Barley mild mosaic virus (BaMMV), transmitted by the soil-borne protist Polymyxa graminis, has a serious impact on winter barley production. Previously, the BaMMV resistance gene rym15 was mapped on chromosome 6HS, but the order of flanking markers was non-collinear between different maps. To resolve the position of the flanking markers and to enable map-based cloning of rym15, two medium-resolution mapping populations Igri (susceptible) × Chikurin Ibaraki 1 (resistant) (I×C) and Chikurin Ibaraki 1 × Uschi (susceptible) (C×U), consisting of 342 and 180 F2 plants, respectively, were developed. Efficiency of the mechanical inoculation at susceptible standards varied from 87.5–100% and in F2 populations from 90.56–93.23%. Phenotyping of F2 plants and corresponding F3 families revealed segregation ratios of 250s:92r (I×C, χ2 = 0.659) and 140s:40r (C×U, χ2 = 0.741), suggesting the presence of a single recessive resistance gene. Eight KASP assays, developed after screening the parents with the 50K Infinium chip and anchoring corresponding SNPs to the barley reference genome, were used to remap the gene. Newly constructed maps revealed a collinear order of markers, thereby allowing the identification of high throughput flanking markers. This study demonstrates how construction of medium-resolution mapping populations in combination with robust phenotyping can efficiently resolve conflicting marker ordering and reduce the size of the target interval. In an era of reference genomes and high throughput marker platforms, medium-resolution mapping will help accelerate candidate gene identification for traits where phenotyping is difficult.
Research Article
Delineating the Elusive BaMMV Resistance Gene rym15 in Barley by Medium-Resolution Mapping
https://doi.org/10.21203/rs.3.rs-485077/v1
This work is licensed under a CC BY 4.0 License
Journal Publication
published 01 Dec, 2021
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Barley yellow mosaic disease is caused by two related viruses, Barley yellow mosaic virus (BaYMV) and Barley mild mosaic virus (BaMMV). The disease can heavily impact winter barley cropping, with 40-80% yield loss in 2-rowed barley in Japan (Usugi 1988), 50% losses in Europe (Plumb et al. 1986) up to complete yield loss, e.g. in some counties of the Yangtze River Valley (Chen 1993; Chen and Ruan 1992; Chen 2005). Both viruses belong to the genus Bymovirus in the family Potyviridae and are transmitted by the root-infecting plasmodiophorid Polymyxa graminis L.However, the two causal viruses differ in their temperature optima, serological properties, RNA sequences and their ability to infect different barley genotypes (Huth and Adams 1990; Habekuß et al. 2008). Use of resistant cultivars is the most economical and environmental-friendly way to control these soil-borne viruses (Kanyuka et al. 2003). So far, 22 resistance genes against barley yellow mosaic disease have been reported, of which most are recessive genes (see review of Jiang et al. 2020). However, many of these resistance genes are no longer effective. For example, the resistance gene rym4 is ineffective against BaYMV-2, which appeared in the late 1980s, the resistance gene rym5 was overcome by the strain BaMMV-Sil in France and BaMMV-Teik in Germany (Hariri et al. 2003; Vaianopoulos et al. 2007; Habekuß et al. 2008). It may therefore be expected that this trend will continue in the future, based on this, it is essential to identify and further characterize new sources of resistance and to develop diagnostic markers for marker-assisted selection (MAS) in barley.
About half of the known virus resistance genes in crops are recessive (Kang et al. 2005; Robaglia and Caranta 2006; Wang and Krishnaswamy 2012). Plant viruses need to recruit the host cells’ machinery to complete the infectious life cycle, thus mutation in the host factors genes may result in virus resistance (Garcia-Ruiz, 2018). Several of these recessive resistance genes are isoforms of Eukaryotic Translation Initiation Factor 4E (eIF4E), and eIF4G (Moffett 2009; Hashimoto et al. 2016). Up to now, two recessive resistance genes against BaMMV/BaYMV in barley have been isolated. The resistance to BaMMV/BaYMV impaeted by the rym4/5 locus is due to the host factor gene HvEIF4E (Kanyuka et al. 2005; Stein et al. 2005), while rym1/11 resistance is caused by sequence variations of the host factor gene Protein Disulfide Isomerase Like 5-1 (HvPDIL5-1) (Yang et al. 2014a). Out of twenty-two reported BaMMV/BaYMV resistance genes, six are allelic forms of HvEIF4E, i.e. rym4, rym5, rym6, rym10, eIF4EHOR4224, eIF4EHOR3298, while two (rym1 and rym11) are allelic forms of HvPDIL51 (Perovic et al. 2014; Yang et al. 2014a; Shi et al. 2019).
