Update:
A description of relevant progress for principal and co-principal investigators is below for each objective and sub objective in our proposal. Our team has made tremendous progress in accomplishing our research goals, conducting field experiments, publishing refereed journal articles, and communicating our results to scientists and soybean producers. We are planning our next group meeting for the spring of 2024 to discuss current research progress and goals, and we are on track to continue our cutting-edge research in soybean cyst nematode biology, management, and breeding for novel resistance.
Objective 1: Identify SCN virulence genes to better understand how the nematode adapts to reproduce on resistant varieties.
Sub-objective 1.1: Combine, compare, and catalogue the genomes that compromise the SCN pan-genome. (Hudson, Baum, Mitchum)
In our latest report, the Baum lab produced improved gene annotations for the nine SCN genomes, leveraging the expanded TN10 transcriptome readily available to us. However, given the computational nature of these predictions, errors were abundant among the nine's annotations. To obtain a more comprehensive genetic overview of SCN and its genic content, we embarked on a program of manual annotation using WebApollo with the TN10 genome. Currently, we are nearing completion, with approximately 75% (85.7Mb/115Mb) of the genome manually annotated, resulting in the curation of 12,888 genes. Through manual annotation, we identified the limitations of current gene prediction software in the context of SCN gene prediction. SCN defies conventional splicing norms, with 20-30% of splice sites being non-canonical, while massive, highly similar gene families introduce challenges in RNA-seq mapping. Predictors also struggle with operons, and frequently search too far for start and stop codons in this compact genome. While about 50% of the TN10 genome’s computational annotation was not necessary to modify, many erroneous transcript models were eliminated. Upon completion of the TN10 manual gene annotation, we will use these nearly perfect gene annotations to enhance the annotations of the remaining eight genomes.
In our last report, we highlighted our downstream analysis of a whole-genome single nematode sequence dataset. Following the identification of candidate genetic regions under selection for adaptation on Peking type resistant soybeans (RHG1a/RHG4), the Hudson group completed the downstream analysis. The high resolution and statistical power from single SCN J2 sequencing allowed us to pinpoint small haplotypes under selection (average ~ 8 KB), resulting in a narrower and more precise candidate gene list. We estimated the population effective size using various methods, and we are in the process of confirming it with other software – this population size is likely at least in the hundreds of thousands, even in this greenhouse-maintained inbred population, showing the degree of diversity that is retained in SCN populations. Due to limited functional annotation in the TN10 and PA3 SCN genomes, we are now developing better functional annotation of the candidate genes using protein blast and 3-D structure similarity tools. Additionally, we are analyzing the effect of SNPs on protein structure and function. With a list of candidate genes under selection, our next step is to determine their function and role in SCN-Soybean interaction, along with assessing the impact of corresponding SNPs on their function. Analyzing and understanding structural genome variants in the population is now in progress, something that is now possible in SCN research for the first time. Our joint publication led by the Mitchum group and including the Scaboo group on poolseq analysis of the selected populations (the previous generation of population analysis) is now under revision as detailed elsewhere in this report. While the poolseq work is ground breaking and the first of its kind, the single nematode genome data will resolve the loci described in that research in far greater detail, and potentially find genes and / or markers underlying virulence in the population. The SCN pangenome has been completed, we are currently close to finalizing coherent assemblies and annotations between the different genomes to be able to launch a public resource on SCNBase. A manuscript describing the pangenome is in preparation, with extensive comparative analysis between the Hg type reference assemblies.
As previously mentioned by the Hudson group, alignment against one reference genome (for example, the TN10 genome used for Pool-Seq mapping) can lead to reference bias. In order to minimize reference bias, independently confirm our Pool-Seq results, and possibly detect more relevant and refined candidate genes, the Mitchum lab repeated the entire Pool-Seq analysis using a new set of reference genomes (PA3 and MM26). Because the two unrelated avirulent and virulent SCN population pairs used in the Pool-Seq study were derived from the progenitors PA3 and MM26 (i.e., ancestors), those two pairs are closely related to these new genomes and are, therefore, more appropriate for apples-to-apples comparison, instead of mapping to an unrelated TN10 genome. Repeating the analysis with these two new references led to the discovery of mostly identical candidate genes that were located on the same chromosomal regions, as identified from the TN10-mapped Pool-Seq study. Interestingly, we were able to find additional candidate genes which were not discoverable from mapping to the TN10 genome. The Mitchum lab has also submitted a manuscript to publish the Pool-seq study and has received positive, constructive feedback from the reviewers; we will submit a revised manuscript very soon.
