G3

Fungal genomics has expanded rapidly over the past 30 years, and recently the pace and breath has further quickened for many taxa, although many taxonomic gaps persist. With three decades of rapid growth, fungal genomics now merits a re-examination of its history, progress, and unresolved taxonomic gaps. Here, we review the development of fungal genomics from early efforts such as the Fungal Genome Initiative to current progress driven by third-generation long-read sequencing. We have compiled and summarised publicly available fungal genomes to highlight trends in assembly quality, adoption of long-read technologies, and taxonomic representation. Notably, substantial phylogenetic gaps remain, particularly outside Dikarya, and significant challenges persist for unculturable taxa. This review identifies priorities for the fungal community, including: (1) coordinated efforts to close major taxonomic gaps across the fungal tree of life; (2) improved repository metrics to facilitate identification of high-quality assemblies; and (3) improved and standardised genome annotation which is lacking for most assemblies. Together, these steps will support the development of reliable genomic resources that capture the full breadth of diversity across the fungal kingdom, generating foundational data for comparative genomics, evolutionary biology, functional studies, genetic studies and applied research.

Epimutations are changes in chromatin modifications, such as DNA methylation or histone modifications. Some of these epigenetic changes can be inherited for several generations, and they potentially contribute to evolutionary processes. Estimates of epimutation rates now exists in a few species, but the presence and function of epigenetic marks are not conserved across different species. To understand the properties of epimutations in fungi, we performed a mutation accumulation experiment with the filamentous fungus Neurospora crassa and investigated spontaneous changes in DNA methylation and trimethylation of lysine 9 on histone H3 (H3K9me3) in the mutation accumulation lines. We observed that centromeric regions are hotspots of spontaneous DNA methylation changes in N. crassa. In these hotspot regions, DNA methylation changes were transmitted across mitoses, but changes occurring in euchromatin were not maintained. The rate of DNA methylation changes was around 30 000 fold faster than the genetic mutation rate. We did not observe spontaneous changes in H3K9me3 that were transmitted across mitoses. Our results show that while spontaneous epimutations occur in this species, they occur predominantly in gene poor heterochromatic regions, so their impact for evolutionary adaptation may be limited.

AbstractEmergomyces africanus is a thermally dimorphic fungal pathogen endemic to Southern Africa which can cause fatal systemic infections in persons with advanced HIV disease. Its mechanisms of pathogenesis are not well understood. Characterisation of virulence traits in this pathogen requires appropriate molecular tools for genetic manipulation. Molecular technologies developed for the transformation of H. capsulatum were adapted for use in E. africanus. Agrobacterium-mediated transformation was used to generate a reporter strain expressing green fluorescent protein (GFP). The E. africanus GFP reporter strain facilitated the study of yeast interaction with macrophages in vitro and allowed the identification of infected phagocyte cell types in the mouse lung by flow cytometry. E. africanus could also maintain episomal plasmids with telomere-like sequences, to introduce expression constructs without genome modification. Using this plasmid system, RNA interference constructs were used to knock down the expression of cell wall (1,3)-glucan by targeting the transcripts of the -glucan synthase (AGS1). An episomal CRISPR/Cas9 system was evaluated for E. africanus, which effectively disrupted GFP in a reporter strain and enabled the generation of a URA5 uracil auxotroph. These tools and strains will facilitate future studies to elucidate the mechanisms of pathogenesis of E. africanus. ImportanceEmergomyces africanus is an opportunistic fungal pathogen affecting persons with advanced HIV disease in South Africa. The biology and pathogenesis of E. africanus are not well understood, as the importance of the disease caused by this fungus (emergomycosis) has only been recognised in recent years and molecular studies have been impaired by the lack of genetic technologies. In this work, we describe tools and methods for the genetic modification of this pathogen, which will accelerate future studies investigating how the fungus causes disease in the human host. These essential tools include (1) the ability to create fluorescent reporter strains, such as the green fluorescent protein E. africanus strain described here, which facilitates tracking the spread of the fungus during infection and enhances microscopy studies, (2) methods for knocking down gene expression in E. africanus, and (3) the permanent disruption of genes through CRISPR/Cas9 gene editing.