The Japanese barley landrace Chikurin Ibaraki 1 is susceptible to BaYMV in Japan (Ukai and Yamashita 1980). In contrast to this, Chikurin Ibaraki 1 was found to be resistant in response to three European strains, i.e. BaMMV, BaYMV-1 and BaYMV-2 (Götz and Friedt 1993; Lapierre and Signoret 2004). Werner et al. (2003) demonstrated that an uncharacterized recessive resistance locus on chromosome 5HS effective against BaYMV and BaYMV-2 originates from Chikurin Ibaraki 1, and segregates independently from the Carola-derived rym4 resistance that is effective against BaYMV and BaMMV. Further analysis of a doubled haploid (DH) mapping population derived from the cross of the Chikurin Ibaraki 1 and the susceptible winter barley cv. Plaisant located the recessive resistance gene effective against BaMMV on the short arm of chromosome 6H that was subsequently named rym15 (Le Gouis et al. 2004). However, the study showed that the order of flanking markers EBmac0874 and Bmag0173 is inverted compared to the genetic map of Lina × Hordeum spontaneum Canada park (Ramsay et al. 2000). To date this discrepancy in the marker order spanning the resistance locus has hindered further map-based cloning efforts for rym15.
During BaMMV/BaYMV testing in fields, there are many obstacles, e.g. an uneven distribution of the virus, simultaneous occurrence of two viruses (BaMMV and BaYMV), and similarity of the symptoms (Huth et al. 1984). In addition, only one cycle of winter barley resistance testing per year highlights the demand for a reliable and efficient testing method of soil-borne viruses of barley. Consequently, the mechanical inoculation method could overcome the variation in year-to-year scoring of the resistance reaction from the same genotype in the same field that is due to the above-mentioned variable environmental factors (Friedt 1983). Up to now, several mechanical inoculation methods for BaMMV were developed, e.g. based on soaked sponge rubbing (Friedt 1983), airbrush (Adams et al. 1986), finger rubbing (Kashiwazaki et al. 1989; Habekuß et al. 2008), spraygun (Ordon and Friedt 1993) or stick with gauze (SWG) methods (Jonson et al. 2006). Those studies suggested that the additives, inoculation stage, temperature and the inoculation techniques of the virus might influence the inoculation efficiency. While BaMMV is readily transmissible, the efficiency of BaYMV is much lower and is usually below 50% (So et al. 1997). Therefore, the knowledge of various degrees of mechanical inoculation efficiency should be taken in account for optimization of map based cloning projects.
In the past 25 years, molecular markers have been increasingly used in the genetic analysis of various traits and nowadays have become the basic tool for effective mapping of resistance genes in all crop plant species (Garrido-Cardenas et al. 2018; Perovic et al. 2019). Various codominant marker platforms have been used effectively to map resistance genes in crop plants. Simple sequence repeats (SSRs) markers or microsatellites are highly polymorphic and reproducible, however they are not amenable for high throughput even in case of modified capillary systems (Perovic et al. 2013a) nor as abundant as single nucleotide polymorphism (SNP). Due to the property of abundance and high throughput, SNP markers have become the most amenable for gene mapping and breeding (Silvar et al 2011, Rasheed et al. 2017; Lu et al. 2020).
In case of barley, SNP arrays (Comadran et al. 2012; Bayer et al. 2017) provide the accurate physical marker position based on the most recent reference genome assembly data (Mascher et al. 2017, Monat et al. 2019). This feature greatly enhances the efficiency of breeding and genetic studies in barley (Perovic et al. 2020). Based on the published barley reference sequence (Mascher et al. 2017) and exome capture data (Russell et al. 2016), the 50K Illumina Infinium genotyping array was developed, featuring 49,267 SNP markers that were converted into 44,040 working assays (Bayer et al. 2017). Compared with the 9K Infinium iSelect array, which contained 7,842 markers (Comadran et al. 2012), the 50K Illumina Infinium array possesses around six times more markers, resulting in cheaper genotyping costs per sample.
The main objectives of the present study were to: construct two medium-resolution maps for the BaMMV resistance gene rym15, resolve the discrepancy in the order of flanking markers and develop robust high-throughput amenable flanking markers as a prerequisite for map based cloning of the resistance gene rym15.
