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Article

Pyramiding of Multiple Genes to Improve Rice Blast Resistance of Photo-Thermo Sensitive Male Sterile Line, without Yield Penalty in Hybrid Rice Production

1
College of Agronomy, Hunan Agricultural University, Changsha 410128, China
2
Huazhi Biotech Co., Ltd., Changsha 410125, China
*
Author to whom correspondence should be addressed.
Plants 2023, 12(6), 1389; https://doi.org/10.3390/plants12061389
Submission received: 23 February 2023 / Revised: 17 March 2023 / Accepted: 20 March 2023 / Published: 21 March 2023
(This article belongs to the Special Issue Molecular Breeding and Germplasm Improvement of Rice)

Abstract

:
Rice blast caused by pathogenic fungus Magnaporthe oryzae is one of the most serious diseases in rice. The pyramiding of effective resistance genes into rice varieties is a potential approach to reduce the damage of blast disease. In this study, combinations of three resistance genes, Pigm, Pi48 and Pi49, were introduced into a thermo-sensitive genic male sterile (PTGMS) line Chuang5S through marker-assisted selection. The results showed that the blast resistance of improved lines increased significantly compared with Chuang5S, and the three gene pyramiding lines (Pigm + Pi48 + Pi49) had higher rice blast resistance level than monogenic line and digenic lines (Pigm +Pi48, Pigm + Pi49). The genetic backgrounds of the improved lines were highly similar (>90%) to the recurrent parent Chuang5S by using the RICE10K SNP chip. In addition, agronomic traits evaluation also showed pyramiding lines with two or three genes similar to Chuang5S. The yields of the hybrids developed from improved PTGMS lines and Chuang5S are not significantly different. The newly developed PTGMS lines can be practically used for the breeding of parental lines and hybrid varieties with broad spectrum blast resistance.

1. Introduction

Rice is one of the most important crops in the world, feeding more than half of the world’s population. More than 60% of the population in China take rice as their staple food [1]. Rice blast, caused by pathogenic fungus Magnaporthe oryzae, is one of the most serious diseases affecting rice production [2]. The use of a resistance gene to create new cultivars with broad-spectrum disease resistance has been considered a cost-effective and environmentally friendly method to control the disease.
So far, more than 100 resistance loci have been identified, and among them, 38 R genes have been successfully cloned [3,4]. Most of the genes are distributed in the form of gene clusters on the other 11 chromosomes except the third chromosome. The Piz locus on chromosome 6, the Pik locus on chromosome 11 and the Pita locus on chromosome 12 are the hotspots of resistance gene clusters [5]. Most importantly, R genes in these hotspot regions often show broad-spectrum resistance to rice blast fungus, which provides important genetic resources for breeding rice varieties with broad-spectrum blast resistance [6].
The broad-spectrum rice blast resistance gene Pigm at the Piz locus has both leaf blast and panicle blast resistance effects and has been widely used in rice breeding [7,8]. Gene Pi49 is a new broad-spectrum resistance gene at the Pik locus and discovered in the landrace Mowanggu, which has also been used in rice blast resistance breeding in recent years [9]. Genes Pi47 and Pi48 were identified in the indica cultivar Xiangzi 3150 and located at the Pik and Pita locus, respectively; they determined the stable broad-spectrum resistance of Xiangzi 3150, which conferred resistance to 95% of 303 blast isolates from China [10].
Chuang5S is an indica thermo-sensitive genic male sterile (TGMS) rice line bred by Hunan Agricultural University; it has excellent agronomic characteristics, such as lower critical sterility inducing temperature (refers to the critical temperature when a sterile line changes from a sterile state to a fertile state), stable sterility and a high combining ability and outcrossing rate [11]. More than ten hybrid combinations bred from Chuang5S have been approved and widely cultivated. However, it was found in the production practice that the rice blast resistance of Chuang5S was poor, and there is risk involved by planting the hybrids from this male sterile line in certain areas [12,13]. Therefore, in this study, three blast resistance genes (Pigm, Pi48, Pi49) were introgressed into Chuang5S by combining the traditional breeding method with MAS technology to develop new PTGMS lines with resistance to rice blast, aiming to improve the disease resistance of two-line hybrid rice bred from Chuang5S. Meanwhile, we also evaluated the yield of hybrid combinations derived from improved lines with one, two or three resistance genes in order to explore whether the yield was affected by the number of resistance genes.

2. Materials and Methods

2.1. Plant Materials

In this study, Chuang5S (C5S) and NIL-C5S carrying the R gene were used as the recurrent parents. Blast resistance gene Pigm was derived from a native variety Gumei 4 (GM4). Dominant blast resistance gene Pi48 was derived from Xiangzi 3150 (XZ3150), a local rice variety in Hunan Province of China. Long-lasting blast resistance gene Pi49 was derived from Mowanggu (MWG), a local variety in Yunnan Province of China. Rice variety CO39 was used as the susceptible control. A cross was made between Chuang5S and donor parents to generate the F1 hybrids during the summer of 2011 at Changsha. After three backcross generations, the target BC3F3 lines were obtained. BC3F3 plants containing different resistance genes were crossed to generate new F1 hybrids, then F1 were self-pollinated to obtain the F2 population. Then, the F2 plants containing different resistance genes were crossed to generate the F1 hybrids which harbored multiple resistance genes. After three self-pollination generations, the pedigree selection was followed to obtain the target MF4 lines (Figure 1).

