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Article

Virulence Diversity of Puccinia striiformis f. sp. Tritici in Common Wheat in Russian Regions in 2019–2021

by
Elena Gultyaeva
1,*,
Ekaterina Shaydayuk
1 and
Evsey Kosman
2
1
All Russian Institute of Plant Protection, Shosse Podbelskogo 3, St. Petersburg 1986608, Russia
2
Institute for Cereal Crops Improvement, School of Plant Sciences and Food Security, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel
*
Author to whom correspondence should be addressed.
Agriculture 2022, 12(11), 1957; https://doi.org/10.3390/agriculture12111957
Submission received: 8 October 2022 / Revised: 9 November 2022 / Accepted: 18 November 2022 / Published: 20 November 2022
(This article belongs to the Special Issue Genetic Diversity of Wheat Fungal Diseases)
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Abstract

:
Yellow (stripe) rust, caused by Puccinia striiformis f. sp. tritici (Pst), is a major disease of common wheat worldwide. Disease epidemics in Russia have been frequent and destructive, mostly in the North Caucasus. However, over the last 5 years, the significance of Pst has markedly increased in other Russian regions. Therefore, the Pst virulence diversity was investigated in Triticum aestivum in six geographically distant regions of the European (North Caucasus, North-West, Low Volga, Central Black Earth region, and Volga-Vyatka) and Asian (West Siberia) parts of Russia, with strongly different climates, environmental conditions, and growing wheat genotypes. Seventy-nine virulence pathotypes among 117 isolates were identified using the 12 Avocet Yr gene lines (Yr1, Yr5, Yr6, Yr7, Yr8, Yr9, Yr10, Yr15, Yr17, Yr24, Yr27, and YrSp) and eight supplemental wheat differentials (Heines VII, Vilmorin 23, Hybrid 46, Strubes Dickkopf, Carstens V, Suwon 92/Omar, Nord Desprez, and Heines Peko). Only four pathotypes occurred in two or more regions. High variability was detected within Pst populations from Dagestan, Central, North-West, and West Siberia that postulated to form an intrapopulation subdivision of each of them into several subgroups. Most regional virulence groups of pathotypes were closely related, except for several small subgroups of pathotypes from West Siberia, Dagestan, North-West, and Central European regions. All Pst isolates were avirulent in lines with Yr5, Yr10, Yr15, and Yr24 genes. Virulence to Yr17 was detected for several isolates of two pathotypes, one each from the North-West and Low Volga regions. Variation in virulence frequency was observed in other differential lines.

1. Introduction

Wheat (Triticum aestivum) is the main strategic agricultural crop [1]. Epidemics caused by plant pathogens can significantly affect yield and grain quality of wheat. Until recently, leaf rust was the most frequent, widespread, and harmful disease of wheat worldwide [2]. In the 2000s, the situation changed and, in many countries, outbreaks of wheat yellow rust (also known as stripe rust) has become the most hazardous [3]. The causative agent of yellow rust infects more than 20 species of cultivated and wild cereals, but it is more damaging for wheat, triticale, barley, and rye. The specialized form infecting wheat is referred to as Puccinia striiformis f. sp. tritici (Pst) [4,5]. Pst reproduces primarily clonally, although a sexual stage on Berberis spp. and Mahonia spp. has been recently discovered [4,6,7,8,9].
Yellow rust is considered to be a low-temperature disease and frequently occurs in temperate areas with cool, humid summers or in warm, high-altitude areas with cool nights [4,10]. Until the 2000s, the interregional impact of Pst was relatively limited compared with the more widely adaptable species, P. triticina and P. graminis, and wheat yellow rust was of only regional significance throughout the world. However, over the last 20 years, Pst has become one of the largest biotic limitations to wheat production and threatens global food supply [11]. This is due to the emergence and rapid spread of new aggressive isolates—adapted to high temperatures, which have been able to produce more spores and induce disease symptoms more quickly [12]—as well as high mutation rate of the pathogen for virulence. Like other Puccinia spp., Pst has a high dispersal capacity, which contributes to the rapid spread of new races over long distances [13]. Yellow rust epidemics occur frequently in Western Europe, Central and East Asia, the Middle East, North and South Africa, North and South America, and Australia [3,4,10,13,14,15,16,17,18]. Yield losses in these widespread epidemics ranged from 10 to 70% [13,19] and were especially high when the epidemics were associated with exotic temperature-adapted aggressive strains, as these were rarely considered in breeding for disease resistance locally [18,20]. The highly aggressive race, PstS1, was detected as an exotic incursion in the USA in 2000 and in Australia in 2002, and race PstS2 was first detected in Europe in 2000 [21,22]. Since 2011, invasive strains of the Warrior and Kranich races have largely replaced the pre-existing northwestern European populations [23,24]. These were later designated as PstS7 and PstS8, respectively [21], and were detected across Europe and infected cultivars with durable adult plant resistance. Both races have been found to be distinct from the typical European isolates in that they produced an unusually high number of teliospores [23,24]. Currently, Warrior race, which occurs at a low frequency, is recorded in Europe, northern Africa, and South America. In the mid-2010s, additional aggressive Pst races have been determined (e.g., PstS10 or Warrior(-) and PstS4 Triticale aggressive), and they are now dominant in Europe [21,25,26].
Growing of resistant cultivars is the most economically effective method for yellow rust management. However, within a few years of deploying cultivars with race-specific resistance genes, new virulent races (pathotypes) of the rust pathogen emerge, able to infect previously resistant cultivars. Monitoring Pst races is of a high priority in all epidemic regions in the world because the rust urediniospores can be wind-transported over long distances [27]. Pst surveys have been conducted all over the world, with corresponding national programs established in Europe, North America, Australia, China, and other regions after severe epidemics [10,18,20]. Virulence of the yellow rust pathogen has been studied at the international scale by the Global Rust Reference Center (GRRC), Aarhus University, Denmark. However, Russian Pst populations were not included.
Until recently, yellow rust epidemics in Russia were frequent and destructive primarily only in the North Caucasus [28]. However, significance of Pst remarkably increased over the last 5 years. The disease has appeared regularly in other Russian regions (North-West, West Siberia, Volga, and Central Black Earth) [29,30,31]. Global climate changes contribute to alteration of the disease incidence and severity.
Virulence characterization of Pst populations provides information on effectiveness of resistance genes, but identification of new Pst races is needed for screening wheat germplasm for resistance. In Russia, only one Pst population from common wheat in the North Caucasus region (Krasnodar, Stavropol, and Rostov) has been studied [32]. The present research was designed to study Pst virulence pathotypes in geographically dispersed regions of Russia. The objectives were to (1) assess virulence variability and race composition of Pst isolates infecting common wheat in distant Russian locations and (2) compare the pathogen structure of regional populations.

