenic strains provides deeper insights into the biochemical mechanisms these strains use to establish disease in different hosts [16].
In this study, we identified in silico potential pathogenic effectors from the sequenced, assembled, and annotated genomes of three F. oxysporum strains associated with vanilla root rot: two with differing virulence levels and one endophyte strain, reported recently by our work team [17]. By analyzing the in silico effectorome of these strains, we aim to identify potential pathogenicity-associated proteins, shedding light on the molecular mechanisms of F. oxysporum–vanilla interactions and contributing to the development of effective disease control strategies.

2. Materials and Methods

2.1. Genome and Proteome Database

The genome and proteome databases of the strains F. oxysporum f. sp. vanillae IXF41 (highly virulent) and IXF50 (moderately virulent), as well as the endophyte strain F. oxysporum IXF53, were retrieved from NCBI GenBank under Bioproject number PRJNA855480. Our research team previously reported the pathogenicity of these strains and their genome sequencing [17].

2.2. Synteny and SIX Gene Search in F. oxysporum Associated with Vanilla Root Rot

The linearity and synteny of the genomes of the three studied strains were determined against the genome of F. oxysporum f. sp. lycopersici 4287 [18] as a reference, obtained from NCBI (Bioproject number PRJNA640265). Mauve 2.1.0a1 software (https://darlinglab.org/mauve/mauve.html accessed on 13 November 2024) was used with default settings. Additionally, the sequences of the SIX1–SIX14 genes from F. oxysporum f. sp. lycopersici 4287 were retrieved, and a BLASTn analysis was performed on the three genomes under study. The identified SIX genes were aligned, and a phylogenetic analysis was conducted against those from other formae speciales employing MEGA X software [19].

2.3. Identification and Comparison of Canonical Pathogenicity Effectors

Canonical effectors were identified in the proteomes of F. oxysporum f. sp. vanillae IXF41 and IXF43, as well as the endophyte strain F. oxysporum IXF50. The criteria used to classify a protein as a pathogenicity effector were according to [14,15,16] and included the following: (1) protein length between 10 and 400 amino acids, (2) presence of at least four cysteine residues, (3) presence of a signal peptide, and (4) absence of transmembrane domains. To identify and isolate sequences with the first two characteristics, the EffHunter algorithm [14] was employed. Once the protein sequences were isolated, the presence of a signal peptide was determined using the online tool SignalP 5.0 (https://services.healthtech.dtu.dk/services/SignalP-5.0/ accessed on 25 November 2024) with default settings. The sequences showing a signal peptide were analyzed for transmembrane domains using TMHMM 2.0 (https://services.healthtech.dtu.dk/services/TMHMM-2.0/ accessed on 27 December 2024), and those with at least one transmembrane domain were discarded. Finally, the filtered sequences were analyzed to predict whether they exhibited cytosolic or symplastic effector characteristics using EffectorP v.3.0 software (https://effectorp.csiro.au/ accessed on 6 January 2024).
The sequences identified as canonical effectors were compared among the three strains under study to identify those present only in the F. oxysporum f. sp. vanillae strains, as well as those associated with high virulence levels. Effector proteins identified in all three genomes were considered part of the core effectorome. Available annotations were used for this core, and a text analysis was performed based on the annotations. Additionally, a Venn diagram was created to compare strain-specific effectors and identify those directly associated with virulence.

2.4. Alignment, Phylogenetic Analysis, and Structural Prediction of Pathogenicity Effectors

The sequences exclusive to the two F. oxysporum f. sp. vanillae strains were aligned using the Muscle algorithm, and the most parsimonious tree was inferred without implicit weights, utilizing 1000 bootstrap replicates for resampling. This analysis was conducted in MEGA X software [19]. The 3D structural predictions of the protein sequences were performed using the AI-based AlphaFold3 software (https://alphafoldserver.com/ https://alphafoldserver.com/ accessed on 15 January 2025) [20].

2.5. Identification of Cis-Regulatory Elements in the Promoter Regions of Identified Effectors

The coding loci for the proteins associated with pathogenicity were identified, and 2000 bp upstream of the start codon were isolated from the genomes of the IXF41 and IXF43 strains, representing the promoter region. Once the promoter sequences were isolated, cis-regulatory elements were identified using the PlantCARE database [21] (https://bioinformatics.psb.ugent.be/webtools/plantcare/html/ accessed on 22 January 2025).

3. Results

3.1. Identification of SIX Genes and Synteny

The search for the 14 SIX genes described in F. oxysporum f. sp. lycopersici 4287 using BLASTn analysis revealed only one sequence of 758 bp corresponding to the SIX9 gene across the three genomes (pathogenic and endophyte strains). SIX9 was totally conserved among the F. oxysporum f. sp. vanillae and endophyte strains (Figure 1A). The phylogenetic analysis based on the coding sequences of the SIX9 gene recovered from the three strains under study, as well as from other F. oxysporum formae speciales, yielded 10 equally parsimonious trees. From these, a strict consensus tree was constructed. The resulting topology showed that the SIX9 sequences from strains IXF41, IXF50, and IXF53 grouped into a well-supported independent clade, distinct from the other formae speciales (Figure 1B). All evidence suggests that the SIX9 gene is not associated with the pathogenic features of Fov.
The synteny analysis revealed that the scaffolds of the IXF41, IXF50, and IXF53 genomes are syntenic with the core chromosomes of the Fol4287 genome. However, no synteny was detected for the accessory chromosomes (Chr. 3, 6, 14, and 15) in any of the three strains. This finding is unexpected for F. oxysporum f. sp. vanillae strains (Figure 2). Therefore, these results indicate that there is no evidence of the presence of accessory chromosomes in the genome of F. oxysporum f. sp. vanillae.