Genomic prediction models that account genotype-by-environment (GxE) have the potential to accelerate the rate of genetic gain for yield and agronomic performance, yet relatively few studies have applied GxE prediction in public soft red winter wheat (Triticum aestivum) breeding programs. In this study, we extended a reaction norm-based genomic prediction framework by integrating weather-based environmental covariates to more effectively capture genotype- environment interactions. Key agronomic traits, including seed yield, plant height, test weight, and heading date, were evaluated across 33 environments (location-year) using over 3,200 breeding lines from the North Carolina State University small grains breeding program. Multiple genomic prediction models were compared using several cross-validation (CV) schemes representing common breeding scenarios. Across traits, the reaction norm M5 model, which incorporates both GxE and genotype-by-environmental covariate interactions (GxO), achieved the highest prediction accuracy (PA) in CV2 (predicting incomplete field trials) and CV1 for yield and test weight (predicting new lines). The highest PA was observed for test weight under CV2 (0.54) and for yield under CV1 (0.41). Under CV0 (predicting new environments), the M3 model incorporating GxE produced highest PA across traits, with the greatest accuracy for plant height (0.45), although differences among M2, M3, and M4 were small. Prediction under CV00 (predicting new lines in new environments) remained more challenging, with PA values 0.10 - 0.20 across traits. Overall, our results demonstrate that integrating environmental covariates into genomic prediction models can improve predictive performance across diverse wheat-growing environments in North Carolina, supporting their utility for applied breeding efforts. CORE IDEASO_LIIntegrating genotype-by-environment (GxE) interactions with environmental covariates improves prediction accuracy across environments. C_LIO_LIModel performance varies by prediction scenario, with different approaches performing best for new lines, incomplete trials, or new environments. C_LIO_LIPrediction of new lines in new environments remains challenging. C_LI PLAIN LANGUAGE SUMMARYThis study explores how adding environmental information to genomic prediction models can improve prediction accuracy in a public winter wheat breeding program. Using data from multi-environment trials conducted across diverse conditions in North Carolina, we evaluated statistical models that capture how different wheat lines respond to changing environments. By incorporating weather data, we improved the ability to predict performance across locations and years. These findings provide practical insights for refining selection strategies and accelerating genetic gain in wheat breeding.

Nakaseomyces glabratus is a globally distributed opportunistic fungal pathogen. An ongoing discussion in studies of N. glabratus population structure has been whether genetic clusters are best defined using multilocus sequence typing (MLST) or short-read whole-genome sequencing (WGS). To assess the concordance between MLST- and WGS-based phylogenies, we analyzed a dataset of 548 N. glabratus WGS sequences from 12 countries. Clusters identified from WGS largely recapitulated the MLST-defined sequence type (ST) groups: fourteen WGS clusters were composed of a single MLST ST, and the remaining contained STs with very closely related MLST profiles. We thus propose a pragmatic naming convention, consistent with the system used in other microbial species, which specifies WGS cluster labels based on the primary ST. From the large WGS isolate dataset, we determined the prevalence of admixture and genomic variants. Interestingly, seven of the nine singleton isolates were admixed, in addition to 58 isolates from six different clusters. Aneuploidy was detected in 4% of isolates, most commonly in chrE, which contains ERG11, the gene encoding the enzyme targeted by azole antifungals. Aneuploid chromosomes did not exhibit elevated heterozygosity relative to the sequencing error rate, consistent with instability of extra chromosome copies. Copy number variants were found in 3% of the isolates; some of the CNVs co-occurred with aneuploidies, and were primarily identified on chrD, chrE, chrI, and chrM. Our findings demonstrate that deep splits between clusters preserve the utility of MLST ST designations for clade-level designation, yet underscore the utility of WGS for high-resolution genomic analyses. Article SummaryThere is an ongoing debate in studies on Nakaseomyces glabratus about whether traditional MLST analysis is sufficient to determine population structure, or whether the precision of whole genome sequencing (WGS) is necessary. We analyzed WGS data from 548 isolates from around the world. We found a very strong agreement between the two methods. We propose a hybrid naming system, where cluster names are based on the dominant MLST group. We used the WGS data to show that admixed isolates, and those with extra chromosomes or CNVs are rare (<7% of isolates in each class) and are distributed throughout the phylogeny.