Sub-objective 1.2: Resequencing of the genomes and transcriptomes of virulent SCN populations and conduct comparative analyses. (Hudson, Mitchum, Baum)
The Baum lab has developed gland cell-specific library resources for two developmentally important time points (parasitic J2 and J3), and representing two diverse populations of soybean cyst nematode, PA3 (avirulent, Hg type 0) and MM10 (virulent, Hg type 1-7). We are successfully using these resources in our analysis of potential novel effector targets, and strategies for attacking such targets. To allow for comprehensive analysis of the key targets responsible for SCN parasitic and evasion strategies, we seek the completion of our library time points to include a pre-parasitic time point (freshly hatched J2) to investigate effector targets being expressed prior to invasion. We are also exploring the feasibility of developing a J4 parasitic female time point to look at effector targets being expressed during late syncytial maintenance and plant immune suppression stages. This later time point may be harder to achieve, given the fragility of the gland cell at this late time point, and may possibly require hand-dissection to isolate this cell type. Successful generation of libraries from this later cell type remains uncertain.
The Mitchum lab has been testing the exon SNPs in select candidate virulence genes for their possible correlation to SCN virulence phenotypes (HG Types) using individual virgin females isolated from multiple, un-related SCN inbred populations (i.e., populations not used in the Pool-Seq study). Remarkably, one candidate gene strongly correlated to virulence on Peking and/or PI 90763 in several unrelated SCN inbred populations, in addition to the original Pool-Seq populations from which we validated the exon SNPs. For this reporting period, we are finalizing the testing of several more SCN population-specific correlation experiments to solidify our claim that this candidate gene may be involved in virulence.
Sub-objective 1.3: Validate and characterize genes associated with SCN virulence and evaluate their utility as novel resistance targets. (Mitchum, Baum)
As proposed by Baum Lab previously, we developed an RNA interference (RNAi) pipeline based on dsRNA soaking to characterize nematode effector genes. We have established this pipeline, detailing the optimal probe size and conditions necessary for effective gene silencing via dsRNA soaking. Recently, we successfully silenced an SCN gland-specific transcription factor as a proof of concept. Furthermore, we have expanded our efforts to successfully silence other gland-specific effector gene candidates in SCN. Our work demonstrates the robustness and versatility of our RNAi approach. To assess the RNAi effect on nematode parasitism, we have developed a penetration assay using soybean seedlings. This assay showed that after gene silencing, treated nematodes struggled to penetrate the plant roots compared to non-soaked nematodes. We observed less nematode penetration in dsRNA soaking compared to the control nematodes (no soaking), suggesting a correlation between silencing of the expression of the tested gene and successful parasitism. This assay has proven highly effective in observing the gene silencing effects with precision.
In Mitchum lab, full-length virulence gene candidates were cloned from the cDNAs of parasitic juveniles and subsequently sequenced to confirm the presence of significant SNPs detected through pool-seq, along with any additional SNPs. Utilizing these clones, primers were designed for cloning these candidate genes into both yeast two-hybrid and host-induced gene silencing vectors. Presently, the construction of these vectors containing the candidate genes is in progress. Additionally, DNA templates for dsRNA synthesis have been prepared for RNAi by soaking to test functionality of these candidates in virulence/parasitism of SCN.
Objective 2: Complete the evaluation of how rotations of various resistance gene combinations impact SCN field population densities and virulence profiles. (Monteverde, Scaboo, Tylka, Mitchum)
In October 2023, plants from each microplot were carefully removed and bundled then threshed to determine yield quantity. The harvested seeds were saved to use in the experiments (after checking for purity) in microplot experiments in 2024. Also in October, two different soil samples were collected from each microplot in each of the two microplot field experiments conducted in Iowa. One set of samples were processed at Iowa State University to determine the end-of-season SCN egg population density (egg number) in each microplot. The second set of samples were sent to the University of Missouri SCN Diagnostics facility for HG type testing to assess how the soybean genotypes grown in the microplots in 2023 affected or shifted the virulence of the SCN populations and how the virulence phenotypes differed from the virulence phenotype of the SCN populations used to infest the microplots initially.
