Quantitative trait locus analysis of resistance to panicle blast in the rice cultivar Miyazakimochi
© Ishihara et al; licensee Springer. 2014
Received: 29 January 2014
Accepted: 27 March 2014
Published: 10 April 2014
Rice blast is a destructive disease caused by Magnaporthe oryzae, and it has a large impact on rice production worldwide. Compared with leaf blast resistance, our understanding of panicle blast resistance is limited, with only one panicle blast resistance gene, Pb1, isolated so far. The japonica cultivar Miyazakimochi shows resistance to panicle blast, yet the genetic components accounting for this resistance remain to be determined.
In this study, we evaluated the panicle blast resistance of populations derived from a cross between Miyazakimochi and the Bikei 22 cultivar, which is susceptible to both leaf and panicle blast. The phenotypic analyses revealed no correlation between panicle blast resistance and leaf blast resistance. Quantitative trait locus (QTL) analysis of 158 recombinant inbred lines using 112 developed genome-wide and 35 previously reported polymerase chain reaction (PCR) markers revealed the presence of two QTLs conferring panicle blast resistance in Miyazakimochi: a major QTL, qPbm11, on chromosome 11; and a minor QTL, qPbm9, on chromosome 9. To clarify the contribution of these QTLs to panicle blast resistance, 24 lines homozygous for each QTL were selected from 2,818 progeny of a BC2F7 backcrossed population, and characterized for disease phenotypes. The panicle blast resistance of the lines harboring qPbm11 was very similar to the resistant donor parental cultivar Miyazakimochi, whereas the contribution of qPbm9 to the resistance was small. Genotyping of the BC2F7 individuals highlighted the overlap between the qPbm11 region and a locus of the panicle blast resistance gene, Pb1. Reverse transcriptase PCR analysis revealed that the Pb1 transcript was absent in the panicles of Miyazakimochi, demonstrating that qPbm11 is a novel genetic component of panicle blast resistance.
This study revealed that Miyazakimochi harbors a novel panicle blast resistance controlled mainly by the major QTL qPbm11. qPbm11 is distinct from Pb1 and could be a genetic source for breeding panicle blast resistance, and will improve understanding of the molecular basis of host resistance to panicle blast.
KeywordsOryza sativa L Magnaporthe oryzae Panicle blast resistance QTL
Rice blast is caused by the fungus pathogen Magnaporthe oryzae, and is one of the most destructive diseases of rice (Oryza sativa) worldwide. The disease pathosystem comprises two major interrelated phases: leaf blast and panicle blast, with reproduction of the blast fungus on leaves serving as an infective source for panicle blast (Ou ). The fungus infects panicles as well as leaves, and prevents grain filling after heading (Katsube and Koshimizu ). Many leaf blast resistant rice cultivars have been identified (Miah et al. ), and introducing leaf blast resistance traits into rice cultivars is one strategy to reduce the incidence of rice blast on panicles.
In general, the use of resistance traits in crop cultivation is a promising and effective method for disease control. This is because resistance results in lower disease severity and reduces the need for chemical applications, thus reducing environmental impacts as well as production costs. Compared with leaf blast resistance, less is known about the genetic components for panicle blast resistance, which is indispensable for stable rice production. The development of genetic resources for rice panicle blast resistance has been limited due to the lack of a standardized method that evaluates panicle blast resistance using a stable artificial inoculation technique, either under an incubator or/and in greenhouse conditions. Presently, field assays under natural conditions are performed to evaluate panicle blast resistance once a year in Japan (Fujii and Hayano-Saito ); these assays require replication over several years for precise assessment. In the field, disease severity is largely affected by weather conditions within the rice-growing period. Furthermore, variations in heading date among individual plants further complicate the evaluation of resistance levels. These technical problems are obstacles to the exploration of new gene resources and the progress of genetic analysis of rice panicle blast resistance.
In Japan, only a few rice cultivars harboring panicle blast resistance have been identified: Tsukinohikari (Koumura et al. [1985a]); Zyugoyamochi (Koumura et al. [1985b]); and Miyazakimochi (Uchiyamada et al. )]. To date, Pb1, derived from the indica cultivar Modan, is the only known gene for panicle blast resistance. Pb1 has been introduced into commercial rice cultivars in Japan (Fujii and Hayano-Saito ), and cultivars have remained resistant to panicle blast for over 30 years, demonstrating the durability of Pb1-dependent resistance (Fujii et al. ). Nevertheless, novel genetic resources for the stable application of panicle blast resistance are being considered in preparation for the emergence of new virulent M. oryzae races.
