Uncovering the history of recombination and population structure in western Canadian stripe rust populations through mating type alleles
BMC Biology volume 21, Article number: 233 (2023)
The population structure of crop pathogens such as Puccinia striiformis f. sp. tritici (Pst), the cause of wheat stripe rust, is of interest to researchers looking to understand these pathogens on a molecular level as well as those with an applied focus such as disease epidemiology. Cereal rusts can reproduce sexually or asexually, and the emergence of novel lineages has the potential to cause serious epidemics such as the one caused by the ‘Warrior’ lineage in Europe. In a global context, Pst lineages in Canada were not well-characterized and the origin of foreign incursions was not known. Additionally, while some Pst mating type genes have been identified in published genomes, there has been no rigorous assessment of mating type diversity and distribution across the species.
We used a whole-genome/transcriptome sequencing approach for the Canadian Pst population to identify lineages in their global context and evidence tracing foreign incursions. More importantly: for the first time ever, we identified nine alleles of the homeodomain mating type locus in the worldwide Pst population and show that previously identified lineages exhibit a single pair of these alleles. Consistently with the literature, we find only two pheromone receptor mating type alleles. We show that the recent population shift from the ‘PstS1’ lineage to the ‘PstS1-related’ lineage is also associated with the introduction of a novel mating type allele (Pst-b3-HD) to the Canadian population. We also show evidence for high levels of mating type diversity in samples associated with the Himalayan center of diversity for Pst, including a single Canadian race previously identified as ‘PstPr’ (probable recombinant) which we identify as a foreign incursion, most closely related to isolates sampled from China circa 2015.
These data describe a recent shift in the population of Canadian Pst field isolates and characterize homeodomain-locus mating type alleles in the global Pst population which can now be utilized in testing several research questions and hypotheses around sexuality and hybridization in rust fungi.
Puccinia striiformis f. sp. tritici, the cause of stripe or yellow rust disease, is one of the five most important wheat pathogens in Canada and several epidemics of the disease impacted wheat production over the last two decades . Efforts to understand virulence phenotypes are ongoing [2,3,4,5] while genetic population structure studies [6, 7] were limited in the Canadian landscape. Studying the genetic population structure of the pathogen in a global context is important because rust pathogen propagules can easily spread from one country to another with wind currents and even inter-continental spread in wheat rusts is reported . Presence of foreign incursions of P. striiformis f. sp. tritici races in Canada has been speculated  but no study presented evidence of such incursions or information on origin of such incursions. While our research group studied the genetic population structure of Canadian P. striiformis f. sp. tritici populations, we utilized our generated and publicly available genomic resources to characterize mating type alleles in the global pathogen population. Mating type alleles in rust pathogens remain largely uncharacterized and no study has yet utilized mating type alleles in answering biological questions relating to sexuality or population biology.
Mating in basidiomycete fungi such as rusts, smuts, and agaricomycotina depends upon a variety of factors including the development of sexual macrostructures at a certain life cycle stage, environmental cues, chemical signalling between individuals, and genetic compatibility. From a genetic perspective, non-self-recognition to facilitate mating in rusts is controlled by two unlinked loci: P/R (sometimes called a and equivalent to the B locus in agaricomycotina) and HD (sometimes called b and equivalent to the A locus in agaricomycotina). The P/R locus encodes pheromone precursors (mfa) and receptors (Pra) which must be compatible in order for prospective mates to signal to one another and initiate syngamy. The HD locus encodes two homeodomain genes (bW-HD1 and bE-HD2) which need to be of different allelic specificity in each mate in order for their protein products to form heterodimeric bW/bE homeodomain transcription factors which regulate cellular development during mating, and subsequent fungal life cycle stages including maintenance of the dikaryotic state and controlling pathogenicity in various smuts and rusts [9,10,11,12,13]. In some basidiomycota, the P/R and HD loci have become linked, leading to a bipolar rather than tetrapolar mating type . In other cases, the alleles no longer discriminate against self-fertilization or are not required for mating, leading to a bipolar or even unipolar mating type . So far, all characterized cereal rust fungi are tetrapolar [11, 15], including P. striiformis, but most species in the genus have not had their mating loci characterized and in the wider Pucciniomycotina there are multiple examples of bipolarity [11, 12].
The biochemical and genetic mechanisms of pheromone signalling at the P/R locus are complex and have been more extensively characterized in the Agaricomycotina and Ustilagomycotina [11, 16,17,18]. A number of models for the locus in Puccinomycotina exist, most recently reviewed in , but overall: two discrete cells must carry complementary pheromones and receptors in order to initiate syngamy. In three wheat rust pathogens, i.e. P. triticina, P. graminis f. sp. tritici, and P. striiformis f. sp tritici, three Pra receptor genes belonging to the STE3 family have been identified with STE3.2-1 likely being a non-mating type receptor, and STE3.2-2 and STE3.2-3 the likely mating type pheromone receptors and hence nucleus / haplophase-specific . Additional short (<200 bp) genes speculated to encode pheromone precursors (mfa) have been identified but their role is poorly characterized. In well-assembled genomes, the mfa2 gene appears well-conserved and is located in proximity to STE3.2-2, whereas mfa1 and mfa3 are associated with STE3.2-3 and may not always both be present . The three STE3 genes in different species consistently segregate when organized using phylogenetic methods, clustering with their orthologues and not their paralogues from the same species. Where sequence information from multiple isolates is available, additional STE3.2 alleles in rusts have not been identified, leading to the hypothesis that the three genes collectively comprise two complementary alleles, one of which is inherited with each haplotype, and one, STE3.2-1 is found in either haplotype. In this model, any dikaryotic rust cell will encode both P/R alleles, and haploid germ cells will have a 50% chance of being compatible with another germ cell.
The HD locus encodes a pair of homeodomain genes: bW-HD1 and bE-HD2 which are necessary for proper development of a viable, pathogenic fused dikaryon . In Pucciniales spp., the genes are ~1800 and 1200 bp in length, with two and one introns respectively, encoding ~600 and ~400 amino acid length proteins . Each protein exhibits three domains: at the N terminus, a Variable domain, a central structured Homeodomain, and a Constant domain at the C terminus. bW-HD1 and bE-HD2 are entirely dissimilar on an amino acid (AA) level, except for some (~50% AA similarity) in the homeodomain region. Evidence from heterologous systems indicates that the two gene products physically associate in the cell and act via DNA-binding activities of the homeodomain [18,19,20]. The mechanism for non-self-recognition is that variable domains of the same mating type prevent dimerization. Experiments with chimeric variable domains indicate that a relatively small alteration to the variable domain is enough to permit interaction [21,22,23]. Without the dimerized proteins, mating will not produce viable dikaryotic hyphae; the normal cellular growth process cannot proceed without this dimer active within the nucleus. In P. triticina, at least nine mating types have been identified (Guus Bakkeren, personal communication). Analysis of the published genome assemblies of P. striiformis f. sp. tritici identifies two alleles of each Pst-bW-HD1 and Pst-bE-HD2 in each genome on chromosome 4, although these are not always present in the published assemblies, and five distinct alleles of each Pst-bW-HD1 and Pst-bE-HD2 in total, with the P/R locus being on chromosome 9 and the related non-P/R gene STE3.2-1 present on chromosome 1 . It has been hypothesized that maintenance of a plurality of mating types is evolutionarily unfavourable without selection pressure to maintain outcrossing in sexual reproduction [10, 24, 25]. Loss of mating type diversity through translocation to collapse HD and P/R into a single locus, as well as recombination events leading to self-fertility have both been observed in a number of related basidiomycete fungi [10, 11]; however, thus far the Pucciniales all exhibit maintenance of this system.