2.2. Molecular Marker Selection and Genotyping

Molecular markers linked to the target genes were selected based on previous research; a set of molecular markers with polymorphism among parents were selected for foreground selection (Table 1). SSR markers RM7178 and RM7311 were used for Pigm detection, LY2 was used to detect Pi48 and RM224 was used to detect Pi49 [12,14].
DNA samples were prepared by using the SDS-CTAB method and sucrose extraction method [15]. The PCR system (10 μL) for amplifcation was as follows: 1.0 μL 10 × buffer, 0.2 μL 5-mM dNTPs, 1.0 μL 2 pmol/μL primers, 0.1 μL 5 U/μL Taq polymerase, 1.0 μL DNA template (about 10 ng/μL) and 6.7 μL ddH2O. The PCR was performed on the ABI PCR system 2700. The PCR procedure was 94 °C for 5 min, followed by 35 cycles of 94 °C for 30 s, 55 °C for 1 min, 72 °C for 30 s and finally 72 °C for 10 min. The PCR products were separated via electrophoresis on 8% non-denaturing polyacrylamide gel, and then visualized via silver staining and finally observed using a fluorescent light box.

2.3. Genetic Background Examination of Pyramided Lines

The whole-genome single-nucleotide polymorphism (SNP) array RICE10K was used to evaluate the similarity in genetic background between the improved lines and the recurrent parent C5S. This SNP array was developed based on a multiplex PCR and genotyping using targeted sequencing technology and comprises 9906 high-quality SNP and insertion-deletion (InDel) markers evenly distributed on the 12 chromosomes of rice with an average density of 27 SNPs per Mb. The pyramided lines of MF6, F8 and BC3F11 were selected and genotyped for examination of the genetic background. For each improved line or C5S, the total DNA was extracted from the leaves of 30 plants. Genetic background similarity analysis was performed at China National Hybrid Rice Research and Development Center (Changsha, China) according to Genotyping by Targeted Sequencing Protocol.

2.4. Phenotyping of Blast Resistance in the Field

To evaluate the rice blast resistance of the newly improved TGMS lines, the blast resistance experiment was conducted under natural conditions in a rice blast disease hotspot location, Daweishan Village of Liuyang City, Hunan Province, China, where rice blast disease is epidemic every year. One hundred seeds of C5S and every newly improved PTGMS line were sown with the susceptible control CO39, and then CO39 was sown around them. About 30 days after seeding, the disease resistance was visually scored according to a 0–9 SES scale (Standard Evaluation System for Rice, IRRI, 2002) when the susceptible control CO39 showed more than 90% dead seedlings. Twenty random plants in the middle of each line were examined, and the average score was used to measure the disease resistance level of each line. Scores 0–3 were considered as resistant (R), 4 as moderately resistant (MR), 5 as moderately susceptible (MS) and 6–9 as susceptible (S).

2.5. Agronomic Performance Evaluation of Rice Blast Resistance Improved Lines and Chuang5S

The MF3 plants of newly improved TGMS lines and plants of C5S (CK) were transplanted in the field with a space of 20 cm × 20 cm at the Jiangbei experimental field of Hunan Agricultural University, Hunan Province, in the summer of 2018. The main agronomic characters of five individual plants randomly selected from each line were examined, including plant height, panicle length, flag leaf length, number of primary branches on the panicle, number of grains per panicle and length of panicle exertion. One-way ANOVA was performed to detect the statistical differences. A p-value less than 0.05 was considered to be a significant difference.

2.6. Yield and Agronomic Performance Evaluation of Hybrid Rice Combinations Developed from the Improved Lines and Chuang5S

Thirty-five hybrid rice combinations crossed between 7 PTGMS lines and 5 restorer lines were evaluated during the summer of 2022. The evaluation of agronomic traits under the natural field condition was conducted in the field at the Jiangbei experimental field of Hunan Agricultural University, Hunan Province. Each combination was planted in a plot of 6 rows with 8 plants per row with a space of 20 cm × 20 cm. At maturity, five plants in the middle of each plot were taken randomly for measurements of the plant height, panicle length, number of panicles per plant, number of grains per panicle, spikelet fertility, 1000 grain weight and yield per plant. One-way ANOVA was performed to detect the statistical differences. A p-value less than 0.05 was considered to be a significant difference.

3. Results

3.1. Development of Gene Pyramided Lines of C5S through MAS

In this study, three backcrossing events were conducted to pyramid the rice blast resistance genes in PTGMS line C5S. At the first step, three rice blast resistance genes (Pigm, Pi48 and Pi49) from three donor parents (GM4, XZ3150 and MWG) were introgressed into C5S via marker-assisted backcrossing. F1 generation was obtained in the summer of 2011. Then, three successive backcrossing generations were conducted with C5S as the recurrent parent, and BC3F1 generation was developed in the summer of 2013. For each backcross generation, the presence of disease resistance genes in individual plants was detected using molecular markers; only the individuals harboring the target genes and showing similar morphological phenotypes to their recurrent parent C5S were selected for the following steps. Subsequently, the BC3F1 and its descendant pedigree individual plants selected via MAS and field phenotyping were handled with continuous irrigation of cold water with a temperature about of 20–22 °C in summer at Changsha, or were planted under low temperature conditions in winter at Sanya to restore the male fertility. Finally, after two times of self-pollination, the BC3F3 generation was obtained in the spring of 2014.
The second step was to pyramid two blast resistance genes. The hybridization between the BC3F3 population harboring different rice blast resistance genes of the first step was carried out at Changsha in the summer of 2014. The F1 plants were genotyped using molecular markers, and the individuals with heterozygous genotype of target genes were selected for self-pollination; the selected plants were handled with cold water to recover the male fertility in Changsha. The F2 populations carrying two rice blast resistance genes were obtained in the summer of 2016.
The third step was to pyramid three blast resistance genes. The F2 plants with two rice blast resistance genes were selected for hybridization to obtain multiple F1 populations at Changsha in the summer of 2016. In each subsequent generation, the rice blast resistant gene loci were detected using molecular markers, followed by agronomic traits selection in the field; finally, selected individuals were induced to restore fertility to harvest seeds. In the MF1 generation, the plants with a heterozygous genotype of blast resistant genes were selected, and in the MF2 or descendant generations, the plants with a homozygous genotype of blast resistant genes were selected.

