Progress report for GNE24-319
Project Information
Stemphylium leaf blight (SLB), caused by the fungus Stemphylium vesicarium, is one of the most important foliar diseases affecting onions (Allium cepa L.) in the northeastern United States. Infested transplants and volunteers (plants regrowing from onion bulbs left in the field the previous season), may play an important role in SLB epidemics serving as primary inoculum. However, the lack of knowledge surrounding the relative contributions of primary inoculum sources for SLB epidemics is a significant knowledge gap to the design of integrated management practices. In this study, 537 S. vesicarium isolates were obtained during 2022 and 2023 from infected transplants and volunteers, and symptomatic main crop plants collected at mid- and late season. To evaluate the relative contributions of infected transplants and volunteers to S. vesicarium populations in NY, nine simple sequence repeat markers were used to characterize the genetic diversity and structure of populations by source and year. A total of 399 multilocus genotypes (MLGs) were identified, of which 27 MLGs were shared among two or more source populations and 28 MLGs shared between year populations. Structure analysis showed that populations from transplants were distinct from volunteers and main crop plants collected at mid- and late season with low admixture. Populations had high genotypic diversity and genetic differentiation also suggesting a minimal contribution of infected transplants to the NY' S. vesicarium populations. The dominance of MLGs from volunteers to main crop populations suggests the elimination of volunteers should be included in integrated disease management strategies. Crop rotation and hygiene practices to remove and destroy volunteer onions after harvest may be key to reducing the primary inoculum for SLB epidemics. The outcomes of this project are being communicated through various platforms and formats to effectively engage stakeholders and growers throughout NY.
- Objective: To determine the genetic diversity within and among S. vesicarium populations collected from infested transplants and volunteers at the beginning of the season and field populations collected at the end of the season.
1.1 Hypothesis: S. vesicarium populations from infested transplants and volunteers have high genetic diversity but similar frequencies of alleles among populations and share the same genotypes.
- Objective: To determine the population structure of S. vesicarium in NY onion fields according to source and year of origin.
2.1 Hypothesis: There are no distinct patterns or clusters of genotypes among the S. vesicarium populations indicating that populations are part of one interbreeding and genetically uniform population.
The purpose of this project was to determine the contribution of different sources of inoculum such as Stemphylium vesicarium-infested transplants and volunteers to Stemphylium leaf blight (SLB) epidemics in New York onion fields. Understanding the relative contributions of inoculum sources can help us to better target the intervention points and select integrated disease management strategies that either reduce the initial inoculum or the rate of the disease progress. These findings can underpin the design of durable management strategies for SLB making onion production more profitable and sustainable in NY.
SLB is one of the most devastating foliar diseases affecting onions in the northeastern United States, caused by the fungus S. vesicarium (Wallr.) E.G. Simmons (Sharma and Sharma 1999). SLB has been reported on onion in more than 20 countries and has recently become a re-emerging disease in the northeastern U.S. (Hay et al. 2021). The economic impact of SLB on NY onion production is substantial including crops with ≥74% premature plant death. SLB epidemics can cause significant yield losses of up to 90% in onion crops due to premature defoliation, resulting in smaller bulbs (Lorbeer 1993; Miller et al. 1978; Tomaz and Lima 1986). The substantial environmental impact of SLB on NY onion production reflects suboptimal foliar disease management, with environmental consequences. There are currently no commercial cultivars of onion that are resistant to SLB or most other foliar diseases, and management is based on intensive fungicide programs of 6-10 applications per season. Fungicides are organized into groups by the Fungicide Resistance Action Committee (FRAC) based on their mode of action (MOA). Fungicides in FRAC groups 2, 3, 7, 9 and 11 were previously efficacious for SLB control. However, owing to the single-site MOA of most of these fungicides, there is a high risk of development of fungicide resistance within targeted pathogen populations. The social implications of SLB include increased production costs, reduced profitability, and instability in the resiliency of regional food systems. The inability to control SLB may catalyze rotation to crops with less profitable returns. Beyond the farm, this negatively impacts upon the buoyancy of rural communities. In some cases, growers with substantial investments in onion grading and packing infrastructure are reluctant to rotate crops and incur yield losses.
SLB spread results from the profuse production of S. vesicarium conidia and rapid dispersal of secondary inoculum within fields and neighboring crops (Hay et al. 2022). Multiple sources of S. vesicarium inoculum have been proposed to affect SLB epidemics including crop residue, infested seeds, volunteers, weeds and crops acting as alternative hosts, and transplants (Hay et al. 2021). We hypothesize that SLB epidemics may start with the introduction of the pathogen via infested transplants, which are predominantly provided as bare root and come from the southwestern United States (Leach et al. 2018). However, no studies have examined the impact of these transplants on SLB epidemic initiation or the population genetics of S. vesicarium. Volunteers may also play an important role in the dissemination of the pathogen as remaining diseased plants may serve as primary inoculum for the current cropping and neighboring fields.