Plant material
The Japanese cultivar Chikurin Ibaraki 1 was crossed to the susceptible cultivars Igri and Uschi. A set of 342 and 180 F2 plants (Supplementary Table 1), derived from the crosses Igri (susceptible) × Chikurin Ibaraki 1 (resistant) (I×C) and Chikurin Ibaraki 1 × Uschi (susceptible) (C×U), respectively, were used to construct the medium-resolution maps for BaMMV resistance gene rym15. In addition, corresponding F3 families (Supplementary Table 2) were used to verify the phenotypic results of F2 plants.
Resistance test
A set of 522 F2 plants and corresponding F3 families (Supplementary Table 2) were mechanically inoculated by the isolate BaMMV-ASL under controlled growth chamber as described previously (Perovic et al. 2014). The crossing parents and Maris Otter (positive control) were included in all 15 batches of the phenotypic analysis. Six weeks after the first inoculation, the leaves of tested plants were sampled and the double antibody sandwich ELISA (DAS‐ELISA) was carried out according to Clark and Adams (1977) using polyclonal antibodies prepared at JKI (Quedlinburg, Germany). 30 min and 60 min after addition of p-Nitrophenyl Phosphate (PNPP) substrate buffer, virus particles were estimated via extinction at 405 nm using a Dynatech MR 5000 microtiter-plate reader. Plants with an extinction E405 > 0.1 were qualitatively scored as susceptible.
Based on the phenotypic data of susceptible parental lines Igri, Uschi and positive control Maris Otter, the success rate of the mechanical inoculation method firstly was calculated by dividing the number of ELISA positive susceptible plants with the total number of inoculated ones of these three genotypes. To evaluate the inoculation efficiency in the populations, the genotypic data of susceptible F2 (homozygous/heterozygous) and F3 (homozygous) plants were compared with the phenotypic data, the efficiency was calculated using the following equation:
DNA extraction and SSR marker analysis
DNA from three parents and F2 plants was extracted according to Stein et al. (2001). The concentration and quality of DNA were estimated using the NanoDrop ND-1000 spectrophotometer (PeQLab, Erlangen, Germany). A set of six SSR markers linked to rym15 (Bmac0127, Bmac0018, Bmag0867, Bmag0870, EBmac0874 and Bmag0173; Le Gouis et al. 2004) was chosen for genotyping the parental lines and 522 F2 plants. PCR reaction consisting of 1 μL of template DNA (25-30ng/μL), 1 μL of 10×buffer, 1 μL of 25 mM MgCl2, 0.2 μL of 10 mM dNTP-Mix, 0.25 μL of each forward primer (10.0 pmol/μL) and reverse primer (10.0 pmol/μL), 0.08 μL of 5 U HOT FIREPol DNA polymerase (Solis BioDyne, Tartu, Estonia). M13-tails were added to the forward primers, for SSR amplification, so that 0.1 μL of M13 primer (10.0 pmol/μL) (5´-CAC GAC GTT GTA AAA CGA C-3´) labelled with 5´ fluorescent dyes was added to the reaction mix in a final volume of 10 μL (Macdonald et al. 2006; Perovic et al. 2013b). DNA was amplified in a GeneAmp PCR System 9700 (Applied Biosystems) for all SSR markers under the following conditions: 94 °C for 5 min; followed by touchdown PCR with 12 cycles of 30 s at 94 °C, 30 s at 62 °C, 30 s at 72 °C; and then 35 cycles with 30 s at 94 °C, 30 s at 56 °C, 30 s at 72 °C; and a final extension at 72 °C for 10 min. Amplified products (1 μL) were checked on an agarose gel (1.5 %). For the capillary based scoring 1 μL of the PCR product was mixed with Hi-DiTM formamide (Applied Biosystems) and GeneScanTM-500 ROXTM size standard (Applied Biosystems) (0.03 μL ROX: 14 μL HiDiTM formamide). The mixture was then denatured for 5 min at 94 °C and subjected to capillary electrophoresis in an ABI PRISM 3100 genetic analyzer (Applied Biosystems). Data was collected using 3130xl data collection software v3.0 (Applied Biosystems). The size of the detected alleles was determined using the GeneMapper v4.0 (Applied Biosystems).
The physical position of the SSR markers was determined by blasting forward and revers primers against the barley reference genome sequence (http://webblast.ipk-gatersleben.de/barley_ibsc/) using default parameters of blastN.