In cereal rusts, sexual recombination on the alternate host through pycniospores is known to occur regularly in Puccinia coronata , and Puccinia graminis  and has been shown to be possible in other species such as Puccinia striifrormis, and Puccinia triticina [28, 29]. Asexual reproduction, however, is the dominant mode of reproduction for studied P. striiformis populations, and most sampled isolates belong to genetically distinct clonal lineages. Rust fungi can also engage in somatic hybridization: a form of reproduction in which nuclei from multiple colonies are exchanged through somatic cells, giving rise to offspring with DNA from both parents . The Ug99 race of Puccinia graminis was shown to be the product of somatic hybridization , as well as the 19NSW04 isolate of Puccinia triticina  and laboratory tests in many rust species have shown that the non-sexual progeny of co-cultivated admixtures on the primary host can exhibit segregation for traits which can only be explained by somatic hybridization. There is evidence to support multiple overlapping mechanistic pathways for genetic novelty here . At one extreme, there is no exchange between haploid nuclei, and so entire haplotypes are inherited with no recombination or reassortment between chromosomes. This leaves a distinctive genomic signature which can be identified from modern chromosome-scale phased genomes, and was observed with the Ug99 Puccinia graminis lineage as well as the 19NSW04 isolate of Puccinia triticina. There is also evidence, however, of post-hybridization mitotic exchange in some cases of somatic hybridization, and even of pre-hybridization karyogamy as in the Puccinia triticina isolate Pt64 . In this final case, there may be little to distinguish sexual and somatic hybridization after the fact. In this paper, we use somatic hybridization as an all-encompassing term for reproduction via the fusing of somatic cells from genetically distinct organisms, and parasexuality particularly to forms of somatic hybridization which exhibit some traits of sexual recombination such as crossing over or assortment of chromosomes from separate parent nuclei. This contrasts with heterokaryosis in which one nucleus is inherited intact from each parent. In all known cases, the progeny must carry complimentary mating type alleles as these are essential for normal cell cycle maintenance, and may regulate the interactions between nuclei during parasexual and heterokaryotic reproduction as well as sexual reproduction.
The concept of lineage in cereal rusts originates in the observation that in most studies the pathogen population is dominated by asexual descendants from a limited number of founder isolates, with genetic variation coming from mutations [34, 35]. Pst lineages are often formatted PstS[n], although other descriptive systems exist. Not all samples have been or can be placed into a lineage. Without multiple samples of the same lineage to experiment with, there is no way to characterize the group, and not all individuals are successful in reproducing from year to year, so sometimes a novel isolate will be partially described and then disappear. Sometimes multiple scientists will describe the same lineage, and only realize it after comparable genomic data is shared between them.
Within this context, categorizing P. striiformis f. sp. tritici mating types worldwide might give clues as to the evolutionary history of particular P. striiformis f. sp. tritici lineages as a change in mating type away from expected within a lineage is an indication of non-asexual reproduction without the need for phased genome assembly and haplotype calling between related isolates. Using publicly available sequencing data from over 350 global P. striiformis f. sp. tritici samples, as well as from 35 Canadian isolates sequenced for this study, we identified nine distinct P. striiformis f. sp. tritici HD mating type alleles, and find that mating type combination can be easily assessed from whole genome/transcriptome sequence data, and corresponds 1:1 with genetic lineage for all of the five characterized PstS lineages assessed, as well as two clonal lineages from Europe and western Africa. In addition, we detect three population groups which exhibit multiple circulating mating types and do not show characteristics of being a clonal lineage descended from a single parent, in agreement with earlier work characterizing the global Pst population [7, 34, 36]. Finally, we connect a recent shift in the northern American P. striiformis f. sp. tritici population to the appearance of a novel mating type pair, suggesting that the PstS1-related lineage of P. striiformis f. sp. tritici is the product of a recent recombination event between PstS1 and other existing lineages.
In order to characterize the history of recombination in the Canadian population of P. striiformis f. sp tritici, we first identified the set of alleles present at the HD locus across a global dataset. The global dataset consists of 332 previously published RNAseq and gDNA datasets including 17 Canadian samples, and 45 RNAseq datasets derived from samples taken from commercial crop fields in Canada and sequenced in this study. Mating type genes were identified and characterized using de novo assembled transcriptomic data derived from a variety of samples representing diverse lineages of P. striiformis f. sp. tritici (Additional File 1).
A total of nine alleles for each of Pst-bW-HD1 and Pst-bE-HD2 were identified, encoding proteins of 593–602 amino acids, and 422–441 amino acids in length, respectively (Fig. 1, Additional File 2). All alleles encode seemingly functional proteins with the same predicted structure as other basidiomycete HD loci: an N-terminal Variable domain, a central Homeodomain, and a C-terminal Constant domain. The Homeodomain is the only domain with a predicted structure; the other domains are disordered. While the Pst-bW-HD1 and Pst-bE-HD2 coding sequences (CDS) have an average within-group pairwise nucleotide identity of 80.3 and 78%, respectively, their translated proteins are less well-conserved (77.7 and 75.2%). In all cases, the Variable domain has the lowest similarity between any two alleles, usually <60%. The Pst-bW-HD1 and Pst-bE-HD2 alleles do not share any meaningful identity outside of the Homeodomain. No indications of recombination between alleles were identified. For example, the Pst-bW2-HD1 allele was always accompanied by a Pst-bE2-HD2 allele, and the same for each other allele pair. Pst-b1-HD is unique in that a sub-variant, termed Pst-b1*-HD, was also identified, sometimes replacing only one of Pst-bW1-HD1 or Pst-bE1-HD2 and sometimes replacing both. The sub-variant is identical in the variable region, but contains 12/36 and 17/41 SNP/amino acid polymorphisms in the other domains relative to Pst-bW1-HD1 and Pst-bE1-HD2, respectively. We are unable to conclude if mating types Pst-b1-HD and Pst-b1*-HD are capable of mutual discrimination; however, it seems exceedingly unlikely given both experimental work in Ustilago maydis showing that the variable domain is the primary determinant of non-self-recognition and the lack of an exclusively Pst-b1-HD + Pst-b1*-HD mating type anywhere within the dataset .
Having identified the alleles present across this population, we then assessed all available nucleotide datasets for allele presence/absence by searching each dataset for k-mers contained within each allele. Nearly all samples (N=345/386) exhibited k-mer signatures for exactly two HD alleles. Datasets containing signatures of more than two alleles (N=18/386) are believed to be admixtures of more than one isolate or the result of sequencing error, while samples with fewer alleles (N=23/386) could represent as-yet uncharacterized alleles or simply low sequencing depth of one allele in the dataset (or both).
We also applied this approach to the P/R locus. The STE3 (Pra) family of hormone receptor encoding genes and the mfa family of hormone precursors have been characterized as determining a-locus specificity. Previous work identified three STE3 family genes in rusts: STE3.2-1, STE3.2-2, and STE3.2-3. STE3.2-2 and STE3.2-3 are most closely related to one another and are hypothesized to be biallelic receptor components of this mating locus, which each complement an mfa-derived hormone. STE3.2-1 is thought to exhibit minor SNPs across isolates but not to the degree of presenting as distinct genes, as well as being present on a separate chromosome. We identified all three STE3.2 genes in the Pst-130 datasets [37, 38]; however, STE3.2-1 did not appear in any available transcriptome data, and we conclude that it is not expressed, or not expressed at a high level in either infected leaves or non-germinated urediniospores. STE3.2-2 and STE3.2-3 both appeared in the nucleotide data from nearly all isolates (Additional File 3: Figure S1). STE3.2-1 was detected in genomic data from all isolates in which gDNA sequencing was performed. All P. striiformis f. sp. tritici samples in this analysis, therefore, share the same biallelic mating types at the P/R-locus. Isolates where STE3.2-2 and STE3.2-3 could not be identified did not contain any other observable STE3 sequence, or any HD sequence, indicating that these samples are likely to represent incompletely sequenced isolates rather than novel mating type specificities. Interestingly, while STE3.2-2 and STE3.2-3 are only 50% similar at the nucleotide level, and both are present in the raw reads of all genomic samples, BLASTn search of older assembled genomes were only able to identify at most one of these two genes intact, in addition to STE3.2-1. The most up to date phased genome (Pst 134E) successfully assembled all three STE3 genes. In no cases were any STE3 genes identified on the same genomic contig, unlike HD genes which are always found as a pair in head-to-head orientation. Collectively, these results support the model that the STE3.2-2 and STE3.2-3 genes are a biallelic pair and that their genomic loci may be collapsed by some assemblers.