3.2. Identification of the Core Effectorome in F. oxysporum Associated with Vanilla Roots

The in silico proteomes of the previously mentioned strains were analyzed. For the strain Fov IXF41, the proteome contained 18,139 sequences; for Fov IXF50, it contained 18,143 proteins; and for the endophyte strain F. oxysporum IXF53, the proteome included 18,136 protein sequences. After filtering, 350, 349, and 346 protein sequences with pathogenicity effector characteristics were identified in strains IXF41, IXF50, and IXF53, respectively.
When comparing the effectors identified across the three strains, 339 proteins were found to be shared, which were considered the core effectorome of F. oxysporum associated with vanilla roots (Figure 3A). Additionally, two proteins were found to be exclusively shared between strains Fov IXF41 and Fo IXF53, while five proteins were exclusively shared between strains Fov IXF50 and Fo IXF53. This suggests that these proteins are not related to pathogenicity; however, they are not considered part of the core effectorome since they are not present in all three strains. Also, specific effectors on the IXF53 genome were not observed.
Based on the available annotations for the 339 proteins, a text analysis was performed and represented in a word cloud (Figure 3B). The word cloud prominently featured concepts associated with cell wall component degradation, highlighting terms such as “lyase,” “cutinase,” “hydrolase,” and “esterase,” among others. Additionally, it emphasized carbohydrate-associated concepts like “glycosyl,” “pectate,” and “acetylxylan.” However, the word cloud also prominently included terms suggesting that the core effectorome proteins are not yet fully annotated, as evidenced by the presence of terms like “probable,” “unknown,” or “uncharacterized.”
The results of the core effectorome annotation analysis demonstrate that these effectors are associated with root cell wall degradation to facilitate colonization. However, the evidence suggests that these effectors are not associated with pathogenicity against vanilla.

3.3. Characterization of Putative Pathogenicity Effectors

From the effector identification analysis across the three genomes, the highly virulent strain Fov IXF41 was found to have eight unique specific effectors, while the Fov IXF50 strain contained four specific pathogenicity effectors. Both strains share one effector absent in the endophyte strain, referred to by its identifier in the FOV IXF41 strain (Fov_IXF41_031029754.1.1) (Figure 4A). These specific sequences were aligned, and a phylogenetic analysis, along with conserved domain identification, was performed. A single most parsimonious tree (L = 2121) was retrieved, showing phylogenetic homology between Fov_IXF41_031037941.1.1 and Fov_IXF50_031039538.1.1 (Figure 4A). However, no conserved domains were identified in either sequence (Figure 4B).
Some proteins in Fov IXF41 were grouped into clades (Figure 4A), but conserved domains were dissimilar among clade members, except for Fov_IXF41_031032351.1.1 and Fov_IXF41_031038191.1.1, which shared three out of four identified conserved domains (Figure 4B). Proteins from Fov IXF50 did not form specific clades (Figure 4A), and conserved domains were only identified in Fov_IXF50_031030885.1.1 and Fov_IXF41_031029754.1.1, the latter being present in both pathogenic strains of F. oxysporum f. sp. vanillae (Figure 4B).

3.4. Biochemical and Structural Prediction of Putative Effectors

Some biochemical characteristics of the proteins identified as pathogenicity effectors were predicted. The sequence lengths ranged from 88 to 378 amino acids, and the molecular weights (MWs) ranged from 9924.11 to 40,439.83 g mol−1. The predicted isoelectric points (pI) ranged from 5.29 to 9.86, with most proteins showing values below 7. Additionally, six proteins had instability index (II) values below 40, indicating high stability, while the aliphatic index (AI) values ranged from 30.63 to 98.64, showing variable thermotolerance. GRAVY values indicated that all proteins, except Fov_IXF50_031039538.1.1, were hydrophilic.
Moreover, prediction analyses suggested that, of the 13 sequences analyzed, 9 are cytoplasmic effectors, while only 4 are apoplastic. The results of the biochemical prediction are summarized in Table 1.
The AlphaFold3 AI platform was used to predict the three-dimensional structure of the 13 identified proteins. Figure 5 shows the structure of the eight exclusive proteins identified in the highly virulent Fov IXF41 strain. The structures reveal segments with high confidence in the three-dimensional prediction (blue), generally in the most folded regions. Conversely, the structure of other residues shows low confidence, corresponding to poorly structured regions (yellow-orange). The protein Fov_IXF41_03102935857 exhibited the highest confidence in its structural prediction, with values of II = 22.42, suggesting high stability, and AI = 69.78, suggesting high thermotolerance. It is also hydrophilic and cytoplasmic (Table 1), making it an important candidate for future evaluations.

3.5. Identification of Cis Elements in Promoter Region of Effectors

Up to 2000 bp were isolated upstream of the start codon of proteins identified as pathogenicity effectors, and cis-regulatory elements were identified in this region. The promoters analyzed contained between 24 cis-regulatory elements, in the protein Fov_IFX41_031032351.1.1, and 47 elements in Fov_IXF41_031039331.1.1. These regulatory elements responded to various internal and external stimuli. Notably, all promoters contained elements responsive to plant hormones (Figure 6), including auxins, methyl jasmonate (MeJA), gibberellins, abscisic acid, and salicylic acid, with MeJA response elements being particularly abundant. Additionally, light, low-temperature, and meristem elongation response elements were observed in all promoters.