Overall, SCN population densities continue to increase in the microplots, and year-to-year differences occur among plots with rotated soybean genotypes. Also, results varied somewhat between locations again. For most microplots, rotated treatments had lower SCN egg numbers than treatments planted with the same genotypes continuously. Gene pyramid rhg1-b+G. soja+Chr.10 rotated with PI 90763 (rhg1-a, Rhg4, rhg2) had the lowest SCN egg numbers in both experiments. However, this rotation caused the virulence of the SCN population to increase, as evidenced by elevated SCN female index (FI) values. In the Ames experiment, the initial SCN population used to infest the microplots had a FI of 7 on PI 90763, and the continuous PI 90763 treatment and the rotation of pyramid 2 with PI 90763 caused the FI to increase over three field seasons. The FI on PI 88788 remained well above 10 across all microplots, even in SCN populations not exposed to the rhg1-b gene, which PI 88788 possesses. Additional shifts in virulence were observed but were less substantial in comparison to those described above. HG Type test results of the SCN populations in samples collected from the 2023 microplots have not been received yet.
The results of this important rotation study for the first four years have been analyzed and Dr. Pawan Basnet and Dr. Monica Pennewitt, with support from our group, are planning to publish this research in Plant Diseases during 2024.
Objective 3: Translate the results of objectives 1-3 to the SCN Coalition to increase the profitability of soybean for producers and inform growers on effective rotation schemes designed to protect our resistant sources. (Tylka, Mitchum)
Between October 2023 and March 2024, Greg Tylka conducted 7 interviews with radio and newspaper/magazine journalists and podcast hosts and gave 17 presentations to farmers and agribusiness groups (some in person, some online) about SCN. The widespread loss of effectiveness of PI 88788 SCN resistance and its consequences was discussed in every interview and presentation, and Objective 2 of our NCSRP-funded research project was mentioned and described whenever time/space in the presentation or interview permitted.
Mitchum had several interviews with ag media personnel for news releases and radio related to research outputs under this project including the Soybean Research and Information Network, The SCN Coalition, and Alpha Ag. These releases and interviews not only discussed the loss of effectiveness of PI 88788 SCN resistance, but highlighted the ongoing research and new discoveries in genetic resistance to address this situation.
Objective 4: Organize tests of experimental lines developed by public breeders in the north central US states and Ontario. (Monteverde)
Between December and January, we completed the analysis for the 2023 tests. Final data tables were sent to cooperators and the report book was formatted and printed. In February, cooperators submitted the lists of soybean lines that they would like entered in the 2024 SCN Regional tests. Cooperators meet at Soybean Breeders Workshop to discuss the SCN Regional Tests and to finalize the 2024 entry lists. The final entry lists were sent to cooperators in March, and seed was repackaged at the University of Illinois according to test and amount needed for each cooperator. During late March we will be shipping the seed to the cooperators.
Objective 5: Diversify the genetic base of SCN resistance in soybean by developing and evaluating germplasm and varieties with new combinations of resistance genes in high-yielding backgrounds. (Monteverde, Scaboo)
The Scaboo group has now completed successful crossing attempts (3 backcrosses) using PI 90763 as a donor parent, and LD11-2170 and SA13-1385 as recurrent parents, for three major genes associated with resistance to virulent nematode populations (rhg1-a, rhg2, and Rhg4). For each crossing attempt, we have identified desirable F1 plants using marker assisted selection, and we have sped up the process by utilizing our winter nurseries in Hawaii and Puerto Rico for the last two years. During the summer of 2023, we grew over 10,000 F3 plants at our nursery in Hawaii, and all plants were sampled for marker assisted selection. Over 750 plants were selected carrying rhg1-a, rhg2, and Rhg4. Plant rows from these selections will be grown during the winter of 2023/2024, and preliminary yield trails will be conducted during the summer of 2024. Additionally, we are actively identifying and introgressing new and novel QTL/genes into our breeding programs’ elite cultivars for cultivar development, including the new SCN resistance gene GmSNAP02.