Grain mold severely constrains sorghum [Sorghum bicolor (L.) Moench] productivity and grain quality in subhumid environments. Photoperiod-sensitive flowering plays a key role in mold avoidance and yield stability along north-south rainfall gradients. In response to the high susceptibility of elite cultivars in subhumid zones of Senegal, we developed and characterized a recombinant inbred line (RIL) population derived from Nganda (grain mold-susceptible) and Grinkan (photoperiod-sensitive) varieties. The population was evaluated across three distinct agro-ecological zones over two years. Environmental indices derived from genotype-environmental interactions, together with defined growth windows, strongly influenced flag leaf appearance (FLA), a photoperiodic flowering trait. Plasticity parameters (intercept and slope) for environmental indices, FLA, grain mold severity, and yield enabled identification of loci contributing to flowering response, mold resistance, and yield stability. The maturity gene Ma1 and two QTLs for FLA, qFLA6.2 and qFLA6.3, were identified, stable across environments, and colocalized with grain mold and yield QTLs. The wild-type Ma1 allele from Grinkan delayed FLA and reduced grain mold damage but was not associated with increased yield. The Ma1 effect was confirmed using the developed breeder-friendly KASP marker, Sbv3.1_06_40312464K, in 174 F3 three-way cross families. Photoperiod-sensitive lines with intermediate-to-late FLA alleles showed strong negative associations with mold damage. Overall, the identified stable loci and candidate lines provide foundations for effective molecular breeding of climate-resilient varieties. PLAIN LANGUAGE SUMMARYGrain mold is a fungal disease that reduces sorghum grain yield and quality, particularly in subhumid climates. With the limited number of resistant elite varieties, photoperiod-sensitive flowering to day length variation can contribute to grain mold escape at the end of rainy seasons. We characterized 286 sorghum recombinant inbred lines across three contrasting environments over two years along rainfall gradients in Senegal. Using flag leaf appearance (FLA), which is a photoperiodic flowering trait, strong genotype-environment interactions for FLA and genotypic plasticity were revealed. We identified and validated the common genomic locus associated with FLA variation and its plasticity across environments, the canonical maturity gene Ma1, which was influenced by temperature variation across environments. The presence of Ma1 in the background of photoperiod-sensitive lines enhances grain mold avoidance and yield stability along rainfall gradients in Senegal. CORE IDEASO_LIWe investigated photoperiodic flowering plasticity in sorghum as a contributor to grain mold resistance and yield stability along rainfall gradients. C_LIO_LIThe Maturity locus Ma1 (qFLA6.1) is the major contributor of photoperiodic flowering and its plasticity across semi-arid and subhumid environments. C_LIO_LIHybrid genotypes carrying two stable loci qFLA6.1 and qFLA6.2 sustain high grain mold avoidance in diverse environments. C_LIO_LIPhotoperiod-sensitive lines with medium to late flowering times are effective in avoiding grain mold, while maintaining yield stability in subhumid regions. C_LI