Characterization of resistance to panicle blast in Miyazakimochi
In the experimental paddy field, Miyazakimochi showed resistance to panicle blast, whereas panicles of the susceptible cultivar Bikei 22 were severely damaged (Figure 1). To characterize the panicle blast resistance of Miyazakimochi in more depth, we performed field assays using three generations developed from a cross of Miyazakimochi and Bikei 22. This was performed at three different experimental fields (Figure 2): F3 lines in Daisen (2000, Akita Prefecture); RILs at the F6 generation in Gozenyama (2003, Ibaraki Prefecture); and F7 RILs in Inabu (2011, Aichi Prefecture). In these fields, the pathogenic Japanese race (007.0), which is virulent to both Miyazakimochi and Bikei 22, is dominant, and local conditions are suitable for blast disease development.
The resistance score of Miyazakimochi ranged from 0.83 to 2.83 (average 1.83) in Daisen, and from 4.33 to 5.17 (average 4.68) in Gozenyama, but showed nearly susceptible scores, from 5.43 to 6.40 (average 5.82) in Inabu. Although the panicle blast severity scores of Miyazakimochi fluctuated at the three fields, the range in scores of Miyazakimochi never overlapped those of Bikei 22. The differences in average panicle blast severity scores between Miyazakimochi and Bikei 22 were statistically significant at P < 0.01 (Student's t test with Box-Cox transformation), clearly demonstrating the difference in panicle resistance between the two cultivars.
To determine whether leaf blast resistance affects panicle blast in Miyazakimochi, we examined three generations of 78 F3 lines assayed in Daisen, 171 F6 RILs in Gozenyama, and 158 F7 RILs in Inabu for resistance to leaf and panicle blast (Figure 3D, E, and F). In terms of leaf blast severity, Miyazakimochi and Bikei 22 were almost indistinguishable in the three fields. The correlation coefficients between the panicle and leaf blast severity scores were approximately 0.29 in the F3 lines, 0.44 in the F6 RILs, and 0.03 in the F7 RILs, which implied a weak positive linear relationship between the leaf blast resistance and panicle blast resistance of Miyazakimochi.
QTL analysis for panicle blast resistance
Contribution of qPbm11 and qPbm9 to panicle blast resistance
In the evaluation of panicle blast severity in the BC2F8 lines derived from each of the 24 BC2F7 individuals, a clear difference was observed between groups harboring qPbm11 (Types 1 and 2) and those lacking qPbm11 (Types 3 and 4). The average disease severity scores of Types 1 and 2 were significantly lower than those of Types 3 and 4 (P < 0.01). There was no significant difference at P < 0.01 between Type 1 and Type 2 and between Type 3 and Type 4, respectively. Nevertheless, a statistically significant difference was observed between Type 3 and Type 4 at P < 0.05. The result indicated that the effect of qPbm9 was small.
Differences between qPbm11 and Pb1
Rice panicle blast is a serious disease that directly reduces the number of grain fillings, and the weight and quality of grains. Therefore, control of panicle blast is very important for stable rice production. Reducing the reproduction of rice blast on leaves leads to a reduction in the opportunity for blast infection of the panicles. Many leaf blast resistance genes, including pi21, Pi34, Pi35, and Pi39 have been introgressed into rice cultivars (Fukuoka and Okuno ; Zenbayashi et al. ; Nguyen et al. ; Terashima et al. ), and these cultivars are used to control panicle blast indirectly. There are far fewer reports of genetic analyses of rice panicle blast resistance compared with leaf blast resistance. Only Pb1, derived from the indica cultivar Modan, is currently used in rice breeding in Japan. We have demonstrated that Miyazakimochi shows clear resistance to panicle blast, even under high-pressure conditions of blast disease. We identified new QTLs for panicle blast resistance through QTL analysis of progeny populations derived from a cross between the resistant Miyazakimochi and susceptible Bikei 22 japonica cultivars.