3.2. Blast Resistance of the Pyramided Lines

The pyramided lines carrying homozygous blast resistance genes were selected for the evaluation of leaf blast resistance at the seedling stage and panicle blast resistance at the grain filling stage. The scores of the recurrent parent C5S and the susceptible control CO39 were 6.2 and 9.0, respectively. Three donor parents, GM4, XZ3150 and MWG, were resistant to leaf blast with scores of 1.6, 3.2 and 4.0, respectively. The introgression lines carrying single blast genes Pigm, Pi48 and Pi49 showed similar resistance to the donor, with resistance scores of 1.8, 3.6 and 4.8, respectively. In the two-gene pyramided lines, the resistance scores of Pigm + Pi48 and Pigm + Pi49 improved lines were 1.6 and 1.8, respectively, which were similar to Pigm monogenic lines and Pigm donor GM4, but significantly lower than Pi48 and Pi49 monogenic lines. The three-gene pyramided lines, including Pigm, Pi49 and Pi48, showed comparable resistance to the donor GM4 with resistance grades of 1.6, which were significantly stronger than other monogenic lines and digenic lines (Table 2, Figure 2). At the grain filling stage, the disease reaction scores of all improved materials were 3–5, while the susceptible control CO39 and recurrent parent C5S showed more than 50% death (Table 2, Figure 3). The results revealed that the blast resistance of the newly developed lines was significantly improved in comparison to C5S.

3.3. Genetic Background Examination of the Pyramided Lines

In this study, a 10K whole-genome SNP array was used to analyze the genetic background of the gene pyramided lines. The genetic background recovery rates of the improved lines 19RS00207 (Pigm) and 19RS00209 (Pi49) were 97.26% and 94.34%, respectively. The genetic background recovery rate of the digenic line 19RS00451 (Pigm + Pi49) was 97.53%. The genetic background recovery rate of the trigenic line 19RS00625 (Pigm + Pi48 + Pi49) was 92.68%. Fragments carrying target genes were substituted in the positions (red dots) of Pigm in chromosome 6, Pi48 in chromosome 12 and Pi49 in chromosome 11, indicating the successful introgression of blast resistance genes (Figure 4).

3.4. Agronomic Traits of the Pyramided Lines

The main agronomic traits of the pyramided lines and their recurrent parent C5S were evaluated; the results showed that the agronomic traits such as plant height, number of grains per panicle and panicle length of the improved lines were lower than recurrent parent C5S. Among the improved lines, the agronomic traits of C5S-3R-4 were similar to the recurrent parent, and its plant height was not significantly different from C5S. The improved line C5S-3R-3 performed poorly in agronomic traits, and its number of grains per panicle was significantly lower than the recurrent parents (Table 3).

3.5. Agronomic Traits of the Hybrid Rice Combinations

In order to study the effect of gene introgression on the agronomic characters of hybrid rice combinations, seven male sterile lines were crossed with five restorer lines, and thirty-five hybrid combinations were obtained for investigation of agronomic traits. The results showed that most of the agronomic traits of the combinations derived from four restorer lines (R1128, HRZ, MFZ1 and YNSM) were similar to those combinations from C5S. In the SFSM group, although panicle length and number of grains per panicle of some combinations from improved lines was significantly higher than the combination from C5S, the 1000-grain weight of these lines were significantly lower than that of the control, and there was no significant difference in the plant height, number of panicles per plant and spikelet fertility, so there was no significant difference in yield (Table 4).