After analyzing the data from harvest, in 2024 we will be sending promising high yielding lines containing combinations of three SCN resistant genes to Uniform and SCN Regional trials. The lines we selected are 13 in total, seven carrying the rhg1-a, rhg2, and Rhg4 combination, and six lines containing Rhg1-b from 88788 with other two G. soja genes (qSCN-006 and qSCN-007). In addition, we have more lines in our pipeline with these two different gene combinations. In 2024 we will be testing a total of 25 lines with both combinations in advanced trials, and 152 In preliminary trials. We will also be genotyping our plant rows and populations for these gene combinations. We are currently preparing for the 2024 planting.
View uploaded report 
Updated October 31, 2024:
A description of relevant progress for principal and co-principal investigators is below for each objective and sub objective in our proposal. Our team has made tremendous progress in accomplishing our research goals, conducting field experiments, publishing refereed journal articles, and communicating our results to scientists and soybean producers.
Objective 1: Identify SCN virulence genes to better understand how the nematode adapts to reproduce on resistant varieties.
Sub-objective 1.1: Combine, compare, and catalogue the genomes that compromise the SCN pan-genome. (Hudson, Baum, Mitchum)
The Baum lab have adapted our TN10 manual annotation to the other 8 SCN genomes the Hudson group is working on and have integrated this data into SCNBase.org. The computational gene predictions for these 8 additional genomes have been integrated into SCNBase for release, the annotations for which have been updated to reflect the manually annotated genes from TN10.
The Mitchum lab published the following paper - Kwon KK, Viana JPG, Walden KO, Usovsky M, Scaboo AM, Hudson ME, Mitchum MG. Genome scans for selection signatures identify candidate virulence genes for adaptation of the soybean cyst nematode to host resistance. 2024. Molecular Ecology, 33:17: e17490.
The analysis of the SCN pangenome has been mostly completed, with all key findings finalized. Extra work has been conducted to enhance the scientific figures and tables for the SCN paper, which are now complete as well. We are now in the final stages of drafting the manuscript, which is on track for completion by the end of the month. Additional progress includes the identification of structural variations within regions of secreted genes, utilizing a graph-based pangenome approach to gain further insights. These structural insights are anticipated to enrich our understanding of SCN virulence factors and support broader research applications. Meanwhile, we have identified several field populations to sequence and are moving forward with sequencing of the microplot nematode populations in collaboration with the Iowa State group.
Sub-objective 1.2: Resequencing of the genomes and transcriptomes of virulent SCN populations and conduct comparative analyses. (Hudson, Mitchum, Baum)
The Baum lab is continuing to develop their gland-cell-specific library resources. This includes the completion of library time points to include novel effector targets expressed at these unexplored time points. Additionally, we are utilizing our pooled genomic and transcriptomic data to identify candidate effector genes of the soybean cyst nematode for high-throughput protein-protein interaction studies. We have identified 220 effector candidates based on criteria such as the presence of signal peptides, high and specific expression in gland cells during developmental stages, and cellular localization. These effectors are expected to modulate host defenses, alter hormone signaling, and restructure plant cellular architecture, which are critical for nematode parasitism.
The Mitchum lab continued testing the exon SNPs in select candidate virulence genes for their possible correlation to SCN virulence phenotypes (HG Types) using individual virgin females isolated from multiple, un-related SCN inbred populations (i.e., populations not used in the Pool-Seq study). Remarkably, one candidate gene strongly correlated to virulence on Peking and/or PI 90763 in several unrelated SCN inbred populations, in addition to the original Pool-Seq populations from which we validated the exon SNPs. For this reporting period, we continued finalizing the testing of several more SCN population-specific correlation experiments to solidify our claim that this candidate gene may be involved in virulence.