4. Discussion

4.1. The Pathogenic Ability of F. oxysporum f. sp. vanillae Toward Vanilla Is Independent of the SIX Effectors

In recent years, research on the molecular mechanisms of the various formae speciales within the F. oxysporum species complex has focused primarily on the identification, variation, and role of SIX genes in their interactions with respective hosts [8]. SIX genes have also been utilized as molecular markers to discriminate between formae speciales [22] and for the early detection of the pathogen [23].
Our findings show that, of the 14 SIX genes currently reported across different formae speciales of F. oxysporum, only the SIX9 gene was identified. Interestingly, this gene was present in all three strains analyzed, including the non-pathogenic endophyte strain, and no sequence variation was observed among them. Previous studies have reported that SIX9 is highly conserved among strains of F. oxysporum f. sp. vasinfectum and is associated with increased virulence [24]. Similarly, highly virulent strains of F. oxysporum f. sp. pisi carry the SIX9 gene, although its in planta expression is not consistently observed, suggesting that SIX9 is not essential for pathogenicity [25].
An important aspect of SIX9 is its chromosomal location. In other formae speciales, such as F. oxysporum f. sp. cepae, it is typically located on accessory chromosomes [26]. However, our results strongly suggest that the F. oxysporum strains associated with vanilla root rot, both pathogenic and endophytic, lack accessory chromosomes. Instead, the SIX9 gene appears to be part of the core genome of F. oxysporum.
Phylogenetic analysis further indicates that the clade formed by F. oxysporum f. sp. vanillae strains is basal to other formae speciales. This finding suggests that the SIX9 sequences identified in this study, which appear to play no role in pathogenicity, may be ancestral to the specialized SIX9 sequences observed in other formae speciales. This hypothesis warrants further investigation in future studies.
The evidence presented in this work shows the absence of the remaining 13 SIX genes in F. oxysporum f. sp. vanillae. This aligns with the absence of accessory chromosomes found in the strain F. oxysporum f. sp. lycopersici 4287 [18], where SIX genes are located on chromosome 14. Similarly, SIX genes have been identified in accessory chromosomes in F. oxysporum f. sp. cepae [26] and F. oxysporum f. sp. lactucae [27]. Experimental evidence shows that horizontal transfer of accessory chromosomes confers virulence to endophyte strains due to the transfer of SIX genes, which act as pathogenicity effectors [28,29].
The absence of SIX genes in vanilla-pathogenic strains could be associated with the domestication level of vanilla compared to other crops [30]. Vanilla remains under very low domestication, as the use of improved varieties through traditional cultivation techniques is relatively recent [31], and genetically improved materials have not been widely disseminated to exert selection pressure on F. oxysporum populations [32].
Our results provide important evidence for understanding the origin of SIX genes and suggest that their function is associated with the domestication level of the host.

4.2. Identification of the Core Effectorome in F. oxysporum Associated with Vanilla Root

Numerous studies have revealed that the genome of F. oxysporum is composed of two distinct components: (1) the core genome, which includes all the genetic material inherited vertically and is essential for the fungal life cycle, and (2) accessory chromosomes, which, while not crucial for the fungal life cycle, provide the ability to infect specific hosts and are acquired through horizontal transfer [28].
However, no clear distinction has been made between effectors that are essential for establishing the interaction between Fusarium and the plant and those responsible for the development of pathogenicity. Currently, all identified proteins with the characteristics of size, presence of a signal peptide, absence of transmembrane domains, and cysteine residues are considered pathogenicity effectors [33].
The focus of this study was to use F. oxysporum f. sp. vanillae strains with varying levels of virulence toward vanilla, including a non-pathogenic endophyte strain. This approach allowed the identification of 339 proteins with effector-like characteristics shared among the three strains. These findings suggest that these proteins are not associated with virulence but rather with the ability to establish an interaction between the fungus and vanilla roots. Therefore, we propose considering these proteins as the “Core Effectorome,” representing effectors indispensable for the establishment of the fungus–plant interaction.
The analysis of annotations for the 339 proteins in the core effectorome supports the hypothesis that these effectors are necessary for establishing the interaction, as they are predominantly associated with carbohydrate degradation in the root. For example, one of the main functional annotations is “lyase” activity, which has been linked to the production of cell wall-degrading enzymes [34,35]. These enzymes can act as Microbe-Associated Molecular Patterns (MAMPs) and be detected by the plant to activate pattern-triggered immunity (PTI), as reported for the pectate lyase enzyme of Fusarium sacchari [36].
Additionally, other lytic enzymes, such as glycosyl hydrolases, have been reported to play a significant role in the establishment of endophytic Fusarium by modulating the immune response and activating PTI [37,38]. Therefore, it is crucial to further investigate the core effectorome in other formae speciales, as well as in non-pathogenic endophyte strains, to determine which effectors are indispensable for the establishment of the symbiotic interaction between Fusarium and the plant. Moreover, studies on the functionality of core effectors are needed to understand their role in modulating the plant immune response.

4.3. Identification of Putative Pathogenic Effectors in F. oxysporum f. sp. vanillae

After excluding core effectors, 13 proteins absent in the endophyte strain were identified, which are considered putative pathogenicity effectors. Of these 13 effectors, only 1 is shared between both strains. These proteins exhibited a wide range of biochemical characteristics, such as pI; however, most were found within the range of 6–9, which has been reported as optimal for fungal effectors to move into the cytosol [39].
Moreover, most of these proteins exhibit predicted features with AI values > 49.9 and II values < 40, suggesting high protein stability and hydrophilicity, characteristics typically associated with pathogenicity effectors [40]. Additionally, 3D structure prediction analyses showed that current algorithms still present many regions with low confidence levels in the modeling, which may be linked to limited experimental knowledge of these effectors.
Further studies are needed to elucidate the functionality and mechanisms of the proteins identified in this study in the establishment and progression of vanilla root rot.