2. Materials and Methods

2.1. Yellow Rust Sampling and Spore Multiplication

During the 2019–2021 cropping seasons, common wheat leaves with Pst uredinia were collected from disease nurseries, breeding plots, and commercial fields in six Russian agroecological regions, North Caucasus (Dagestan, Krasnodar, and Rostov, Russia), Low Volga (Saratov, Russia), North-West (St. Petersburg, Russia), Central Black Earth (Tambov, Russia), Volga-Vyatka (Kirov, Russia), and West Siberia (Novosibirsk and Krasnoyarsk, Russia) (Figure 1). In total, 95 Pst samples of air-dried infected leaves were obtained. One to ten leaves of a single cultivar from each plot/field were considered as one sample. Sampling details of Pst isolates are given in Table 1. Leaves with Pst were initially stored at 4 °C with urediniospores from these samples revived and multiplied as soon as possible.
Mostly, one or two single uredinial isolates were obtained from each rust sample and tested for infection type. However, in the case of bulk-infected leaves from commercial fields, virulence pathotypes of at least three single pustule isolates were determined. Common white winter wheat cultivar Michigan Amber, susceptible to all Pst isolates at the seedling stage, was inoculated with urediniospores from samples to obtain initial isolates.
Standard procedures and conditions with some modifications were used for inoculating, growing plants before and post inoculation, and collecting urediniospores [16,33,34]. To recover urediniospores, a section of leaf (3–5 cm long) with uredinia from each sample was incubated in a Petri dish at 3–5 °C. The lower part of the leaf segments was covered with cotton wool with benzimidazole solution (0.004%). In 1 to 5 days, pieces of single lesions with fresh urediniospores were tied with plastic film onto 10–12-day-old susceptible wheat cultivar Michigan Amber. Inoculated plants were kept in a dark dew chamber at 10 °C for 24 h. Then, the film with infected leaf segments was removed and the pots transferred to a growth chamber (Environmental Test Chamber MLR-352H, Sanyo Electric Co., Ltd., Osaka, Japan) at 10 °C and 16:8 h L:D photoperiod. To prevent cross contamination, plants inoculated with different isolates were isolated with perforated cellophane bags. Approximately 14 to 21 days after inoculation, first sporulation was evident on inoculated leaves [34]. Urediniospores were collected 18–20 days after inoculation and once every 4 days until leaf desiccation. Cyclone spore collector was used for urediniospores harvesting. Fresh urediniospores, or those stored at 4 °C for less than 2 weeks, were used for testing on the host differentials.

2.2. Virulence Characterization

The virulence of each isolate was determined by testing on the set of 12 wheat Yr single-gene differentials in the Avocet spring wheat background and on eight supplemental wheat differentials (Table 2). Two cultivars, Jupateco S and Avocet S, were used as susceptible controls. Urediniospores of a single isolate was suspended in 5 mL Novec 7100 in a glass tube and connected to the airbrush spray gun. This suspension was sprayed onto three seedlings (2-leaf stage) of each differential line. The inoculated plants were incubated in a dark dew chamber at 10 °C for 24 h and transferred to a controlled-climate chamber, with the parameters described above. Seedling infection type was scored after 20 days on a five-point scale [35]: 0 to 2, host resistant (pathogen-avirulent) and 3 to 4, host susceptible (pathogen-virulent) [36].

2.3. Data Analysis

Pst races, their frequencies and distribution, and frequencies of virulence to Yr genes or differential genotypes were analyzed. Original virulence data were clone-corrected so that isolates with identical virulence pathotypes at each regional population were represented by one unique Pst pathotype. Variability within and among the Pst populations was further analyzed for such clone-corrected data.
Descriptive parameters, such as virulence frequency and relative virulence complexity [37], were calculated for each clone-corrected regional population (virulence frequency was also estimated on the basis of isolate composition, i.e., considering pathotype abundances). Structure and relationships among the Pst populations were analyzed using the assignment-based approach applied to the simple mismatch dissimilarities between virulence pathotypes. The corresponding Kosman dispersion within (KW) and Kosman distance between populations (KB) were calculated [38,39,40]. Differentiation among populations was estimated with the permutation test (1000 random partitions) for differentiation statistics d i f K W (Equation (1) in [34,41] based on the KW dispersion (see also [40], Equation (13); and [42], p. 565).
Number of effectively different pathotypes within a population was estimated with the metric of functional trait dispersion [43] (Equations (5) and (6) for M = KW). Since the effective number depends on an actual number of pathotypes in a given population, the normalized version of this indicator was considered (corrected Equation (5) in [44]; Equation (3) in [45]).
Singularity of each virulence pathotype within every regional collection of Pst was estimated on the basis of the simple mismatch dissimilarity between the pathotypes (Equations (1)–(3) in [46]). Then, the singularity of a population was calculated as the average singularity of all pathotypes that belong to that population (Equations (7) and (8) in [47]).
Unweighted pair–group method with arithmetic mean (UPGMA) was used for analyzing relationships among the Pst virulence pathotypes. UPGMA dendrograms of relationships among the Pst virulence pathotypes with regard to the simple mismatch dissimilarity were generated using the SAHN program of the NTSYSpc package, version 2.2 (Exeter Software, Setauket, NY, USA). Non-metric multi-dimensional scaling (NMDS) plots with regard to the Kosman distance (KB) between the regional Pst populations were derived using the Mdscale program of the NTSYSpc package, version 2.2 (Exeter Software, Setauket, NY, USA). Other above-mentioned calculations were performed with VIRULENCE ANALYSIS TOOL (VAT) software [47,48] and its extension.

3. Results

3.1. Virulence Characterization

In total, 117 Pst isolates obtained from common wheat in geographically dispersed regions of Russia were tested. The number of sampled isolates varied from two in Kirov and Tambov collections to 42 in St. Petersburg (Table 2). Among the 20 Yr genes, virulence to 16 of them was detected. All isolates were avirulent on Yr5, Yr10, Yr15, and Yr24, i.e., these genes were effective against the Russian Pst populations (Table 2). High virulence frequencies (≥80%) were observed on Avocet lines with Yr6 and Yr9 genes, as well as with cultivars Heines VII, Suwon 92/Omar, and Heines Peko. Most isolates were virulent in lines with Yr27 (≥63%), cvs Carstens V (≥50%), and Vilmorin 23 (≥67%), with the exception of one or two isolates from Rostov and Saratov in each case. Virulence to Yr17 was found only in Pst isolates from St. Petersburg and Saratov. Variation in virulence frequency among all Pst isolates was observed on other differential lines.

3.2. Pathotypes Composition

On the basis of the set of 20 differential lines and Avocet NILs, 79 Pst virulence pathotypes (phenotypes, races) were identified among 117 isolates (Table 3 and Table 4). There were 5 phenotypes among 7 isolates detected in 2019, as well as 44 phenotypes among 62 isolates in 2020 and 37 phenotypes among 48 isolates in 2021. The number of pathotypes ranged from 1 (Kirov and Krasnoyarsk) to 36 (St. Petersburg). No single phenotype was detected across all locations. Predominant pathotypes P1, P2, and P3 were common in populations from European part of Russia. Pathotypes P1 and P2 were detected in three locations: Dagestan, Krasnodar, and St. Petersburg. Pathotype P3 was found in Dagestan and St. Petersburg. The common pathotype P4 was detected in Kirovsk and Krasnoyarsk, where Pst samples were collected only from commercial fields. Thirteen other pathotypes (P5 to P17) were collected as two and more isolates in one location. Other pathotypes (62) were detected as single isolate in one year only. High diversity of Pst pathotypes composition can be provided by the genetic diversity of wheat cultivars collected in various locations, such as breeding nurseries and experimental plots.
Descriptive parameters of the Pst isolates and virulence of predominant pathotypes are presented in Table 4. Frequency of predominant pathotypes varied from 7 to 100%. The average virulence complexity of pathotypes from North Caucasus, North-West, and Central European regions was significantly smaller than that from West Siberia (10.6, 11.1, 10.3, and 12.4, respectively). Virulence patterns of more distributed pathotypes are presented in Table 4.