In this study, we proposed to evaluate the potential contribution of transplants and volunteers to the population genetics of S. vesicarium populations in NY, using nine microsatellite markers developed in the Pethybridge Lab (Heck et al. 2023). Microsatellites are PCR-based markers commonly used to detect genetic variation among individuals and are an excellent tool to address epidemiological questions related to sources of inoculum. Genetic markers can help us track DNA fingerprints in different sources of inoculum and compare those with populations during epidemics in commercial fields. The genotypic diversity of S. vesicarium isolates from infested volunteers and transplants were compared with the genotypic diversity of isolates collected prior to harvest at the end of the season. Population biology studies involving indirect estimates of migration such as population structure (genetic differentiation) can also help us to understand the pattern of genetic variation within and among populations (Milgroom 2015). In this study, index FST and minimum spanning networks were used to depict the population structure of S. vesicarium from NY onion crops. The study was conducted with isolates collected in 2022 and 2023. This information facilitated insights into the gene flow among populations and determine whether infested transplants or volunteers were significant sources of genetic diversity. Findings from this study enhanced the understanding of how SLB epidemics are initiated and how S. vesicarium is dispersed between cropping seasons and among fields in NY.
Cooperators
- (Educator)
Research
Note: Portions of this section have been adapted from our scientific article published on the American Phytopathological Society (APS) journal 'Phytopathology', in the areas of pathogen population biology and epidemiology: Piñeros-Guerrero, N., Heck, D.W., Hay, F.S., and Pethybridge, S.J. 2025. Relative Contributions of Infected Transplants and Volunteers to the Population Biology of Stemphylium vesicarium in New York Onion Production. Phytopathology. https://doi.org/10.1094/PHYTO-06-25-0209-R
- To determine genetic diversity within and among S. vesicarium populations:
1.1. Sample collection. Isolates of S. vesicarium obtained in 2022 and 2023 from onion leaf samples showing SLB symptoms prior to lodging, volunteers, and transplants were used in this study. These isolates are part of the permanent collection of more than 3,500 S. vesicarium isolates in the EVADE lab at Cornell AgriTech. Pathogen isolation was performed following a modified protocol described by Hay et al. (2019). Leaf lesions were examined to confirm the production of S. vesicarium conidia with a stereo microscope. Subsequently, 15 μL of 0.01% (v/v) Tween 20 (Sigma-Aldrich, St. Louis, MO) in sterilized distilled water were placed onto a sporulating lesion with the aid of a micropipette. The conidial suspension was then drawn from the sporulating lesion, placed onto 2 % water agar (WA; Hardy Diagnostics, Santa Maria, CA) amended with ampicillin (25 mg/L) (Fisher Scientific, Pittsburgh, PA) and spread by sloping the plate. After 5 h, germinating conidia were transferred as single spore cultures onto new Petri plates containing V8 juice agar amended with streptomycin (200 mg/liter). Finally, the monoconidial isolates were incubated at room temperature (25 ± 2°C) under conditions of 12 h light/dark cycle for 7 days. Pathogen confirmation was initially based on the morphology of conidia and fungal structures observed under a light microscope (40×; Miller and Schwartz 2008). For long-term preservation, single-conidial isolates were grown on synthetic low-nutrient agar (SNA) (Gerlach and Nirenberg 1982) and then agar plugs colonized with mycelia were placed in 1.5-mL tubes (Fisher Scientific, Pittsburgh, PA) containing sterile distilled water and kept at room temperature (25 ± 2°C) (Castellani 1963). Monoconidial isolates were also preserved in glycerol 30% and stored at -78ºC (± 2 ºC) (Heckly 1978).
1.2. DNA extraction. Isolates were retrieved from long-term storage and grown on Petri plates containing V8 juice agar amended with streptomycin (200 mg/L) to produce mycelia. Plates were incubated at room temperature (25 ± 2°C) under conditions of 12 h light/dark cycle for 7 days. Mycelia was harvested by scraping the agar surface with a sterile scalpel and transferred into sterile foil to be dried overnight. Dried mycelia was used subsequently for DNA extraction protocols. Genomic DNA was extracted with the Wizard Extraction Kit (Promega Corp, Madison, WI) following the manufacturer’s recommendations. The specific primers KES1999 and KES2000, previously designed by Graf et al. (2015), were used to corroborate the identity of the S. vesicarium isolates used in this study. Sequencing was performed at Cornell University, Institute of Biotechnology, Genomic Diversity Facility.