Sub-objective 1.3: Validate and characterize genes associated with SCN virulence and evaluate their utility as novel resistance targets. (Mitchum, Baum)
The Baum lab is currently preparing to analyze the protein-protein interactions of 220 SCN effector proteins within the soybean plant using a high-throughput yeast two-hybrid Cre recombinase-based system. Optimization of experimental conditions is underway, and both positive and negative controls have been successfully cloned in the pEntry vector and subsequently into the destination vector using the Gateway cloning. Further sequencing will be done to confirm that these genes are cloned in-frame, which is a critical step for ensuring proper interactions. We will then plan to screen the identified effectors against a soybean cDNA library to map effector-host protein interactions, furthering our understanding of SCN parasitism and identifying potential targets.
In the Mitchum lab, full-length virulence gene candidates were cloned from the cDNAs of parasitic juveniles and subsequently sequenced to confirm the presence of significant SNPs detected through pool-seq, along with any additional SNPs. Utilizing these clones, primers were designed for cloning these candidate genes into host-induced gene silencing (HIGS) vectors. One HIGS construct targeting a candidate virulence gene was completed and composite soybean plants were generated for nematode infection assays. We observed a significant reduction in the fecundity of females developing on the transgenic roots transformed with the HIGS construct for our target gene. The eggs recovered from transgenic and non-transgenic control roots were re-inoculated back to wild-type soybeans to evaluate the progeny for any defects in parasitism and the test results will become available in the next reporting period. A second set of composite soybean plants in both a resistant and susceptible soybean background have been generated to test reproducibility of the results and evaluate silencing in nematodes developing on the transgenic roots.
Objective 2: Complete the evaluation of how rotations of various resistance gene combinations impact SCN field population densities and virulence profiles. (Scaboo, Tylka)
Between 1 August and 31 October 2024 personnel in the Tylka laboratory removed mature soybean plants from the microplots at both experiments. The plants will be run through a plot combine to obtain the seed. Also, two separate 10-core soil samples were collected from each microplot in both experiments, one to determine SCN egg population densities and the other to test the virulence of the SCN population on several SCN-resistant soybean genotypes. The soil samples to determine egg population densities will be processed at Iowa State University in upcoming months and the samples to assess virulence have been sent to the University of Missouri for HG type testing. The results of this important rotation study for the first four years have been analyzed and Dr. Pawan Basnet and Dr. Monica Pennewitt, with support from our group, are planning to publish this research in Plant Disease during 2024.
Objective 3: Translate the results of objectives 1-3 to the SCN Coalition to increase the profitability of soybean for producers and inform growers on effective rotation schemes designed to protect our resistant sources. (Tylka, Mitchum)
Tylka gave 4 interviews with print ag media personnel at the Farm Progress Show in Boone, IA on August 27 and gave one presentation at a Syngenta VIP education event at the show on the same day. He also gave 4 hour-long presentations at a Pioneer meeting on September 12. On October 1, Tylka gave an interview to George Bower of KICD radio in northwest Iowa about what farmers should be doing relating to SCN from October through December 2024. In every presentation and interview mentioned above the loss of effectiveness of PI 88788 SCN resistance was discussed.
Mitchum partnered with The SCN Coalition to highlight how Checkoff investments through this NCSRP project have paved the way for important research breakthroughs in identifying the resistance-thwarting genes in SCN and what it means for growers. The article was published in here August 20, 2024: https://www.thescncoalition.com/news/2024/08/20/breakthrough-scn-research-pest-resilience-genes/
Objective 4: Organize tests of experimental lines developed by public breeders in the north central US states and Ontario. (Monteverde)
During July-August period we took data for flower color, pubescence and height on all accessions that were planted in Urbana. In September we finished our maturity notes and all trials in Urbana are being harvested during the last week of October. All collaborators will send their data on yield and agronomic traits in the next months, for final analysis and compiling.