Having assessed mating types across the global P. striiformis f. sp. tritici population, we incorporated this data into a more conventional phylogenomic approach to assessing P. striiformis f. sp. tritici population structure. In brief, sequence data (RNA and gDNA) was aligned to the reference Pst-130.v2 genome [37, 38], and assessed for intragenic SNPs which were used to construct a maximum-likelihood tree that could be supplemented with HD allele data (Fig. 2, Additional file 4). This analysis was reinforced by using STRUCTURE  to identify likely genetic groups from the same intragenic SNP data, and cross-referencing these groups with the clades apparent on the tree. Similar to the work of Radhakrishnan et al. [36, 40], when using a global dataset, STRUCTURE was unable to resolve the more fine-grain distinctions between some closely related sub-clades apparent on the tree. However, taking the first-order clades and repeating the analysis successfully replicated the genetic groups apparent from the phylogeny (Fig. 3). Groups in our global phylogeny of P. striiformis f. sp. tritici form into two categories: clades descended from a single founder isolate, which represent a single, characterized clonal population such as PstS7/Warrior or PstS0, and population groups which contain a number of related isolates showing signs of admixture and which cannot be said to descend from a single isolate such as isolates sampled in China and Eastern Africa and India. Where a group neatly bounds around a previously described clonal lineage, we have annotated the group with that lineage, and where it does not, we have described the origin of the samples within the group. Of note is clade PstS0, which describes an extremely old lineage of circulating rusts and so while it can be considered a single clonal population, the individuals within that population exhibit far more intra-clade diversity than, for example, PstS7/Warrior which emerged in 2011. European group 4 refers to a group identified in  which we do not believe has a PstS designation. In that same paper, PstS7 corresponds to European group 1, and PstS8 to European group 5-1. In addition to short branch lengths and an unbalanced node structure indicating an asexual/clonal population structure in these clonal lineages, each exhibit only a single pair of mating type alleles throughout. Interestingly, European Warrior (PstS7) samples and older European samples, despite forming two robust and entirely distinct phylogenetic clades, each exhibit identical Pst-b2-HD + Pst-b9-HD mating type alleles, while Kranich (PstS8) samples which emerged contemporaneously to Warrior and are most closely related to Warrior exhibit Pst-b5-HD + Pst-b6-HD mating type alleles.
Three groups were not defined by a single clonal lineage, but rather collected from geographic regions of high diversity and clustering together, specifically those originating in China, eastern Africa and India, and Pakistan exhibit more mating type diversity with at least seven different HD alleles present in these clades in addition to longer within-group branch lengths and more evenly balanced nodes, indicating that recombination between isolates may be common in those regions. Relative to the large sample size of mostly clonal European and North American populations, it is likely that a substantial portion of P. striiformis f. sp. tritici diversity in these regions exists awaiting analyses, especially as these sample groups each only cover a short span of time (for example Chinese isolates were collected from 2015 to 2018). Two samples (W056 and USA 15.0349) in the ‘China’ group were not sampled within China and appear to represent isolates which spread into North America but were not successful enough to become established long term.
An additional finding of our work is that samples tended to cluster together based on their sequencing manner, i.e. gDNA samples within the PstS1 clade cluster together relative to RNAseq samples from that same group indicating an unresolved systemic bias in tree construction (highlighted in Fig. 2, and detailed in Additional file 1). A tree constructed using RNAseq samples alone (Additional file 5) has the same clade topology as Fig. 2. The two trees have an edge similarity of 77%, going to 89% when only nodes with 80% or higher bootstrap support are considered: indicating that the overall clade assignment is sound, but that within-group comparisons of RNA and gDNA samples should be undertaken cautiously. We were not able to conclusively resolve the reasons for this discrepancy, but DNA samples exhibited a higher rate of heterozygous SNPs (88% s.d 1.9% ) than RNA samples (80% s.d 1.7%), possibly due to nucleus specific expression in mRNA giving the illusion of more homozygous SNPs and leading to longer branch lengths for RNA samples.
Having established the distribution of HD locus mating types across our datasets, and having placed them in the context of the global P. striiformis f. sp. tritici population, we investigated the North American P. striiformis f. sp. tritici population specifically. Up until now, analyses of North American P. striiformis f. sp. tritici lineages have grouped Canada and the USA into a single locale, reflecting their large land border and similar climates along each side of the border and due to the fact that stripe rust inoculum in Canada arrives from the USA via the ‘Puccinia pathway’ or wind trajectories along Pacific Northwest . The very first incursion of P. striiformis f. sp. tritici to North America was in the early 1900s from Western Europe and so-called old races belong to the PstS0 lineage which was restricted to regions west of the Rocky Mountains or southern Alberta. A very small number of isolates from North America were grouped in the PstS0 clade (Fig. 2) indicating the lineage is present in North America, which is expected. The other predominant lineage in North America is PstS1 and several isolates from the USA, Canada, Ethiopia, and Kenya were found to be part of this lineage. Prior to 2000, stripe rust was not a disease of concern to growers in Canada (except for southern Alberta); however, epidemics in 2000 and 2001 fueled by incursions (from eastern Africa) of races of the PstS1 lineage to the USA and then to western Canada (via the ‘Puccinia pathway’ along the Great Plains) led to the disease becoming endemic by 2000–2001 [5, 7]. For the last decade, the majority of northern American P. striiformis f. sp. tritici isolates were believed to be PstS1 lineage, with PstS0 lineage races failing to outcompete this lineage [34, 36]. However, contrary to this belief and published literature, the majority of the North American races/isolates after 2015 belong to the distinct PstS1-related lineage and not PstS1. PstS1-related isolates were only detected in the USA and Canada unlike other lineages which are also present outside North America (Fig. 2). Other than PstS0, PstS1, and PstS1-related lineages, a single Canadian isolate W056/T210 grouped phylogenetically with the Chinese group of isolates, which is otherwise most closely related to the PstS7/S8 (Warrior/Kranich) lineages. In our previous study , W056/T210 was named ‘PstPr’ lineage (Pr: probable recombinant) and it was proposed that the lineage is a foreign incursion (due to high telia production ability and close genetic relatedness to PstS7/S8 isolates). The PstPr lineage was not successful at establishing itself in North America however , and no further samples with this unusual configuration have been detected. In the present study, we find that this race/isolate is genetically closest to isolates which were circulating within China in 2015, and share a single mating type allele. Given the lack of relatives sharing both mating types / haplotypes and its high telia production , it is possible that W056 was the result of a recent recombination event between a related Chinese lineage and North American lineage.
The HD locus mating type pair in PstS1 is Pst-b1-HD + Pst-b2-HD, but in PstS1-related samples the mating types are Pst-b1-HD + Pst-b3-HD. It seems likely that the PstS1-related clade is the result of fusion between a PstS1 individual and an individual from another clade with the Pst-b3-HD mating type; introducing genetic novelty into the North American population and founding a closely related sister clade to PstS1. As of yet, we have insufficient data to evaluate whether this fusion was sexual, parasexual, or heterokaryotic by interrogating for synteny between the chromosomes of PstS1-related individuals and a PstS1 individual. The older PstS1 clade is in fact more closely related to samples taken in the south of Africa than to the PstS1-related clade, as evidenced by their positioning in Fig. 2, their shared mating types, and STRUCTURE analyses which indicate that while they are distinct populations, they share substantial genetic overlap (Figs. 2 and 3). Indeed, when American and southern African samples are compared directly in STRUCTURE, K=5 identifies the PstS1, PstS1-related, southern African, and eastern African and Indian groups as separate clades, while a K>5 continues to describe these same clades but identifies PstS1 and southern African samples as having a substantially shared genetic background (Additional File 3: Figure S2). These southern African samples date from 2014 to 2020, and as well as forming their own well-supported clade, and STRUCTURE group, share the common feature of at least one Pst-b1*-HD allele. As mentioned previously, this is the only example we found of a Pst-b-HD allele with substantial shared nucleotide and amino acid identity to another in the variable domain, and it is likely that one is a recently diverged variant of the other which has become widespread simply by being carried by the dominant asexual lineage in this region. Two interesting implications of this result are that the spread of this recent variant can be tracked by this single genetic marker alone and that these loci are not exclusively experiencing purifying selection pressure despite the lack of variation identified in other alleles.