3.3. Variability within and among Regional Collections of Pst Pathotypes

Variability within the regional Pst populations differed considerably. Population from the Central region was the most variable, with dispersion KW = 0.36 and the normalized effective number of different pathotypes (Table 5). The least variable population was from Rostov (KW = 0.12).
The relatively high variability found within Dagestan, Central, North-West, and West Siberia regions (Table 5) provided evidence of possible subdivision within each region. Indeed, Pst pathotypes in Dagestan, Central, North-West, and West Siberia regions were separated into three, two, five, and two subgroups, respectively, on the basis of clustering of pathotypes within each population by UPGMA dendrograms using simple mismatch dissimilarity (data not shown). The number of pathotypes in each subgroup is shown in Table 6.
Relationships between the regional Pst populations and subgroups based on the KB distance with regard to the simple mismatch dissimilarity between them can be uncovered from the NMDS plot in Figure 2. Two subgroups from Dagestan (D_1 and D_2; altogether 15 of 18 pathotypes) were closely related to three subgroups from the North-West (NW_2, NW_3 and NW_4; altogether 30 of 36 pathotypes) that can explain insignificance of differentiation among populations from Dagestan and North-West at p = 0.05 (1–0.9 = 0.06 > 0.05; Table 7). Most virulence pathotypes from West Siberia (6 of 8 in subgroup WS_1) were closely related to pathotypes from the most European and North Caucasian Pst subgroups (Figure 2). Several small groups of pathotypes (up to 3 in each of group C_1, D_3, NW_5 and WS_2) were considerably different from all other Pst subgroups (Figure 2).
In each region, singular Pst virulence pathotypes were characterized by relatively low virulence complexity that did not exceed the average for that region. These did not include any uncommon virulence pathotypes, so these singular pathotypes were weak with no signs of being particularly harmful or aggressiveness for common wheat cultivars.

4. Discussion

In the present study, we analyzed virulence of stripe rust samples from common wheat in the major wheat production regions of Russia in 2019–2021. These regions were distant from each other, extending approximately 2300 and 3600 km from Saint Petersburg (North-West) to Derbent (Dagestan) and Krasnoyarsk (West Siberia), respectively, and more than 3800 km between Krasnodar (North Caucasus) and Krasnoyarsk. Winter wheat dominates in North Caucasus, whereas spring wheat is grown in West Siberia and Low Volga. In the North-West and Central European regions, both winter and spring wheat are cultivated [49]. Except for North Caucasus, wheat stripe rust has, until recently, occurred rarely only in these regions.
We found that virulence variation was relatively high within the Russian populations. Seventy-nine pathotypes among 117 isolates were identified using the 12 Avocet Yr gene lines and eight supplemental wheat differentials. Among these, 78% were detected only as a single isolate. Mostly closely related races differed in virulence due to a single resistance gene in the host. Common pathotypes were detected in widely separated North Caucasus and North West; and West Siberia and Volga-Vyatka regions.
The populations of Pst are characterized by high diversity around the world. Sharma-Poudyal et al. [27] studied 235 isolates from Algeria, Australia, Canada, Chile, China, Hungary, Kenya, Nepal, Pakistan, Russia, Spain, Turkey, and Uzbekistan and identified 129 virulence patterns in 20 single-gene lines and 169 virulence patterns in the 20 US differentials. In 2011 and 2013, Pst collections from Saskatchewan (Canada) and southern Alberta (USA) were analyzed by Brar et al. [17] Virulence analyses differentiated the 59 isolates into 33 races, of which 26 were represented by single isolates. In 2017–2019, 62 Pst isolates were studied in Israel. There were 32 virulence phenotypes detected, with 30 of them being unique phenotypes [50]. A similar result was described for many other world Pst collections [16,51]. Diversity of Russian North-Caucasian Pst population from Krasnodar, Stavropol, and Rostov was evaluated in 2013–2018 by Volkova et al. [32]. One hundred and eighty-two virulence phenotypes were identified in 186 Pst isolates. The isolates collected in 2014, 2015, and 2018 were all unique pathotypes. In the present study conducted in 2019–2021, the diversity of the North Caucasian population was substantially lower (34 phenotypes among 51 isolates) (Table 4).
High variability was detected within Dagestan, Central, North-West, and West Siberia Pst populations that could be subdivided within each population into several subgroups. Mostly pathotypes from these subgroups were avirulent to ineffective genes. For example, North-Western pathotypes from contrasting Pst Subgroup 5 differed from other North-West subgroups by avirulence to Yr7; Dagestan (Subgroup 3) and West Siberian (Subgroup 2) pathotypes by avirulence to Yr4; and Central European pathotypes (Subgroup 1) by avirulence to Yr3, Yr4, and Yr9. These subgroups were distinct from all other regional Pst subgroups. Most other virulence groups of pathotypes from North Caucasus, North-West, and Central and West Siberia regions were closely related.
Breeding wheat for yellow rust resistance has been a priority over an extended period in the North Caucasus region where the disease has high importance. In the North Caucasus, as in other Russian regions, cultivars with seedling resistance gene Yr9 and partial resistance gene (or slow-rusting gene) Yr18 are widely grown. In the North Caucasus, as in other Russian regions, cultivars with seedling resistance gene Yr9 and partial resistance gene (or slow-rusting gene) Yr18 are widely grown. Currently, wheat cultivars with Yr9 gene are mostly susceptible to yellow rust worldwide. The resistance breakdown of Yr9 has happened since the late 1980s due to widespread emergence of virulent races worldwide; this has resulted in major epidemics of stripe rust that have challenged world wheat production [3,4]. In Russia, high virulence frequency to Yr9 was found in all the Pst populations we studied.
The slow-rusting gene Yr18/Lr34/Sr57 confers partial durable resistance to multiple fungal pathogens, including yellow rust. Other examples of such genes included Yr29/Lr46/Sr58/Pm39, Yr30/Lr27/Sr2, and Yr46/Lr67/Sr55/Pm46. This resistance type is characterized by slow rusting (an extended period of latent infection and small lesion size) [52,53,54,55]. Under field conditions, Russian wheat cultivars with Yr18 gene were either moderately or highly susceptible to Pst at the adult plant stage, depending on genetic background of a given cultivar (e.g., Adel, Bagira, Bezostaya 1, Bezostaya 100, Don 174, Kuma, and Rostovchanka 3). At the same time, the transmission of infection from some of these cultivars on susceptible wheat seedlings was not always successful, which indicates a weaker virulence and aggressiveness of Pst isolates that affect genotypes with Yr18.
Wheat cultivars with Yr17 gene are grown in North Caucasus and Central European regions and most of them have a resistant reaction to Pst [56]. The planting area of cultivars with Yr17 gene was smaller than for cultivars with Yr9 and Yr18 genes [57]. Yr17 resistance gene has been incorporated into wheat cultivars in northern Europe since the mid-1970s. Wheat cultivars with Yr17 resistance were first grown in the UK, Denmark, France, and Germany in 1980–1990 [58]. Virulence to Yr17 was detected after 1995, following intensive use of this single resistance gene in widely grown cultivars [59]. Currently Yr17-virulence is common in northwestern European Pst populations. The Russian Pst isolates studied were mostly avirulent to Yr17, except several isolates of two pathotypes, one each from North-West and Low Volga regions, which perhaps arrived by wind dispersal from western Europe.
Virulences to Yr5, Yr10, Yr15, and Yr24 genes were not known in Russia in 2019–2021. Sharma-Poudyal et al. [27] did not reveal isolates virulent to these genes in studies of two Russian Pst collections in 2006. Resistance genes Yr5 and Yr15 are still effective against the predominant Pst races in many countries [21,27,60,61,62,63]. Virulence to Yr10 and Yr24 occurs in some regional populations around the globe, but with low frequency [26,27]. According a GRRC report on yellow rust genotyping and race analysis in 2021 [26], virulences to Yr10 and Yr24 are more typical for races considered as Triticale-aggressive (PstS4 and PstS13), which are found in Europe, and among isolates belonging to the PstS2 genetic group. We compared virulence of Russian Pst pathotypes from this study with virulence of PstS race groups described in the GRRC study [26]. Differential set with genes Yr1, Yr2, Yr3, Yr4, Yr5, Yr6, Yr7, Yr8, Yr9, Yr10, Yr15, Yr17, Yr24, Yr25, Yr27, and Yr32 and cv. Spalding Prolific were used in both studies. Only one pathotype from North-West was common for virulence against the PstS 2v27 race.
There are several reasons why high variation in virulence occurs in Russian Pst populations. The first is long-distance dispersal of the Pst pathogen by wind [63]. Frequent outbreaks of the disease in the bordering countries, such as Azerbaijan, Georgia, Kazakhstan [64,65], and Latvia [66], may have had significant effects on the Russian Pst populations. Secondly, overwintering of Pst on wild cereals and grasses, providing a green bridge (for example in North Caucasus), could increase Pst diversity [67]. In addition, the sexual stage of Pst reproducing in Berberis spp. results in recombination, increasing genetic variation and development of new virulence pathotypes. This alternate host of the yellow rust pathogen occurs widely in wheat production regions of Russia. Sinha and Chen [11] demonstrated that potential infection risks of the sexual reproduction of wheat stripe rust pathogen in Berberis in Russia varies among regions ranging from low to high risk.