4. Discussion

Marker-assisted selection is an effective way to improve the disease resistance of rice; the use of MAS can determine the resistance and fertility of individual plants as early as possible, and the selected individuals are treated with low temperature to restore fertility, thus greatly improving the selection efficiency and shortening the breeding procedure. The blast resistance gene Pi2 was introgressed into TGMS line C815S through MAS and phenotypic selection approaches, and the agronomic and grain quality traits of four new TGMS lines met the requirement for two-line hybrid rice production [16]. Two PTGMS lines, Tai S and Wo S, were developed using the broad-spectrum resistance gene Xa23 through MAS combined with phenotypic selection [17]. The blast and bacterial blight resistance of PTGMS line Guangzhan63-4S was improved by introducing the R genes Pi2 and Xa7 through MAS [18]. The rice blast and brown planthopper resistance of PTGMS line C815S was improved via the MAS of the Pi9, Pi47, Pi48, Pi49, Bph14 and Bph15 genes [19]. Similar to previous studies, this study combined a traditional backcross method with MAS to pyramid three blast resistance genes into sterile lines of C5S through several generations of hybridization and backcrossing. The genotyping results indicate that target genes were successfully introgressed into the improved lines. The new developed lines conferred high resistance to rice blast in the field. The genetic background recovery rates were 97.26% and 94.34% for the improved monogenic lines 19RS00207 (Pigm) and 19RS00209 (Pi49), respectively, and 97.53% for the digenic line 19RS00451 (Pigm + Pi49) and 92.68% for the trigenic line 19RS00625 (Pigm + Pi48 + Pi49). There were more fragments introduced into the recurrent parent when more genes were pyramided, and these fragments may carry genes affecting agronomic traits. Thus, some of the agronomic traits such as the plant height, number of grains per panicle and panicle length of the trigenic lines were lower than recurrent parent C5S (Table 3). However, the effects of the introduced fragments on the performance of the hybrids were dependent on the restore lines. Among the five restore lines used, the 1000-grain weight of hybrids from SFSM were lower than those from the control C5S, while no difference was observed in hybrids from other restore lines (Table 4). Importantly, the hybrid rice combinations of improved lines showed no significant difference in yield compared to the control. The developed PTGMS lines with blast resistance and a similar yield as C5S could be used for the hybrid rice seeds production.
In the practice of crop disease resistance breeding, repeated use of a single gene for a long time can easily lead to the loss of resistance, thus pyramiding broad-spectrum resistance genes is generally considered as an effective way to solve this problem. Multi-gene pyramiding, which is conducive for broadening the resistance spectrum and improving crop resistance, is an important approach for rice variety improvement [20]. Genes Pi46 and Pita were pyramided into an elite restorer line HH179 to improve its blast resistance using the marker-assisted backcrossing procedure, and the resistance spectrum of the three improved lines was markedly broader than that of HH179 [21]. The blast resistances of a japonica rice variety 07GY31 was improved by pyramiding R genes Pi9, Pizt and Pi54 [22]. The blast resistances of four sterile lines were improved by the introgression of broad-spectrum blast resistance genes Pi37, Pit, Pid3, Pigm, Pi36, Pi5, Pi54, Pikm and Pb1 [23]. The disease resistances of two cultivars (ASD 16 and ADT 43) were enhanced through the introgression of bacterial blight (xa5, xa13, and Xa21), blast (Pi54) and sheath blight (qSBR7-1, qSBR11-1 and qSBR11-2) resistance genes [24]. In our previous study, we pyramided two rice blast resistance genes, Pi9 and Pi49, into C5S, and the results showed that the resistances of C5S-Pi9/Pi49 lines were improved when different blast strains were inoculated [12]. In this study, we developed lines containing two or three blast resistance genes that were resistant to leaf and panicle blast under natural conditions. The three-gene pyramiding lines of C5S (Pigm + Pi48 + Pi49) have higher rice blast resistance levels than the monogenic line and digenic lines. In addition, the present study results also reveal that the gene combination with Pigm had better resistance than the remaining improved lines. These results were consistent with the results of previous studies. The improved lines containing one, two or three R genes can be used to breed two-line hybrid rice with broad-spectrum resistance and can also be used to polymerize more resistance genes into intermediate materials via MAS to obtain new materials with a broader resistance spectrum, wider adaptation range and durable resistance. In addition, they can be pyramided with more genes of important agronomic traits, such as the low accumulation of heavy metals and superior grain quality.
In this study, molecular markers linked to the target gene were used for foreground selection, but genome-wide markers were not used for background selection in each generation due to the cost. The genetic background examination results showed that some non-target genomic regions of the higher generation materials still retained genotypes of the donor, especially the large chromosomal segment of Pi48. Similar results have been reported in previous studies. A large flanking fragment remained in the recurrent parent when introgressing gene Pita to improve rice blast resistance [25]. The Pi48 gene was the allele of Pita, and the Pita locus is close to the centromere region, which has a low recombination rate. The background selection is considered to be an effective way to improve the efficiency of recombination selection and reduce the transmission of linkage drag. With the advances in high-throughput genotyping technology and the reduction in genotyping costs, it has become easier to obtain high-quality whole genome genotype. New genotyping technology such as KASP, whole genome sequencing, genotyping via target sequencing and SNP breeding chips have been widely applied in recent years [26,27,28,29,30]. The use of an SNP chip for genetic background selection in each generation can select individuals with higher genomic background recovery as early as possible and shorten the breeding process, and, therefore, it has been widely employed in breeding programs. The RICE6K SNP array was used for background detection in backcross breeding, and obtained improved lines, with a genome recovery of 99.67% [31]. In the case of genomics-assisted breeding, the background analysis using the 56K SNP chip revealed that the selected BC2F3 line has a background recovery rate of 96.8% comparing to the recurrent parent [32]. The use of the SNP chip for background selection in the process of backcross breeding can reduce the near isogenic line development by 2–3 years, which will further shorten the breeding cycle [31]. Using a liquid chip based on targeted sequencing technology [33] to further improve breeding efficiency is our future research direction on the basis of the improved lines in this study. Using a genomics-assisted breeding strategy to polymerize more important genes and create a series of better C5S is our next research focus.