Other than lineages detected in the North American P. striiformis f. sp. tritici population, our phylogenetic analyses supported a very diverse group of isolates originating mainly in China which the Warrior (PstS7) and Kranich (PstS8) lineages are derived from, a similar group originating in Pakistan, an unrelated group with samples from India and Eritrea (eastern Africa) including Pst Race K and Pst Race 21, and a western European lineage: Group 4 which appears to be a sister to the PstS0 lineage in a similar manner to PstS1 and PstS1-related, with each group sharing a single Pst-b-HD allele (Pst-b3-HD). The final clade, forming an outgroup on the tree is the Psph group (Puccinia striiformis f. sp. pseudo-hordei) which consists of samples collected from foxtail barley grass (Hordeum jubatum) as well as the reference genome for Puccinia striiformis f.sp hordei 93TX-2.
Bayesian STRUCTURE analyses supported the results of our phylogenetic analyses and identified 8 major groups within the global P. striiformis f. sp. tritici population (Fig. 3A, Additional File 3: Figure S2) as well as two minor groups (Fig. 3B). Our STRUCTURE analysis also supported the previously unresolved distinction between PstS1, PstS1-related and South African samples (Fig. 3C). PstS0 and European group 4 were also separated by STRUCTURE analyses (Fig. 3D). It is important to note that Psph in the STRUCTURE analyses appears an admixture of multiple lineages from wheat (Fig. 3C) which is not surprising because the host for Psph can harbour rusts from both wheat and barley and participates in rust evolution differently from wheat .
Unlike previously published field pathogenomics studies on P. striiformis f. sp. tritici, our study placed North American isolates into two distinct lineages with a very clear distinction between PstS1 and PstS1-related, which could be attributed both to a greater number of samples in each clade as well as the fact that we did not rely on a specific subset of genes [36, 41, 42]. Our approach was to use variation in all coding regions for maximum-likelihood phylogenetic analyses, the results of which were further supported by independent Bayesian analysis with STRUCTURE. This also suggests that the 242 genes described in Radhakrishnan et al.  might not be enough to capture global diversity in the pathogen populations as there are some indications of the division of North American population into two groups in that paper, but they were not able to conclusively separate the groups into two. A limitation of our approach, however, is the combination of gDNA and RNAseq-derived datasets which leads to an observable within-clade segregation between these two origins in the PstS1 and PstS1-related clades, likely due to a combination of systemic error deriving from gDNA and RNAseq reads mapping differently to coding regions as well as differential expression between the two nuclei (i.e. genomic data may capture heterozygous SNPs which are missed in RNAseq data due to a lack of expression). Future -omics studies in Pst and other cereal rusts will hopefully take this factor into account, as we believe it is not always inappropriate to cross-compare these two sample types, but users must be aware of the limitations. Furthermore, it bears reminding that RNAseq data describes the condition of the sequenced colony and not the underlying genotype, and experiments which mis-estimate the contribution of both nuclei may not yield helpful results.
We identify a shift in the Canadian P. striiformis f. sp. tritici population after the year 2015 as the predominant lineage changes from PstS1 to PstS1-related. The widespread prevalence of PstS1-related isolates over PstS1 could most likely be attributed to increased fitness in the North American climate, increased urediniospore production or higher aggressiveness on Canadian wheat, but as yet we have no strong evidence for any particular hypothesis. Indeed, in our previous study , PstS1-related was hypothesized to be a recombinant lineage with higher telia production ability than the clonal PstS1 lineage but the absence of an alternate host in North America should not lead this to favour the PstS1-related lineage over PstS1. The consequences of PstS1-related slowly replacing PstS1 on Canadian wheat production have not been quantified, but we have not observed a major epidemic due to this incursion, only a single regional epidemic  and PstS1-related isolates do not appear to represent more aggressive or virulent races [data not shown].
This is the first study on the wheat stripe rust pathogen P. striiformis f. sp. tritici to identify and utilize mating type alleles in pathogenomics and population biology research. Identification of conserved mating type allele pairs across the majority of global lineages further supports the fact that the global population is largely clonal [34, 35, 43]. A larger diversity of mating type alleles was detected in China which is not surprising as the Himalayan region is the centre of origin and diversity of the pathogen  and several susceptible barberry (Berberis spp.) species as the alternate sexual host of the fungus have been identified from the region where sexual recombination is common [43,44,45,46]. From a small number of samples collected from Pakistan and India, there was considerable variation in mating type alleles and the presence of four alleles in each group suggested some level of sexual recombination which was also reported for isolates from Pakistan in another study . However, the majority of the global lineages originates from a single founder race/isolate and do not show signs of recombination. If recombination is common then replacement of progenitor lineages is uncommon and the emergence of the PstS1-related lineage and replacement of PstS1 as the dominant North American lineage seems to be an unusual event. Continued monitoring of global rust populations taking haplotype and mating type into account will help to resolve the question of whether hybridization is common and perhaps identify novel lineages as they occur in real time. Separately to the PstS1 and PstS1-related split, we also identify the dominant southern African lineage of Pst as belonging to a unique lineage which probably diverged from PstS1 some time before 2014, and can be tracked via its unique Pst-b1*-HD mating allele. More extensive sample characterization from these regions may even permit the rate of mutation in this allele to be measured as a proxy for its divergence from the founder isolate. These results also highlight the need for increased monitoring / study of the Pst population in countries bordering the Himalayas, as the relative number of samples from these regions of highest diversity is extremely small and often only covers a few points in time compared with the largely identical samples collected in European and North American agricultural locations. Further consideration should also be given to the physical size and geographical diversity of these countries as it is plausible that different regions of, for example, India have vastly different circulating rust populations.
It is clear that while mating types are a critical component of the P. striiformis f. sp. tritici genome structure and can complement other forms of analyses such as whole genome sequencing, RNAseq and of course phenotyping, they do not fully capture the diversity within a given sample as is made clear by the relationships between the PstS1 and PstS1-related groups, as well as the totally shared alleles of the ‘Warrior’ and European group 4 lineages. We developed a method for detecting b-HD mating type alleles which can be included in other protocols for lineage identification or prediction because the majority of clonal lineages, such as those dominant in Europe, have unique allele combinations. Identifying a novel or unexpected mating type in a sample is a useful signifier that an unusual haplotype is present which only requires sequencing of a single gene. However, it must be remembered that most Pst lineages worldwide are uncharacterize and that b-HD allele cannot be used to properly characterize lineages which have not already been characterized or which carry alleles matching an existing lineage, only to identify the appearance of a novel strain and to complement other genomic markers.
Studying reproduction and mating types has always been important to understanding the evolutionary history and population dynamics of rusts, and modern advances in sequencing technology have made it significantly cheaper and easier to directly study the composition of the genes involved. Contemporaneously with this paper, work by Luo et al.  has assembled the b-HD and P/R loci of four cereal rust (Puccinia) species using a combination of new and public data, including five distinct alleles from three genomes of stripe rust (alleles Pst-b1-HD, Pst-b2-HD, Pst-b4-HD, Pst-b5-HD, and Pst-b6-HD in our study), and clarified the genomic relationship between the three members of the STE3.2 gene family. Additionally, recent genome assemblies of Puccinia triticina , Puccinia graminis , and the myrtle rust Austropuccinia psidii  have all paid special attention to these loci in quantifying the quality of their assemblies. This work identifying the global diversity of b-HD alleles in Pst permits investigation of the hypothesis raised in our previous study : that the PstS1-related lineage is a somatic hybrid of PstS1 and another Canadian lineage, as we predict the lineage is likely a somatic hybrid between PstS1 and PstPr due to their shared alleles in PstS1-related. To collect further evidence for this claim, our research group is generating phased genome assemblies of all four lineages from Canada, coupled with chromosome confirmation, and virulence phenotyping data, which we intend to investigate for evidence of recombination which could support a heterokaryotic, parasexual, or sexual explanation for this lineage’s emergence.