5. Conclusions

Large-scale analysis of Pst populations from common wheat collected in geographically distant Russian regions was performed for the first time in this study. Virulence variation was found to be relatively high within the Russian populations. Most Pst pathotypes sampled in European and Asian parts of Russia were closely related, except for several small subgroups of pathotypes from West Siberia, Dagestan, North-West, and Central European regions. All Pst isolates were avirulent in lines with Yr5, Yr10, Yr15, and Yr24 genes. Russian Pst isolates were mostly avirulent to Yr17, except for several isolates of two pathotypes, one each from North-West and Low Volga regions. These effective Yr genes can be recommended for yellow rust resistance breeding in Russia. Identical pathotypes were determined in geographically distant Russian regions, which could be due to the long-distance dispersal capacity of the yellow rust pathogen.

Author Contributions

Conceptualization and data analysis design, E.G. and E.K.; methodology and performing experiments, E.G. and E.S.; data analysis, E.K.; interpretation of results, E.G., E.S., and E.K.; data acquisition and curation, E.G.; drafting the manuscript, E.G. and E.K. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by the Russian Science Foundation (project number 19-76-30005).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

All data are provided in the manuscript.

Acknowledgments

We thank all colleagues from Krasnodar, Dagestan, Rostov, Novosibirsk, Tambov, Saratov, Kirovsk, Krasnoyarsk and Saint Petersburg for their excellent assistance in collecting and sending samples of yellow rust uredinia.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Listman, M.; Ordóñez, R. Imagine a World without Maize and Wheat. CIMMYT Newsletter World Food Day 2019. Available online: https://www.cimmyt.org/news/ten-things-you-should-know-about-maize-and-wheat/ (accessed on 25 August 2022).
  2. Samborski, D.J. Wheat Leaf Rust. In The Cereal Rusts; Roelfs, A.P., Bushnell, W.R., Eds.; Volume II Diseases, Distribution, Epidemiology, and Control; Academic Press, Inc. (Harcourt Brace Jovanovich, Publishers): Orlando, FL, USA; San Diego, CA, USA; New York, NY, USA; London, UK; Toronto, ON, Canada; Montreal, QC, Canada; Sydney, NSW, Australia; Tokyo, Japan, 1985. [Google Scholar]
  3. Wellings, C.R. Global status of stripe rust: A review of historical and current threats. Euphytica 2011, 179, 129–141. [Google Scholar] [CrossRef]
  4. Chen, W.; Wellings, C.; Chen, X.; Kang, Z.; Liu, T. Wheat stripe (yellow) rust caused by Puccinia striiformis f. sp. tritici. Mol. Plant Pathol. 2014, 15, 433–446. [Google Scholar] [CrossRef]
  5. Cheng, P.; Chen, X.M.; See, D.R. Grass hosts harbor more diverse isolates of Puccinia striiformis than cereal crops. Phytopathology 2016, 106, 362–371. [Google Scholar] [CrossRef] [Green Version]
  6. Jin, Y.; Szabo, L.J.; Carson, M. Century-old mystery of Puccinia striiformis life history solved with the identification of Berberis as an alternate host. Phytopathology 2010, 100, 432–435. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Wang, M.N.; Chen, X.M. First report of Oregon grape (Mahonia aquifolium) as an alternate host for the wheat stripe rust pathogen (Puccinia striiformis f. sp. tritici) under artificial inoculation. Plant Dis. 2013, 97, 839. [Google Scholar] [CrossRef] [PubMed]
  8. Zhao, J.; Zhang, H.; Yao, J.; Huang, L.; Kang, Z. Confirmation of Berberis spp. as alternate hosts of Puccinia striiformis f. sp. tritici on wheat in China. Mycosystema 2011, 30, 895–900. [Google Scholar]
  9. Zhao, J.; Wang, L.; Wang, Z.; Chen, X.; Zhang, H.; Yao, J.; Zhan, G.; Chen, W.; Huang, L.; Kang, Z. 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, 927–934. [Google Scholar] [CrossRef] [Green Version]
  10. Hovmøller, M.S.; Sørensen, C.K.; Walter, S.; Justesen, A.F. Diversity of Puccinia striiformis on cereals and grasses. Annu. Rev. Phytopathol. 2011, 49, 197–217. [Google Scholar] [CrossRef]
  11. Sinha, P.; Chen, X. Potential infection risks of the wheat stripe rust and stem rust pathogens on Barberry in Asia and Southeastern Europe. Plants 2021, 10, 957. [Google Scholar] [CrossRef]
  12. Milus, E.A.; Kristensen, K.; Hovmøller, M.S. Evidence for increased aggressiveness in a recent widespread strain of Puccina striiformis f. sp. tritici causing stripe rust of wheat. Phytopathology 2009, 99, 89–94. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Chen, X.M. Epidemiology and control of stripe rust [Puccinia striiformis f. sp. tritici] on wheat. Can. J. Plant Pathol. 2005, 27, 314–337. [Google Scholar] [CrossRef]
  14. Koyshibaev, M. About the international conference on yellow rust. Mikol. Fitopatol. 2002, 36, 83–85. (In Russian) [Google Scholar]
  15. Chen, X.M. Integration of cultivar resistance and fungicide application for control of wheat stripe rust. Can. J. Plant Pathol. 2014, 36, 311–326. [Google Scholar] [CrossRef]
  16. Chen, X.; Wang, M.; Wan, A.; Bai, Q.; Li, M.; López, P.F.; Maccaferri, M.; Mastrangelo, M.; Barnes, C.; Fabricio, D.; et al. Virulence characterization of Puccinia striiformis f. sp. tritici collections from six countries in 2013 to 2020. Can. J. Plant Pathol. 2021, 43, 308–322. [Google Scholar] [CrossRef]
  17. Brar, G.S.; Kutcher, H.R. Race characterization of Puccinia striiformis f. sp. tritici, the cause of wheat stripe rust, in Saskatchewan and Southern Alberta, Canada and virulence comparison with races from the United States. Plant Dis. 2016, 100, 1744–1753. [Google Scholar] [CrossRef] [Green Version]