Frequency distributions of the panicle blast severity in the three tested generations in different fields (Figure 3A, B, and C) suggested that multiple loci are involved in panicle blast resistance of Miyazakimochi. In fact, QTL analysis of the RILs revealed the presence of two QTLs for panicle blast resistance in Miyazakimochi: qPbm9 on chromosome 9, and qPbm11 on chromosome 11 (Figure 3). The contribution of qPbm11 to panicle blast resistance was 30.8%, and BC2F8 lines harboring the qPbm11 region showed similar resistance levels to the donor parent Miyazakimochi. Thus, these results demonstrated that the resistant phenotype of Miyazakimochi is mostly attributable to the major QTL qPbm11. The effect of qPbm9 on panicle blast resistance in Miyazakimochi was small and it might be difficult to detect under the coexistence of the major QTL qPbm11 in a high-pressure field for panicle blast.
Before this study, two preliminary QTL analyses were performed at Daisen in 2001 and at Gozenyama in 2003 (La et al. ; Koizumi et al. ), as mentioned in the Background. Both QTL analyses indicated the presence of a major QTL on the long arm of chromosome 11, and the location of the QTL corresponded to the qPbm11 region, suggested from the information of the marker sequences. The phenotypic data of these preliminary analyses, shown in Figure 3A and B, suggested the involvement of multiple loci in panicle blast resistance, similar to that in Figure 3C. Nevertheless, besides the major QTL, no minor QTLs were detected in the first QTL analyses in a mid-pressure field for blast disease at Daisen (La et al. ). The second QTL analysis in a high-pressure field for blast disease at Gozenyama suggested a minor QTL on the end of the short arm of chromosome 11 (Koizumi et al. ). In the present study, the effect of the minor QTL on panicle blast resistance was examined through analysis of a BC2F7 population lacking this minor QTL on the end of short arm of chromosome 11 (derived from MBF6-26). Given that Type 2 lines harboring solely qPbm11 showed a similar level of resistance to panicle blast as Miyazakimochi (Figure 5A), the contribution of minor QTLs to blast resistance, including qPbm9, is suggested to be negligible or small. The experimental field for this assay was Inabu, which is a high-pressure condition for blast disease, especially panicle blast (Fujii and Hayano-Saito ), in which the difference in parental disease severity was very small (Figure 3C). Thus, there was a possibility that minor QTLs might be underestimated. An assay under gentler conditions for panicle blast disease might be required to evaluate the effect of minor QTLs. However, because of the difficulty and complexity of evaluating panicle blast resistance, the QTL analyses were influenced by many factors. When considering the results, including the preliminary analyses, it is possible that the involvement of multiple loci suggested by the disease severity distribution may be a result of integrated influences from minor factors. Clarification of the contribution of each QTL to panicle blast resistance requires further research. Overall, we conclude that the major QTL qPbm11 is responsible for resistance to panicle blast in Miyazakimochi.
Many nucleotide-binding site leucine-rich repeat (NBS-LRR) encoding genes, which are typically the major resistance (R) genes in plants, are not randomly scattered on all chromosomes (Zhou et al. ). A recent review (Miah et al. ) pointed out that 24 of the 96 known rice blast R genes are located on chromosome 11. As qPbm11 is found on chromosome 11, further studies are required to clarify its relationship with other known R genes, and especially the panicle blast resistance gene Pb1, whose locus is located in the qPbm11 region. It is reasonable to assume that qPbm11 is distinct from Pb1; Pb1 is derived from the indica cultivar, Modan (Fujii and Hayano-Saito ), but cultivars originating from indica are not found in the Miyazakimochi pedigree (Uchiyamada et al. ). In support of this assumption, we confirmed that Pb1 is not expressed in panicle blast-resistant Miyazakimochi. Nevertheless, the possibility remains that qPbm11 is an allele of Pb1 or a Pb1 family gene [e.g., Os11g0597400, Os11g0597700, Os11g0598300, and Os11g0598500 (Hayashi et al. [2010b])], located in the qPbm11 region of Miyazakimochi. It is necessary to determine whether the allele and Pb1 family genes function as R genes for panicle blast in Miyazakimochi.