Phytophthora cinnamomi, the causal agent of Phytophthora root rot (PRR), poses a persistent threat to the United States avocado industry, the top domestic producer and consumer. Avocado growers are facing clonal A2 P. cinnamomi populations challenging their current PRR control methods. In this study, we characterized 125 isolates collected from orchards in California, Florida, Hawaii, Texas, and Puerto Rico for radial growth per day, optimal growth temperature, in vitro fungicide sensitivity, and virulence on DAnjou pear fruit and UC2001 avocado seedlings. Across all isolates, optimal growth occurred most frequently at a range from 22 to 25{degrees}C; however, a subset of isolates from Hawaii, Florida, and California exhibited higher optimal growth temperatures (28{degrees}C and 30{degrees}C) suggesting thermal adaptation in warmer regions. Potassium phosphite EC50 values spanned from 4.61 to 763.13 {micro}g/ml, with significantly higher insensitivity in isolates from California and Florida, reflecting the continued overuse of this fungicide in these major production states. In contrast, baseline sensitivities to ethaboxam, mandipropamid, mefenoxam, fluopicolide, and oxathiapiprolin were uniformly high, with narrow, unimodal EC50 distributions across states. Finally, a wide range of virulence among isolates was detected using avocado seedlings and DAnjou pear fruits with isolates from California and Puerto Rico being the most virulent. Together, this data documents extensive phenotypic diversity within clonal A2 P. cinnamomi populations including heat-adapted and phosphite-insensitive lineages, establishes multi-state fungicide sensitivity baselines, and underscores the need for continued surveillance, integrated fungicide stewardship (especially phosphonates), and rootstock screening against phenotypically diverse populations to sustain avocado PRR management and ensure the United States avocado industry sustainability and profitability.

Botrytis cinerea is a necrotrophic fungal pathogen that infects thousands of plant species. During infection, these diverse plant hosts produce different specialized metabolites that can inhibit pathogen growth and shape pathogen fitness. However, the genetic architecture of pathogen resistance toward individual host defense metabolites remains poorly understood. To address this question, we exposed 83 B. cinerea isolates to the metabolite linalool and quantified metabolic and structural responses. Exposure revealed extensive phenotypic diversity across isolates. Genome-wide association identified 101 genes of interest associated with membrane transport and stress response regulation. Genetic associations were stronger for morphological traits than for metabolic traits, suggesting that hyphal architecture may have a complex genetic architecture contributing to linalool resistance. Together, these results establish natural variation in linalool response and provide candidate loci for understanding how generalist pathogens respond to host-derived chemical defenses. Article SummaryTo understand how a generalist pathogen responds to host defenses, we asked how Botrytis cinerea responds to linalool, a widespread monoterpene involved in plant defense. We exposed 83 B. cinerea isolates to 1000 {micro}M of linalool for 72 hours and quantified metabolic traits (growth curves and growth dynamics over time) and morphological traits (hyphal network features). Using GWA, we linked phenotypic variation to genetic variants. Results indicate substantial natural variation in linalool resistance and distinct genetic architectures across trait classes: metabolic responses are driven by a relatively small number of loci with larger effects, whereas structural/morphological responses appear more polygenic.

The fungal pathogen Zymoseptoria tritici poses a major global threat to wheat production, causing severe yield losses and necessitating intensive and costly fungicide applications. The increasing demand for durable genetic resistance has intensified interest in quantitative resistance loci, particularly those exhibiting multi-stage resistance (MSR), which suppress pathogen development continuously throughout the wheat life cycle. Many previously effective resistance genes are now showing declining efficacy, underscoring the urgent need for novel and long-lasting sources of resistance. In this study, we report the identification and genetic mapping of two quantitative resistance loci that address this need. The first locus, designated Stb23, is a major QTL on chromosome 1DS, with LOD scores exceeding 9 and explaining 6-36% of phenotypic variation at the seedling stage and 2-16% at the adult-plant stage. The second locus, designated Stb24, is a major QTL on chromosome 3DL, with LOD scores of approximately 10 and accounting for 11-30% of seedling-stage variation and 9-23% of adult-plant variation. Furthermore, two tightly linked KASP markers-snp_1D1217527 for Stb23 and snp_3D1077880 for Stb24-were developed and validated across three popular Australian bread wheat cultivars, providing practical tools for deploying these loci in breeding programs targeting improved resistance to Z. tritici. Key messageTwo significant major-effect resistance loci on chromosomes 1DS (proposed as Stb23) and 3DL (proposed as Stb24) were identified and characterized. Two tightly linked KASP markers with these loci were also discovered and validated for molecular-assisted breeding programs.