We show that the sequenced northern American Pst population has included individuals from at least four different worldwide population groups, but is overwhelmingly from lineages PstS1 and Pst1-related. Furthermore since 2015, all sequenced samples originating from western Canada and most from the northern United States belong to the PstS1-related lineage. Using a combination of SNP-based maximum-likelihood tree and Bayesian STRUCTURE analysis, as well as a novel approach of mating type allele assessment, we show that PstS1-related is a close relative of PstS1 but that it is not appropriate to consider them a single lineage as they share only a single haplotype. The distribution of genetic lineages of asexually reproducing pathogens such as Pst is of great concern to scientists, breeders, and growers as the emergence or incursion of novel lineages can lead to epidemics, while the existing lineages provide context for the deployment of cultivars with appropriate levels of resistance.
For the first time ever, we evaluate the global distribution of homeodomain-binding mating type gene alleles in Pst. We identify 9 mating type alleles in the available sequence data of Pst isolates around the world, and show they are both a simple proxy for lineage and can help to answer questions about the origins and relationships between different Pst lineages. While evidence for actively occurring sexual recombination in Pst is limited, recent papers have demonstrated that reproduction through somatic hybridization can occur in Pucciniomcyotina; leading to the emergence of novel lineages such as the virulent Ug99 lineage of stem rust . As mating type genes regulate normal colony growth, we would expect both sexual and somatic hybridization to be mating type dependent. Finally, we find mating type diversity is highest in isolates collected near to the natural origin of stripe rusts, i.e. in countries bordering on the Himalayas.
In addition to 13 previously published gDNA samples which were included , we collected and sequenced the RNA of 43 Canadian rust sample datasets in this study. With the exception of W088 (collected in 1990), all Canadian isolates were collected between years 2005 and 2021. Additionally, one sample, AR00-05, was collected in 2005 from Arkansas, USA, by Dr. Eugene Milus (retired, U. of Arkansas, USA). Samples were collected as leaf tissue infected with a single lesion (single isolated stripe on the leaf) isolates and stored in RNAlater. Such samples are expected to be genetically pure as each successful stripe rust colonization event produces a single stripe along the vascular tissue of the leaf. Isolates described as SP (Single Pustule) have been passed through at least one round of purification through inoculation and spore recovery from a single pustule.
DNA/RNA extraction and sequencing
Fifty-seven samples were sampled from Canadian fields between 2005 and 2021. Twenty-three were previously used for DNA extraction and WGS , and the remaining 34, along with AR00-05 isolate from the USA were used for RNA extraction and sequencing. Eighteen samples were not purified, and RNA was extracted directly from single lesion infected leaf tissue and sequenced with paired-end Illumina technology to a depth of ~10 Gbp. RNA extraction was performed following protocols described in Radhakrishnan et al. . Seventeen samples were purified to single pustule isolates and RNA was extracted from urediniospores and sequenced with paired-end Illumina technology to a depth of ~5Gbp.
Mating type gene identification and characterization
In order to characterize the history of recombination in Canadian P. striiformis f. sp. tritici populations, we first identified the set of alleles present at the HD locus across the global dataset [36,37,38, 40,41,42, 48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72]. In the Pst-130.v2 reference genome [37, 38], Pst-bW-HD1 is represented by FUN_008986+FUN_008987 (partial annotations of a single gene) and by FUN_010468. Pst-bE-HD2 is represented by FUN_008988 and FUN_010469. Using representatives from each identified clade, we performed de novo RNAseq-based transcriptome assembly using the Trinity  software package with default parameters. As the Pst-bW-HD1 and Pst-bE-HD2 genes both possess a conserved Homeodomain and a Constant domain, NCBI Blast+  was used to identify predicted transcripts encoding these genes in the Trinity assembly by querying for the homeodomains identified in the reference genome. Transcripts were then manually curated by aligning the original RNAseq data to the predicted transcripts using BWA  and Hisat2 , and visualizing the aligned reads in Geneious to curate a biologically plausible pair of alleles for each gene in each isolate (i.e. binning polymorphisms into two alleles based on agreement with paired-end reads. Later, additional samples with unidentified alleles were also passed through this process until no further alleles could be identified.
The Pst-P/R complex is represented by the genes FUN_000740 (STE3.2.1), FUN_005623 (STE3.2.2), and FUN_017677 (STE3.2.3). CDS for these genes was extracted and curated with the RNAseq data from isolate W034, to ensure introns had been properly identified. The resulting CDS were carried forward to allele detection in the same manner as the Pst-b-HD locus.
With mating type alleles identified, the alleles of unknown samples were identified using Sourmash  to search for representation of mating type allele-derived k-mers within the raw nucleotide data for that sample. Sourmash sketch was used to create k-mer indexes for curated alleles and for nucleotide sequencing data, using the parameters k=21 and 10X downsampling. Sourmash containment with a threshold of 0 was then used to evaluate each sequence dataset for whether or not it carried each allele, the collective outputs are summarized in Additional File 3: Figure S1 by visualization using the ggplot2 package in R  to generate a heatmap with geom_tile from the raw % of k-mer matches.
Samples with over 80% k-mer identity for a given allele were generally considered to carry that allele. Unusual samples were manually evaluated for a good match between RNA data and curated mating types by aligning RNA to the curated mating type alleles and evaluating the closest match, and in some cases this either prompted curation of another allele, or the allele was left undetermined.
Clade identification and phylogenetic analysis
Thirteen Canadian samples were previously sequenced by the senior author and reported in Brar et al. ; the sequence data was utilized in this project. A further 329 global samples were obtained from other previously published studies [36,37,38, 40,41,42, 48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72], in addition to the 44 samples sequenced in this study. Sample origin, mating type, clade, and other metrics are described in Additional File 1.
Illumina reads were aligned to the Pst-130.v2 reference genome using Hisat2 with a minimum score function of L,0,-0.6 and other parameters left default. Alignments were sorted and converted to BAM format using samtools view, and samtools sort .
At this stage, quality control was performed on samples by investigating their alignment to the P. striiformis f. sp. tritici reference genome and to annotated genes within the genome, as well as using a Kraken2 database  built from the following preset libraries:
As well as custom libraries constructed from the following genome assemblies:
Of the 17,881 annotated genes in the P. striiformis reference genome: average read coverage of >3 reads/bp in fewer than 10,000 genes, low (<20%) Pucciniales sample identity in the Kraken2 output, or high (>5%) sample identity from another fungal species in the Kraken2 output were grounds for sample exclusion. Sixteen samples were excluded this way, described in Additional File 1.
For the remaining samples, sorted .bam files were merged into a single mpileup and SNPs called using BCFtools call -m. After calling, SNPs were filtered to intragenic positions using BCFtools filter -R and the set of positions described as exons in the Pst-130.v2 reference GFF3. Following this, informative SNPs were identified using BCFtools filter -i and the parameters:
‘type==’snp’ && AN >600 && AC/AN>0.01 && AC/AN<0.99 && QUAL>20’, which selected for SNPs in positions where at least 300 isolates had sufficient coverage for a call, overall SNP confidence was >20 (p=0.05), and the minor allele frequency exceeded 0.01. The remaining 206,376 SNPs were converted to phylip format using the scripts at https://github.com/edgardomortiz/vcf2phylip, then used to generate a maximum-likelihood tree in RAxML  using the following settings:
Mode: -f a
The final tree was visualized with IToL and annotated with clades and mating type information using iToL and Adobe Illustrator.