  18. Wellings, C.R. Puccinia striiformis in Australia: A review of the incursion, evolution and adaptation of stripe rust in the period 1979–2006. Aust. J. Agric. Res. 2007, 58, 567–575. [Google Scholar] [CrossRef]
  19. Zhou, X.; Fang, T.; Li, K.; Huang, K.; Ma, C.; Zhang, M.; Li, X.; Yang, S.; Ren, R.; Zhang, P. Yield losses associated with different levels of stripe rust resistance of commercial wheat cultivars in China. Phytopathology 2022, 112, 1244–1254. [Google Scholar] [CrossRef] [PubMed]
  20. Chen, X.M.; Moore, M.; Milus, E.A.; Long, D.L.; Line, R.F.; Marshall, D.; Jackson, L. Wheat stripe rust epidemics and races of Puccinia striiformis f.sp. tritici in the United States in 2000. Plant Dis. 2002, 86, 39–46. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Ali, S.; Rodriguez-Algaba, J.; Thach, T.; Sørensen, C.K.; Hansen, J.G.; Lassen, P.; Nazari, K.; Hodson, D.P.; Justesen, A.F.; Hovmøller, M.S. Yellow rust epidemics Worldwide were caused by pathogen races from divergent genetic lineages. Front. Plant Sci. 2017, 8, 1057. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Walter, S.; Ali, S.; Kemen, E.; Nazari, K.; Bahri, B.A.; Enjalbert, J.; Hansen, J.G.; Brown, J.K.M.; Sicheritz-Pontén, T.; Jones, J. Molecular markers for tracking the origin and worldwide distribution of invasive strains of Puccinia striiformis. Ecol. Evol. 2016, 6, 2790–2804. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Hovmøller, M.S.; Walter, S.; Bayles, R.A.; Hubbard, A.; Flath, K.; Sommerfeldt, N.; Leconte, M.; Czembor, P.; Rodriguez-Algaba, J.; Thach, T.; et al. Replacement of the European wheat yellow rust population by new races from the centre of diversity in the near-Himalayan region. Plant Pathol. 2016, 65, 402–411. [Google Scholar] [CrossRef] [Green Version]
  24. Hubbard, A.; Lewis, C.; Yoshida, K.; Ramirez-Gonzalez, R.; de Vallavieille-Pope, C.; Thomas, J.; Kamoun, S.; Bayles, R.; Uauy, C.; Saunders, D.G. Field pathogenomics reveals the emergence of a diverse wheat yellow rust population. Genome Biol. 2015, 16, 23. [Google Scholar] [CrossRef] [PubMed]
  25. Bouvet, L.; Holdgate, S.; James, L.; Thomas, J.; Mackay, I.J.; Cockram, J. The evolving battle between yellow rust and wheat: Implications for global food security. Theor. Appl. Genet. 2022, 135, 741–753. [Google Scholar] [CrossRef]
  26. Hovmøller, M.S.; Patpour, M.; Rodriguez-Algaba, J.; Thach, T.; Sørensen, C.K.; Justesen, A.F.; Hansen, J.G. GRRC Report of Yellow and Stem Rust Genotyping and Race Analyses 2021. Available online: https://agro.au.dk/fileadmin/www.grcc.au.dk/International_Services/Pathotype_YR_results/GRRC_Annual_Report2021.pdf (accessed on 25 August 2022).
  27. Sharma-Poudyal, D.; Chen, X.M.; Wan, A.M.; Zhan, G.M.; Kang, Z.S.; Cao, S.Q.; Jin, S.L.; Morgounov, A.; Akin, B.; Mert, Z.; et al. Virulence characterization of international collections of the wheat stripe rust pathogen, Puccinia striiformis f. sp. tritici. Plant Dis. 2013, 97, 379–386. [Google Scholar] [CrossRef] [Green Version]
  28. Sanin, S.S. Agricultural plant disease control—The main factor of the crop production intensification. Plant Prot. News 2010, 1, 3–14. (In Russian) [Google Scholar]
  29. Ivanova, Y.N.; Rosenfread, K.K.; Stasyuk, A.I.; Skolotneva, E.S.; Silkova, O.G. Raise and characterization of a bread wheat hybrid line (Tulaykovskaya 10 × Saratovskaya 29) with chromosome 6Agi2 introgressed from Thinopyrum intermedium. Vavilov J. Genet. Breed. 2021, 25, 7701712. [Google Scholar] [CrossRef]
  30. Zeleneva, Y.V.; Shaydayuk, E.L. Resistance of winter soft wheat varieties to leaf and yellow rust in the conditions of the Central Chernozem region of Russia. E3S Web Conf. 2021, 254, 01017. [Google Scholar] [CrossRef]
  31. Druzhin, A.E. Effect of climate change on the structure of populations of spring wheat pathogens in the Volga region. Agrar. Rep. South-East 2010, 1, 31–36. (In Russian) [Google Scholar]
  32. Volkova, G.V.; Kudinova, O.A.; Matveeva, I.P. Virulence and diversity of Puccinia striiformis in South Russia. Phytopathol. Mediterr. 2021, 60, 119–127. [Google Scholar] [CrossRef]
  33. Hovmøller, M.S.; Rodriguez-Algaba, J.; Thach, T.; Sørensen, C.K. Race Typing of Puccinia striiformis on Wheat. In Methods in Molecular Biology; Periyannan, S., Ed.; Springer Science+Business Media LLC: Berlin Germany, 2017; Volume 1659, pp. 29–40. [Google Scholar] [CrossRef]
  34. Gultyaeva, E.; Shaydayuk, E.; Gannibal, P.; Kosman, E. Analysis of host-specific differentiation of Puccinia striiformis in the South and North-West of the European Part of Russia. Plants 2021, 10, 2497. [Google Scholar] [CrossRef] [PubMed]
  35. Gassner, G.; Straib, W. Untersuchungen Über die Infektions bedingungen von Puccinia glumarum und Puccinia graminis. Arb. Biol. Reichsanst. Land-Forst- wirtsch Berlin-Dahlem 1932, 16, 609–629. [Google Scholar]
  36. McIntosh, R.A.; Wellings, C.R.; Park, R.F. Wheat Rusts: An Atlas of Resistance Genes; CSIRO: Canberra, Australia, 1995. [Google Scholar]
  37. Kosman, E. Measure of multilocus correlation as a new parameter for study of plant pathogen populations. Phytopathology 2003, 93, 1464–1470. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Kosman, E. Difference and diversity of plant pathogen populations: A new approach for measuring. Phytopathology 1996, 86, 1152–1155. [Google Scholar]
  39. Kosman, E.; Leonard, K.J. Conceptual analysis of methods applied to assessment of diversity within and distance between populations with asexual or mixed mode of reproduction. New Phytol. 2007, 174, 683–696. [Google Scholar] [CrossRef] [PubMed]