We often think of fungi as mysterious organisms that do not follow the general principles of other eukaryotes. Thus, when exciting results are found, these organisms do not always receive the rigorous level of scrutiny seen in other fields. For many fungal species, dispersal and reproduction relies on spores, either sexual or asexual. These spores can either have a single nucleus, or multiple nuclei, and the purpose of these presumably mitotic copies was unclear. Recently it was described that the multiple nuclei in these spores are not mitotic duplicates, but instead they share a single haploid set of chromosomes distributed across nuclei. Here, we provide fluorescent microscopy and UV mutagenesis data that is inconsistent with this hypothesis. Contrasting these previous results, we observe multiple sets of chromosomes in spores of both B. cinerea and N. crassa. We also observed a strong linear relationship between the number of nuclei in spores and the total acriflavine fluorescence, further supporting mitotic copies. Genome sequencing of colonies arising from UV-irradiated colonies also recovered variants at intermediate frequences, instead of the fixed 100% expected from the new model proposed. This evidence suggests that, as long suspected, these nuclei are indeed mitotic copies, and that a re-evaluation of fungal biology is not currently necessary.

BackgroundPangenomes are a promising new approach to genomics that can reduce reference bias in genotyping, but the reliability of such a data model remains unclear in tracking variation across species. To test the utility of graph-based pangenomes for interspecific breeding, we developed a Minigraph-Cactus super-pangenome representing four Citrus species derived from the founder lines of a citrus breeding program. To benchmark SNP calling accuracy using graph and linear-based approaches, we performed whole genome short read sequencing for two sets of pedigreed progeny: 30 F1 hybrids and 244 advanced hybrids from an F1 crossed with a parent not included in the pangenome. ResultsThe linear approach yielded more SNP calls than the graph-based approach, however, both methods exhibited similar Mendelian Inheritance Error Rates (MIER) in a tool-dependent manner. Reconstruction of parental haplotype blocks in the advanced hybrids revealed a striking improvement in performance in the pangenome graph-based calls, suggesting MIER is vulnerable to error when reference bias influences both parental and progeny genotype calls. Masking of regions diverged from the reference path improved MIER accuracy metrics and haplotype block reconstruction in both the linear and graph-based SNP calls. ConclusionsIn non-model systems, inheritance patterns observed from pedigreed hybrids provide a framework for benchmarking variant-calling accuracy using pangenomes. SNP miscalls originating from diverged regions can falsely satisfy MIER filters, thus we recommend haplotype blocks. The inherent structure of the pangenome graph has promising applications for removing regions of unreliable mapping quality, which cannot otherwise be reliably removed using traditional filtering metrics.

Stripe rust and leaf rust, caused by Puccinia striiformis f. sp. tritici and P. triticina, respectively, are the most destructive wheat diseases in the southern Great Plains. Green Hammer is a hard red winter wheat (HRWW) cultivar released by Oklahoma State University in 2018 and has demonstrated a stable adult plant resistance to stripe rust and race-specific seedling resistance to leaf rust. To identify and map rust resistance loci, 109 doubled haploid (DH) lines derived from the cross between Green Hammer and another HRWW cultivar, Lonerider, were developed. Lonerider showed adult plant resistance to stripe rust but was susceptible to multiple P. triticina races. The DH lines were evaluated for stripe rust at the adult plant stage in greenhouse and field environments across Oklahoma, Kansas, and Washington, and for leaf rust at the seedling stage against seven U.S. P. triticina races and at the adult plant stage in Oklahoma and Texas. Genotyping-by-sequencing generated 6,078 polymorphic single-nucleotide polymorphisms used for genetic mapping. Quantitative trait loci (QTL) analysis identified 14 stripe rust and 8 leaf rust resistance QTL. For stripe rust, a major QTL in Green Hammer, QYr.osughln-2AS, was identified in the proximity of the 2NvS translocation. Three other major stripe rust resistance QTL were identified in Lonerider on chromosomes 2AL (two QTL) and 2BS (one QTL). For leaf rust, QLr.osughln-1DS and QLr.osughln-2DS.1 were the two major QTL identified in Green Hammer and most likely correspond to the all-stage resistance genes Lr21 and Lr39, respectively. In this study, we identified previously characterized genes as well as unknown genes that can be utilized in wheat breeding programs to enhance resistance to leaf rust and stripe rust.