Comparisons of gDNA and RNAseq dataset heterozygosity were performed using R. The vcf file containing all SNPs used in phylogenetic tree construction was queried for just genotype calls and imported into R using read.table. The ratio of heterozygous (0/1) to all alternate allele calls was compared for each sample type, and the mean and standard deviation of this ratio was calculated for each type of data using the default mean and s.d functions.
Comparisons of tree topology were performed using ETE3 compare, in unrooted mode .
Population STRUCTURE analyses
To delineate the clades described in Fig. 2, STRUCTURE analyses were performed on the same data. In brief, SNP information was converted from VCF to strct.in format using PLINK  and samples were assigned to presumptive clades by cross-referencing for the closest match in Radhakrishnan et al. . STRUCTURE analyses were run using 2000 MCM and burnin reps, and the assumptions of free admixturing and no association between linked markers for values of K between two and 15. The best estimates of K were obtained by comparing the change in ln(Pr|X) between values of K, as well as by investigating the biological plausibility of the resulting groups. In all cases, the point at which increased values of K failed to place any samples into an additional population group agreed with a plateau in ln(Pr|X). After global STRUCTURE comparison was unable to resolve some groups previously identified in other work , we performed sub-analyses using related groups identified by the global STRUCTURE analysis. Sub-analyses were able to resolve the missing groups (Fig. 3, Additional File 3: Figure S2).
- Pst :
Puccinia striiformis f.sp. tritici
- PstPr :
Puccinia striiformis f.sp. tritici, Probable Recombinant genetic group
Brar GS, Fetch T, McCallum BD, Hucl PJ, Kutcher HR. Virulence dynamics and breeding for resistance to stripe, stem, and leaf rust in Canada since 2000. Plant Dis. 2019;103:2981–95.
Brar GS, Kutcher HR. Race characterization of Puccinia striiformis f. sp. tritici, the cause of wheat stripe rust, in Saskatchewan and southern Alberta and virulence comparison with races from the United States. Plant Dis. 2016;100:1744–53.
Kumar K, Holtz MD, Xi K, Turkington K. Virulence phenotypes of Puccinia striiformis on wheat and barley in central Alberta. Can J Plant Pathol. 2012;34:551–61.
Holtz MD, Kumar K, Xi K. Virulence phenotypes of Puccinia striiformis in Alberta from 2009–2011. Can J Plant Pathol. 2013;35:241–50.
Ghanbarnia K, Gourlie R, Amundsen E, Aboukhaddour R. The changing virulence of stripe rust in Canada from 1984 to 2017. Phytopathol. 2021;111:1840–50.
Holtz MD, Kumar K, Zantinge JL, Xi K. Genetic diversity of Puccinia striiformis from cereals in Alberta. Canada Plant Pathol. 2014;63:415–24.
Brar GS, Ali S, Qutob D, Ambrose S, Lou K, Maclachlan R, Pozniak CJ, Fu YB, Sharpe AG, Kutcher HR. Genome re-sequencing and simple sequence repeat markers reveal the existence of divergent lineages in the Canadian Puccinia striiformis f. sp. tritici population with extensive DNA methylation. Environ Microbiol. 2018;20:1498–515.
Kolmer JÁ. Tracking wheat rust on a continental scale. Curr Opinion Plant Biol. 2005;8:441–9.
Casselton LA, Olesnicky NS. Molecular genetics of mating recognition in basidiomycete fungi. Microbiol Mol Biol Rev. 1998;62(1):55–70.
Nieuwenhuis BP, Billiard S, Vuilleumier S, Petit E, Hood ME, Giraud T. Evolution of uni-and bifactorial sexual compatibility systems in fungi. Heredity. 2013;111(6):445–55.
Kues U. From two to many: multiple mating types in Basidiomycetes. Fungal Biol Rev. 2015;29:126–66.
Coelho MA, Bakkeren G, Sun S, Hood ME, Giraud T. Fungal sex: the Basidiomycota. Microbiol Spectrum. 2017;5(3):5–3.
Cuomo CA, Bakkeren G, Khalil HB, Panwar V, Joly D, Linning R, Sakthikumar S, Song X, Adiconis X, Fan L, Goldberg JM, Levin JZ, Young S, Zeng Q, Anikster Y, Bruce M, Wang M, Yin C, McCallum B, Szabo LJ, Hulbert S, Chen X, Fellers JP. Comparative analysis highlights variable genome content of wheat rusts and divergence of the mating loci. G3: Genes, Genomes, Genetics. 2017;7(2):361-376.
McClelland CM, Chang YC, Varma A, Kwon-Chung KJ. Uniqueness of the mating system in Cryptococcus neoformans. Trends Microbiol. 2004;12(5):208–12.
Luo Z, McTaggart A, Schwessinger B. Genome biology and evolution of mating type loci in four cereal rust fungi bioRxiv. 2023.https://doi.org/10.1101/2023.03.02.530769
García-Muse T, Steinberg G, Pérez-Martín J. Pheromone-induced G2 arrest in the phytopathogenic fungus Ustilago maydis. Eukaryotic Cell. 2003;2(3):494–500.
Feldbrügge M, Kämper J, Steinberg G, Kahmann R. Regulation of mating and pathogenic development in Ustilago maydis. Current Opinion Microbiol. 2004;7(6):666–72.
Wahl R, Zahiri A, Kämper J. The Ustilago maydis b mating type locus controls hyphal proliferation and expression of secreted virulence factors in planta. Mol Microbiol. 2010;75(1):208–20.
Asante-Owusu RN, Banham AH, Böhnert HU, Mellor EJC, Casselton LA. Heterodimerization between two classes of homeodomain proteins in the mushroom Coprinus cinereus brings together potential DNA-binding and activation domains. Gene. 1996;172(1):25–31.
Kämper J, Reichmann M, Romeis T, Bölker M, Kahmann R. Multiallelic recognition: nonself-dependent dimerization of the bE and bW homeodomain proteins in Ustilago maydis. Cell. 1995;81(1):73–83.
Kronstad JW, Leong SA. The b mating type locus of Ustilago maydis contains variable and constant regions. Genes Develop. 1990;4(8):1384–95.
Yee AR, Kronstad JW. Dual sets of chimeric alleles identify specificity sequences for the bE and bW mating and pathogenicity genes of Ustilago maydis. Mol Cellular Biol. 1998;18(1):221–32.
Kämper J, Friedrich MW, Kahmann R. Creating novel specificities in a fungal nonself recognition system by single step homologous recombination events. New Phytol. 2020;228(3):1001–10.
Billiard S, López-Villavicencio M, Devier B, Hood ME, Fairhead C, Giraud T. Having sex, yes, but with whom? Inferences from fungi on the evolution of anisogamy and mating types. Biol Rev. 2011;86(2):421–42.
Billiard S, López-Villavicencio M, Hood ME, Giraud T. Sex, outcrossing and mating types: unsolved questions in fungi and beyond. J Evol Biol. 2012;25(6):1020–38.
Nazareno ES, Li F, Park RF, Kianian SF, Figueroa M. Puccinia coronata f. sp. avenae: a threat to global oat production. Molecular Plant Pathology. 2018;19:1047–60.
Yue J, Rouse M, Groth J. Population diversity of Puccinia graminis is sustained through sexual cycle on alternate hosts. Journal of Integrative Agriculture. 2014;13(2):262–4.
Yue J, Szabo LJ, Carson M. Century-old mystery of Puccinia striiformis life history solved with the identification of Berberis as an alternate host. Phytopathology. 2010;100(5):432–5.
Mboup M, Leconte M, Gautier A, Wan AM, Chen W, de Vallavieille-Pope C, Enjalbert J. Evidence of genetic recombination in wheat yellow rust populations of a Chinese oversummering area. Fungal Genet Biol. 2009;46:299–307.
Park RF, Wellings CR. Somatic hybridization in the Uredinales. Annual review of Phytopathology. 2012;50:219–39.