4.4. The Promoters of Putative Pathogenic Effectors Contain Cis Elements Responsive to Plant Hormones

The analysis of cis-regulatory elements in the promoters of the putative pathogenicity effectors revealed numerous elements responsive to various stimuli. Notably, plant hormone-responsive elements were identified, including auxin-responsive elements. Several studies have reported interactions between auxins and fungal pathogenicity effectors [41,42,43], including those involving pathogens of the Fusarium genus [44].
Additionally, regulatory elements responsive to salicylic acid (SA) were observed. SA has been reported to induce resistance to infection by F. oxysporum f. sp. vanillae (Fov) over prolonged periods [45]. Abscisic acid (ABA)-responsive elements were also identified in several effector promoters. ABA has been shown to act as a virulence factor in phytopathogenic fungi, as well as a plant signaling molecule [46]. Thus, it may play a significant role in the expression of effector-encoding genes identified in this study.
On the other hand, all the promoters of the identified effectors exhibit numerous methyl jasmonate (MeJA)-responsive elements. This is particularly significant, as this phytohormone, derived from jasmonic acid, is essential during the development of infections by necrotrophic fungi [47], as reported in the Fusarium oxysporum f. sp. vanillae (Fov)–vanilla interaction [48].
Unfortunately, knowledge of how plant hormones influence the expression of pathogenicity effectors remains very limited. However, the present findings highlight a valuable opportunity to further investigate the molecular mechanisms underlying plant–pathogen interactions.

5. Conclusions

In the present study, we observed evidence that the genome of F. oxysporum f. sp. vanillae lacks accessory chromosomes based on synteny analysis. Furthermore, in line with this, we did not observe 13 of the 14 SIX genes identified in other formae speciales, with the exception of the SIX9 gene. However, this gene is also found in the Fo IXF53 strain, which is an endophyte non-pathogenic strain, and the SIX9 gene sequence is completely conserved across the three strains under study; the in silico analysis indicated that this gene does not participate in virulence against vanilla. Therefore, we can conclude that SIX genes are not necessary for F. oxysporum f. sp. vanillae to cause disease in vanilla.
We identified proteins that meet the criteria to be considered canonical pathogenicity effectors; however, we observed that 339 of these proteins are shared among the three strains, including the non-pathogenic endophyte, suggesting that these effectors do not play a role in the establishment of disease, but are instead associated with the establishment of the interaction between the fungus and the plant. This is supported by the annotation of these proteins being primarily associated with cell wall degradation. We propose the term “Core Effectorome” for these effectors that are not associated with pathogenicity and are present in non-virulent strains.
On the other hand, we identified 13 effector proteins exclusive to the pathogenic strains: 8 in the highly virulent strain, 4 in the moderately virulent strain, and 1 protein shared exclusively between these two. Their predicted characteristics align with previous reports of pathogenicity effectors. However, further studies are necessary to elucidate the role of these genes in the establishment of the root rot disease in vanilla.
Overall, our findings provide novel insights into the molecular basis of pathogenicity in F. oxysporum f. sp. vanillae, and establish a valuable genomic foundation for future studies aimed at understanding and mitigating root and stem rot in vanilla.

Author Contributions

Conceptualization, R.S.-M. and F.R.F.-d.l.R.; methodology, F.R.F.-d.l.R., R.S.-M. and N.A.G.-O.; investigation, R.S.-M., H.J.E.-M., L.E.S.-P. and C.M.-H.; data curation R.S.-M., L.E.S.-P. and H.J.E.-M.; writing—original draft preparation, R.S.-M. and F.R.F.-d.l.R.; writing—review and editing, R.S.-M., H.J.E.-M., N.A.G.-O., L.E.S.-P., C.M.-H. and F.R.F.-d.l.R.; funding acquisition, R.S.-M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Consejo Veracruzano de Investigación Científica y Desarrollo Tecnológico, with a grant for the project 15 1755/2021 “Diseño y validación de marcadores moleculares para la detección del agente causal de la fusariosis en vainilla mediante genómica comparativa”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author(s).