Author Contributions

Conceptualization, Y.X. and P.P.; methodology, H.J. and L.L.; validation, H.J. and P.P.; formal analysis, H.J., C.Y. and P.P.; resources, L.L.; writing—original draft preparation, P.P.; writing—review and editing, P.P., C.Y. and Y.X.; supervision, Y.X.; funding acquisition, Y.X. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Key Research and Development Program of China, grant number 2016YFD0101100.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors thank Na Xu and Gai zeng of Hunan Agricultural University for all their help during the experiment.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Saud, S.; Wang, D.; Fahad, S.; Alharby, H.F.; Bamagoos, A.A.; Mjrashi, A.; Alabdallah, N.M.; AlZahrani, S.S.; AbdElgawad, H.; Adnan, M.; et al. Comprehensive impacts of climate change on rice production and adaptive strategies in china. Front. Microbiol. 2022, 13, 926059. [Google Scholar] [CrossRef] [PubMed]
  2. Skamnioti, P.; Gurr, S.J. Against the grain: Safeguarding rice from rice blast disease. Trends Biotechnol. 2009, 27, 141–150. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Ning, X.; Yunyu, W.; Aihong, L. Strategy for use of rice blast resistance genes in rice molecular breeding. Rice Sci. 2020, 27, 263–277. [Google Scholar] [CrossRef]
  4. Devanna, B.N.; Jain, P.; Solanke, A.U.; Das, A.; Thakur, S.; Singh, P.K.; Kumari, M.; Dubey, H.; Jaswal, R.; Pawar, D.; et al. Understanding the dynamics of blast resistance in rice-magnaporthe oryzae interactions. J. Fungi. 2022, 8, 584. [Google Scholar] [CrossRef]
  5. Wang, X.; Lee, S.; Wang, J.; Ma, J.; Bianco, T.; Ji, Y. Current advances on genetic resistance to rice blast disease. In Rice-Germplasm, Genetics and Improvement; InTech: Rang-Du-Fliers, France, 2014; pp. 196–216. [Google Scholar]
  6. Ying, Z.; Tao, W.; Bin, Y.; Fang, L.; Meijuan, C.; Qiong, W.; Ping, H.; Shuyan, K.; Wenxiu, Q.; Li, L. Improving rice blast resistance by mining broad-spectrum resistance genes at pik locus. Rice Sci. 2022, 29, 133–142. [Google Scholar] [CrossRef]
  7. Deng, Y.; Zhu, X.; Shen, Y.; He, Z. Genetic characterization and fine mapping of the blast resistance locus pigm(t) tightly linked to pi2 and pi9 in a broad-spectrum resistant chinese variety. Appl. Genet. 2006, 113, 705–713. [Google Scholar] [CrossRef]
  8. Deng, Y.; Zhai, K.; Xie, Z.; Yang, D.; Zhu, X.; Liu, J.; Wang, X.; Qin, P.; Yang, Y.; Zhang, G.; et al. Epigenetic regulation of antagonistic receptors confers rice blast resistance with yield balance. Science 2017, 355, 962–965. [Google Scholar] [CrossRef]
  9. Sun, P.; Liu, J.; Wang, Y.; Jiang, N.; Wang, S.; Dai, Y.; Gao, J.; Li, Z.; Pan, S.; Wang, D.; et al. Molecular mapping of the blast resistance gene pi49 in the durably resistant rice cultivar mowanggu. Euphytica 2012, 192, 45–54. [Google Scholar] [CrossRef]
  10. Huang, H.; Huang, L.; Feng, G.; Wang, S.; Wang, Y.; Liu, J.; Jiang, N.; Yan, W.; Xu, L.; Sun, P.; et al. Molecular mapping of the new blast resistance genes pi47 and pi48 in the durably resistant local rice cultivar xiangzi 3150. Phytopathology 2011, 101, 620–626. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Wang, Y.; Hao, M.; Lei, D.; Tang, W.; Cheng, L. Character of early growth and quick development of genic male sterility lines. Crop. Res. 2014, 28, 341–344. [Google Scholar]
  12. Zhang, J.; Hao, M.; Zeng, G.; Cao, Z.; Jiang, H.; Huang, X.; Xiao, Y. Polymerization of pi9 and pi49 loci by marker assisted selection to improve blast resistance of dual-purpose genic sterile rice chuang 5s. Mol. Plant Breed. 2018, 16, 7372–7379. [Google Scholar]
  13. Chen, Q.; Tang, W.; Zeng, G.; Sheng, H.; Shi, W.; Xiao, Y. Reduction of cadmium accumulation in the grains of male sterile rice chuang-5s carrying pi48 or pi49 through marker-assisted selection. 3 Biotech 2020, 10, 539. [Google Scholar] [CrossRef] [PubMed]
  14. Cao, Z.; Zheng, G.; Hao, M.; Sheng, H.; Ye, N.; Xiao, Y. Improving blast resistance of dual-purpose genic sterile line c815s by using molecular marker-assisted selection. Mol. Plant Breed. 2015, 13, 1193–1200. [Google Scholar]
  15. Cao, Z.; Zeng, G.; Sheng, H.; Xiao, Y. A simple approach for rapid preparation of rice genomic DNA for pcr analysis. J. Hunan. Agric. Univ. 2013, 39, 13–16. [Google Scholar]