  40. Kosman, E. Measuring diversity: From individuals to populations. Eur. J. Plant Pathol. 2014, 138, 467–486. [Google Scholar] [CrossRef]
  41. Czajowski, G.; Kosman, E.; Słowacki, P.; Park, R.F.; Czembor, P. Assessing new SSR markers for utility and informativeness in genetic studies of brown rust fungi on wheat, triticale and rye. Plant Pathol. 2021, 70, 1110–1122. [Google Scholar] [CrossRef]
  42. Kosman, E.; Ben-Yehuda, P.; Manisterski, J. Diversity of virulence phenotypes among annual populations of wheat leaf rust in Israel from 1993 to 2008. Plant Pathol. 2014, 63, 563–571. [Google Scholar] [CrossRef]
  43. Scheiner, S.M.; Kosman, E.; Presley, S.J.; Willig, M.R. Decomposing functional diversity. Methods Ecol. Evol. 2017, 97, 809–820. [Google Scholar] [CrossRef] [Green Version]
  44. Kosman, E.; Chen, X.; Dreiseitl, A.; McCallum, B.; Lebeda, A.; Ben-Yehuda, P.; Gultyaeva, E.; Manisterski, J. Functional variation of plant-pathogen interactions: New concept and methods for virulence data analyses. Phytopathology 2019, 109, 1324–1330. [Google Scholar] [CrossRef] [PubMed]
  45. Sun, X.; Kosman, E.; Sharon, O.; Ezrati, S.; Sharon, A. Significant host- and environment-dependent differentiation among highly sporadic fungal endophyte communities in cereal crops-related wild grasses. Environ. Microbiol. 2020, 22, 3357–3374. [Google Scholar] [CrossRef]
  46. Kosman, E.; Burgio, K.R.; Presley, S.J.; Willig, M.R.; Scheiner, S.M. Conservation prioritization based on trait-based metrics illustrated with global parrot distributions. Divers. Distrib. 2019, 25, 1156–1165. [Google Scholar] [CrossRef] [Green Version]
  47. Kosman, E.; Dinoor, A.; Herrmann, A.; Schachtel, G.A. Virulence Analysis Tool (VAT). User Manual. 2008. Available online: http://www.tau.ac.il/lifesci/departments/plant_s/members/kosman/VAT.html (accessed on 25 August 2022).
  48. Schachtel, G.A.; Dinoor, A.; Herrmann, A.; Kosman, E. Comprehensive evaluation of virulence and resistance data: A new analysis tool. Plant Dis. 2012, 96, 1060–1063. [Google Scholar] [CrossRef] [Green Version]
  49. Morgounov, A.; Ablova, I.; Babayants, O.; Babayants, L.; Bespalova, L.; Khudokormova, Z.; Litvinenko, N.; Shamanin, V.; Syukov, V. Genetic protection of wheat from rusts and development of resistant varieties in Russia and Ukraine. Euphytica 2011, 179, 297–311. [Google Scholar] [CrossRef]
  50. Kosman, E.; Ben-Yehuda, P.; Manisterski, J.; Anikster, Y.; Sela, H. Virulence survey of Puccinia striiformis in Israel revealed considerable changes in the pathogen population during the period 2001 to 2019. Plant Dis. 2022, 106, 2823–2830. [Google Scholar] [CrossRef] [PubMed]
  51. Wan, A.M.; Chen, D.X.M.; He, Z.H. Wheat stripe rust in China. Aust. J. Agric. Res. 2007, 58, 605–619. [Google Scholar] [CrossRef]
  52. Lagudah, E.S. Molecular genetics of race non-specific rust resistance in wheat. Euphytica 2011, 179, 81–91. [Google Scholar] [CrossRef]
  53. Mago, R.; Tabe, L.; McIntosh, R.A.; Pretorius, Z.; Kota, R.; Paux, E.; Wicker, T.; Breen, J.; Lagudah, E.S.; Ellis, J.G.; et al. A multiple resistance locus on chromosome arm 3BS in wheat confers resistance to stem rust (Sr2), leaf rust (Lr27) and powdery mildew. Theor. Appl. Genet. 2011, 123, 615–623. [Google Scholar] [CrossRef]
  54. Herrera-Foessel, S.A.; Singh, R.P.; Lillemo, M.; Huerta-Espino, J.; Bhavani, S.; Singh, S.; Lan, C.; Calvo-Salazar, V.; Lagudah, E.S. Lr67/Yr46 confers adult plant resistance to stem rust and powdery mildew in wheat. Theor. Appl. Genet. 2014, 127, 781–789. [Google Scholar] [CrossRef]
  55. Guo, Q.; Zhang, Z.J.; Xu, Y.B.; Li, G.H.; Feng, J.; Zhou, Y. Quantitative trait loci for high-temperature adult-plant and slow-rusting resistance to Puccinia striiformis f. sp. tritici in wheat cultivars. Phytopathology 2008, 98, 803–809. [Google Scholar] [CrossRef] [Green Version]
  56. State Register for Selection Achievements Admitted for Usage (National List). Vol. 1.“Plant Varieties” (Official Publication); FGBNU «Rosinformagrotech»: Moscow, Russia, 2022; 646p, Available online: https://reestr.gossortrf.ru/ (accessed on 25 August 2022). (In Russian)
  57. Gultyaeva, E.; Shaydayuk, E.; Gannibal, P. Leaf rust resistance genes in wheat cultivars registered in Russia and their influence on adaptation processes in pathogen populations. Agriculture 2021, 11, 319. [Google Scholar] [CrossRef]
  58. Coriton, O.; Jahier, J.; Leconte, M.; Huteau, V.; Trotoux, G.; Dedryver, F.; de-Vallavieille-Pope, C.; Miedaner, T. Double dose efficiency of the yellow rust resistance gene Yr17 in bread wheat lines. Plant Breed. 2019, 139, 263–271. [Google Scholar] [CrossRef]
  59. Bayles, R.A.; Flath, K.; Hovmøller, M.S.; de Vallavieille-Pope, C. Breakdown of the Yr17 resistance to yellow rust of wheat in northern Europe—A case study by the yellow rust sub-group of COST 817. Agronomie 2000, 20, 805–811. [Google Scholar] [CrossRef] [Green Version]
  60. Shahin, A.A. Occurrence of new races and virulence changes of the wheat stripe rust pathogen (Puccinia striiformis f. sp. tritici) in Egypt. Arch. Phytopathol. Plant Prot. 2020, 53, 552–569. [Google Scholar] [CrossRef]
  61. Amil, R.E.; Ali, S.; Bahri, B.; Leconte, M.; de Vallavieille-Pope, C.; Nazari, K. Pathotype diversification in the invasive PstS2 clonal lineage of Puccinia striiformis f. sp. tritici causing yellow rust on durum and bread wheat in Lebanon and Syria in 2010–2011. Plant Pathol. 2020, 69, 618–630. [Google Scholar] [CrossRef]