Successful colonization of the wheat apoplast requires that Zymoseptoria tritici tolerate host-derived stresses, but the mechanisms underlying this adaptation remain poorly understood. We combined phenotypic assays, transcriptomics, and genome-wide association analyses to characterize fungal responses to acidic pH, salicylic acid, gibberellic acid, and oxidative stress. Exposure to salicylic acid inhibited in vitro growth across a global collection of 411 Z. tritici strains, whereas acidic pH promoted growth, illustrating contrasting effects on pathogen performance of environments simulating host-defense responses. At the transcriptional level, acidic pH and oxidative stress induced the strongest and most similar responses, while salicylic acid elicited a more distinct transcriptional program and gibberellic acid caused only limited transcriptional changes. Although the sets of differentially expressed genes were largely condition specific, overlapping enrichment of transport- and redox-related functions across conditions indicated shared transcriptional responses. K-mer based genome-wide association mapping identified five candidate loci associated with growth under acidic pH, gibberellic acid and salicylic acid, including four loci specific to a single growth condition. These loci colocalized with genes implicated in cell wall remodeling, nitrogen metabolite regulation, proteostasis, and ubiquitin-related processes. This study highlights the multifaceted strategies employed by Z. tritici to navigate environments simulating host-defense responses, involving shared and environment-specific adaptations. We provide new insights into the genetic and molecular basis of fungal resilience, with implications for understanding pathogen-host interactions.

Fungi play central roles in terrestrial ecosystem functioning and are the major decomposers of dead wood in forest systems. Wood decay fungi are adapted to growth and decay under different environmental conditions, but we have limited insight into the intraspecific variability in fungal growth and decay. In Fennoscandia, there are two genetically and ecologically distinct ecotypes of the wood-decay fungus Meruliopsis taxicola: a northern Continental ecotype associated with Norway spruce (Picea abies) growing in moist old-growth forests, and a southern Coastal ecotype growing on Scots pine (Pinus sylvestris) in harsher habitats. The two ecotypes hybridize in a narrow contact zone running through Fennoscandia. Here, we investigate the level of adaptation the two ecotypes show in phenotypic traits, and how hybrid isolates perform as compared with the parental genotypes. We performed in vitro experiments to quantify mycelial growth rate under varying temperature and drought conditions, as well as decomposition of the two substrates, Scots pine and Norway spruce. Isolates of the Continental ecotype exhibited generally higher growth rates in all environments and caused higher mass loss of both substrates. This is consistent with a more competitive life history strategy in the Continental ecotype, whereas Coastal isolates showed adaptions indicative of greater stress tolerance. Hybrid isolates displayed largely intermediate growth responses relative to the parental ecotypes. Together, these results reveal clear phenotypic divergence between M. taxicola ecotypes consistent with contrasting life-history strategies.

Genomic imprinting is a rare epigenetic phenomenon in plants and animals, defined by parent-of-origin specific gene expression. Its molecular mechanisms and evolutionary significance remain incompletely understood. In this study, we investigated whether genomic imprinting occurs in Scots pine and, by extension, in other conifers to gain insight into the evolutionary origins of imprinting. We performed reciprocal crosses to assess imprinting in seed embryos and applied a unique approach that used exome-capture data from the haploid, maternally inherited megagametophyte tissue to identify maternal alleles, thereby allowing us to infer paternal alleles in the embryos of the same seeds. Our findings show that maternally inherited haploid megagametophyte tissue offers an effective strategy for resolving parental alleles in offspring while simultaneously removing extensive paralogous variation from the dataset. This framework is broadly applicable to other conifer species and to taxa that possess comparable maternally derived haploid tissues. No evidence of genomic imprinting was detected. Although the limited overlap between the exome-capture and RNA-sequencing datasets and the stringent paralog filtering reduced the amount of analyzable data considerably, the absence of detectable imprinting may also reflect genuinely weak or absent imprinting signals in conifers. We identified several limitations in this preliminary study and outline recommendations for future work to overcome them, and additional research will be necessary to determine whether genomic imprinting occurs in conifers

