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. 2019 Mar 1;12(1):11.
doi: 10.1186/s12284-019-0264-3.

Comprehensive evaluation of resistance effects of pyramiding lines with different broad-spectrum resistance genes against Magnaporthe oryzae in rice (Oryza sativa L.)

Yunyu Wu  1   2 , Ning Xiao  1   2 , Yu Chen  3 , Ling Yu  1   2 , Cunhong Pan  1   4 , Yuhong Li  1   2 , Xiaoxiang Zhang  1   2 , Niansheng Huang  1   2 , Hongjuan Ji  1   2 , Zhengyuan Dai  1   4 , Xijun Chen  5 , Aihong Li  6   7   8
Affiliations

Comprehensive evaluation of resistance effects of pyramiding lines with different broad-spectrum resistance genes against Magnaporthe oryzae in rice (Oryza sativa L.)

Yunyu Wu et al. Rice (N Y). .

Abstract

Background: Broad-spectrum resistance gene pyramiding helps the development of varieties with broad-spectrum and durable resistance to M. oryzae. However, detailed information about how these different sources of broad-spectrum resistance genes act together or what are the best combinations to achieve broad-spectrum and durable resistance is limited.

Results: Here a set of fifteen different polygene pyramiding lines (PPLs) were constructed using marker-assisted selection (MAS). Using artificial inoculation assays at seedling and heading stage, combined with natural induction identification under multiple field environments, we evaluated systematically the resistance effects of different alleles of Piz locus (Pigm, Pi40, Pi9, Pi2 and Piz) combined with Pi1, Pi33 and Pi54, respectively, and the interaction effects between different R genes. The results showed that the seedling blast and panicle blast resistance levels of PPLs were significantly higher than that of monogenic lines. The main reason was that most of the gene combinations produced transgressive heterosis, and the transgressive heterosis for panicle blast resistance produced by most of PPLs was higher than that of seedling blast resistance. Different gene pyramiding with broad-spectrum R gene produced different interaction effects, among them, the overlapping effect (OE) between R genes could significantly improve the seedling blast resistance level of PPLs, while the panicle blast resistance of PPLs were remarkably correlated with OE and complementary effect (CE). In addition, we found that gene combinations, Pigm/Pi1, Pigm/Pi54 and Pigm/Pi33 displayed broad-spectrum resistance in artificial inoculation at seedling and heading stage, and displayed stable broad-spectrum resistance under different disease nursery. Besides, agronomic traits evaluation also showed PPLs with these three gene combinations were at par to the recurrent parent. Therefore, it would provide elite gene combination model and germplasms for rice blast resistance breeding program.

Conclusions: The development of PPLs and interaction effect analysis in this study provides valuable theoretical foundation and innovative resources for breeding broad-spectrum and durable resistant varieties.

Keywords: Blast resistance; Broad-spectrum resistance; Polygene pyramiding line; Rice.

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The authors declare that they have no competing interests.

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Figures

Fig. 1
Fig. 1
Breeding scheme for generation of PPLs. FS, foreground selection of Pi genes; BS, background selection by GBS analysis; PS, phenotype selection for yield and morphology related traits
Fig. 2
Fig. 2
Resistance performances of PPLs for seedling and panicle blast resistance. a Correlation analysis of seedling blast resistance with panicle blast resistance of NILs, b Correlation analysis of seedling blast resistance with panicle blast resistance of PPLs, c Comprehensive comparative analysis on seedling blast RF of PPLs, NILs and the recurrent parent, d Comprehensive comparative analysis on panicle blast RF of PPLs, NILs and the recurrent parent, e transgressive heterosis for seedling blast and panicle blast resistance produced by PPLs after different broad-spectrum R gene pyramided
Fig. 3
Fig. 3
Different interaction effects in PPLs and their relationship with seedling blast and panicle blast RF of PPLs. a Four interaction effects produced in PPLs, b Correlation between interaction effects and RF of PPLs. β is the partial regression coefficient value of the linear regression, c Principal component analysis of OE with seedling blast RF of PPLs, d Principal component analysis of OE + CE with panicle blast RF of PPLs
Fig. 4
Fig. 4
Four interaction effects affect the seedling and panicle blast resistance level of PPLs. a The interaction effects affect seedling blast resistance level of PPLs, b The interaction effects affect panicle blast resistance level of PPLs
Fig. 5
Fig. 5
Resistance performances of PPLs in the three blast nurseries. a Relationship between HPP of PPLs at three disease nurseries and the RF of PPLs in artificial inoculation evaluation; b Resistance variation of NILs among different disease nurseries; c Resistance variation of PPLs among different disease nurseries. SH: Shanghang; JGS: Jinggangshan; HS: Huangshan; Different lower-case letters indicate significant differences at the P < 0.001 level by one-way ANOVA
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