Objective 5: Diversify the genetic base of SCN resistance in soybean by developing and evaluating germplasm and varieties with new combinations of resistance genes in high-yielding backgrounds. (Monteverde, Scaboo)
At the soybean breeding program in UIUC, we are testing promising high yielding lines containing combinations of three SCN resistant genes in multi-environment trials. During the August -September period we collected data on flowering, lodging and maturity on 25 lines on advanced trials and 152 lines in preliminary trials. All these lines contained either Peking type resistance, or a combination of rhg 1-b from 88788 and two G. soja genes that confer resistance to several SCN HG types. We finished harvesting at the end of October, and we will be processing yield data in the following weeks to make experimental line selections to send to USDA uniform trials. We also genotyped our F3 and F4 populations for these two types of resistance, and we selected 208 plants out of a total of 2527 plants with Peking type resistance, and 321 plants out of a total of 1731 plants with the 2 G. soja genes + rhg 1-b gene combination. In addition, in 2024 we decided to add one more gene to each of these two combinations in order to enhance pathogen resistance in our soybean lines. We are now working on combining GmSNAP02 gene, previously identified by the Scaboo group in Missouri, to the three gene Peking stack. We are also adding the CHR10 gene to the rhg1-b + 2 gene G. soja combination. Crosses were made in July, F1 seed was harvested and will be sent to winter nurseries for generation advance. In 2025 we will be genotyping and selecting plants with the desired gene stacks.
The Scaboo group, during the summer of 2024 grew over 5,000 F3 plants for marker assisted selection of important genes rhg1-a, rhg1-b, rhg2, Rhg4, and GmSNAP02. Over 200 plants were selected carrying rhg1-a, rhg2, and Rhg4 plus additional genes. Plant rows from these selections will be grown during the winter of 2024/2024, and preliminary yield trails will be conducted during the summer of 2024. Additionally, we are actively identifying and introgressing new and novel QTL/genes into our breeding programs’ elite cultivars for cultivar development.
View uploaded report
Updated April 15, 2025:
A description of relevant progress for principal and co-principal investigators is below for each objective and sub objective in our proposal. Our team has made tremendous progress in accomplishing our research goals, conducting field experiments, publishing refereed journal articles, and communicating our results to scientists and soybean producers.
Objective 1: Identify SCN virulence genes to better understand how the nematode adapts to reproduce on resistant varieties.
Sub-objective 1.1: Combine, compare, and catalogue the genomes that compromise the SCN pan-genome. (Hudson, Baum, Mitchum)
The Mitchum lab continued comparative genomics analyses using the above SCN pan-genome resources generated through this project to catalogue candidate virulence genes identified in pool-seq mapping studies.
The Hudson lab has slightly delayed SCN pangenome paper, but we hope that it will be submitted in the next month or so. It looks very promising, so we want to do a good job. We have built on the poolseq approach we developed with Melissa to look at the wormplasm in the microplots. Greg was able to ship us soil samples and we have sequenced 72 of them with deep Illumina sequencing. Analysis is in progress. Following the successful completion of a single-nematode population genomic analysis, the Hudson group has initiated a second study employing a pooled sequencing (Pool-seq) approach to investigate soybean cyst nematode (SCN) adaptation. This study builds upon findings from the initial work, which identified candidate genes linked to SCN virulence against rhg1-a- and Rhg4-mediated resistance and highlighted a high effective population size, suggesting extensive genetic diversity within SCN populations. For this new effort, 72 SCN-infested soil samples were collected from two independent field sites in Iowa: Ames and Kanawha. Cyst extractions and purification were performed following established nematological protocols. Cysts were then surface-sterilized, pooled by sample, and prepared for whole-genome shotgun sequencing. Sequencing has been completed for 12 SCN populations, each with six biological replicates, totaling 72 pooled samples. Preliminary analyses of raw reads have been performed, and downstream population genomic analyses are currently underway using the PoPoolation pipeline. The SCN populations in the wormplasm experiment represent a broad spectrum of virulence profiles, having been exposed over several years to various soybean resistance sources—including PI 88788, Peking, PI 90763, wild soybean accession, etc. This dataset offers a unique opportunity to dissect the genomic basis of SCN adaptation and selection under long-term resistance pressure and to uncover mechanisms driving changes in virulence.
The Baum lab has updated SCNBase.org to include the most mature version of the TN10 genome, which includes our latest manual annotations, as well as the 8 additional Hudson genomes.