1.3. Microsatellites data. For the population genetics study, nine microsatellite markers developed by Heck et al. (2023; from Pethybridge Lab) were used to characterize the genotypic diversity of the S. vesicarium populations collected in 2022 and 2023. Originally, Heck et al. (2023) tested 26 microsatellite markers on a subset of six S. vesicarium isolates collected from NY onion fields in 2016 and 2018 and amplified regions were sequenced to confirm the presence of the repeat motif of interest. Subsequently, a final set of nine microsatellites were selected, and primers were prepared with fluorescent dyes for polymorphism screening and multiplexing (Heck et al. 2023). In the present study, alleles at each of the nine microsatellite loci were amplified from each monoconidial isolate using the primer sets designed by Heck et al. (2023; Table 1). Polymerase Chain Reaction (PCR) amplifications were carried out in a C1000 Touch TM Thermal Cycler (Bio-Rad, Hercules, CA) using the nine primer sets, the genomic DNA obtained as previously described, and the Multiplex Master mix (Bioline, London, United Kingdom) in accordance with the manufacturer’s recommendations in a final PCR reaction volume of 12.5 μL. The PCR conditions included an initial denaturation for 5 min at 95ºC, followed by 35 cycles of denaturation at 95ºC for 30 s, annealing at 57ºC for 30 s, an extension at 68ºC for 30 s, and a final extension at 68ºC for 5 min (Heck et al. 2023). PCR products were sent for fragment analysis at the Cornell University, Institute of Biotechnology, Genomic Diversity Facility, using a GeneScan-500 LIZ size standard (Applied Biosystems). Chromatograms were analyzed using Geneious Prime 2022.0.1 with the Microsatellite 1.4.7 plugin (Kearse et al. 2012). For the chromatogram analysis, up to 5% of missing data was allowed per locus. To verify data reproducibility, PCR assays and fragment analysis were replicated for 15% of the isolates (n= 81). A reproducibility rate of 0.992 was depicted with 12 mismatches (8 mismatches and 4 missing peaks).
1.4. Genetic diversity analysis. S. vesicarium isolates were grouped into four source (transplants, volunteers, symptomatic main crop onion plants collected at mid- and late season) and two year (2022 and 2023) populations and analyzed separately. To study the gene diversity of the populations, the number of alleles (Na), Simpson index (1-D), Nei’s allelic diversity index (Hexp; Nei 1978), and evenness (E5; Ludwig and Reynolds 1988) were calculated for each locus using the locus_table function in the poppr package v. 2.9.3 (Kamvar et al. 2014). A genotype accumulation curve was constructed by randomly sampling each locus 1,000 times using the genotype_curve function in the poppr package. The number of individuals (N), multilocus genotypes (MLGs), expected number of MLGs (eMLGs), and Nei’s allelic diversity index (Hexp) were determined for each of the source and year populations using the poppr function in the poppr package (Kamvar et al. 2014). eMLGs were used to compare genotypic richness among populations due to unequal sample sizes. eMLGs were estimated at the smallest sample size for source (n = 60) and year (n = 217) populations using the rarefaction method (Grünwald et al. 2003). The genotypic diversity indices of Shannon-Wiener (H’; Shannon 1948), Stoddart and Taylor’s (G’; Stoddart and Taylor 1988), Simpson (λ; Simpson 1949), and evenness (E5) were also calculated for each source and year population using the diversity_ci function in the poppr package with argument ‘rarefy= TRUE’ to correct for populations with unequal sample sizes with R software (R Core Team 2024).
1.5. Linkage disequilibrium and recombination. Clonal fraction was calculated as 1 - (MLG/N; where N = number of individuals per population) to define the proportion of isolates in a population potentially originating from asexual reproduction and/or self-fertilization (Zhan et al. 2003). To test for linkage disequilibrium and potential recombination in the populations, the index of association (IA) and the standardized index of association (r̄d) were estimated with 999 permutations using the ia function in the poppr package in R studio. Probability values < 0.001 indicate deviation from the null hypothesis of linkage equilibrium. IA and r̄d were estimated using clone-corrected data to select one representative isolate per MLG within each of the populations.
- To determine the population structure of S. vesicarium in NY onion fields.
2.1. Population structure and genetic differentiation. To examine the structure of the S. vesicarium populations, three complementary approaches were used: (i) a minimum spanning network (MSN) constructed by source to visualize relationships among individuals, (ii) discriminant analysis of principal components (DAPC) using source and year populations, and (iii) STRUCTURE analysis to determine admixture within S. vesicarium populations stratified by source and year. The MSN was generated based on Bruvo’s genetic distance using the bruvo.msn function from the poppr package (Bruvo et al. 2004). DAPC was conducted on non-clone corrected datasets using the dapc function in the adegenet package (Jombart 2008) with the optimal number of principal components determined through a cross-validation analysis using the xvalDapc function in R studio. A complementary Bayesian model-based clustering analysis was conducted on the MLG data using STRUCTURE v. 2.3.4 (Pritchard et al. 2000). Ten independent runs per K value (K = 1 to 20) with a 100,000 burn-in period followed by 100,000 Monte Carlo Markov chain iterations, were performed using an admixture model. Onion plant material source and sampling year were used as priori population information with the parameter LOCPRIOR. The optimal K value that provided the best fit to this data was identified using STRUCTURE SELECTOR (Li and Liu 2018), based on the ΔK statistic (Evanno et al. 2005). Visualization of STRUCTURE bar plots were also performed using STRUCTURE SELECTOR.