Resistance to panicle blast is correlated with leaf blast in many rice cultivars (Bonman et al. ). However, some rice cultivars show different levels of partial resistance to leaf and panicle blast (Bonman et al. ; Shindo and Asaga ). In Miyazakimochi, resistance to panicle blast shows a weak correlation with leaf blast resistance (Figure 3D, E, and F). This specificity of resistance in Miyazakimochi to panicle blast makes it a good resource for application in rice breeding programs, and facilitates the analysis of the molecular basis of panicle blast resistance.
Breeding blast resistant cultivars is considered an eco-friendly, effective and economical way to control the disease. Several strategies have been proposed to control blast using resistant cultivars, including multilines (Koizumi et al. ), mixtures (Mundt ), and gene pyramiding (Fukuoka et al. ). Leaf blast resistance is mainly used to control panicle blast indirectly at present. New panicle blast resistances will be utilized in protection strategies against blast disease, together with leaf blast resistance. Furthermore, for strategies using the host’s R genes, the key is furthering rice breeding efficiently. Genomic sequence information and the richness of markers linked to agronomic traits has permitted marker-associated-selection to be applied generally in rice breeding programs in Japan, especially for imparting disease resistance and pest tolerance. Agronomical target traits are expected to be introgressed efficiently by DNA markers, without any accompanying poor traits. Furthermore, accumulating research on rice R genes and their functions will lead to the breeding of resistant rice cultivars based on the functional mechanism of the introduced R gene(s).
This study used three experimental fields under different pressure from rice blast to demonstrate that the rice cultivar Miyazakimochi harbors panicle blast resistance without correlation with leaf blast resistance. QTL analysis using RILs derived from a cross between Miyazakimochi and Bikei 22 indicated that two QTLs, qPbm9 and qPbm11, were involved in panicle blast resistance. Analysis of homozygous backcrossed lines in the QTL regions revealed that qPbm11 is predominantly responsible for panicle blast resistance in Miyazakimochi. The qPbm11 region contains a locus for the panicle blast resistance gene Pb1 (Hayashi et al. [2010b]); however, RT-PCR confirmed that Pb1 was not expressed in Miyazakimochi. qPbm11 is a novel genetic source for the breeding of panicle blast resistance in rice. qPbm11 will provide an additional target for varietal improvement of panicle blast resistance through marker-associated-selection, and represents an important genetic resource for further understanding of panicle blast resistance.
Miyazakimochi is a japonica rice cultivar that has resistance to panicle blast and partial resistance to leaf blast. Bikei 22 is a susceptible japonica rice cultivar (Figure 1), with a similar heading date to Miyazakimochi. We developed an F2 population from a cross between Miyazakimochi and Bikei 22 (Figure 2), and F3 lines were used to characterize the panicle resistance of Miyazakimochi in Daisen. One hundred seventy-one F6 RILs from the same population were generated using a single-seed descent method (Figure 2). The 171 F6 RILs were used for assays of rice blast in Gozenyama. Following these analyses, seeds of 13 lines of the 171 F6 RILs were used up, and these lines were lost. The remaining 158 F6 RILs and their F7 generations were used for genotyping and evaluation of blast resistance QTL analysis, respectively, in Inabu.
To investigate the contribution of the detected QTLs, we developed a derivative population, MBF6-26/2*B, in which Bikei 22 was backcrossed twice to resistant MBF6-26 (Figure 2). MBF6-26 had Miyazakimochi-derived homozygous regions encompassing the QTLs detected by the QTL analysis. The BC2F7 individuals and the BC2F8 lines were used for genotyping and evaluation of panicle blast resistance, respectively.
For RT-PCR of Pb1 expression, we used Miyazakimochi and four BC3F2 individuals where the japonica susceptible cultivar Koshihikari was backcrossed four times to Miyazakimochi. The cultivar Tsukinohikari, which harbored Pb1 derived from Modan, was used as a positive control, and the cultivar Koshihikari was used as a negative control.