  16. Jiang, J.; Mou, T.; Yu, H.; Zhou, F. Molecular breeding of thermo-sensitive genic male sterile (tgms) lines of rice for blast resistance using pi2 gene. Rice 2015, 8, 11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Wang, S.; Liu, W.; Lu, D.; Lu, Z.; Wang, X.; Xue, J.; He, X. Distribution of bacterial blight resistance genes in the main cultivars and application of xa23 in rice breeding. Front. Plant Sci. 2020, 11, 555228. [Google Scholar] [CrossRef] [PubMed]
  18. Mi, J.; Yang, D.; Chen, Y.; Jiang, J.; Mou, H.; Huang, J.; Ouyang, Y.; Mou, T. Accelerated molecular breeding of a novel p/tgms line with broad-spectrum resistance to rice blast and bacterial blight in two-line hybrid rice. Rice 2018, 11, 11. [Google Scholar] [CrossRef]
  19. Chen, Q.; Zeng, G.; Hao, M.; Jiang, H.; Xiao, Y. Improvement of rice blast and brown planthopper resistance of ptgms line c815s in two-line hybrid rice through marker-assisted selection. Mol. Breed. 2020, 40, 21. [Google Scholar] [CrossRef]
  20. Yin, J.; Zou, L.; Zhu, X.; Cao, Y.; He, M.; Chen, X. Fighting the enemy: How rice survives the blast pathogen’s attack. Crop. J. 2021, 9, 543–552. [Google Scholar] [CrossRef]
  21. Xiao, W.; Luo, L.; Wang, H.; Guo, T.; Liu, Y.; Zhou, J.; Zhu, X.; Yang, Q.; Chen, Z. Pyramiding of pi46 and pita to improve blast resistance and to evaluate the resistance effect of the two r genes. J. Integr. Agric. 2016, 15, 2290–2298. [Google Scholar] [CrossRef] [Green Version]
  22. Xiao, N.; Wu, Y.; Pan, C.; Yu, L.; Chen, Y.; Liu, G.; Li, Y.; Zhang, X.; Wang, Z.; Dai, Z.; et al. Improving of rice blast resistances in japonica by pyramiding major r genes. Front. Plant Sci. 2016, 7, 1918. [Google Scholar] [CrossRef] [Green Version]
  23. Jiang, H.; Li, Z.; Liu, J.; Shen, Z.; Gao, G.; Zhang, Q.; He, Y. Development and evaluation of improved lines with broad-spectrum resistance to rice blast using nine resistance genes. Rice 2019, 12, 29. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Ramalingam, J.; Raveendra, C.; Savitha, P.; Vidya, V.; Chaithra, T.L.; Velprabakaran, S.; Saraswathi, R.; Ramanathan, A.; Pillai, M.P.A.; Arumugachamy, S.; et al. Gene pyramiding for achieving enhanced resistance to bacterial blight, blast, and sheath blight diseases in rice. Front. Plant Sci. 2020, 11, 591457. [Google Scholar] [CrossRef] [PubMed]
  25. Xiao, W.; Yang, Q.; Huang, M.; Guo, T.; Liu, Y.; Wang, J.; Yang, G.; Zhou, J.; Yang, J.; Zhu, X.; et al. Improvement of rice blast resistance by developing monogenic lines, two-gene pyramids and three-gene pyramid through mas. Rice 2019, 12, 78. [Google Scholar] [CrossRef]
  26. Semagn, K.; Babu, R.S.; Hearne, S.J.; Olsen, M. Single nucleotide polymorphism genotyping using kompetitive allele specific pcr (kasp): Overview of the technology and its application in crop improvement. Mol. Breed. 2013, 33, 1–14. [Google Scholar] [CrossRef]
  27. Majeed, U.; Darwish, E.; Rehman, S.U.; Zhang, X. Kompetitive allele specific pcr (kasp): A singleplex genotyping platform and its application. J. Agric. Sci. 2018, 11, 1. [Google Scholar] [CrossRef]
  28. Abe, A.; Takagi, H.; Yaegashi, H.; Natsume, S.; Utsushi, H.; Tamiru, M.; Terauchi, R. Next-generation breeding of rice by whole-genome approaches. In Rice Genomics, Genetics and Breeding; Sasaki, T., Ashikari, M., Eds.; Springer: Singapore, 2018; pp. 511–522. [Google Scholar]
  29. Xu, Y.; Yang, Q.; Zheng, H.; Sang, Z.; Zhang, J. Genotyping by Target Sequencing (gbts) and Its Applications. Sci. Agric. Sin. 2020, 53, 2983–3004. [Google Scholar]
  30. Rasheed, A.; Hao, Y.; Xia, X.; Khan, A.; Xu, Y.; Varshney, R.K.; He, Z. Crop breeding chips and genotyping platforms: Progress, challenges, and perspectives. Mol. Plant 2017, 10, 1047–1064. [Google Scholar] [CrossRef] [Green Version]
  31. Yang, D.; Tang, J.; Yang, D.; Chen, Y.; Ali, J.; Mou, T. Improving rice blast resistance of feng39s through molecular marker-assisted backcrossing. Rice 2019, 12, 70. [Google Scholar] [CrossRef] [Green Version]
  32. He, Z.; Xin, Y.; Wang, C.; Yang, H.; Xu, Z.; Cheng, J.; Li, Z.; Ye, C.; Yin, H.; Xie, Z.; et al. Genomics-assisted improvement of super high-yield hybrid rice variety "super 1000" for resistance to bacterial blight and blast diseases. Front. Plant Sci. 2022, 13, 881244. [Google Scholar] [CrossRef]