50K Illumina Infinium genotyping array and KASP marker development
The DNA of three parental lines (Chikurin Ibaraki 1, Igri and Uschi) was analyzed by using the 50K Illumina Infinium genotyping array at the company TraitGenetics (Gatersleben, Germany). Based on the Infinium 50K data, a set of eight SNPs was selected for the design of competitive allele specific PCR (KASP) assays (rym15_1, rym15_4, rym15_6, rym15_8, rym15_11, rym15_13, rym15_15, rym15_17, Supplementary Table 3) by using the website BatchPrimer3 (You et al. 2008). All eight KASPs were used to genotype the parental lines and 522 F2 plants. The PCR reaction consisted of 2.2 μL of template DNA (25-30ng/μL), 0.2 μL of common primer (10.0 pmol/μL), 0.08 μL of each allele-specific primer 1 and allele-specific primer 2 (10.0 pmol/μL), and 2.5 μL of 2×KASP Master Mix. DNA was amplified in the CFX96 Touch Real-Time PCR Detection System (BioRad) with the following conditions: 94 °C for 15 min; followed by PCR with 9 cycles (-0.6 °C / cycle) of 20 s at 94 °C, 1 min at 61 °C; and then 25 cycles with 20 s at 94 °C, 1 min at 55 °C; and a final cool down at 30 °C for 1 min. If necessary, recycling with the following conditions was performed: 94 °C for 3 min; followed by PCR with 9 cycles of 20 s at 94 °C, 1 min at 57 °C; and a final cool down at 30 °C for 1 min. The fluorescence signals from HEX and FAM for the specific alleles were detected using the same Detection System (BioRad) at 37°C after thermal cycling was complete. At the end of the run the results were displayed in the data analysis software under ‘Allelic Discrimination’ (LGC, Guide to running KASP genotyping on the BIO-RAD CFX-series instruments`).
Linkage analysis
The observed segregation ratios of F1:2 (1:3) and F2:3 (1:2:1) for the inheritance of a single recessive gene were tested using Chi-squared (χ2). Based on the genotypic and verified phenotypic data of all F2 plants, the genetic maps were constructed using the software JoinMap v.4 (Van Ooijen 2006) applying the Kosambi function (Kosambi 1944) and a LOD score of 3.
Phenotypic analysis
A set of 522 F2 plants were mechanically inoculated using BaMMV-ASL isolate. In order to test integrity of individual F2 plants, the phenotypic analysis of corresponding F3 families was conducted (Supplementary Table 4). Based on phenotyping of the F2 and F2:3 generations, 342 (I×C) and 180 (C×U) F2 plants showed the segregation of 250s:92r (χ2=0.659) and 140s:40r (χ2=0.741), respectively. Chi-square test indicated that these ratios fit to a 3s:1r segregation ratio (Supplementary Table 4). In the F3 generation, the ratio of non-segregating susceptible : segregating susceptible : resistant F2:3 plants from I×C and C×U were 74:176:92 (χ2=2.187) and 53:87:40 (χ2=2.078), respectively. Chi-square test indicated that these ratios fit to a 1:2:1 segregation ratio (Supplementary Table 4). Overall, the resistance data of F2 populations I×C and C×U suggest a single recessive gene causing resistance against BaMMV in Chikurin Ibaraki 1.
The entire phenotypic analysis of all F2 plants and corresponding F3 families was accomplished in 15 batches due to the space and time constraints in the growth chamber. Regarding analysis of susceptible control genotype, out of 204 DAS‐ELISA analyzed Maris Otter plants, seven escaped from the virus inoculation. At the same time, for the parental line Igri, five out of 40 inoculated ones escaped, while all of 36 Uschi plants were successfully inoculated. Based on these data, the inoculation rates in the susceptible control Maris Otter as well as the susceptible parental lines Igri and Uschi is 96.35%, 87.5% and 100%, respectively. In the populations I×C, 16 false positives and 13 escapes were identified amongst the F2 plants, while in the population C×U, nine plants were false positive and 13 escaped (Supplementary Table 5). Accordingly, 29 (8.47 %, I×C) and 22 (12.22%, C×U) F2 plants with the deduced F2 phenotypic data based on F2:3 phenotyping analysis were used for further linkage analysis. Based on all phenotypic data of the susceptible F2 (homozygous/heterozygous/recombinant) and F3 (homozygous) plants in the populations I×C and C×U, the efficiency of inoculation method varied from 90.56% to 93.23% (Table 1).