Evaluation of field resistance to blast
Field assays in three different experimental paddy fields, and one upland nursery field in Daisen, Gozenyama, and Inabu were used to evaluate blast resistance (Figure 2). The Daisen fields in Akita prefecture possess suitable field conditions for blast disease development (Shindo and Asaga ), and were used in 2000 for evaluation of panicle blast resistance in an experimental paddy field, and leaf blast resistance in an upland nursery field using F3 lines. The Gozenyama experimental field is a high-pressure field for blast disease in Ibaraki Prefecture, and was used to evaluate resistance to panicle blast and leaf blast in F6 RILs in 2003. The Inabu field is also a high-pressure field for blast disease, especially panicle blast (Fujii and Hayano-Saito ), and is located at the Mountainous Region Agricultural Research Institute of the Aichi Agricultural Research Center; it was used for assays of F7 RILs in 2011, and BC2F8 lines in 2012 and 2013. Data assayed in the three fields were used to characterize panicle blast resistance of Miyazakimochi, and any correlations to leaf blast resistance. The Spearman rank correlation was used to assess correlations between the scores of panicle blast and leaf blast severities.
Field assays were performed under natural conditions as follows. In the paddy field trials, 15 plants of each F3 line, RIL, BC2F8 line, and the parental cultivars were transplanted by hand, with one plant per hill in a 270, 225, and 90 cm row at a distance of 18, 15, and 6 cm in Daisen, Gozenyama, and Inabu, respectively. Fifteen plants from the respective parental cultivars were transplanted alternately for comparison in every second (Daisen), or fifth (Gozenyama and Inabu) row. The rows were spaced at 24.5 cm in Daisen, and 30 cm in Gozenyama and Inabu. A completely randomized block design was used, with three replications. Leaf blast severity was evaluated by visual assessment of the highest stage of disease development in each row. Resistance evaluation was scored from 0 (no lesion) to 10 (all plants killed by the disease) according to the disease severity index developed by Asaga (). Panicle blast severity was evaluated in each row five times, every 2 or 3 days after the heading date. This evaluation was based on visual assessment of disease severity, as described by Asaga (); scores ranged from 0 (no diseased grain) to 10 (100% diseased grain). Phenotypic data, as measured by panicle blast severity scores, were used when the largest difference was seen between the two parental rice cultivars.
In the upland nursery trial in Daisen, 50 seeds from each F3 line and the parental cultivars were sown in a 40 cm length row with 10 cm spacing. The F3 lines were planted in alternate rows, with the parental cultivars between them. A completely randomized block design was used, with two replications. To induce leaf blast development, a rice japonica susceptible cultivar was planted as a spreader in 10 rows at both sides of each block, and blast-diseased leaves were scattered on the experimental plots. The evaluation of leaf blast severity in each of the F3 lines and in the parental cultivars was performed as described above.
Thirty-five SSR markers [prefixed RM## (McCouch et al. ; International Rice Genome Sequence Project , IRGSP) and HvSSR## (Singh et al. )] that showed polymorphisms between Miyazakimochi and Bikei 22 were selected. Investigation of single nucleotide polymorphism (SNP) loci between Miyazakimochi and Bikei 22 was based on loci between Nipponbare and Koshihikari (Nagasaki et al. ). From these SNPs, 105 SNP markers, six cleaved amplified polymorphic sequence markers (prefixed aa##), and one sequence tagged site marker (STS1) were developed (Additional file 1). The method described by Hayashi et al. () was used to design the primers for the SNP markers. The 3'-end of one of the primer pairs was specific to the SNP site, with the third position from the 3'-end having artificially introduced mismatch bases to reduce false-positive amplification. In addition to the above, Pb3810/16, which is linked to the panicle blast resistance gene Pb1 (Hayashi et al. [2010b]), was also used. In total, 147 markers were used for QTL analysis of the RILs.
Fifteen co-dominant markers were used for genotyping of the MBF6-26/2*B population. The two markers RM6491 and RM1553 (IRGSP 2005) are located on chromosome 9, while the other 13 markers are on chromosome 11. These included previously developed markers aa11006712, aa11001573, nksrssr11_19358 (Singh et al. ), RM206, RM26890, RM27147, RM27185, RM27207 (IRGSP 2005) and Pb3810/16; and four newly developed markers, Miy11256, 5083indel, Miy11269 and Miy11276 (Additional file 1). Sequence data for Miyazakimochi and Bikei 22 were used for marker development. Paired-end sequencing using an Illumina Hiseq 2000 apparatus (Illumina Inc. San Diego, CA, USA) was used to analyze the whole genome sequences of Miyazakimochi and Bikei 22, and DNAnexus (DNAnexus Inc., Mountain View, CA, USA; https://dnanexus.com) was use to compare the sequence data with the Nipponbare genome sequence (build 5, http://rapdblegacy.dna.affrc.go.jp/download/index.html) as a reference. Hokkaido System Science Co., Ltd. (Sapporo, Hokkaido, Japan) carried out these operations.