  33. Guo, Z.; Yang, Q.; Huang, F.; Zheng, H.; Sang, Z.; Xu, Y.; Zhang, C.; Wu, K.; Tao, J.; Prasanna, B.M.; et al. Development of high-resolution multiple-snp arrays for genetic analyses and molecular breeding through genotyping by target sequencing and liquid chip. Plant Commun 2021, 2, 100230. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Breeding scheme for developing introgression lines of C5S carrying rice blast resistance genes Pigm, Pi48 and Pi49.
Figure 1. Breeding scheme for developing introgression lines of C5S carrying rice blast resistance genes Pigm, Pi48 and Pi49.
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Figure 2. Leaf blast resistance of C5S and the improved lines at seedling stage.
Figure 2. Leaf blast resistance of C5S and the improved lines at seedling stage.
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Figure 3. Panicle blast resistance of C5S and the improved lines at grain filling stage.
Figure 3. Panicle blast resistance of C5S and the improved lines at grain filling stage.
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Figure 4. Genetic background of improved lines using the 10K array. The blue color represents homozygous genotype different from C5S, and the black color represents heterozygous genotype. The red dots indicate the positions of the target blast resistance genes.
Figure 4. Genetic background of improved lines using the 10K array. The blue color represents homozygous genotype different from C5S, and the black color represents heterozygous genotype. The red dots indicate the positions of the target blast resistance genes.
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Table 1. Molecular markers used to select individuals with the resistance genes.
Table 1. Molecular markers used to select individuals with the resistance genes.
GeneChrMarkerMarker PositionForward PrimerReverse Primer
Pigm6RM731111046701-11046847agtggtcgttgaactcggagtcgtggcgcctttaatctc
RM717810199892-10200042taaccttcacagcgaacgtgccgtgagatgggctacctac
Pi4812LY211935927-11936129attacgctcgatagtggcctagcgggaggttggaag
Pi4911RM22427673251-27673353atcgatcgatcttcacgaggtgctataaaaggcattcggg
Table 2. Blast resistance of C5S and improved lines.
Table 2. Blast resistance of C5S and improved lines.
MaterialsBlast Resistance GeneLeaf Blast Resistance at Seedling StagePanicle Blast Resistance at Grain Filling Stage
CO39-9.0 ± 0 **9
C5S-6.2 ± 0.57
GM4Pigm1.6 ± 0.2 **3
XZ3150Pi483.2 ± 0.4 **3
MWGPi494.0 ± 0.3 **5
C5S-PigmPigm1.8 ± 0.4 **3
C5S-Pi48Pi483.6 ± 0.5 **5
C5S-Pi49Pi494.8 ± 0.4 **5
C5S-Pigm + Pi48Pigm + Pi481.6 ± 0.2 **3
C5S-Pigm + Pi49Pigm + Pi491.8 ± 0.4 **5
C5S-Pigm + Pi48 + Pi49Pigm + Pi48 + Pi491.6 ± 0.2 **3
** Means the disease severity score difference between improved lines and C5S was significant at 0.01 level. For blast resistance, scores 0–3 are resistant, score 4 is moderately resistant, score 5 is moderately susceptible and scores of 7–9 are susceptible.
Table 3. Agronomic traits of C5S and the improved lines.
Table 3. Agronomic traits of C5S and the improved lines.
LinesGenesPlant Height
(cm)
Panicle Length
(cm)
Flag-Leaf Length
(cm)
Number Primary BranchesNumber of Grains per SpikeLength of the Upmost Internode
(cm)
Length of Panicle Exertion (cm)
C5S 62.7 ± 0.722.1 ± 0.334.1 ± 1.411.0 ± 0.2176.7 ± 7.720.7 ± 0.48.4
C5S-3R-1Pigm + Pi48 + Pi4954.5 ± 0.8 **19.9 ± 0.2 **27.6 ± 1.0 **9.1 ± 0.3 **104.8 ± 3.9 **16.2 ± 0.5 **10.3
C5S-3R-2Pigm + Pi48 + Pi4953.9 ± 0.6 **18.7 ± 0.3 **25.0 ± 0.6 **9.8 ± 0.2 **115.5 ± 4.6 **16.7 ± 0.4 **11.7
C5S-3R-3Pigm + Pi48 + Pi4950.0 ± 0.5 **17.5 ± 0.2 **18.9 ± 1.0 **6.9 ± 0.2 **77.7 ± 2.8 **16.8 ± 0.5 **7.5
C5S-3R-4Pigm + Pi48 + Pi4962.1 ± 0.819.7 ± 0.3 **27.1 ± 1.0 **10.0 ± 0.4 **140.1 ± 6.9 **21.9 ± 0.4 **6.7
C5S-3R-5Pigm + Pi48 + Pi4959.8 ± 0.9 **18.9 ± 0.3 **27.2 ± 0.9 **9.3 ± 0.4 **112.1 ± 6.1 **20.6 ± 0.56.8
** means there is a significant difference at 0.01 level compared with C5S.
Table 4. Agronomic traits of the hybrids of C5S and the improved lines.
Table 4. Agronomic traits of the hybrids of C5S and the improved lines.
MaterialsRestorer LinesPTGMS LinesGenePlant Height (cm)Panicle Length
(cm)
Panicles per PlantGrain Number per PanicleSpikelet Fertility
(%)
1000-Grain Weight (g)Yield per Plant
(g)
22RC11R1128C5S-100.7 ± 1.020.8 ± 2.410.0 ± 1.0178.7 ± 27.478.8 ± 2.925.1 ± 0.835.5 ± 8.4
