To map the TRTTF resistance gene, the Kronos sr13 mutant line T4-3102, carrying a premature stop codon in the LRR domain, was crossed with the susceptible durum line Rusty (Klindworth et al., 2006). For the initial map, we evaluated a subset of 90 F₂ plants with Pgt race TRTTF (isolate 06YEM34-1) and a separate subset of 145 F₂ plants from the same population with BCCBC (isolate 09CA115-2). We tested the observed segregation ratios using χ² tests.

For the construction of the high-resolution genetic map, we selected four F₂ plants (plants 17, 31, 47, and 87) heterozygous for the SrKN candidate region using molecular markers and produced 1,468 F₃ plants. These plants were genotyped with SrKN flanking markers to identify recombination events in the candidate gene region. The plants carrying these recombination events and their F₄ progenies were challenged with Pgt races BCCBC and 34MKGQM.

To evaluate the resistance profile of SrKN to multiple Pgt races, we developed a pair of F₅ sister lines homozygous for the presence (Td31-5R) or absence (Td31-7S) of SrKN using molecular markers and their levels of resistance to race BCCBC. This additional criterion was used to eliminate a minor Sr resistance gene present in T4-3102 that confers a mild resistance to BCCBC but not to TRTTF (as shown in the Results section). Td31-7S was F₄ plant number 7 from F₃ family 31, which was very susceptible to BCCBC. Td31-5R was F₄ plant number 5 from the same segregating family, which carried the SrKN based on the flanking markers, but that showed an intermediate resistance reaction to BCCBC (we assumed that the very resistant parental line T4-3102 carries both genes).

Finally, we used a collection of 23 accessions of T. turgidum ssp. durum and 16 of T. aestivum to determine the value of the closely linked markers identified in this study for marker-assisted selection.

The infection types (IT) of mutant line T4-3102 and Rusty to Pgt races TTKSK (isolate 04KEN156/04), TRTTF (06YEM34-1), TKTTF (13ETH18-1), and JRCQC (09ETH08-3) were reported in the previous study (Zhang et al., 2017). In this study, the parental lines T4-3102 and Rusty, and their segregating populations were re-evaluated with races TRTTF (06YEM34-1) and BCCBC (09CA115-2) at the United States Department of Agriculture-Agricultural Research Service (USDA-ARS) and Cereal Disease Laboratory and the University of California, Davis (UCD), respectively. Evaluations with four Chinese Pgt races 21C3CTTTM (20GH13), 34MKGQM (20IAL06), 34MTGSM (20GSA1), and 34C3RTGQM (20IAL32) were performed at Peking University Institute of Advanced Agricultural Sciences, Weifang, Shandong, China.

The avirulence/virulence formulae of the Pgt races used in this study are presented in Supplementary Table S1. The procedures for inoculation were as described previously (Rouse et al., 2011) and ITs were scored using a 0–4 scale also described before (Stakman et al., 1962; Rouse et al., 2011; Chen et al., 2015). The additional symbols “+” or “–” were used to indicate larger or smaller pustules within the same IT (Roelfs and Martens, 1988).

Genomic DNA of the parents and F₂ plants was extracted using the cetyltrimethylammonium bromide (CTAB) method (Murray and Thompson, 1980). The quality and quantity of DNA were measured using a NanoDrop Spectrophotometer (Thermo Fisher Scientific, MA, USA) and normalized to 50 ng/μl. We genotyped the parental lines and 46 F₂ plants at the USDA-ARS Small Grain Genotyping Lab at Fargo (ND, USA) with the wheat 90K SNP iSelect Illumina platform (Wang et al., 2014). The SNP genotype calling was processed using Illumina GenomeStudio v.2011.1 (Illumina Inc., CA, USA). The polymorphic SNP markers with more than 20% missing values were removed.

Once the linked SNPs were identified using the 90K SNP array, their flanking sequences were used to perform BLASTN (Basic Local Alignment Search Tool for nucleotide sequence) searches in the reference genomes of hexaploid wheat Chinese Spring (CS) (The International Wheat Genome Sequencing Consortium, 2018) and tetraploid wheat Svevo (Maccaferri et al., 2019) to define the SrKN candidate region in these two genomes. To accelerate the development of markers in the candidate region, we performed exome-capture for the susceptible parent Rusty (accession number PRJNA751176), since the sequence of Kronos assembly (Walkowiak et al., 2020) was already available. Genomic library preparation, exome capture, sequencing, and data analysis were conducted using the same methods as described before (Krasileva et al., 2017; Mo et al., 2018). We aligned the Rusty and Kronos sequences of the genes in the candidate region, identified the polymorphic sites, and generated sequence-based markers spaced throughout the candidate gene region.