  62. Gangwar, P.; Kumar, S.; Bhardwaj, S.C.; Prasad, P.; Kashyap, P.L.; Khan, H.; Singh, G.P.; Savadi, S. Virulence and molecular diversity among Puccinia striiformis f. sp. tritici pathotypes identified in India between 2015 and 2019. Crop Prot. 2021, 148, 105717. [Google Scholar] [CrossRef]
  63. Chuprina, V.P.; Sokolov, M.S.; Anpilogova, L.K.; Kobileva, E.A.; Levashova, G.I.; Pikushova, V.V. Protection of wheat crops against stripe rust, taking into account the epiphytotic and biotrophic characteristics of its pathogen Puccinia striiformis West. Agrochemistry 1999, 7, 81–94. (In Russian) [Google Scholar]
  64. Ziyaev, Z.M.; Sharma, R.C.; Nazari, K.; Morgounov, A.I.; Amanov, A.A.; Ziyadullaev, Z.F.; Khalikulov, Z.I.; Alikulov, S.M. Improving wheat stripe rust resistance in Central Asia and the Caucasus. Euphytica 2011, 179, 197–207. [Google Scholar] [CrossRef]
  65. Kokhmetova, A.; Rsaliyev, A.; Malysheva, A.; Atishova, M.; Kumarbayeva, M.; Keishilov, Z. Identification of stripe rust resistance genes in common wheat cultivars and breeding lines from Kazakhstan. Plants 2021, 10, 2303. [Google Scholar] [CrossRef]
  66. Feodorova-Fedotova, L.; Bankina, B. Occurrence of genetic lineages of Puccinia striiformis in Latvia. Res. Rural. Dev. 2020, 35, 27–32. [Google Scholar] [CrossRef]
  67. Gultyaeva, E.I.; Bespalova, L.A.; Ablova, I.B.; Shaydayuk, E.L.; Khudokormova, Z.N.; Yakovleva, D.R.; Titova, Y.A. Wild grasses as the reservoirs of infection of rust species for winter soft wheat in the Northern Caucasus. Vavilov J. Genet. Breed. 2021, 25, 638–646. [Google Scholar] [CrossRef]
Agriculture 12 01957 g001 550
Figure 1. Collection sites of Puccinia striiformis in Russia.
Figure 1. Collection sites of Puccinia striiformis in Russia.
Agriculture 12 01957 g001
Agriculture 12 01957 g002 550
Figure 2. Non-metric multi-dimensional scaling plot based on the KB distance with regard to the simple mismatch dissimilarity between Puccinia striiformis collections of pathotypes from different regions. Abbreviations of regions and subgroups: Kr—Krasnodar, Ro—Rostov, D—Dagestan, NW—North-West, WS—West Siberia, and C—Central European regions; NW_1 means the first subgroup in NW region.
Figure 2. Non-metric multi-dimensional scaling plot based on the KB distance with regard to the simple mismatch dissimilarity between Puccinia striiformis collections of pathotypes from different regions. Abbreviations of regions and subgroups: Kr—Krasnodar, Ro—Rostov, D—Dagestan, NW—North-West, WS—West Siberia, and C—Central European regions; NW_1 means the first subgroup in NW region.
Agriculture 12 01957 g002
Table
Table 1. Sampling and isolation details for collections of Puccinia striiformis in regions of Russia.
Table 1. Sampling and isolation details for collections of Puccinia striiformis in regions of Russia.
RegionLocationYearSamples 1Isolates 2
North Caucasus (NC)Dagestan (D)202058
202119 18
Total Da2426
Krasnodar (Kr)201944
202058
202157
Total Kr1419
Rostov (Ro)202166
Total NC4451
North-West (NW)Saint Petersburg (SPb)201988
20201523
20211111
Total NW3442
Low Volga (LV)Saratov (Sa)202022
202122
Total LV44
Central Black Earth region (CBE)Tambov (Ta)202022
Volga-Vyatka (VV)Kirov (Ki)202024
West Siberia (WS)Novosibirsk (No)201944
202024
202124
Total No812
Krasnoyarsk (Kk)202114
Total WS916
Total Russia95117
1 Samples of stripe-rust-infected leaves (1 to 10) were collected from commercial fields and nurseries throughout wheat-growing areas; 2 single pustule isolates.
Table
Table 2. Virulence frequency of Puccinia striiformis collections of isolates originated from common wheat in Russian regions.
Table 2. Virulence frequency of Puccinia striiformis collections of isolates originated from common wheat in Russian regions.
Yr GenesLine with the Corresponding
Yr Genes		NC 1NWLVCBEVVWSOverall
D 2KrRoSPbSaTaKiNoKk
Yr1Yr1/6*Avocet S, Chinese 1664295100555010010010010068
Yr2, Yr25, Yr+3Heines VII9684100100501001009210094
Yr3, Yr+Vilmorin 2369891007901001007510078
Yr4, Yr+Hybrid 4688950625001008310073
Yr5Yr5/6*Avocet S0000000000
Yr6Yr6/6*Avocet S9210010010010010010010010098
Yr7Yr7/6*Avocet S10095339550501005010086
Yr8Yr8/6*Avocet S1009510098100100050088
Yr9Yr9/6*Avocet S851001001005010010010010095
Yr10Yr10/6*Avocet S0000000000
Yr15Yr15/6*Avocet S0000000000
Yr17Yr17/6*Avocet S000122500005
Yr24Yr24/6*Avocet S0000000000
YrSD, Yr25, Yr+Strubes Dickkopf (SD)46265074100010010010062
Yr27Yr27/6*Avocet S100630671001001008310075
Yr32, Yr25, Yr+Carstens V587406775501008310066
YrSu, Yr+Suwon 92/Omar (Su)92100679510010010010010095
YrSpYrSP/6*Avocet S505810029001006710048
YrND, Yr3Nord Desprez (ND)15001750501003310021
Yr2,Yr6,Yr25, Yr+Heines Peko (HP)9210010088505010010010091
Number of isolates2619642422124117
1 NC—North Caucasus, NW—North-West, LV—Low Volga, CBE—Central Black Earth region, VV —Volga-Vyatka, WS—West Siberia; 2 D—Dagestan, Kr—Krasnodar, Ro—Rostov, SPb—St. Petersburg, Sa—Saratov, Ta—Tambov, Ki—Kirov, No—Novosibirsk, and Kk—Krasnoyarsk; 3 Yr+ corresponds to additional unidentified genes [33].
Table
Table 3. Number of isolates and number of pathotypes of Puccinia striiformis identified and their frequencies in various locations in 2019–2021.
Table 3. Number of isolates and number of pathotypes of Puccinia striiformis identified and their frequencies in various locations in 2019–2021.
RegionLocationYearIsolatesPathotypesPathotype Composition and Frequency
NCD202086P1 1 (38%), P5 (12%), P18 (12%), P19 (12%), P20 (12%), P21 (12%),
20211814P1 (17%), P2 (5%), P3 (5%), P5 (5%), P6 (11%), P7 (11%), P22 (5%), P23 (5%), P24 (5%), P25 (5%), P26 (5%), P27 (5%), P28 (5%), P29 (5%)