To evaluate genetic differentiation among source and year populations, an Analysis of Molecular Variance (AMOVA) was performed on clone-corrected datasets using the poppr.amova function in poppr. Significance of population differentiation (P < 0.05) was evaluated with a Monte Carlo randomization test (Excoffier et al. 1992) based on 1,000 permutations with the rand.test function in the ade4 package (Dray and Dufour 2007). Pairwise fixation index (FST) values (Whitlock 2011; Wright 1965) were also calculated using clone-corrected datasets for the individual source and year populations using the Weir and Cockerham (1984) method with the stAMPP package v1.6.3 in R studio (Pembleton et al. 2013). Significance was quantified with 1,000 bootstrap iterations using the stamppFst function in StAMPP package, with a null hypothesis of no genetic differentiation among populations. The FST index varies between 0 (no genetic differentiation) and 1 (complete genetic differentiation) between populations (Hartl and Clark 1997; Wright 1965).
Note: This section has been adapted from our scientific article published on the American Phytopathological Society (APS) journal 'Phytopathology', in the areas of pathogen population biology and epidemiology: Piñeros-Guerrero, N., Heck, D.W., Hay, F.S., and Pethybridge, S.J. 2025. Relative Contributions of Infected Transplants and Volunteers to the Population Biology of Stemphylium vesicarium in New York Onion Production. Phytopathology. https://doi.org/10.1094/PHYTO-06-25-0209-R
Results
- To determine genetic diversity within and among S. vesicarium populations:
Sample collection. Bare root transplants from each of the onion cultivars collected in 2022 (SV4643NT, Crockett, Cartier, Claudius, Oneida, Safrane, Delgado, and Hamilton) and 2023 (Cartier, Safrane, and Hamilton) were infected with S. vesicariumprior to planting, with incidences ranging from 11.2 to 100% and 97.8 to 100% in 2022 and 2023, respectively (Supplementary Fig. S1). S. vesicarium isolates were obtained from infected transplants (n = 162), volunteers (n = 95), and symptomatic onion plants from the main crops at mid- (n = 60) and late season (n = 220), resulting in 537 S. vesicarium isolates in 2022 (n = 217) and 2023 (n = 320). All isolates were identified as S. vesicarium by species-specific PCR (data not shown).
Gene diversity. Nei’s gene diversity (He) ranged from 0.636 (SvSSR_19) to 0.958 (SvSSR_09) with an average of 0.775 (Table 1). The locus SvSSR_09 had the highest number of alleles (Na = 61), and the highest Simpson index (0.957) and Nei’s gene diversity (0.958; Table 1). The locus SvSSR_15 had the lowest number of alleles (Na = 4) with a Nei’s gene diversity value of 0.666. Evenness (E5) ranged from 0.541 to 0.892 in the SvSSR_26 and SvSSR_15 loci, respectively (Table 1).
Table 1. Locus summary statistics for nine microsatellites markers in Stemphylium vesicarium populations from New York onion fields in 2022 and 2023.