DNA amplification was carried out in a Veriti 96-Well Fast Thermal Cycler with the following thermal cycling profile: an initial denaturation step of 94°C for 3 min, followed by 35 cycles consisting of 94°C for 30 s, annealing at 50–65°C for 30 s, and extension at 72°C for 60 s, ending with a final step at 72°C for 10 min. After the PCR amplification, 10 μl PCR products were subjected to agarose gel electrophoresis (~1.5% agarose), and the gels were stained with ethidium bromide.

The tetraploid durum wheat variety Vernal was originally hypothesized to have both Sr9e and Sr13 (Saini et al., 2018). However, using a published diagnostic marker for Sr13 (Zhang et al., 2017), we found that Vernal carries the Sr13 susceptible haplotype (S7). To obtain the Sr9e monogenic line, Vernal was crossed with susceptible line Rusty, and the resulting F₁ was backcrossed two times with Rusty. The presence of the Vernal allele in the Sr9e region was monitored during backcrossing using the cleaved amplified polymorphic sequence (CAPS) markers pku4861F7R7 and pku4922F1R2. The Sr9e monogenic line (referred hereafter as Vernal-BF9e) was selected from the BC₂F₂ plants. An allelism test between SrKN and Sr9e was carried out using 470 F₂ plants derived from the cross between the monogenic lines Td31-5R (SrKN) × Vernal-BF9e (Sr9e) inoculated with Pgt race 34MKGQM.

Triticum turgidum subsp. durum wheat variety Kronos was crossed with the T. monococcum wheat accession PI 306540 (A^mA^m) as described before (Chen et al., 2020). The resulting F₁ triploid plants were completely male sterile and were crossed with common wheat variety Clear White (PVP 2004-00244). Next, the F₁ plants were backcrossed to the hexaploid wheat line Fielder. Flanking and completely linked PCR markers (Table 2) were used to validate the presence of Kronos segment, including SrKN during backcrossing. One BC₂F₂ plant heterozygous for the SrKN candidate chromosome region and without other Sr resistance genes was self-pollinated. The selected BC₂F₃ plants were divided into two groups and inoculated with Pgt races 34MKGQM and 34C3RTGQM, respectively. After phenotyping, the BC₂F₃ plants homozygous for SrKN were transplanted and then, self-pollinated to generate the BC₂F₄ seeds.

We mapped the Rusty reads from the exome capture on the Kronos assembly and called SNPs using SAMtools. We generated the pileup files and used BCFtools for variant calling (http://samtools.sourceforge.net/). The variants with a sequencing depth of ≤ 5 and mapping quality of ≤ 50 were removed for subsequent analysis. The polymorphic markers and the stem rust resistance phenotypes were used to construct the genetic linkage maps using the software JoinMap 4.0 and MapChart 2.2 (Kyazma BV, Wageningen, Netherlands; https://www.wur.nl/en/show/Mapchart.htm) (Stam, 1993; Voorrips, 2002; Van Ooijen, 2006). The BLASTN searches against the hexaploid wheat CS (https://wheat-urgi.versailles.inra.fr/Seq-Repository/BLAST), and the tetraploid wheat Svevo and Kronos (https://wheat.pw.usda.gov/blast/) were used to assist the marker development.

In the seedling tests, the durum wheat line T4-3102 displayed resistant ITs (ITs = 1; to 1+) to Pgt race TRTTF (isolate 06YEM34-1), whereas Rusty exhibited ITs of “3+” to “4” (Figure 1A). In a subset of 90 F₂ plants from the cross, T4-3102 × Rusty evaluated with TRTTF, the plants with ITs ranging between “1;” and “1+” (similar to T4-3102) were classified as resistant and those with ITs from “3+” to “4” (similar to Rusty) were recorded as susceptible (Figure 1A). Among them, 69 plants were resistant and 21 were susceptible, which fits well the 3:1 (resistant:susceptible) segregation ratio expected for a single genetic locus (χ² = 0.13, P = 0.72).