Kr201933P1 (33%), P30 (33%), P31 (33%)
202086P2 (25%), P8 (25%), P32 (12%), P33 (12%), P34 (12%), P35 (12%)
202176P2 (29%), P1 (14%), P8 (14%), P36 (14%), P37 (14%), P38 (14%)
R202166P39 (17%), P40 (17%), P41 (17%), P42 (17%), P43 (17%), P44 (17%)
NWSPb201987P9 (25%), P1 (12%), P45 (12%), P46 (12%), P47 (12%), P48 (12%), P49 (12%), P50 (12%)
20202322P9 (9%), P1 (4%), P2 (4%), P3 (4%), P10 (8%), P51 (4%), P52 (4%), P53 (4%), P54 (4%), P55 (4%), P56 (4%), P57 (4%), P58 (4%), P59 (4%), P60 (4%), P61 (4%), P62 (4%), P63 (4%), P66 (4%), P65 (4%), P66 (4%), P67 (4%), P68 (4%)
2021118P9 (18%), P11 (18%), P12 (18%), P69 (9%), P70 (9%), P71 (9%), P72 (9%), P73 (9%)
LWSar202022P74 (50%), P75 (50%)
202121P13 (100%)
CBETam202022P76 (50%), P77 (50%)
VVKir202021P4 (100%)
WSNov201932P14 (67%), P15 (33%)
202042P15 (50%), P16 (50%)
202143P17 (50%) P78 (25%), P79 (25%)
Kr-k202041P4 (100%)
1 Predominant phenotypes are indicated in bold.
Table
Table 4. Pathotypes of Puccinia striiformis identified among isolates originating from common wheat in Russian regions.
Table 4. Pathotypes of Puccinia striiformis identified among isolates originating from common wheat in Russian regions.
NCNWCWSOverall, for Russia
ParametersDKrRoTotalSPbSaTaKiTotalNoKkTotal
Number of isolates261965142422812416117
Number of pathotypes181163436321671879
Predominant abundances 1, %23.121.116.717.67.150501002525100259.4
Average virulence complexity of pathotypes10.711.39.510.611.19.3101410.311.81412.410.9
Prevailing Pst pathotypes (P#: avirulence/virulence formula of Yr genes) and their abundances (%):
P1. Yr: 5,10,15,17, 24,ND/1,2,3,
4,6,7,8,9,25,27,32,Su,SP,HP		2316018500000009
P2. Yr: 5,10,15,17,24,25,32,Sp,
ND/1,2, 3,4,6,7,8,9,27,Su,HP 		421010200000005
P3. Yr: 1,5,10,15,17,24,32, SP,
ND/2,3,4,6,7,8,9,25,27,Su,HP		4003200000002
P4. Yr: 5,8,10,15,17,24/1,2,3,4, 6,7,9,25,27,32,Su,Sp, ND,HP000000000010004
P5. Yr: 5,9,10,15,17,24,25,ND/1,2,3,4,6,7,8,27,32,Su,SP,HP4004000000002
P6. Yr: 1,3,5,10,15,17,24,25,
32,Sp,ND/2,4,6,7,8,9,27,Su, HP		8004000000002
P7. Yr: 1,3,5,10,15,17,24,32,SP, ND/2,4,6,7,8,9,25,27, Su,HP8004000000002
P8. Yr: 5,10,15,17,24,25,SP,ND/
1,2,3,4,6,7,8,9,27, 32,Su, HP		01606000000003
P9. Yr: 5,10,15,17,24,SP,ND/1,2,3, 4,6,7,8,9,25,27, 32,Su,HP0000700000003
P10. Yr: 1,4,5,10,15,17,24,SP,ND/2,3,6,7,8,9,25,27,32,Su,HP0000500000002
P11. Yr: 1,5,10,15,17,24,SP,ND/2,3, 4,6,7,8,9,25,27, 32,Su,HP0000500000002
P12. Yr: 4,5,10,15,17,24,SP/1,2,3, 6,7,8,9,25,27,32,Su,ND,HP0000500000002
P13. Yr: 2,3,5,7,10,15,17,24,SP,ND/1,4,6,8,9,25,27,32,Su,HP00000500000002
P14. Yr: 3,5,8,10,15,17,24,ND/1,2,4,6,7,9,25,27, 32,Su, SP,HP00000000025003
P15. Yr: 5,8,10,15,17,24,ND1,2,3, 4,6,7,9,25,27,32,Su,SP,HP00000000017002
P16. Yr: 5,7,10,15,17,24/1,2,3,4,6, 8,9,25,27,32,Su,SP,ND,HP00000000017002
P17. Yr: 5,7,10,15,17,24,27,SP, ND/1,2,3,4,6,8,9,25,32,Su,HP00000000017002
1 Frequency of predominant pathotypes (%).
Table
Table 5. Variability within Puccinia striiformis populations sampled from common wheat in Russian region.
Table 5. Variability within Puccinia striiformis populations sampled from common wheat in Russian region.
Pst CollectionPathotypesKW D 1 ( T , K W ) n 1 D ( T , K W )
Krasnodar110.212.990.12
Rostov60.121.560.11
Dagestan180.285.490.26
North-West360.3111.370.3
West Siberia80.272.770.25
Central European regions60.362.410.35
Table
Table 6. Virulence pathotypes in subgroups within regional Puccinia striiformis populations.
Table 6. Virulence pathotypes in subgroups within regional Puccinia striiformis populations.
Regional PopulationAbbreviationNumber of Virulence Pathotypes in Five SubgroupsTotal
12345
DagestanD1143 18
North-WestNW411127236
West SiberiaWS62 8
CentralC23 6
The values given under each subgroup (1–5) are the numbers of virulence pathotypes in each region.
Table
Table 7. Pairwise distances (KB; below diagonal) and significance of differentiation (KW; above diagonal) between Russian regional Puccinia striiformis populations.
Table 7. Pairwise distances (KB; below diagonal) and significance of differentiation (KW; above diagonal) between Russian regional Puccinia striiformis populations.
KrRoDNWWSC
Kr a-0.990.990.980.970.99
Ro b0.22-0.990.990.990.99
D0.170.29-0.940.990.97
NW0.160.240.14-0.380.91
WS0.180.250.230.2-0.89
C b0.240.320.190.20.22-
a Kr—Krasnodar, Ro—Rostov, D—Dagestan, NW—North-West, WS—West Siberia, and C—Central European regions; b Number of isolates was relatively small (8 and 6, respectively).
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Gultyaeva, E.; Shaydayuk, E.; Kosman, E. Virulence Diversity of Puccinia striiformis f. sp. Tritici in Common Wheat in Russian Regions in 2019–2021. Agriculture 2022, 12, 1957. https://doi.org/10.3390/agriculture12111957

AMA Style

Gultyaeva E, Shaydayuk E, Kosman E. Virulence Diversity of Puccinia striiformis f. sp. Tritici in Common Wheat in Russian Regions in 2019–2021. Agriculture. 2022; 12(11):1957. https://doi.org/10.3390/agriculture12111957

Chicago/Turabian Style

Gultyaeva, Elena, Ekaterina Shaydayuk, and Evsey Kosman. 2022. "Virulence Diversity of Puccinia striiformis f. sp. Tritici in Common Wheat in Russian Regions in 2019–2021" Agriculture 12, no. 11: 1957. https://doi.org/10.3390/agriculture12111957

APA Style

Gultyaeva, E., Shaydayuk, E., & Kosman, E. (2022). Virulence Diversity of Puccinia striiformis f. sp. Tritici in Common Wheat in Russian Regions in 2019–2021. Agriculture, 12(11), 1957. https://doi.org/10.3390/agriculture12111957

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