The cetyl trimethyl ammonium bromide method (Murray and Thompson ) was used to extract total rice DNA from each plant. PCR with SNP markers used a 10 μl reaction mixture containing 50 ng of template DNA, 0.125 μM of each primer, 0.25 U of Taq HS (Takara, Ohtsu, Japan), 0.4 mM of each dNTP, and 1 × PCR buffer. PCR with other markers used a 10 μl reaction mixture containing 50 ng of template DNA, 0.2 μM of each primer, 5 μl of 2 × GoTaq green master mix (Promega, Madison, WI, USA). Amplification used 28 to 45 cycles at annealing temperatures of 50 to 68°C, depending on the primers. Amplified DNA fragments were separated on 3% (w/v) agarose gels, and visualized using ethidium bromide staining.
MAPMAKER/EXP (version 3.0b; Lincoln et al. ), set to the Kosambi mapping function in cM, was used to construct a genetic linkage map from the segregating data of the RILs. An individual linkage group was declared if any distance between two adjacent markers was less than 100 cM. A LOD threshold of 3.0 constructed an initial framework, and remaining markers added to the framework with the LOD threshold set at 2.0 or 1.0. For QTL analysis, composite interval mapping (CIM) was performed using Windows QTL Cartographer software (version 2.5; Wang et al. ) to determine the genomic regions (marker intervals) associated with panicle blast resistance. The software parameters were set as follows: a standard Model 6 with a control markers number of 5, a window size of 10 cM around the test interval, a walk speed of 1 cM, and ‘backward regression method’ as cofactors. The empirical LOD threshold for the trait was determined by 1,000 permutations at the P < 0.05 level (Churchill and Doerge ). CIM analyses provided estimates of additive effects and the percentage of phenotypic variance explained by the putative QTL.
TRIzol reagent (Invitrogen, Carlsbad, CA, USA) was used to extract total RNA from panicles of Tsukinohikari, Koshihikari, Miyazakimochi, and four BC3F2 individuals, according to the manufacturer’s instructions. For expression analysis, RT-PCR was carried out using an RNA-PCR kit (Takara) with 0.5 μg of total RNA in each sample. RT-PCR targeted two subregions of the Pb1 coding regions: from 1 to 1587 bp, and from 1536 to 3891 bp. Primers were designed with reference to the supplemental data of Hayashi et al. ([2010b]) and the genomic sequence of Pb1 (Accession No. AB570371). The primer sequences were: 5'-ATGACTGAGCTCGCGTCTGG-3' and 5'-ATCGGGTCTTCATCATCATCATC-3' for the 1–1587 subregion, and 5'-TGGTGAAGAAGAAGAAGAAGAAGA-3' and 5'-TGGTTCATTACATTTAAGAATTATCC-3' for the 1536–3891 subregion. Rice G3PDH (glyceraldehyde-3-phosphate dehydrogenase, Accession No. AK064960) was used as a control gene to standardize the RT-PCR results. The primer sequences were: 5'-ACAACTGTTCATGCCATCAC-3' and 5'-TCGATGACACGGTTGCTGTA-3'. RT-PCR products were subjected to electrophoresis on a 1% (w/v) agarose gel, and detected by ethidium bromide staining.
We are grateful to Dr. T. Yoshida, Dr. Y. Mizukami, Dr. M. Nakamura and Dr. T. Nonoyama (Aichi Agricultural Research Center) for management and support of the rice blast field experiments. We thank Dr. H. Tsunematsu (NARO Institute of Crop Science) for experimental support, Dr. T. Hayashi (NARO Agricultural Research Center) for support with the QTL analysis, and Dr. T. Mitsunaga (NARO Agricultural Research Center) for support with statistical analysis. We thank Dr. K. Saito (NARO Agricultural Research Center) for supporting the preparation of the manuscript. This work was supported in part by a grant from the Integrated Research for Providing Fresh and Delicious ‘Brand Nippon’ Agricultural-products, Japan (No. 53101).
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