In seedling of the two parental lines inoculated with race BCCBC (09CA115-2), T4-3102 exhibited high levels of resistance (ITs = 0; to 1–), whereas Rusty was fully susceptible (ITs = 3+ to 4; Figure 1B). We evaluated another subset of 145 F₂ individuals from the same population with race BCCBC and found some F₂ plants with intermediate reactions (Supplementary Figure S1), likely due to additional minor Sr gene(s) in T4-3102 resistant to this race. We converted the Pgt reactions into two genotypic classes for the mapping purposes: ITs ranging from “0” to “2–” were considered as resistant and ITs from “3+” to “4” as susceptible [20 plants with intermediate reactions (ITs = “2+” to “3”) were discarded in the classification]. Among the 125 F₂ plants showing clear phenotypic segregation, we observed 97 resistant plants and 28 susceptible ones, which did not deviate from the expected 3:1 segregation ratio for a single dominant gene (χ² = 0.45, P = 0.50).

For the initial mapping, we genotyped the parental lines and the more susceptible and resistant lines from the two sub-populations evaluated with TRTTF and BCCBC using the 90K SNP iSelect Illumina assay. For the 90 F₂ plants inoculated with race TRTTF, we genotyped 10 resistant and 10 susceptible plants, whereas, for the 125 F₂ plants challenged with race BCCBC, we genotyped 13 resistant and 13 susceptible phenotypes. We identified 4,652 polymorphic SNPs with <20% missing data between T4-3102 and Rusty. Of those, we detected 19 SNPs (Table 1) on the long arm of chromosome 2B that were significantly correlated with both TRTTF and BCCBC resistance phenotypes, suggesting that the same Sr gene was conferring resistance to both races. These SNPs were distributed from 106.5 to 119.6 cM (Table 1) in the 90K consensus map of chromosome 2B (https://triticeaetoolbox.org/wheat/). Based on a preliminary linkage map constructed using the 46 genotyped plants (Figure 2A), the TRTTF- and BCCBC-resistance gene SrKN was mapped to a 3.2 cM region between the SNPs IWB73343 and IWB35200.

Using the sequences flanking the target SNPs, we performed BLASTN searches against the reference genome of hexaploid wheat CS (RefSeqv1.0). This defined a candidate gene region on the long arm of chromosome 2B extending from 666.5 to 691.8 Mb (Table 1). Since flanking SNP markers IWB73343 and IWB35200 were located within the wheat genes TraesCS2B01G470100 and TraesCS2B01G494800, we developed B-genome specific PCR markers IWB73343F1R1 and IWB35200F1R1 (Table 2) using these two genes sequences. Using these markers, we genotyped the 215 F₂ plants previously phenotyped with races TRTTF (90 plants) and BCCBC (125 plants), which provided a better estimate of the genetic length of the candidate region (2.3 cM). Based on this new data, SrKN was mapped 1.6 cM distal to IWB73343F1R1 and 0.7 cM proximal to IWB35200F1R1 (Figure 2B). We then developed molecular markers for seven additional genes within the candidate gene region (Figure 2B; Table 2) and mapped SrKN between CAPS markers pku4844F2R1 and IWB35200F1R1, and completely linked to markers pku4856F2R2 and pku4922F2R2 (Figure 2B).

To define the position of SrKN more precisely, we screened another 1,468 plants from four selected segregating F₃ families with the new flanking markers pku4844F2R1 and IWB35200F1R1. The distance between these two flanking markers was estimated to be 1.6 cM based on the 50 plants with recombination events identified in this screen and the four recombinants identified between these same markers in the previous 215 plants. For these 54 informative F₃ families, we performed progeny tests (25 plants per family) with races BCCBC and 34MKGQM in growth chambers. Using these new recombination events and six new markers developed in this region (Table 2; Supplementary Figure S2), we further delimited the SrKN candidate region to a 0.29-cM interval (7.2-Mb, CS RefSeq v1.0 coordinates) flanked on the proximal side by marker pku4856F2R2 (0.26 cM) and on the distal side by pku4917F3R3 (0.03 cM) (Figure 2C).