Acknowledgments

The authors acknowledge the anonymous reviewers for their invaluable comments on this manuscript.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Barragán-Ocaña, A.; Silva-Borjas, P.; Cecilio-Ayala, E. Vanilla production in the world and Mexico: Market value and technology. SSHO 2024, 10, e101076. [Google Scholar] [CrossRef]
  2. Córdova-Nieto, C.; Flores-Estévez, N.; Iglesias-Andreu, L.G.; Rosas-Saito, G.H.; Alonso-López, A.; Noa-Carrazana, J.C. Identification of fungal disease in a Vanilla planifolia Jacks plantation in the central zone of the state of Veracruz, Mexico. Agroproductividad 2024, 17, 103–108. [Google Scholar] [CrossRef]
  3. Adame-García, J.; Rodríguez-Guerra, R.; Iglesias-Andreu, L.G.; Ramos-Prado, J.M.; Luna-Rodríguez, M. Molecular identification and pathogenic variation of Fusarium species isolated from Vanilla planifolia in Papantla Mexico. Bot. Sci. 2015, 93, 669–678. [Google Scholar] [CrossRef]
  4. Koyyappurath, S.; Atuahiva, T.; Le Guen, R.; Batina, H.; Le Squin, S.; Gautheron, N.; Hermann, V.E.; Peribe, J.; Jahiel, M.; Steinberg, C.; et al. Fusarium oxysporum f. sp. radicis-vanillae is the causal agent of root and stem rot of vanilla. Plant Pathol. 2015, 65, 612–625. [Google Scholar] [CrossRef]
  5. Flores-de la Rosa, F.R.; De Luna, E.; Adame-García, J.; Iglesias-Andreu, L.G.; Luna-Rodríguez, M. Phylogenetic position and nucleotide diversity of Fusarium oxysporum f. sp. vanillae worldwide based on translation elongation factor 1α sequences. Plant Pathol. 2018, 67, 1278–1285. [Google Scholar] [CrossRef]
  6. Franco-Galindo, L.S.; Mosquera-Espinosa, A.T. Biocontrol against Fusarium spp. in vanilla crop: A new study model. Temas Agrarios 2023, 28, 95–114. [Google Scholar] [CrossRef]
  7. Pinaria, A.G.; Liew, E.C.Y.; Burgess, L.W. Fusarium species associated with vanilla stem rot in Indonesia. Australas. Plant Pathol. 2010, 39, 176–183. [Google Scholar] [CrossRef]
  8. Jangir, P.; Mehra, N.; Sharma, K.; Singh, N.; Rani, M.; Kapoor, R. Secreted in Xylem genes: Drivers of host adaptation in Fusarium oxysporum. Front. Plant Sci. 2021, 12, e628611. [Google Scholar] [CrossRef]
  9. Li, J.; Fokkens, L.; Conneely, L.J.; Rep, M. Partial pathogenicity chromosomes in Fusarium oxysporum are sufficient to cause disease and can be horizontally transferred. Environ. Microbiol. 2020, 14, 4985–5004. [Google Scholar] [CrossRef]
  10. Šimkovicová, M.; Kramer, G.; Rep, M.; Takken, F.L.W. Tomato R-gene-mediated resistance against Fusarium wilt originates in roots and extends to shoots via xylem to limit pathogen colonization. Front. Plant Sci. 2024, 15, e1384431. [Google Scholar] [CrossRef]
  11. Solano-de la Cruz, M.T.; Escobar-Hernández, E.E.; Arciniega-González, J.A.; Rueda-Zozaya, R.P.; Adame-García, J.; Luna-Rodríguez, M. Bioinformatic analysis deciphers the molecular toolbox in the endophytic/pathogenic behavior in F. oxysporum f. sp. vanillae—V. planifolia Jacks interaction. bioRxiv 2021. [Google Scholar] [CrossRef]
  12. Seong, K.; Krasileva, K.V. Prediction of effector protein structures from fungal phytopathogens enables evolutionary analyses. Nat. Microbiol. 2023, 8, 174–187. [Google Scholar] [CrossRef] [PubMed]
  13. Zhang, C.; Feng, Q.; Ruan, J.; Wang, G.L.; You, X.; Ning, Y. Targeting conserved secreted effectors to control rice blast. Trends Plant Sci. 2025, 30, 7–9. [Google Scholar] [CrossRef]
  14. Carreón-Anguiano, K.G.; Islas-Flores, I.; Vega-Arreguín, J.; Sáenz-Carbonell, L.; Canto-Canché, B. EffHunter: A Tool for Prediction of Effector Protein Candidates in Fungal Proteomic Databases. Biomolecules 2020, 10, 712. [Google Scholar] [CrossRef]
  15. Longsaward, R.; Viboonjun, U.; Wen, Z.; Asiegbu, F.O. In silico analysis of secreted effectorome of the rubber tree pathogen Rigidoporus microporus highlights its potential virulence proteins. Front. Microbiol. 2024, 15, e1439454. [Google Scholar] [CrossRef]
  16. Lovelace, A.H.; Dorhmi, S.; Hulin, M.T.; Li, Y.; Mansfield, J.W.; Ma, W. Effector identification in plant pathogens. Phytopathology 2023, 113, 637–650. [Google Scholar] [CrossRef]
  17. Santillán-Mendoza, R.; Estrella-Maldonado, H.J.; Matilde-Hernández, C.; Luna-Rodríguez, M.; Rodríguez-Quibrera, C.G.; González-Cruz, C.; Torres-Olaya, M.; Flores-de la Rosa, F.R. Genome Sequence Resource of Fusarium oxysporum f. sp. vanillae IXF41 and IXF50 Alongside the Endophyte F. oxysporum IXF53, Isolated from Vanilla Root Rot. Plant Dis. 2023, 107, 899–902. [Google Scholar] [CrossRef]
  18. Ma, L.J.; van der Does, H.C.; Borkovich, K.A.; Coleman, J.J.; Daboussi, M.J.; Di Pietro, A.; Dufresne, M.; Freitag, M.; Grabherr, M.; Henrissat, B.; et al. Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium. Nature 2010, 464, 367–373. [Google Scholar] [CrossRef]
  19. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular Evolutionary Genetics Analysis across computing platforms. Mol. Biol. Evol. 2018, 35, 1547–1549. [Google Scholar] [CrossRef]