|
Locus |
Naa |
1 - Db |
Hexpc |
E5d |
|
SvSSR_09 |
61 |
0.957 |
0.958 |
0.695 |
|
SvSSR_19 |
14 |
0.635 |
0.636 |
0.571 |
|
SvSSR_15 |
4 |
0.665 |
0.666 |
0.892 |
|
SvSSR_20 |
14 |
0.794 |
0.795 |
0.662 |
|
SvSSR_23 |
16 |
0.760 |
0.761 |
0.611 |
|
SvSSR_21 |
19 |
0.836 |
0.838 |
0.707 |
|
SvSSR_13 |
8 |
0.642 |
0.643 |
0.678 |
|
SvSSR_03 |
15 |
0.803 |
0.804 |
0.771 |
|
SvSSR_26 |
29 |
0.868 |
0.869 |
0.541 |
|
Mean |
20 |
0.773 |
0.775 |
0.681 |
|
a Mean number of alleles per locus. b Simpson (1949) diversity index. c Nei (1978) gene diversity. d Evenness after rarefaction. |
||||
Genotypic diversity. The genotypic accumulation curve (Supplementary Fig. S2) showed a plateau with nine loci demonstrating these were sufficient to distinguish between individuals in these populations. Multiple alleles were found at each of the nine loci resulting in 399 MLGs from the 537 individuals (Tables 1 and 2). The number of MLGs in source populations ranged from 57 in main crop plants at mid-season to 156 in transplants. However, when comparing the genotype richness (eMLG) among source populations, the lowest was observed in the population from volunteer onions (eMLG = 42.9) while populations from main crop plants collected at mid-season had a higher genotype richness (eMLG = 57.0; Table 2). The population from volunteer onions also showed the lowest genotypic diversity based on the Shannon-Wiener (H’ = 3.587), Stoddart and Taylor’s (G’ = 28.4), and Simpson (λ = 0.964) indices (Table 2). The population from transplants had the highest genotype richness (eMLG = 59.1) and highest genotypic diversity indicated by the H’ (4.072), G’ (58.134), and λ (0.983) indices (Table 2). The highest Nei’s gene diversity was also observed in the population from transplants (Hexp = 0.747). In addition, evenness values for the population from transplants (E5 = 0.990) indicated that MLGs were more evenly distributed than volunteers (E5 = 0.775) and main crop plants at mid- and late season (E5 = 0.887 and 0.974, respectively; Table 2). The genotypic diversity indices were lower in 2022 (H’ = 4.887, G’ = 87.040, λ = 0.986) than the 2023 (H’ = 5.134, G’ = 146.025, λ = 0.993) populations (Table 2). Populations collected in 2023 also had MLGs more evenly distributed (E5 = 0.859) than those from 2022 (E5 = 0.654; Table 2).
Table 2. Genetic diversity indices, clonal fraction, and indices of association for source and year Stemphylium vesicarium populations from New York onion fields in 2022 and 2023.
|
Populations |
Na |
MLGb |
eMLGc |
SEd |
H’e |
G’f |
λg |
Eh |
Hexpi |
Clonal fractionj |
IAk |
r̄dm |
|
Source |
||||||||||||
|
Transplants |
162 |
156 |
59.1 |
0.879 |
4.072 |
58.134 |
0.983 |
0.990 |
0.747 |
0.037 |
0.241* |
0.031* |
|
Volunteers |
95 |
62 |
42.9 |
2.241 |
3.587 |
28.400 |
0.964 |
0.775 |
0.684 |
0.347 |
0.438* |
0.058* |
|
Main crop plants (mid-season) |
60 |
57 |
57.0 |
0 |
4.025 |
54.545 |
0.982 |
0.887 |
0.713 |
0.050 |
0.430* |
0.056* |
|
Main crop plants (late season) |
220 |
155 |
50.5 |
2.620 |
3.845 |
41.866 |
0.976 |
0.974 |
0.662 |
0.295 |
0.372* |
0.048* |
|
Overall |
537 |
399 |
55.1 |
2.171 |
3.970 |
50.064 |
0.980 |
0.940 |
0.775 |
0.257 |
0.591* |
0.077* |
|
Year |
||||||||||||
|
2022 |
217 |
165 |
165.0 |
0 |
4.887 |
87.040 |
0.986 |
0.654 |
0.777 |
0.240 |
0.559* |
0.073* |
|
2023 |
320 |
262 |
185.29 |
3.381 |
5.134 |
146.025 |
0.993 |
0.859 |
0.771 |
0.181 |
0.604* |
0.080* |
|
Overall |
537 |
399 |
177.8 |
4.750 |
5.051 |
124.170 |
0.992 |
0.791 |
0.775 |
0.257 |
0.593* |
0.078* |
a Number of individuals per population. b Number of multilocus genotypes. c Number of expected MLG after rarefaction. d Standard error for the rarefaction analysis. e Rarefied estimates of the Shannon-Wiener’s diversity index. f Rarefied estimates of Stoddart and Taylor (1988) genotypic diversity index. g Rarefied estimates of Simpson (1949) genotypic diversity index. h Rarefied estimates of Evenness. i Nei’s unbiased gene diversity (Nei 1978). j Clonal fraction calculated as (1-(MLG/N)). k Index of association. * indicates significance at P < 0.001. m Standardized Index of Association. * indicates significance at P < 0.001. |
||||||||||||
Clonal reproduction and linkage disequilibrium. Clonality levels within source populations varied between 0.037 to 0.347 with an average of 0.257. Populations from transplants and main crop plants collected at mid-season had the lowest clonal fractions (0.037 and 0.05, respectively), while those from volunteers had the highest clonality fraction (0.347). Populations from main crop plants collected at late season samplings had a higher clonal fraction (0.295) than those at mid-season (0.05; Table 2). A higher clonal fraction was observed in populations from 2022 (0.24) than 2023 (0.181). The index of association (IA) and the standardized index of association (r̄d) were significant (P < 0.001) for all S. vesicarium populations by source and year supporting deviation from the null hypothesis of linkage equilibrium (Table 2).