The 0.29 cM candidate region between the markers pku4856F2R2 and pku4917F3R3 defines a 5.6-Mb region in T. turgidum ssp. durum cv. Svevo (672.6–678.2 Mb, Supplementary Table S2) and a 7.2-Mb region in T. aestivum cv. CS (682.8–690.0 Mb, Figure 2D; Supplementary Table S3). These candidate gene regions include 52 annotated high-confidence genes in Svevo (TRITD2Bv1G223060–TRITD2Bv1G224370) and 59 in Chinese Spring (TraesCS2B02G485600–TraesCS2B02G491700) (Figure 2D). These genes included nine typical NBS-LRR (NLR) in Svevo and six in CS, which is of particular interest for this project because NLRs are the most frequent gene class associated with disease resistance in the plants.

Among the 52 genes annotated in the candidate gene region in the Svevo genome, we found that 35 of them were expressed in Kronos, based on BLASTN searches in the published Kronos transcriptome database (Krasileva et al., 2013) (https://dubcovskylab.ucdavis.edu/wheat_blast). The expressed genes include seven of the nine annotated NLR genes (TRITD2Bv1G223210, TRITD2Bv1G223370, TRITD2Bv1G223450, TRITD2Bv1G223460, TRITD2Bv1G223490, TRITD2Bv1G223550, and TRITD2Bv1G223640). We designed two to four pairs of primers for each of the seven expressed NLR genes and all of them amplified the expected bands in Kronos genomic DNA (Supplementary Table S4). By contrast, only two of the 22 primers pairs (TRI2B223210F7R7 and TRI2B223490F3R3) amplified products in Rusty, suggesting that these NLRs may be absent in Rusty (or partially deleted). To rule out the possibility that the lack of amplification in Rusty was caused by degraded DNA, the same genomic DNAs were tested with the primers pku4856F2R2, pku4861F7R7, pku4886F3R3, pku4907F1R1, and pku4917F3R3 (Table 2) and the expected bands were obtained in Rusty (Supplementary Table S4). We cannot rule out the possibility that some of the primers that failed to amplify the Rusty genomic DNA were caused by polymorphisms in the primer regions rather than by the absence of the genes.

To determinate the value of the haplotype defined by the two flanking markers and three completely linked polymorphisms, we developed one Insertion/deletion (InDel) and four CAPS markers and used them to screen a panel of durum and bread wheat lines. The same lines were evaluated with Pgt race 34MKGQM (Supplementary Table S5). T4-3102 (SrKN) and Vernal (Sr9e) showed an identical haplotype indicating that these five markers are not sufficient to differentiate these genes/alleles. By contrast, Rusty differed from T4-3102 in all the five polymorphisms (Supplementary Table S5) indicating a very different haplotype.

Among the 20 durum lines compared with T4-3102 (SrKN), Vernal (Sr9e), and Rusty, only Svevo and Langdon showed a haplotype identical to SrKN and Sr9e. These four lines also displayed a similar resistance response against race 34MKGQM, suggesting that Svevo and Langdon might carry SrKN or Sr9e. Eleven lines carried the Rusty haplotype and were susceptible to 34MKGQM (Supplementary Table S5), confirming the absence of SrKN in these lines. Among the other seven lines, four showed the same haplotype as Rusty but higher levels of resistance than T4-3102 suggesting the presence of other Sr genes. The last three lines showed different haplotypes from the three control lines and resistance levels higher than SrKN or Sr9e, also suggesting the presence of other Sr genes (Supplementary Table S5). Indeed, four of them were confirmed to carry the cloned gene Sr13 and the line PI 94701 was known to possess the resistance gene Srdp2 (Rondon et al., 1966) (Supplementary Table S5).

Among the 16 hexaploid wheat lines analyzed, we detected the SrKN/Sr9e haplotype in Vernstein (Sr9e), CnSr9g, and ISr9a-Ra, suggesting that these markers were not able to differentiate SrKN from Sr9g and Sr9a. All the tested hexaploid wheat lines were susceptible to race 34MKGQM except Vernstein (Supplementary Table S5). In summary, the five polymorphisms seem to be useful to predict the presence of the SrKN allele, but they cannot differentiate it from the more susceptible alleles Sr9g and Sr9a.