  20. Abramson, J.; Adler, J.; Dunger, J.; Evans, R.; Green, T.; Pritzel, A.; Ronneberger, O.; Willmore, L.; Ballard, A.J.; Bambrick, J.; et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 2024, 630, 493–500. [Google Scholar] [CrossRef]
  21. Lescot, M.; Déhais, P.; Thijs, G.; Marchal, K.; Moreau, Y.; Van de Peer, Y.; Rombauts, S.; Rouzé, P. PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences. Nucleic Acids Res. 2002, 30, 325–327. [Google Scholar] [CrossRef]
  22. Batson, A.M.; Fokkens, L.; Rep, M.; du Toit, L.J. Putative effector genes distinguish two pathogenicity groups of Fusarium oxysporum f. sp. spinaciae. Mol. Plant Microbe Interact. 2020, 34, 141–156. [Google Scholar] [CrossRef] [PubMed]
  23. Kaliapan, K.; Mazlin, S.N.A.; Chua, K.O.; Rejab, N.A.; Mohd-Yusuf, Y. Secreted in Xylem (SIX) genes in Fusarium oxysporum f. sp. cubense (Foc) unravels the potential biomarkers for early detection of Fusarium wilt disease. Arch. Microbiol. 2024, 206, e271. [Google Scholar] [CrossRef] [PubMed]
  24. Jobe, T.O.; Urner, M.; Ulloa, M.; Broders, K.; Hutmacher, R.B.; Ellis, M.L. Secreted in Xylem (SIX) gene SIX9 is highly conserved in Fusarium oxysporum f. sp. vasinfectum race 4 isolates from cotton in the United States. Phytofrontiers 2024, 4, 476–481. [Google Scholar] [CrossRef]
  25. Jenkins, S.; Taylor, A.; Jackson, A.C.; Armitage, A.D.; Bates, H.J.; Mead, A.; Harrison, R.J.; Clarkson, J.P. Identification and expression of Secreted In Xylem pathogenicity genes in Fusarium oxysporum f. sp. pisi. Front. Microbiol. 2021, 12, e593140. [Google Scholar] [CrossRef]
  26. Sakane, K.; Akiyama, M.; Jogaiah, S.; Ito, S.; Sasaki, K. Pathogenicity chromosome of Fusarium oxysporum f. sp. cepae. Fungal Genet. Biol. 2024, 170, 103860. [Google Scholar] [CrossRef]
  27. Bates, H.J.; Pike, J.; Price, R.J.; Jenkins, S.; Connell, J.; Legg, A.; Armitage, A.; Harrison, R.J.; Clarkson, J.P. Comparative genomics and transcriptomics reveal differences in effector complement and expression between races of Fusarium oxysporum f. sp. lactucae. Front. Plant Sci. 2024, 15, e1415534. [Google Scholar] [CrossRef]
  28. Yang, H.; Yu, H.; Ma, L.J. Accessory chromosomes in Fusarium oxysporum. Phytopathology 2020, 110, 1488–1496. [Google Scholar] [CrossRef]
  29. Yu, D.S.; Outram, M.A.; Smith, A.; McCombe, C.L.; Khambalkar, P.B.; Rima, S.A.; Sun, X.; Ma, L.; Ericsson, D.J.; Jones, D.A.; et al. The structural repertoire of Fusarium oxysporum f. sp. lycopersici effectors revealed by experimental and computational studies. eLife 2024, 12, RP89280. [Google Scholar] [CrossRef]
  30. Alam, O.; Purugganan, M.D. Domestication and the evolution of crops: Variable syndromes, complex genetic architectures, and ecological entanglements. Plant Cell 2024, 36, 1227–1241. [Google Scholar] [CrossRef]
  31. Favre, F.; Jourda, C.; Grisoni, M.; Piet, Q.; Rivallan, R.; Dijoux, J.B.; Hascoat, J.; Lepers-Andrzejewski, S.; Besse, P.; Charron, C. A genome-wide assessment of the genetic diversity, evolution and relationships with allied species of the clonally propagated crop Vanilla planifolia Jacks. ex Andrews. Genet. Resour. Crop Evol. 2022, 69, 2125–2139. [Google Scholar] [CrossRef]
  32. Derbyshire, M.C. Bioinformatic detection of positive selection pressure in plant pathogens: The neutral theory of molecular sequence evolution in action. Front. Microbiol. 2020, 11, e644. [Google Scholar] [CrossRef] [PubMed]
  33. Anna-Todd, J.W.; Carreón-Anguiano, K.G.; Islas-Flores, I.; Canto-Canché, B. Microbial effectors: Key determinants in plant health and disease. Microorganisms 2022, 10, 1980. [Google Scholar] [CrossRef] [PubMed]
  34. Perincherry, L.; Ajmi, C.; Oueslati, S.; Waskiewicz, A.; Stepien, L. Induction of Fusarium lytic enzymes by extracts from resistant and susceptible cultivars of pea (Pisum sativum L.). Pathogens 2020, 9, 976. [Google Scholar] [CrossRef]
  35. Mengistu, A.A. Endophytes: Colonization, behaviour, and their role in defense mechanism. Int. J. Microbiol. 2020, e6927219. [Google Scholar] [CrossRef]
  36. Wang, C.; Huang, Z.; Duan, Z.; Zhu, L.; Di, R.; Bao, Y.; Powell, C.A.; Hu, Q.; Chen, B.; Zhang, M.; et al. Pectate lyase from Fusarium sacchari induces plant immune responses and contributes to virulence. Microbiol. Spectr. 2023, 11, e00165-23. [Google Scholar] [CrossRef]
  37. Bradley, E.L.; Ökmen, B.; Doehlmann, G.; Henrissat, B.; Bradshaw, R.E.; Mesarich, C.H. Secreted glycoside hydrolase proteins as effectors and invasion patterns of plant-associated fungi and oomycetes. Front. Plant Sci. 2022, 13, e853106. [Google Scholar] [CrossRef]
  38. Jhon, E.; Chau, M.Q.; Hoang, C.V.; Chandrasekharan, N.; Bhaskar, C.; Ma, L.M. Fungal cell wall-associated effectors: Sensing, integration, suppression, and protection. Mol. Plant Microbe Interact. 2024, 37, 196–210. [Google Scholar] [CrossRef]