22RC1221YCS01Pi49115.2 ± 1.9 **22.6 ± 0.49.0 ± 1.0184.5 ± 10.481.6 ± 1.624.4 ± 0.233.1 ± 5.1
22RC1321YCS22Pi48101.7 ± 2.423.3 ± 1.710.0 ± 3.0216.8 ± 15.687.7 ± 4.623.9 ± 2.044.9 ± 12.1
22RC1421YCS23Pigm106.1 ± 4.622.1 ± 1.39.7 ± 0.6209.6 ± 11.882.6 ± 3.126.1 ± 2.743.7 ± 5.1
22RC1521YCS24Pigm + Pi49101.9 ± 1.622.3 ± 1.99.3 ± 0.6211.7 ± 26.379.2 ± 1.025.1 ± 1.839.2 ± 4.9
22RC1621YCS61Pigm + Pi48111.1 ± 2.9 **21.9 ± 1.08.7 ± 0.6212.4 ± 33.083.1 ± 7.029.3 ± 1.6 **45.1 ± 10.5
22RC1721YCS25Pigm + Pi48 + Pi49102.3 ± 1.321.1 ± 0.87.3 ± 0.6202.4 ± 33.788 ± 1.626.4 ± 0.534.5 ± 6.6
22RC21HRZC5S-109.7 ± 2.723.1 ± 0.711.0 ± 0.0229.0 ± 28.786.7 ± 1.724.0 ± 0.252.5 ± 7.9
22RC2221YCS01Pi49106.0 ± 1.120.4 ± 0.8 *15.3 ± 1.2 **168.2 ± 18.9 *89.4 ± 0.723.3 ± 0.553.4 ± 2.3
22RC2321YCS22Pi48101.1 ± 5.3 *21.7 ± 0.911.0 ± 1.0206.7 ± 9.580.1 ± 6.222.9 ± 1.042.3 ± 10.4
22RC2421YCS23Pigm106.7 ± 0.522.5 ± 0.910.7 ± 0.6213.0 ± 20.085.6 ± 2.523.7 ± 0.946.3 ± 6.8
22RC2521YCS24Pigm + Pi49113.1 ± 2.124.7 ± 0.29.0 ± 1.0241.9 ± 14.792.0 ± 2.222.7 ± 0.545.4 ± 3.8
22RC2621YCS61Pigm + Pi48108.7 ± 0.624.4 ± 0.311.3 ± 0.6243.2 ± 10.888.3 ± 1.022.6 ± 0.255.1 ± 4.4
22RC2721YCS25Pigm + Pi48 + Pi49112.4 ± 2.923.6 ± 0.89.0 ± 1.7233.9 ± 25.687.9 ± 2.923.8 ± 0.144.2 ± 11.7
22RC31MFZ1C5S-101.8 ± 1.523.2 ± 0.513.0 ± 2.0181.9 ± 11.882.8 ± 0.722.9 ± 0.844.5 ± 4.0
22RC3221YCS01Pi49112.1 ± 4.8 *24.7 ± 0.612.7 ± 1.2209.7 ± 2.980.2 ± 1.5 *23.1 ± 0.949.0 ± 2.5
22RC3321YCS22Pi48103.5 ± 0.822.0 ± 0.914.0 ± 1.0166.4 ± 16.486.8 ± 5.623.4 ± 0.347.2 ± 5.1
22RC3421YCS23Pigm104.4 ± 6.222.9 ± 0.511.7 ± 0.6208.9 ± 23.180.6 ± 5.521.5 ± 1.142.2 ± 6.3
22RC3521YCS24Pigm + Pi49100.8 ± 2.323.5 ± 0.311.7 ± 0.6207.8 ± 6.1 *88.2 ± 1.920.8 ± 0.2 **44.6 ± 3.1
22RC3621YCS61Pigm + Pi4897.7 ± 3.922.4 ± 0.316.0 ± 1.7191.3 ± 12.478.8 ± 1.222.8 ± 1.454.8 ± 3.3
22RC3721YCS25Pigm + Pi48 + Pi49101.4 ± 2.923.0 ± 0.912.7 ± 0.6199.0 ± 13.485.3 ± 4.022.9 ± 0.349.3 ± 5.3
22RC41SFSMC5S-111.9 ± 5.020.9 ± 0.715.0 ± 1.0151.3 ± 19.987.9 ± 2.924.4 ± 0.955.6 ± 6.2
22RC4221YCS01Pi49103.2 ± 2.621.5 ± 1.014.0 ± 1.0165.0 ± 3.881.8 ± 1.222.8 ± 0.4 *43.1 ± 4.3
22RC4321YCS22Pi48110.3 ± 3.623.9 ± 0.4 **12.3 ± 1.5227.0 ± 6.1 **79.8 ± 7.721.3 ± 0.4 **47.4 ± 4.7
22RC4421YCS23Pigm119.3 ± 0.823.2 ± 0.4 *13.0 ± 1.0220.4 ± 13.7 **87.0 ± 0.822.5 ± 0.4 *56.0 ± 2.6
22RC4521YCS24Pigm + Pi49121.0 ± 1.024.0 ± 0.2 **12.3 ± 0.6208.0 ± 2.6 **81.0 ± 0.222.7 ± 0.2 *47.1 ± 2.5
22RC4621YCS61Pigm + Pi4899.9 ± 7.5 *23.4 ± 1.3 *13.0 ± 1.7214.5 ± 9.2 **86.5 ± 3.321.7 ± 1.0 *52.2 ± 4.6
22RC4721YCS25Pigm + Pi48 + Pi49117.5 ± 1.624.2 ± 0.1 **11.3 ± 1.2 *238.5 ± 17.1 **88.6 ± 3.722.1 ± 0.2 **52.7 ± 5.3
22RC51YNSMC5S-104.2 ± 6.222.8 ± 0.715.7 ± 1.5177.9 ± 22.479.8 ± 0.923.8 ± 0.252.6 ± 1.7
22RC5221YCS01Pi49105.3 ± 3.324.3 ± 1.212.0 ± 1.0 *263.3 ± 30.2 **76.8 ± 4.623.4 ± 1.556.6 ± 5.8
22RC5321YCS22Pi48106.0 ± 0.423.7 ± 0.811.7 ± 0.6 **241.7 ± 25.678.2 ± 5.023.4 ± 0.251.7 ± 8.9
22RC5421YCS23Pigm106.6 ± 1.424.6 ± 0.911.3 ± 0.6 **230.7 ± 9.279.3 ± 5.024.5 ± 0.950.7 ± 1.7
22RC5521YCS24Pigm + Pi49104.0 ± 1.623.6 ± 0.813.0 ± 1.0 *226.3 ± 20.884.8 ± 1.822.3 ± 1.055.8 ± 9.6
22RC5621YCS61Pigm + Pi48104.6 ± 3.523.0 ± 1.411.0 ± 0.0 **241.9 ± 25.882.3 ± 7.322.7 ± 0.149.9 ± 9.0
22RC5721YCS25Pigm + Pi48 + Pi49102.4 ± 2.222.7 ± 0.213.7 ± 0.6212.8 ± 21.985.9 ± 3.422.8 ± 0.456.8 ± 5.9
* and ** means there is a significant difference at 0.05 and 0.01 level compared with hybrids from C5S.
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Peng, P.; Jiang, H.; Luo, L.; Ye, C.; Xiao, Y. Pyramiding of Multiple Genes to Improve Rice Blast Resistance of Photo-Thermo Sensitive Male Sterile Line, without Yield Penalty in Hybrid Rice Production. Plants 2023, 12, 1389. https://doi.org/10.3390/plants12061389

AMA Style

Peng P, Jiang H, Luo L, Ye C, Xiao Y. Pyramiding of Multiple Genes to Improve Rice Blast Resistance of Photo-Thermo Sensitive Male Sterile Line, without Yield Penalty in Hybrid Rice Production. Plants. 2023; 12(6):1389. https://doi.org/10.3390/plants12061389

Chicago/Turabian Style

Peng, Pei, Haoyu Jiang, Lihua Luo, Changrong Ye, and Yinghui Xiao. 2023. "Pyramiding of Multiple Genes to Improve Rice Blast Resistance of Photo-Thermo Sensitive Male Sterile Line, without Yield Penalty in Hybrid Rice Production" Plants 12, no. 6: 1389. https://doi.org/10.3390/plants12061389

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