2. To determine the population structure of S. vesicarium in NY onion fields.
Population structure and genetic differentiation. The MSN based on Bruvo's distance clearly depicted an association between MLGs from volunteers and those collected from the main crop at mid- and late season with 20 MLGs shared among these populations (Fig. 1). The most frequent MLG (MLG.384) had 15 clonal individuals in S. vesicariumpopulations from volunteers (n = 10) and main crop plants at the late season sampling (n = 5; Fig. 1). The second most frequent MLG (MLG.325), with 13 clonal individuals, was also in S. vesicarium populations from volunteers (n = 3) and main crop plants collected at late season (n = 10). The MSN also showed that populations from transplants formed a distinct cluster containing most individuals in the same unique branch (Fig. 1). Populations of S. vesicarium from transplants only shared two of 156 MLGs (MLG.291 and MLG.385) with populations from the main crop plants at the late season sampling (Fig. 1). A few individuals from transplants were closely related to individuals from volunteers and main crop plants (Fig. 1). Only one MLG (MLG.167) was shared between S. vesicarium populations from transplants in 2022 and 2023 (Supplementary Fig. S3). Most of the MLGs (372 MLGs, 93.2%), were unique to a specific population, and only 27 MLGs (6.8%) were shared among two or more source populations (Fig. 1). According to year, 28 MLGs were shared between populations with MLG.384 being the most frequent (n = 13 and 2 in 2022 and 2023, respectively) and MLG.325 (n = 6 and 7 in 2022 and 2023, respectively; Supplementary Fig. S3).
AMOVA analysis with clone-corrected datasets detected significant genetic differentiation among S. vesicariumsource populations (Φ = 0.129, P = 0.001), with most of the genetic variation (87.1%) attributed within populations and 12.9% between populations (Table 3). AMOVA also detected significant genetic differentiation between populations according to year (Φ = 0.004, P = 0.012), with most of the genetic variation (99.6%) from within populations and only 0.42% between years (Table 3). Significant probability values (P < 0.05) rejected the null hypothesis of random mating between populations suggesting significant differentiation (Table 3).
Table 3. Analysis of molecular variance using clone corrected datasets of Stemphylium vesicarium populations from infected transplants, volunteers, and main crop plants in 2022 and 2023 from New York onion fields.
|
Variation |
df |
Sum of squares |
Mean of square |
Variation (%) |
P valuea |
|
Source populations (Φ = 0.129)b |
|||||
|
Between populations |
3 |
309.69 |
103.23 |
12.86 |
0.001* |
|
Within populations |
426 |
2778.22 |
6.52 |
87.13 |
|
|
Total |
429 |
3087.91 |
7.20 |
100 |
|
|
Year populations (Φ = 0.004)b |
|||||
|
Between populations |
1 |
13.38 |
13.38 |
0.42 |
0.012* |
|
Within populations |
425 |
3055.21 |
7.19 |
99.58 |
|
|
Total |
426 |
3068.59 |
7.20 |
100 |
|
|
a Estimated based on 1,000 randomizations using a monte-carlo test. Significant values are indicated with an asterisk. b Ф-statistic values. |
|||||
Pairwise genetic differentiation analyses (FST) confirmed the significant differentiation detected by AMOVA for source, but not for year populations. The FST values supported significant differentiation of S. vesicarium populations from transplants and volunteers (FST = 0.156, P < 0.01; Fig. 2). The high FST values between populations from transplants and the main crop at mid- (FST = 0.161) and late (FST = 0.182) season samplings revealed significant genetic differentiation (P < 0.01; Fig. 2). Moreover, low FST values between populations from volunteers and main crop plants from mid- (FST = 0.008, P = 0.146) and late season (FST = -0.0094, P = 0.999) samplings suggested no genetic differentiation between these populations (Fig. 2). A low FST value (-0.0008, P = 0.734) between 2022 and 2023 populations suggested no genetic differentiation. Although the AMOVA significance test determined populations to be significantly different by year, this analysis still attributed 99.6% of the total variation to variability within populations and only 0.42% to differences between populations (Table 3). When pairwise comparisons were performed by a combination of source and year populations (Supplementary Fig. S4), a low FST value (-0.0114, P = 0.999) between populations from transplants in 2022 and 2023 suggested no genetic differentiation. Similarly, a low FST value (-0.0475, P = 0.999) suggested that populations from volunteers between years were not significantly differentiated (Supplementary Fig. S4).
DAPC analyses of non-clone-corrected datasets using populations stratified by source (Fig. 3A) and year (Fig. 3B) also confirmed the AMOVA results for source but not year. S. vesicarium MLGs from volunteers and main crop plants from both samplings were aggregated in the scatter plot (Fig. 3A). The ellipses for the three clusters, showing the variability within each cluster, were mostly overlapped, demonstrating genetic similarity among MLGs within these populations (Fig. 3A). In contrast, MLGs of the population from transplants clustered together but were separated by vertical axis 2 from the other three populations, suggesting that MLGs from transplant populations were genetically distinct (Fig. 3A). When MLGs were clustered by combinations of source and year populations, those from transplants in both years overlapped (Supplementary Fig. S5A and S5B). DAPC density plots showed that populations from 2022 and 2023 were mostly overlapped, suggesting no genetic differentiation between these populations (Fig. 3B).