  39. Smigielski, L.; Aguilar, G.B.; Kwaaitaal, M.; Zhang, W.J.; Thordal-Christensen, H. The isoelectric point of proteins influences their translocation to the extrahaustorial matrix of the barley powdery mildew fungus. Cell. Microbiol. 2019, 21, e13091. [Google Scholar] [CrossRef]
  40. Kavya, N.; Prasannakumar, M.K.; Venkateshbabu, G.; Niranjan, V.; Uttarkar, A.; Buela Parivallal, P.; Banakar, S.N.; Mahesh, H.B.; Devanna, P.; Manasa, K.G.; et al. Insights on novel effectors and characterization of metacaspase (RS107_6) as a potential cell death-inducing protein in Rhizoctonia solani. Microorganisms 2023, 11, 920. [Google Scholar] [CrossRef]
  41. Navarrete, F.; Gallei, M.; Kornienko, A.E.; Saado, I.; Khan, M.; Chia, K.S.; Darino, M.A.; Bindics, J.; Djamei, A. TOPLESS promotes plant immunity by repressing auxin signaling and is targeted by the fungal effector Naked1. Plant Commun. 2021, 3, 100269. [Google Scholar] [CrossRef] [PubMed]
  42. Bindics, J.; Khan, M.; Uhse, S.; Kogelmann, B.; Baggely, L.; Reumann, D.; Ingole, K.D.; Stirnberg, A.; Rybecky, A.; Darino, M.; et al. Many ways to TOPLESS—Manipulation of plant auxin signalling by a cluster of fungal effectors. New Phytol. 2022, 236, 1455–1470. [Google Scholar] [CrossRef]
  43. Nagarajan, N.; Khan, M.; Djamei, A. Manipulation of auxin signaling by smut fungi during plant colonization. J. Fungi 2023, 9, 1184. [Google Scholar] [CrossRef]
  44. Liu, Q.; Xu, S.; Jin, L.; Yu, X.; Yang, C.; Liu, X.; Zhang, Z.; Liu, Y.; Li, C.; Ma, F. Silencing of early auxin responsive genes MdGH3-2/12 reduces the resistance to Fusarium solani in apple. J. Integr. Agric. 2024, 23, 3012–3024. [Google Scholar] [CrossRef]
  45. Ortega-Macareno, L.C.; Iglesias-Andreu, L.G.; Luna-Rodríguez, M.; Noa-Carrazana, J.C. Resistance induction in Vanilla planifolia Jacks. by foliar spray of salicylic acid (SA) against Fusarium oxysporum f. sp. vanillae. Vegetos 2023, 37, 2002–2009. [Google Scholar] [CrossRef]
  46. Lievens, L.; Pollier, J.; Goossens, A.; Beyaert, R.; Staal, J. Abscisic acid as pathogen effector and immune regulator. Front. Plant Sci. 2017, 8, 587. [Google Scholar] [CrossRef]
  47. Macioszek, V.K.; Jęcz, T.; Ciereszko, I.; Kononowicz, A.K. Jasmonic acid as a mediator in plant response to necrotrophic fungi. Cells 2023, 12, 1027. [Google Scholar] [CrossRef]
  48. Li, X.; Wang, X.; Weng, G.; Zhu, M.; Yan, K. Genome-wide identification and characterization of the fatty acid desaturase gene family in Vanilla planifolia. S. Afr. J. Bot. 2022, 150, 813–820. [Google Scholar] [CrossRef]
Figure 1. Alignment and phylogenetic tree of the SIX9 gene from the strains of vanilla rot root. (A) Alignment of the SIX9 gene sequence from the three strains under study, including two strains of Fusarium oxysporum f. sp. vanillae with different virulence levels (IXF41 and IXF50) and a non-pathogenic endophytic strain of F. oxysporum (IXF53) associated with vanilla roots. (B) Phylogenetic tree reconstructed from SIX9 gene sequences from different formae speciales of F. oxysporum. The highlighted clade corresponds to the strains from this study, which form a basal clade relative to the other F. oxysporum formae speciales.
Figure 1. Alignment and phylogenetic tree of the SIX9 gene from the strains of vanilla rot root. (A) Alignment of the SIX9 gene sequence from the three strains under study, including two strains of Fusarium oxysporum f. sp. vanillae with different virulence levels (IXF41 and IXF50) and a non-pathogenic endophytic strain of F. oxysporum (IXF53) associated with vanilla roots. (B) Phylogenetic tree reconstructed from SIX9 gene sequences from different formae speciales of F. oxysporum. The highlighted clade corresponds to the strains from this study, which form a basal clade relative to the other F. oxysporum formae speciales.
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Figure 2. Graphical representation of synteny among the three F. oxysporum strains under study compared to F. oxysporum f. sp. lycopersici 4287 (Fol 4287). (A) Fol 4287 vs. Fov IXF41. (B) Fol 4287 vs. Fov IXF50. (C) Fol 4287 vs. Fo IXF53. Gray lines indicate core genome sinteny.
Figure 2. Graphical representation of synteny among the three F. oxysporum strains under study compared to F. oxysporum f. sp. lycopersici 4287 (Fol 4287). (A) Fol 4287 vs. Fov IXF41. (B) Fol 4287 vs. Fov IXF50. (C) Fol 4287 vs. Fo IXF53. Gray lines indicate core genome sinteny.
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Figure 3. Identification of the core effectorome of F. oxysporum strains associated with vanilla rot roots. (A) Venn diagram of proteins with pathogenicity effector characteristics identified in each strain. It shows that the three strains share 339 proteins, which we consider the core effectorome. (B) Word cloud displaying the main categories observed within the annotation of the core effectorome.