Molecular marker genotyping
The genotyping of three parental lines using the 50K array identified 14,863 (Chikurin Ibaraki 1 and Igri) and 13,678 (Chikurin Ibaraki 1 and Uschi) polymorphic SNPs (Figure 1; Supplementary Table 6). In total 9310 SNPs (68.06%) were identical among parental combinations. On the target chromosome 6H, 1,679 (Chikurin Ibaraki 1 and Igri) and 1,565 (Chikurin Ibaraki 1 and Uschi) SNPs were identified, of which 1,076 SNPs (68.75%) were in common.
Three parental lines were genotyped using six SSR and eight KASP markers (Table 2; Figure 2). The genotypic ratios of all markers in F2 families from both F2 populations fitted to a 1:2:1 segregation ratio (Supplementary Table 7). The physical position of all used markers was determined using the blastN alignment algorithm against both publicly available Morex assemblies (Table 2). The two distal, telomeric SSR markers Bmag0173 and Bmag0870 span around 299.78 Mb on chromosome 6H according to the Morex v2 assembly. Controversially, for the SSR marker Bmag0173 no hits on chromosome 6H in Morex v1 could be found, while the blastN alignment of the reverse primer against Morex v2 revealed a hit on chromosome 6H (Supplementary Table 8).
Medium-resolution map construction
The resistance gene rym15 was mapped between the two flanking markers rym15_1 and rym15_8 (Supplementary Figure 1) within a genetic window of 3.5 cM and 3.7 cM in the F2 populations I×C and C×U, respectively (Figure 3). At the same time, the physical size of the interval according to Morex v2 assembly was estimated to be 137 Mb. Between the two flanking markers 141 and 109 SNPs were identified at the I×C and C×U populations, respectively, of which a set of 85 SNPs (77.98%) were in common.
Following initial genetic mapping of the gene of interest, the next step towards positional isolation of candidate genes is an immediate screening of a large population with dense markers segregating at the locus of interest, commonly referred to as high-resolution mapping. In the present study, due to the non-collinear order of previously published flanking markers (Le Gouis et al. 2004; Ramsay et al. 2000) and the high rate of resistant genotypes that were identified during infection of the first batch of F2 plants, we decided to re-map the gene at medium resolution in a smaller population to resolve the previous discrepancies. Instead of developing the high-resolution mapping populations by using the previous flanking markers, analysis of 342 (I×C) and 180 (C×U) F2 plants was conducted. The main aim of this step was to take into account an actual ratio of hampered phenotyping and to optimize map base cloning by mapping the gene to a smaller interval. The use of KASP markers with a precise position in contrast to the previously flanking SSR markers (Le Gouis et al. 2004), together with the construction of a medium size mapping population, might help optimizing costs and time constrains during map based cloning.
Since the BaMMV resistance gene rym15 originates from a non-adapted landrace and is currently not used in breeding programs in Germany, a detailed evaluation of the mechanical inoculation was performed. The ELISA score revealed that 96.35%, 87.5% and 100% of susceptible control Maris Otter, and susceptible parental lines Igri and Uschi, respectively, were infected. The susceptible control cultivar Maris Otter showed a higher rate of infectivity than parental cultivar Igri, corresponding to previous studies (Yang et al. 2014b; Shi et al. 2019). At the same time, parental cultivar Uschi revealed a higher infection rate than Maris Otter, albeit with a lower number of tested plants. In the case of F2 and F3 plants, the efficiency of the mechanical inoculation varied from 90.56% to 93.23% in I×C and C×U populations, respectively. In the F2 populations we analyzed, a currently used method based on finger rubbing for mechanical inoculation revealed about 10% escapes. However, the efficiency in the present study was much higher than in similar studies (Shi et al. 2019, Pidon et al. 2020), although a similar inoculation method (Habekuß et al. 2008) was used.