In quantitative genetics, candidate SNPs are identified through genotype-phenotype associations inferred with genome-wide association studies (GWAS). In this study, we explore an alternative approach to detect genetic variants with non-neutral effects by tracking temporal trends in allele frequency in a winter wheat (Triticum aestivum L.) breeding population over an eight-year period, from which signals of selection may be inferred. Selection signatures were inferred with a generalized linear model, where we modeled trends in allele frequency as a function of time (crossing year). These signatures of selection were used to prioritize variants. Associations between phenotypic performance and individual load of prioritized variants were then investigated. Furthermore, we assessed whether incorporating selection information into a genomic best linear unbiased prediction (GBLUP) model improves model performance in terms of quality of fit and prediction ability. Our findings indicate that the inferred signals of selection are effective in identifying non-neutral variants. Variants under strong negative selection were associated with a decrease in protein content adjusted for grain yield (p-value < 0.01), while genetic variants that had been under moderate to high levels of positive selection were associated with increased grain yield (p-value < 0.01). However, incorporating selection information did not improve prediction accuracy. In conclusion, temporal trends in allele frequency can be used to detect non-neutral variants. The proposed approach may hence complement traditional quantitative genetic methods for detecting non-neutral genetic variation. This approach may allow breeders to detect non-neutral variants earlier in the breeding cycle, without resorting to phenotypic data.

Maximum utilization of existing genetic variability in a breeding program depends on the efficient classification of the inbred lines into heterotic groups, particularly under stress conditions. This study applied practical breeding approaches to determine the mode of genetic inheritance for Striga resistance and proposes a weighted heterotic grouping method based on the general combining ability of multiple traits (WHGCAMT) and compares its effectiveness with other existing methods in classifying the inbred lines into heterotic groups in Striga-infested and optimum environments. Using Diallel design IV, 300 crosses were generated from 21 inbred lines and 4 standard testers. The crosses, along with six checks, were evaluated in an 18 x 17 alpha lattice design with two replications at two locations, in both artificial Striga-infested and Striga-free environments. The inbred lines were genotyped using DArTtag SNP markers. Phenotypic and genotypic data were analyzed using R. Analysis of variance revealed significant mean squares for hybrid, general combining ability (GCA), specific combining ability (SCA) and their interactions with environment. Significant positive and negative GCA and SCA effects were detected for grain yield and other measured traits. However, a larger proportion of additive gene action than non-additive gene action was observed for grain yield and most measured traits. The analysis of molecular variance also showed substantial genetic differences within and between clusters. Except for HSCA, the mean grain yield between the inter-group and intra-group hybrids was significant for each method. Pairwise comparison of the inter- and intra-group hybrids of all the methods showed significant differences between the WHGCAMT and all other methods in most cases. WHGCAMT consistently produced higher-yielding inter-group hybrids and lower-yielding intra-group hybrids, achieving breeding efficiency improvements of 55.8%, 4.3%, 15.7%, and 11.4% over the HSCA, HSGCA, HGCAMT and molecular marker methods, respectively, under Striga infestation. Thus, WHGCAMT offers more precise, reliable and biologically meaningful heterotic groups among early-maturing maize inbred lines.

Dutch elm disease (DED) has killed millions of field elms (Ulmus minor) in Britain and Europe since the 1970s, causing incalculable damage to landscapes and their associated biodiversity. While the species U. minor is highly susceptible to DED, some east Asian and Himalayan species of elm are resistant. These Asiatic species differ in their growth and form to U. minor and cannot fully substitute for it in the landscape. Several breeding programmes have attempted to generate trees that combine DED-resistance with the growth and form of U. minor via hybridisation and back-crossing. These have been partly successful, but further breeding is needed to fully realise these ambitions. Most recently in Britain, a complex resistant hybrid Wingham (FL493) was crossed with a surviving U. minor tree in Tonge Mill, Kent. Sixty progeny from this cross were tested for field resistance to DED and show segregation for this trait. Here, we analyse the genome of these progeny in order to: (1) construct a linkage map of the elm genome, and (2) identify regions of their genome derived from east Asian and Himalayan species that could be associated with DED-resistance. Such knowledge could accelerate future breeding programmes and enhance our understanding of the mechanistic basis of resistance.