Figure 3. Identification of the core effectorome of F. oxysporum strains associated with vanilla rot roots. (A) Venn diagram of proteins with pathogenicity effector characteristics identified in each strain. It shows that the three strains share 339 proteins, which we consider the core effectorome. (B) Word cloud displaying the main categories observed within the annotation of the core effectorome.
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Figure 4. Phylogenetic and analysis of conserved motifs of pathogenicity-associated effectors. (A) Phylogenetic tree of the 13 pathogenicity-associated proteins identified in the Fov IXF41 strain (black terminal) and Fov IXF50 strain (blue terminal), as well as the protein shared between both strains (green terminal). (B) Analysis of conserved motifs in the 13 pathogenicity-associated proteins identified in the two strains of F. oxysporum f. sp. vanillae.
Figure 4. Phylogenetic and analysis of conserved motifs of pathogenicity-associated effectors. (A) Phylogenetic tree of the 13 pathogenicity-associated proteins identified in the Fov IXF41 strain (black terminal) and Fov IXF50 strain (blue terminal), as well as the protein shared between both strains (green terminal). (B) Analysis of conserved motifs in the 13 pathogenicity-associated proteins identified in the two strains of F. oxysporum f. sp. vanillae.
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Figure 5. Predicted 3D structure of the eight pathogenicity-associated effector proteins exclusive to the highly virulent Fov IXF41 strain. The confidence value of the predicted structure is displayed according to a color-coded scheme.
Figure 5. Predicted 3D structure of the eight pathogenicity-associated effector proteins exclusive to the highly virulent Fov IXF41 strain. The confidence value of the predicted structure is displayed according to a color-coded scheme.
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Figure 6. Number of cis-regulatory elements in the promoter regions of the 13 pathogenicity-associated effector proteins identified in the two strains of F. oxysporum f. sp. vanillae.
Figure 6. Number of cis-regulatory elements in the promoter regions of the 13 pathogenicity-associated effector proteins identified in the two strains of F. oxysporum f. sp. vanillae.
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Table 1. Predicted biochemical characteristics of putative pathogenicity effector proteins in two strains of F. oxysporum f. sp. vanilla.
Table 1. Predicted biochemical characteristics of putative pathogenicity effector proteins in two strains of F. oxysporum f. sp. vanilla.
Proteinaa 1MW 2pI 3II 4AI 5GRAVY 6Effector Type 7
Fov_IXF41_031034328.1.125727,552.257.9435.5067.90−0.342Cytoplasmic
Fov_IXF41_031032351.1.132734,886.485.2941.1752.02−0.633Cytoplasmic
Fov_IXF41_031037648.1.132435,352.665.9225.6988.43−0.186Apoplastic
Fov_IXF41_031043252.1.137840,439.839.0145.8549.92−0.683Cytoplasmic
Fov_IXF41_031037941.1.113414,782.069.2443.9463.36−0.265Cytoplasmic
Fov_IXF41_031038191.1.127729,170.014.7047.7452.53−0.482Apoplastic
Fov_IXF41_031039331.1.125827,552.765.5450.0854.11−0.795Cytoplasmic
Fov_IXF41_031029357.1.132035,667.715.3922.4269.78−0.707Cytoplasmic
Fov_IXF41_031029754.1.114716,372.576.3151.7783.40−0.418Cytoplasmic
Fov_IXF50_031028644.1.1889924.116.4432.2142.05−1.034Cytoplasmic
Fov_IXF50_031030885.1.130733,405.006.3123.3179.48−0.171Apoplastic
Fov_IXF50_031030873.1.115918,385.148.7730.3930.63−1.597Cytoplasmic
Fov_IXF50_031039538.1.119126,121.299.8642.7798.640.468Apoplastic
1 Number of amino acids; 2 molecular weight in g mol−1; 3 isoelectric point; 4 instability index; 5 aliphatic index; 6 grand average of hydropathicity; 7 according to EffectorP 3.0.
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Flores-de la Rosa, F.R.; Matilde-Hernández, C.; González-Oviedo, N.A.; Estrella-Maldonado, H.J.; Saucedo-Picazo, L.E.; Santillán-Mendoza, R. In Silico Identification of Pathogenicity Effectors on Fusarium oxysporum f. sp. vanillae. BioTech 2025, 14, 50. https://doi.org/10.3390/biotech14030050

AMA Style

Flores-de la Rosa FR, Matilde-Hernández C, González-Oviedo NA, Estrella-Maldonado HJ, Saucedo-Picazo LE, Santillán-Mendoza R. In Silico Identification of Pathogenicity Effectors on Fusarium oxysporum f. sp. vanillae. BioTech. 2025; 14(3):50. https://doi.org/10.3390/biotech14030050

Chicago/Turabian Style

Flores-de la Rosa, Felipe Roberto, Cristian Matilde-Hernández, Nelly Abigail González-Oviedo, Humberto José Estrella-Maldonado, Liliana Eunice Saucedo-Picazo, and Ricardo Santillán-Mendoza. 2025. "In Silico Identification of Pathogenicity Effectors on Fusarium oxysporum f. sp. vanillae" BioTech 14, no. 3: 50. https://doi.org/10.3390/biotech14030050

APA Style

Flores-de la Rosa, F. R., Matilde-Hernández, C., González-Oviedo, N. A., Estrella-Maldonado, H. J., Saucedo-Picazo, L. E., & Santillán-Mendoza, R. (2025). In Silico Identification of Pathogenicity Effectors on Fusarium oxysporum f. sp. vanillae. BioTech, 14(3), 50. https://doi.org/10.3390/biotech14030050

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