The combined F2 and F2:3 analysis revealed that a single recessive resistance gene on chromosome 6H named rym15 conferring the resistance against BaMMV in the Japanese cultivar Chikurin Ibaraki 1. The order of markers in two constructed medium-resolution maps turned out to be collinear, and all mapped markers showed the same order in the genetic map and physical map according to the reference position at the Morex v1 and v2 assemblies (Mascher et al. 2017; Monat et al. 2019). In both constructed maps, the markers EBmac0874 and Bmag0173 are inverted compare to the previous map (Le Gouis et al. 2004), in addition, in the present study, the interval fixed by these two markers is out the frame of the target region containing rym15 locus. According to the physical position of the reverse primer at the Morex v2 genome assembly, the Bmag0173 revealed to be distal to EBmac0874, which corresponds to the order in the present study. These two markers have been used in several studies, and some maps show the same order as the present study (Ramsay et al. 2000; Varshney et al. 2007; Friesen et al. 2006; Gupta et al. 2011), and some show the discrepancy in the order in comparison with the present study (Cakir et al. 2003a, b; Le Gouis et al. 2004). In conclusion, the discrepancy of the SSR markers EBmac0874 and Bmag0173 is commonly known and not unique. A hypothetical explanation of discrepant mapping could be co-migration of fragments from two or more loci in certain genotypes versus presence of single bands in other genotypes.
The high-quality barley reference sequences Morex v1 and Morex v2 (Mascher et al. 2017, Monat et al. 2019) provide more precise information than the draft barley genome sequence (The International Barley Genome Sequencing Consortium, 2012). The study of leaf rust resistance gene RphMBR1012 (Fazlikhani et al. 2019) has shown the efficient use of the barley reference sequence (Morex v1), especially in marker saturation. In the present study, the SNPs derived from the 50K Illumina Infinium genotyping array were positioned on the physical map based on the published barley reference sequence. For the previous flanking SSR marker Bmag0173, no information about physical position on chromosome 6H could be found in Morex v1, while based on the Morex v2 assembly, the physical position of the reverse primer provide more precise information, thus could be used as reference information when comparing the order of these two previous flanking markers, reflected the improvement of Morex v2 compare to the Morex v1.
A major constraint in map based cloning projects is the interplay between the size of the target region defined by flanking markers and the number of F2 plants needed for delineation of a single candidate gene. However, barley and other Triticeae are rich in repetitive DNA which hampers gene isolation (Krattinger et al. 2009). Nevertheless, nowadays, based on the reference sequence of Morex, high-throughput genotyping, (e.g. via genotyping-by-sequencing or high-density SNP-arrays) can considerably improve the efficiency of marker development in barley. In the present study, the KASP markers were developed in a short time based on the screening of parental lines by using 50K Illumina Infinium genotyping array. The medium-resolution maps we constructed provide more reliable results for delineating the target gene. In case of incorrectly scored phenotypes this step greatly reduces the risk that a gene of interest may lie outside of putative flanking markers which span a very short interval.
The next step for isolating the resistance gene rym15 is the construction of a high-resolution map. For this, high resolution mapping populations will be constructed by screening the newly developed, robust flanking markers in around 8000 F2 plants from both F2 populations. For marker saturation, a set of 85 informative SNP markers was identified between the flanking markers rym15_1 and rym15_8 based on the 50K SNP array screen. Based on information on corresponding candidate genes (High-Confidence and Low-Confidence) in the genome interval covered by these SNPs, promising genes will be selected for marker development for further saturation of the rym15 locus. Meanwhile, the KASP markers developed in the present study can already be efficiently used in breeding programs attempting to transfer rym15 to elite barley cultivars.
Funding
The presented work was supported by grant No.031B0199 of the Federal Ministry of Education and Research (BMBF), Germany.
Authors' contributions
FO and DP conceived and designed the study; AH provided the material and performed phenotypic analysis; YP performed the experiments; YP and DP analyzed the data and drafted the manuscript; All authors read and approved the final manuscript.
Availability of data and materials
All data are given in the manuscript, for materials please contact the corresponding author.
Conflict of interest
The authors declare no competing interests.
Code availability
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Consent for publication
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Ethics approval and consent to participate
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Acknowledgements
The authors thank Dr Peter Dracatos and Dr Dejana Pankovic for valuable comments during writing the manuscript and Katy Niedung for an excellent technical assistance.
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Due to technical limitations, table 1 and 2 is only available as a download in the Supplemental Files section.
- Supplementaryfigure1.tif
Supplementary Figure 1: Flanking markers for rym15. a) Observed segregation from the marker rym15_1 in F2 families from the population Igri × Chikurin Ibaraki 1 as illustrated by the distinct clustering of resistance (orange) heterozygote (green) and susceptible (blue). b) Observed segregation from the marker rym15_8 in F2 families from the population Igri × Chikurin Ibaraki 1 as illustrated by the distinct clustering of susceptible (orange) heterozygote (green) and resistance (blue).
- Supplementarytables.xlsx
- Table1.xlsx.docx
- Table2.xlsx.docx