Wheat take-all is a root disease which devastates crop yields, caused by the ascomycete fungus Gaeumannomyces tritici. The closely related root endophyte, G. hyphopodioides, has been found to induce local host defence responses which confer protection against take-all and reduce disease severity. Chancellor et al. (2024) investigated host transcriptional response to early colonisation by each of these two fungi. Using this RNA-seq dataset in conjunction with newly available Gaeumannomyces reference genomes, we have completed the picture by characterising the fungal transcriptional activity underpinning these different lifestyles. Even at early time points, their transcriptional profiles differ: G. hyphopodioides shows signs of transcriptional reprogramming between 4 and 5 days post inoculation (dpi), mirroring the wheat response, whereas G. tritici expression varied very little between these two time points despite progressing into the vasculature, instead exhibiting a stealthy expression profile dominated by gene downregulation at earlier time points. Moreover, GO term enrichment in this study identified a stress-response unique to G. hyphopodioides, which may explain the formation of its subepidermal vesicles (SEVs), putative resting structures that are a key difference between the pathogen and non-pathogen, alongside upregulation of many putative effectors and CAZymes. The enrichment of a key lignin-degrading CAZyme may contribute to the lack of stress-response identified in G. tritici, allowing fungal hyphae to overcome localised host lignification. These findings highlight the transcriptional basis of colonisation differences and are a step towards understanding how closely related fungi with different lifestyles modulate their interactions within a common host and tissue.

Purine moieties are essential for many functions within the eukaryotic cell, including energy, signaling and nucleic acid synthesis. While purine starvation is known to induce stress resistance in eukaryotic model organism budding yeast Saccharomyces cerevisiae, it remains unclear whether the physiological response is related to disruption of synthesis pathway in particular position or it is uniform across all genetic deficiencies within the de novo adenine biosynthesis pathway. It is also not known how purine starved cells perceive purine shortage - weather they share the same signaling elements with nitrogen starvation or not. MethodsWe characterised physiology of strains with deletions in adenine biosynthesis pathway when cultivated in full or purine deficient and compared to cell physiological parameters when cultivated in nitrogen deficient media. We tested stress tolerance, carbon flux, cell cycle arrest and did transcription profiling (RNA-seq). ResultsOur findings demonstrate that purine starvation-induced stress resistance is significantly modulated by the specific step at which the pathway is interrupted. Transcriptional analysis revealed that purine starvation in many aspects phenocopies nitrogen starvation, particularly - in both starvations strong downregulation of ribosome related genes occurs. In the same time several metabolic features which differ from N- and ade- starvations: pentose phosphate pathway is specifically upregulated within ade4{Delta}-ade2{Delta} and downregulated in N-cells. Notably, the expression of stress-responsive genes such as HSP12, HSP26, and GRE1 varied between mutants, suggesting that the accumulation of pathway intermediates (e.g., AIR in ade2{Delta}) or the absence of downstream precursors (AICAR) alters the perception of starvation especially in the case of ade16{Delta}ade17{Delta} strain. ConclusionsMetabolic and stress-tolerance phenotypes of purine auxotrophs are not merely a result of purine depletion but seems that the response is signalled via the same pathways, like TOR1. The results suggest that strains having mutations within various positions of the purine pathway "perceive" purine limitation a bit differently - especially when we compare the end of the pathway with the other mutants. Different phenotypic outcomes of the occasional purine depletion might give preferences for organisms which have mutations in the beginning rather at the end of the pathway. Besides, our findings might have implications in the design of synthetic pathways and the use of auxotrophic markers in yeast research.