The STRUCTURE analysis predicted K = 2 as the optimal number of genetic clusters for both source and year populations (Supplementary Fig. S6A and S6B). According to source populations, STRUCTURE bar plots indicated low admixture across the populations, where most isolates from transplants presented a substantial ancestral contribution from the pink cluster (Fig. 4A). In contrast, most isolates from the other sources showed a substantial ancestral contribution from another cluster depicted by yellow (Fig. 4A). No distinct admixture patterns were observed in the STRUCTURE bar plots when analyzed by year (Fig. 4B). A combined analysis by source and year supported these results (Supplementary Fig. S7A and S7B).
Pineros_Supplementary Figures_First_look
Discussion
This study investigated the relative contributions of potential primary inoculum sources, infected transplants and volunteers, to SLB epidemics in NY onion fields. High levels of genetic diversity and clonal reproduction within S. vesicarium populations were depicted when populations were stratified by source and year. High levels of genetic differentiation were only observed among source populations but not between populations according to year.
Genotypic diversity analyses identified 399 distinct MLGs (74.3%) within 537 isolates, with the majority of MLGs (88.7%) represented by a single isolate, indicating high genotypic richness. According to source population, the highest genotypic richness, estimated by eMLGs, was found in populations from transplants, which also had high levels of genotypic diversity but low clonal fraction. The high levels of genotypic diversity observed in transplant populations might be attributed to differences in integrated disease management strategies, fungicide resistance, sampling timing, or sources of inoculum present in the region where transplants have been grown. Moreover, populations from main crop plants collected at mid-season in NY also showed high levels of genotypic richness. These findings were consistent with previous studies conducted by Heck et al. (2023) and Subedi et al. (2025), where S. vesicarium populations from NY onion fields were highly diverse showing high genotypic richness, with MLGs values of 96.2% (Heck et al. 2023) and 75% (Subedi et al. 2025). Chandel et al. (2024) and Hassan et al. (2021) reported similar results for S. vesicarium populations from onions in India using random amplified polymorphic DNA primers, depicting high levels of polymorphism among isolates.
All S. vesicarium populations were predominantly clonal which significantly deviated from the null hypothesis of linkage equilibrium. Despite the suggestion of clonal reproduction in all populations, according to IA and r̄d, the clonal fraction was low in populations from transplants (0.037) and main crop plants collected at mid-season (0.05). Taken together, considering the high genotypic diversity and low clonal fraction for some populations, we hypothesize that S. vesicarium populations may not be entirely reproducing clonally and that recombination might still contribute to the lifecycle. The genus Stemphylium is comprised of both self-sterile (heterothallic) and self-fertile (homothallic) species (Inderbitzin et al. 2005). Heterothallic Stemphylium spp. means isolates contain one of two mating types, either MAT1-1or MAT1-2, in their MAT locus, while homothallic species contain a fusion of the two regions in the same genome (Debuchy and Turgeon 2006; Inderbitzin et al. 2005). However, self-fertile isolates of Stemphylium spp. carrying only the MAT1-1 gene have also been characterized (Inderbitzin et al. 2005). Sharma et al. (2020) found a single copy of both genes MAT1-1 and MAT1-2 fused in reverse orientation in two S. vesicarium isolates from NY onion fields suggesting homothallism. This mechanism allows an individual to not only produce offspring through outcrossing but also from haploid selfing or syngamy with genetically identical haploid cells (Billiard et al. 2012; Debuchy and Turgeon 2006). As a result, homothallic fungi often exhibit a population structure that resembles those of exclusively asexual or clonal reproduction, evidenced by strong linkage disequilibrium, even if sexual reproduction (haploid selfing) occurs (Billiard et al. 2012; Ekins et al. 2006). Moreover, the differences in clonality and genotypic diversity between populations from transplants and main crop plants at mid-season when compared to late season and volunteers, could have been influenced by sampling timing. Our results may also be biased towards clonal populations as sampling was conducted towards the end of the cropping season and late winter when asexual propagation was likely dominant (Hay et al. 2021, 2022). Selective pressure might favor the most well-adapted strains and potentially reduce overall diversity with each asexual cycle or clonal generation as the season progresses. These results were expected as S. vesicarium dispersal within the same cropping season relies on conidia dispersed by wind and rain (Hay et al. 2021), and insects including onion thrips (Thrips tabaci), generating multiple clonal generations (Leach et al. 2019). Significant linkage disequilibrium and highly diverse populations have also been observed in other studies including previous reports of S. vesicarium populations (Subedi et al. 2025) and other homothallic pathogens such as Sclerotinia sclerotiorum (Dunn et al. 2017; Lehner et al. 2017; Kamvar et al. 2017) and Stagonosporopsis citrulli (Brewer et al. 2015), where predominantly clonal populations also showed high genetic diversity.