To transfer the resistance gene SrKN to hexaploid wheat, we took advantage of the crosses previously used to transfer several T. monococcum resistance genes into hexaploid wheat (Figure 4). We first crossed Kronos with the T. monococcum accession PI 306540 (A^mA^m), which carries the additional stem rust resistance genes Sr21, Sr60, SrTm4, and SrTm5 (Briggs et al., 2015; Chen et al., 2018a,b; Chen et al., 2020). The resulting F₁ triploid plants were crossed with common wheat variety Clear White (PVP 2004-00244) and then backcrossed two times to the hexaploid wheat line Fielder, which is susceptible to the Pgt races 34MKGQM and 34C3RTGQM. Four PCR markers pku4856F2R2, pku4861F7R7, pku4886F3R3, and pku4917F3R3 were used to confirm the presence of the Kronos segment in the final BC₂F₂ lines. Markers for the other T. monococcum genes identified one BC₂F₂ plant heterozygous for SrKN but lacking all the other parental Pgt resistance genes Sr21, Sr60, SrTm4, SrTm5 (from T. monococcum), and Sr13 (from Kronos).

In the BC₂F₃ progeny derived from the selected BC₂F₂ plant, we identified eight plants homozygous for SrKN alone and six plants without any Sr genes (Supplementary Figure S4). Half of the plants from each genotype were inoculated with race 34MKGQM and the other half with 34C3RTGQM. The plants carrying SrKN exhibited good levels of resistance (IT = 1+) to both races, whereas plants lacking SrKN showed susceptible reactions (IT = 3+ to 4) to the same races (Figure 4). We are currently increasing the seeds from the plants carrying only SrKN to deposit them in the National Small Grain Collection in the United States and the Germplasm Bank of China.

A previous study postulated that, in addition to Sr13, the durum wheat variety Kronos carries an undetermined stem rust resistance gene effective against Pgt race TRTTF (Zhang et al., 2017). In this study, we mapped this TRTTF-resistance gene SrKN within a 0.29 cM region on the distal region of chromosome arm 2BL using a high-density genetic map.

Using the published sequenced genomes of tetraploid and hexaploid wheat (The International Wheat Genome Sequencing Consortium, 2018; Maccaferri et al., 2019), we delimited the SrKN candidate gene region to a 5.6-Mb region in tetraploid wheat Svevo and a 7.2-Mb region in hexaploid wheat CS (Supplementary Tables S2, S3) including a cluster of NLR genes. Since NLR genes are the most frequent class associated with disease resistance in wheat and other plant species (Gassmann et al., 1999; Yuan et al., 2011; Saintenac et al., 2013; Zhang et al., 2014, 2017; Chen et al., 2018b; Li et al., 2019), we hypothesize that one of these genes could be a good candidate for SrKN. This hypothesis is supported by the complete linkage of this cluster to SrKN and by their likely absence in the susceptible parent Rusty (Supplementary Table S4). Similar to the SrKN candidate region, deletions, rearrangements, and duplications of NLR genes have been described for other cloned wheat NLR genes involved in resistance to Pgt, such as Sr21 and Sr13 (Zhang et al., 2017; Chen et al., 2018b). To determine if these NLR genes were required for resistance to TRTTF, we are currently testing truncation mutations for each gene from the published database of sequenced ethyl methane sulfonate (EMS) mutations in Kronos (Krasileva et al., 2017).

Since we do not have a contiguous sequence of the Kronos genome, we cannot rule out the possibility of additional NLR genes present in Kronos that are absent in the Svevo reference genome. However, this is unlikely because the sequences of all the genes in the candidate region (Supplementary Table S2, from start to stop codons) were 100% identical between Kronos and Svevo, suggesting that these two varieties have a very similar or identical haplotype in this region. In addition, Svevo has a similar resistance response against race 34MKGQM (Supplementary Figure S3; Supplementary Table S5). Taken together, these results suggest that Svevo may also carry SrKN or Sr9e. If this is confirmed, the availability of the Svevo genome can accelerate the identification of the causal gene.

In addition to gene SrKN, previous studies have identified other four stem rust resistance loci on chromosome arm 2BL (Sr9, Sr16, Sr28, and Sr47) (McIntosh et al., 1995; Klindworth et al., 2012; Rouse et al., 2012). Among these genes, Sr47 confers resistance to race TTKSK and was transferred from Aegilops speltoides Tausch into polyploid wheat (Klindworth et al., 2012). Gene Sr16 is not effective against race TRTTF (Singh et al., 2015), and Sr28 showed a very different resistance profile to SrKN in this study (Table 3). The genetic analysis using a shared SSR marker indicates that Sr28 is located about 20 cM distal to SrKN (Figure 3). Gene Sr16 was placed approximately 34 cM distal to Sr28 by using monosomic analysis (~54 cM distal to SrKN) (McIntosh, 1978; Hiebert et al., 2010). Based on these data, we concluded that SrKN is different from genes Sr16, Sr28, and Sr47.