Li F, Upadhyaya NM, Sperschneider J, Matny O, Nguyen-Phuc H, Mago R, Raley C, Miller ME, Silverstein KAT, Henningsen E, Hirsch CD, Visser B, Pretorius ZA, Steffenson BJ, Schwessiner B, Dodds PN, Figueroa M. Emergence of the Ug99 lineage of the wheat stem rust pathogen through somatic hybridisation. Nature comms. 2019;10(1):5068.
Sperschneider J, Hewitt T, Lewis DC, Periyannan S, Milgate AW, Hickey LT, Mago R, Dodds PN, Figueroa M. Extensive somatic nuclear exchanges shape global populations of the wheat leaf rust pathogen Puccinia triticina. bioRxiv 2022.11.28.518271; https://doi.org/10.1101/2022.11.28.518271
Wu JQ, Dong C, Song L, Cuomo CA, Park RF. Dissecting the first phased dikaryotic genomes of the wheat rust pathogen Puccinia triticina reveals the mechanisms of somatic exchange in nature bioRxiv. 2019;07(17): 705475. https://doi.org/10.1101/705475.
Ali S, Rordiguez-Algaba J, Thach T, Sorensen CK, Hansen JG, Lassen P, Nazari K, Hodson DP, Justesen AF, Hovmøller MS. Yellow rust epidemics worldwide were caused by pathogen races from divergent genetic lineages. Front Plant Sci. 2017;8:1057.
Ding Y, Cuddy WS, Wellings CR, Zhang P, Thach T, Hovmøller MS, Qutob D, Brar GS, Kutcher HR, Park RF. Incursions of divergent genotypes, evolution of virulence and host jumps shape a continental clonal population of the stripe rust pathogen Puccinia striiformis. Molecular Ecology. 2021;30(24):6566–84.
Radhakrishnan GV, Cook NM, Bueno-Sancho V, Lewis CM, Persoons A, Mitiku AD, Heaton M, Davey PE, Abeyo B, Alemayehu Y, Badebo A, Barnett M, Bryant R, Chatelain J, Chen X, Dong S, Henriksson T, Holdgate S, Justesen AF, Kalous J, Kang Z, Laczny S, Legoff JP, Lesch D, Richards T, Randhawa HS, Thach T, Wang M, Hovmøller MS, Hodson DP, Saunders DGO. MARPLE, a point-of-care, strain-level disease diagnostics and surveillance tool for complex fungal pathogens. BMC Biol. 2019;17(1):1–17.
Vasquez-Gross H, Kaur S, Epstein L, Dubcovsky J. A haplo-phased genome of wheat stripe rust pathogen Puccinia striiformis f. sp. tritici, race PST-130 from the western USA. PLoS One. 2020;15:e0238611.
University of California, Davis. Puccinia striiformis f. sp. tritici isolate PST-130 from Triticum turgidum cultivar Kronos. Genbank GCA_025869495.1 https://identifiers.org/ncbi/insdc:JAHLQU000000000.1 (2022)
Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics. 2000;155(2):945–59.
John Innes Centre, Mobile And Real-time PLant disEase (MARPLE) diagnostics for strain-level identification of Wheat Yellow Rust, NCBI SRA https://identifiers.org/bioproject:PRJEB31334 (2019)
Bueno-Sancho V, Persoons A, Hubbard A, Cabrera-Quio LE, Lewis CM, Corredor-Moreno P, Bunting DCE, Ali S, Chng S, Hodson DP, Madariga Burrows R, Bryson R, Thomas J, Holdgate S, Saunders DGO. Pathogenomic analysis of wheat yellow rust lineages detects seasonal variation and host specificity. Genome Biol Evol. 2017;9(12):3282–96.
The Genome Analysis Centre, Field pathogenomics detects rapid global spread of recent emergent European lineages of wheat yellow rust, NCBI SRA, https://identifiers.org/bioproject:PRJEB15280 (2016)
Ali S, Gladieux P, Leconte M, Gautier A, Justesen AF, Hovmøller MS, Enjalebert J, de Vallavielle-Pope C. Origin, migration routes and worldwide population genetic structure of the wheat yellow rust pathogen Puccinia striiformis f. sp. tritici. PLoS Pathog. 2014;10(1):e1003903.
Wang ZY, Zhao J, Chen XM, Peng YL, Ji JJ, Zhao SL, Lv YJ, Huang LL, Kang ZS. Virulence variations of Puccinia striiformis f. sp. tritici isolates collected from Berberis spp. in China. Plant Dis. 2016;100:131–8.
Zhan GM, Wang FP, Chen XM, Wan CP, Han QM, Huang LL, Kang ZS. Virulence and molecular diversity of the Puccinia striiformis f. sp. tritici population in Xinjiang in relation to other regions of western China. Plant Dis. 2016;100:99–107.
Zhao J, Wang L, Wang ZY, Chen XM, Zhang HC, Yao JN, Zhan GM, Chen W, Huang LL, Kang ZS. Identification of eighteen Berberis species as alternate hosts of Puccinia striiformis f. sp. tritici and virulence variation in the pathogen isolates from natural infection of barberry plants in China. Phytopathology. 2013;103:927–34.
Mehmood S, Sajid M, Zhao J, Khan T, Zhan G, Huang L, Kang Z. Identification of Berberis species collected from the Himalayan region of Pakistan susceptible to Puccinia striiformis f. sp. tritici. Plant Dis. 2019;103:461–7.
Edwards RJ, Dong C, Park RF, Tobias PA. A phased chromosome-level genome and full mitochondrial sequence for the dikaryotic myrtle rust pathogen, Austropuccinia psidii. BioRxiv 2022.04.22.489119; https://doi.org/10.1101/2022.04.22.489119
Cantu D, Segovia V, MacLean D, Bayles R, Chen X, Kamoun S, Dubcovsky J, Saunders DGO, Uauy C. Genome analyses of the wheat yellow (stripe) rust pathogen Puccinia striiformis f. sp. tritici reveal polymorphic and haustorial expressed secreted proteins as candidate effectors. BMC Genomics. 2013;14:1-18.
Cantu D, Segovia V, MacLean D, Bayles R, Chen X, Kamoun S, Dubcovsky J, Saunders DGO, Uauy C., Puccinia striiformis f. sp. tritici PST21, whole genome shotgun sequencing project. Genbank https://identifiers.org/ncbi/insdc:AORR00000000.1 (2013)
Cantu D, Segovia V, MacLean D, Bayles R, Chen X, Kamoun S, Dubcovsky J, Saunders DGO, Uauy C., Puccinia striiformis f. sp. tritici PST43, whole genome shotgun sequencing project. Genbank https://identifiers.org/ncbi/insdc:AORQ01000000.1 (2013)
Cantu D, Segovia V, MacLean D, Bayles R, Chen X, Kamoun S, Dubcovsky J, Saunders DGO, Uauy C., Puccinia striiformis f. sp. tritici PST08/21, whole genome shotgun sequencing project. Genbank https://identifiers.org/ncbi/insdc:AORS01000000.1 (2013)
Cantu D, Segovia V, MacLean D, Bayles R, Chen X, Kamoun S, Dubcovsky J, Saunders DGO, Uauy C., Puccinia striiformis f. sp. tritici PST87/7, whole genome shotgun sequencing project. Genbank https://identifiers.org/ncbi/insdc:AORT00000000.1 (2013)
Kiran K, Rawal HC, Dubey H, Jaswal R, Bhardwaj SC, Prasad P, Pal D, Devanna BN, Sharma TR. Dissection of genomic features and variations of three pathotypes of Puccinia striiformis through whole genome sequencing. Sci Rep. 2017;7(1):42419.