Sub-objective 1.2: Resequencing of the genomes and transcriptomes of virulent SCN populations and conduct comparative analyses. (Hudson, Mitchum, Baum)
The Mitchum lab has confirmed a correlation between exon SNPs in select candidate virulence genes and SCN virulence phenotypes (HG Types) using individual virgin females isolated from multiple, un-related SCN inbred populations (i.e., populations not used in the Pool-Seq study).
The Hudson lab has investigated the genetic variation within two regions of interest (ROIs) in the soybean cyst nematode (SCN) genome, focusing on loci previously associated with increased virulence (Kwon et al., 2024). Specifically, we targeted genomic intervals on chromosomes 3 and 6, where strong signatures of selection were detected. For each ROI, we extracted a 5 kb window centered around the most significant SNPs and analyzed their local sequence diversity using a graph-based approach. The graphs were constructed from seven high-quality de novo assemblies, with TN10 serving as the reference. Subgraphs representing the ROI on chromosome 6 revealed multiple structural variants (SVs), including three large (654 bp, 818 bp, and 722 bp) and three smaller insertions or deletions (83 bp, 133 bp, and 110 bp), which we refer to as L-1 through L-3 and M-1 through M-3, respectively. Within the chromosome 6 ROI, the structural variants segregated into two major haplotypes. The first haplotype, observed in TN22, TN10, and MM26, consists of the variants M-1, L-1, and L-2. The second haplotype, shared by OP50, TN8, TN20, TN7, and PA3, includes M-2, M-3, and L-3. These contrasting configurations may underline functional differences in virulence among SCN populations. However, since each genome assembly was generated from pooled individuals, it remains uncertain whether these patterns represent true, individual-level haplotypes. Thus, further validation is required to confirm the biological significance of the structural divergence observed in the graph. To address this, our next step is to align PacBio HiFi long reads from the MM26 and PA3 populations to the pangenome graph. Although the sequencing libraries were prepared from pooled nematodes, each HiFi read corresponds to a single molecule derived from a single individual, preserving individual haplotypic segments. By aligning these reads to the graph and extracting those that traverse the ROI, we aim to identify whether these two haplotypes are supported by real reads. This will involve quantifying read depth and clustering alignments based on their traversal of variant paths through the graph. If validated, this approach not only confirms population-level haplotypes but also establishes a strategy for recovering real haplotypes in systems where sequencing single individuals remains technically challenging. Confirming the presence of distinct haplotypes in these virulence-associated regions would provide strong support for the functional role of structural variation in SCN pathogenicity.
The Baum lab is utilizing its combined genomic and transcriptomic data resources to aid in the ongoing efforts to identify and fine tune our effector candidates for our yeast two-hybrid approach in sub-objective 1.3. This approach reflects the vast amounts of data we have developed and made available for SCN omics-based research.
Sub-objective 1.3: Validate and characterize genes associated with SCN virulence and evaluate their utility as novel resistance targets. (Mitchum, Baum)
In the Mitchum lab, multiple full-length virulence gene candidates were cloned from the cDNAs of parasitic juveniles and used to generate host-induced gene silencing (HIGS) constructs or double-stranded RNA for silencing gene targets in juveniles through soaking methods. In a first set of bioassays, one HIGS construct targeting a candidate virulence gene showed promising results in reducing the fecundity of females (23-46% reduction) developing on the transgenic roots transformed with the HIGS construct for our target gene. A second set of composite soybean plants in both a resistant and susceptible soybean background were generated to test reproducibility of the results; again, we observed a reduction in fecundity of females but to a lesser extent (10-13%); additional HIGS and soaking experiments are underway to further validate reductions and evaluate silencing in nematodes developing on the transgenic roots.