Conflictive or inconclusive results were reported regarding the mapping locations of Sr9. Gene Sr9e was initially mapped approximately 0.7 cM proximal to SSR marker gwm47 (685,759,255 bp, RefSeq v1.0 coordinates) (Bhavani et al., 2008). By contrast, another Sr9 allele, Sr9h, was mapped 2.8 cM distal to the same marker (Rouse et al., 2014). A recent study showed that the Sr9 locus is located within a region of chromosome 2B between 665.7 and 720.5 Mb in the reference genome of CS (RefSeq v1.0) (Aoun et al., 2019), which includes our proposed candidate region for SrKN (682.9–690.0 Mb). In addition, another recent study has mapped a TRTTF resistance quantitative trait locus (QTL) derived from tetraploid wheat accession Langdon on chromosome 2BL, which was designated as QSr.rwg-2B.2 and was hypothesized to be Sr9e (Sharma et al., 2021). Although the authors suggested that this QTL was mapped between the SNP markers IWB71742 (738.3 Mb, RefSeq v1.0) and IWB73196 (738.4 Mb), this QTL extends to a much larger region from IWB3657 (593.6 Mb) to IWB11280 (750.0 Mb) that includes our candidate gene region. Previous studies postulated that Langdon carries Sr9e (Luig, 1983; Singh et al., 1992), a conclusion supported by our analysis of the Langdon haplotype in the Sr9e region, which is identical to the one we found in Kronos (Supplementary Table S5).

We initially thought SrKN and Sr9e were different genes because Sr9e was reported to be susceptible to race TRTTF (Olivera et al., 2012) and SrKN is not. However, more recent reports suggested that Sr9e conferred partial resistance to race TRTTF (Saini et al., 2018; Sharma et al., 2021). If this last result is confirmed to be correct, then the resistance profiles of SrKN and Sr9e would be identical. Taken together, the allelism test and the similar resistance profiles (Table 3) suggest (but do not demonstrate) that SrKN and Sr9e might be the same gene.

As durum and bread wheat have common A and B genomes, it is relatively easy to introgress important genes into bread wheat from T. durum. Several rust resistance genes have been identified and transferred from durum to hexaploid wheat, including the stripe rust resistance genes Yr5 (Zhang et al., 2009), Yr53 (Xu et al., 2013), Yr64, and Yr65 (Cheng et al., 2014); the leaf rust resistance genes Lr23 (McIntosh et al., 1995; Sibikeev et al., 2020), Lr61 (Herrera-Foessel et al., 2008), and Lr79 (Qureshi et al., 2018); and the stem rust resistance genes Sr12 (Sheen and Snyder, 1964), Sr13 (Simons et al., 2011; Zhang et al., 2017), and Sr8155B1 (Nirmala et al., 2017). Using the cross of Kronos (AABB) × PI 306540 (A^mA^m), we successfully introgressed SrKN into hexaploid wheat line Fielder. The same cross was also used to introgress the stem rust resistance gene Sr60 and SrTm5 from diploid wheat accession PI 306540 into the common wheat lines UC12014-36 and Fielder, respectively (Chen et al., 2018a, 2020).

Although the crosses between tetraploid and hexaploid wheat can generate viable pentaploid plants, some of these crosses result in hybrid necrosis limiting their use in commercial breeding programs. Therefore, the introgression of SrKN into a common wheat background will facilitate the utilization of this resistance gene in common wheat breeding programs. Since SrKN is not effective against several virulent Pgt races (Zhang et al., 2017), including the Ug99 race group and race TKTTF, it is important to deploy it in combination with other Sr genes. Some potentially useful combinations to expand the resistance spectrum include Sr21 (Chen et al., 2015), SrTm5 (Chen et al., 2018a), Sr36 (Singh et al., 2015), Sr1RS^Amigo (Olivera et al., 2012), and SrTmp (Singh et al., 2015), which are susceptible to Pgt race TRTTF but confer resistance to TTKSK (Ug99).

In conclusion, the high-density map of SrKN, the closely linked molecular markers, and the introgression of the T. durum segment containing this gene into hexaploid wheat will accelerate its deployment and pyramiding with other Sr genes.