Kiran K, Rawal HC, Dubey H, Jaswal R, Bhardwaj SC, Prasad P, Pal D, Devanna BN, Sharma TR. Puccinia striiformis strain Race Yr9, whole genome shotgun sequencing project. Genbank https://identifiers.org/ncbi/insdc:LACU00000000.1 (2015)
Kiran K, Rawal HC, Dubey H, Jaswal R, Bhardwaj SC, Prasad P, Pal D, Devanna BN, Sharma TR. Puccinia striiformis strain Race K, whole genome shotgun sequencing project. Genbank https://identifiers.org/ncbi/insdc:LACT01000000 (2015)
Kiran K, Rawal HC, Dubey H, Jaswal R, Bhardwaj SC, Prasad P, Pal D, Devanna BN, Sharma TR. Puccinia striiformis strain Race 31, whole genome shotgun sequencing project. Genbank https://identifiers.org/ncbi/insdc:LACS01000000 (2015)
Schwessinger B, Sperschneider J, Cuddy WS, Garnica DP, Miller ME, Taylor JM, Dodds PM, Figueroa M, Park RF, Rathjen JP. A near-complete haplotype-phased genome of the dikaryotic wheat stripe rust fungus Puccinia striiformis f. sp. tritici reveals high interhaplotype diversity. mBio. 2018;9(1):e02275-17.
Schwessinger B. Puccinia striiformis f. sp. tritici strain 104 E137 A-, whole genome shotgun sequencing project. Genbank https://identifiers.org/ncbi/insdc:PELB00000000.1 (2018)
Xia C, Wang M, Yin C, Cornejo OE, Hulbert SH, Chen X. Genomic insights into host adaptation between the wheat stripe rust pathogen (Puccinia striiformis f. sp. tritici) and the barley stripe rust pathogen (Puccinia striiformis f. sp. hordei). BMC Genomics. 2018;19(1):1–21.
Xia C, Wang M, Yin C, Cornejo OE, Hulbert SH, Chen X. Puccinia striiformis strain 93TX-2, whole genome shotgun sequencing project. Genbank https://identifiers.org/ncbi/insdc:PKSM01000000.1 (2021)
Xia C, Wang M, Yin C, Cornejo OE, Hulbert SH, Chen X. Puccinia striiformis strain 93-210, whole genome shotgun sequencing project. Genbank https://identifiers.org/ncbi/insdc:PKSL00000000.1 (2021)
Schwessinger B, Chen YJ, Tien R, Vogt JK, Sperschneider J, Nagar R, McMullan M, Sicheritz-Pontzen T, Sørensen CK, Hovmøller MS, Rathjen JP, Justesen AF. Distinct life histories impact dikaryotic genome evolution in the rust fungus Puccinia striiformis causing stripe rust in wheat. Genome Biol Evol. 2020;12(5):597–617.
Schwessinger B, Chen YJ, Tien R, Vogt JK, Sperschneider J, Nagar R, McMullan M, Sicheritz-Pontzen T, Sørensen CK, Hovmøller MS, Rathjen JP, Justesen AF. Puccinia striiformis f. sp. tritici strain DK09_11, whole genome shotgun sequencing project. Genbank https://identifiers.org/ncbi/insdc:WXWX00000000.1 (2020)
van Schalkwyk HJ, Adams T, Persoons A, Boshoff WH, Wanyera R, Hovmøller MS, Uauy C, Boyd L, Pretorius ZA, Prins R, Saunders DGO. Pathogenomic analyses of Puccinia striiformis f. sp. tritici supports a close genetic relationship between South and East Africa. Plant Pathol. 2022;71(2):279–88.
John Innes Centre. Pathogenomic analyses of South African Puccinia striiformis f. sp. tritici population. NCBI SRA https://identifiers.org/bioproject:PRJEB45236 (2021)
Boshoff WHP, Visser B, Lewis CM, Adams TM, Saunders DGO, Terefe T, Soko T, Chiuraise N, Pretorius ZA. First Report of Puccinia striiformis f. sp. tritici, Causing Stripe Rust of Wheat, in Zimbabwe. Plant Disease. 2019;104(1):290.
John Innes Centre. RNAseq data of Puccinia striiformis f.sp. tritici collected in 2018 in South Africa and Zimbabwe. NCBI SRA https://identifiers.org/bioproject:PRJEB33109 (2019)
Cook NM, Chng S, Woodman TL, Warren R, Oliver RP, Saunders DG. High frequency of fungicide resistance‐associated mutations in the wheat yellow rust pathogen Puccinia striiformis f. sp. tritici. Pest Management Sci. 2021;77(7):3358–71.
John Innes Centre. New Zealand Pst Isolates. NCBI SRA https://identifiers.org/bioproject:PRJEB39756 (2021)
Hubbard A, Lewis CM, Yoshida K, et al. Field pathogenomics reveals the emergence of a diverse wheat yellow rust population. Genome Biol. 2015;16:23. https://doi.org/10.1186/s13059-015-0590-8.
The Genome Analysis Centre. Field pathogenomics of PST-infected wheat and triticale. NCBI SRA https://identifiers.org/bioproject:PRJNA256347 (2014)
Grabherr MG, Haas BJ, Yassour M, Levin JZ, Thompson DA, Amit I, Adiconis X, Fan L, Raychowdhury R, Zeng Q, Chen Z, Mauceli E, Hacohen N, Gnirke A, Rhind N, di Palma F, Birren BW, Nusbaum C, Lindblad-Toh K, Friedman N, Regev A. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat Biotechnol. 2011;29(7):644–52.
Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215(3):403–10.
Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler Transform. Bioinformatics. 2009;25:1754–60.
Kim D, Paggi JM, Park C, Bennett C, Salzberg SL. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat Biotechnol. 2019;37(8):907–15.
Pierce NT, Irber L, Reiter T, Brooks P, Brown CT. Large-scale sequence comparisons with sourmash. F1000Research. 2019;8.
R Core Team. R: A language and environment for statistical computing. 2013.
Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G. 1000 Genome Project Data Processing Subgroup, Durbin R. The sequence alignment/map format and SAMtools. Bioinformatics. 2009;25(16):2078–9.
Wood DE, Lu J, Langmead B. Improved metagenomic analysis with Kraken 2. Genome Biol. 2019;20:1–13.
Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 2014;30(9):1312–3.
Jaime HC, Serra F, Bork P. ETE 3: reconstruction, analysis, and visualization of phylogenomic data. Molecular biology and evolution. 2016;33(6):1635–8.
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Pamela S, de Bakker PIW, Daly MJ, Sham PC. PLINK: a tool set for whole-genome association and population-based linkage analyses. American J Human Genet. 2007;81(3):559–75.
University of British Columbia. Sequencing of Canadian Puccinia striiformis isolates. NCBI SRA https://identifiers.org/bioproject:PRJNA950118 (2023)
We are thankful to healthy and fruitful discussions on this work with other wheat rust pathologists in Canada, USA, UK, and Australia.
Acquisition of plant materials
There are no applicable laws or regulations governing the acquisition of agricultural plant material for research in Canada. Permission was obtained from the landowner before entering private property to collect samples.
This work was supported by Saskatchewan Wheat Development Commission (SWDC) ADF20180095, AFC2021036R. Alberta Wheat Commission (AWC)—ADF20180095, AFC2021036R. Manitoba Crop Alliance (MCA)—ADF20180095. Western Grains Research Foundation (WGRF)—ADF20180095. Natural Sciences and Engineering Research Council (NSERC) of Canada—AFC2021036R. Genome British Columbia (Genome BC)—SIP030. British Columbia Peace River Grain Industry Development Council (BC-GIDC)—2020-07, 2021-04. The funders had no role in study design, data collection and analyses, decision to publish, or preparation of the manuscript.
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Datasets generated or used in this study. List of datasets generated or used in this study organised by sample name. Including year of sampling, country of origin, NCBI SRR, assigned clade, and assigned mating types.
Nucleotide CDS sequence of HD alleles and STE3 genes of Puccinia striiformis f. sp. tritici identified in this study, in fasta format.
Presence or absence of mating type alleles across all datasets, evaluated by k-mer match percentage. Figure S2. STRUCTURE analysis of the global Pst population, as well as previously listed population subgroups for each tested value of K, as well as ln(Pr|X).
About this article
Cite this article
Holden, S., Bakkeren, G., Hubensky, J. et al. Uncovering the history of recombination and population structure in western Canadian stripe rust populations through mating type alleles. BMC Biol 21, 233 (2023). https://doi.org/10.1186/s12915-023-01717-9