In the Baum lab, we are preparing to analyze protein-protein interactions of 220 soybean cyst nematode (SCN) effector proteins in soybean using a high-throughput Cre recombinase-based yeast two-hybrid (CrY2H) system. To date, both positive and negative controls have been successfully cloned into the requisite vector (pEntry) and subsequently transferred into the destination vector via Gateway cloning. Whole plasmid sequencing has confirmed that these genes are cloned in-frame. We have transformed these constructs into CrY2H-compatible yeast strains and optimized the culture conditions, including dropout and other selective media, which are essential for detecting genuine protein-protein interactions. One of the main challenges we are addressing is the occurrence of false-positive results caused by auto-activator—proteins that independently activate reporter genes without a true interaction partner. To mitigate this issue, we are currently developing a negative selection strategy to minimize the impact of auto-activators. Following this optimization, we will proceed to screen the cloned SCN effectors against a soybean cDNA library. This will help identify effector–host protein interactions, offering insights into SCN parasitism and potential targets for enhancing soybean resistance
Objective 2: Complete the evaluation of how rotations of various resistance gene combinations impact SCN field population densities and virulence profiles. (Tylka)
The results of this important rotation study for the first four years have been analyzed and Dr. Pawan Basnet and Dr. Monica Pennewitt, with support from our group, are planning to publish this research in Plant Disease during 2025. Scaboo, Tylka, and Mitchum assisted with the review and editing of the manuscript draft in preparation for submission in the next reporting period.
In October 2024, mature soybean plants were collected by the Tylka lab from the microplots at both Iowa microplot experiments. The plants were run through a plot combine to obtain the seed, which was weighed and then saved for use in 2025. Also, two separate 10-core soil samples were collected from each microplot in both experiments at the time of harvest. One set of soil samples were used to determine SCN egg population densities and the other set to test the virulence of the SCN populations in the microplots on the HG type indicator lines. The soil samples collected to determine egg population densities were processed and counted at Iowa State University by Tylka lab personnel in March 2025. The soil samples collected to assess virulence of the SCN populations in the microplots were sent to the University of Missouri SCN Diagnostics facility for HG type testing in November 2024, and those results are expected to be received by the end of June 2025.
Objective 3: Translate the results of objectives 1-3 to the SCN Coalition to increase the profitability of soybean for producers and inform growers on effective rotation schemes designed to protect our resistant sources. (Tylka, Mitchum)
Tylka gave numerous interviews with print and radio ag media personnel and several in-person and virtual online presentations to seed company personnel and independent crop consultants about the situation with SCN and resistant varieties in the Midwest. The loss of effectiveness of PI 88788 SCN resistance was discussed in every presentation as was the research being conducted with NCSRP funding in this project to develop strategic rotations to the main effectiveness of SCN resistance in the future. Mitchum and Scaboo continued discussions to develop a public-private partnership with Corteva on a project to evaluate different soybean product concepts that can be used in rotation to increase the profitability of soybean for producers and protect the future of resistant sources. This ultimately will lead to an integrated approach to enhance durability of SCN resistance for long-term, strategic SCN management resulting in a significant return on investment through increased profitability of soybean for producers, which are two of the primary goals of this NCSRP project.
Objective 4: Organize tests of experimental lines developed by public breeders in the north central US states and Ontario. (Monteverde)
After harvest, all collaborators sent their data on yield and agronomic data. These data along with data on protein, oil, greenhouse data on SCN resistance, egg counts and HG types on soil was compiled and analyzed at UIUC. The final electronic version of the 2024 SCN regional trials report was sent to collaborators in December of 2024, and the printed version was distributed at the Soybean Breeders’ Workshop in February 2025.
Objective 5: Diversify the genetic base of SCN resistance in soybean by developing and evaluating germplasm and varieties with new combinations of resistance genes in high-yielding backgrounds. (Monteverde)
At the soybean breeding program in UIUC, we are testing promising high yielding lines containing combinations of three SCN resistant genes in multi-environment trials. This year, we sent one high yielding line with Peking resistance, and two lines with a combination of rhg 1-b from 88788 and two G. soja genes (cqSCN-007 and cqSCN-006), to commercial increases in 2025. We have more lines with these gene combinations in our pipeline, which will go for preliminary and advanced testing in 2025. In addition, with support from the Illinois Soybean Association, we are adding one more genes to each of these two gene combinations in order to enhance pathogen resistance in our soybean lines. We are now working on combining the GmSNAP02 gene, previously identified by the Scaboo group in Missouri, to the three gene Peking stack. We are also adding the CHR10 gene to the rhg1-b + 2 gene G. soja combination. We sent F2 seed to Puerto Rico for increases, and we will have F3 and F4 populations in the field this season.
View uploaded report