Low genetic exchange was observed between populations from transplants and the other sources evidenced by the low admixture from the STRUCTURE analysis. In contrast, similar admixture patterns were observed between years suggesting ongoing gene flow over time. MSN and DAPC analyses clearly display a relationship between individuals from volunteers and those from main crop plants at either sampling, with multiple shared MLGs. However, S. vesicariumpopulations from transplants were clustered separately from the other source populations suggesting some genetic isolation. The genetic structure observed for source populations but not by year, aligns with previous temporal studies of S. vesicarium (Heck et al. 2023; Subedi et al. 2025). This finding supports the capacity of S. vesicarium to overwinter in crop residue, soil or volunteers (Hay et al. 2022; Van der Heyden et al. 2022). The high levels of genetic differentiation estimated by FST between the transplant population and remaining populations support the findings from the structure analysis. These findings suggest that S. vesicarium populations from transplants do not contribute to SLB epidemics in NY onion fields and they are not persisting throughout the cropping season. This may be attributed to differences in local disease management strategies, fungicide sensitivities, environmental factors conducive to infection and disease development, and competition for resources with locally adapted populations (Croll and McDonald 2017; Zhan et al. 2002). Further studies, especially those assessing differences in fungicide sensitivity profiles in these isolates, should be conducted to explore the factors influencing this finding. However, our results clearly support the lack of genetic differentiation among S. vesicarium isolates from volunteers and those obtained from main crop plants collected at mid- and late season samplings suggesting that inoculum may be perpetuated through survival on volunteers (Abdelrhim et al. 2024; Van der Heyden et al. 2022).
High genetic diversity within S. vesicarium populations combined with significant linkage disequilibrium, and low genetic differentiation among sources and between years, may be attributed to multiple factors other than recombination. These factors include high mutation rates, some gene flow or genetic exchange among populations, long-distance dispersal of ascospores, and the ability of the pathogen to overwinter on crop residue and infect alternative crop hosts (Gossen et al. 2021; Hay et al. 2019, 2022; Jaimes et al. 2016; McDonald et al. 2023).
Note: This section has been adapted from our scientific article published on the American Phytopathological Society (APS) journal 'Phytopathology', in the areas of pathogen population biology and epidemiology: Piñeros-Guerrero, N., Heck, D.W., Hay, F.S., and Pethybridge, S.J. 2025. Relative Contributions of Infected Transplants and Volunteers to the Population Biology of Stemphylium vesicarium in New York Onion Production. Phytopathology. https://doi.org/10.1094/PHYTO-06-25-0209-R
The results of this study indicate that transplants are only a minor contributor to the MLGs persisting to the end of the onion cropping season and suggest volunteers are likely a more important source of inoculum for SLB epidemics in NY fields. These findings serve to enhance our understanding of SLB epidemiology and the design of integrated disease management strategies. Controlling local inoculum sources such as crop residue, volunteer onions, alternative hosts, and weeds, may be the most influential strategy for SLB management in NY onion fields. The impact of inoculum persisting between seasons on local sources also highlights the importance of crop rotation for SLB management.
Education & outreach activities and participation summary
Participation summary:
The outreach initiatives for this project encompass various platforms and formats to effectively disseminate our findings and engage stakeholders and growers throughout NY:
- One factsheet was crafted addressing crucial onion production topics and highlighting our results.
- We have worked in collaboration with the CCE to communicate our results and design a strategic plan for SLB management integrating insights from our research. The CCE specialists are region-specific, and each one has established a dynamic extension program within their regions. We have worked in collaboration with the CCE extension specialist Christy Hoepting to deploy our findings through their dynamic extension networks. We facilitated discussion panels fostering two-way communication among stakeholders, growers, extension educators, and researchers and shared the outcomes of this research during the Elba Onion Grower’s Pre-Season Meeting on March 10th, 2025.
- A scientific article was published on the American Phytopathological Society (APS) journal 'Phytopathology', in the areas of pathogen population biology and epidemiology:
- We have been submitting the annual reports and will submit the comprehensive final report to Northeast SARE using the online Grant Management System.
- One webinar will be recorded and uploaded to the Cornel IPM YouTube channel sharing the project outcomes.
- We will be participating at the Oswego Muck Onion Growers Pre-Season Meeting on January 22nd, 2026. We will also present our work at the Empire State Producers Expo, organized each year by the NYS Vegetable Growers Association, on January 16th, 2026.