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Acta Agronomica Sinica ›› 2023, Vol. 49 ›› Issue (5): 1170-1183.doi: 10.3724/SP.J.1006.2023.22024

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Identification of rice blast resistance in xian and geng germplasms by genome- wide association study

ZHOU Hai-Ping1(), ZHANG Fan2, CHEN Kai3, SHEN Cong-Cong3, ZHU Shuang-Bing3, QIU Xian-Jin4,*(), XU Jian-Long2,3,5,*()   

  1. 1Wenzhou Academy of Agricultural Sciences/South-Zhejiang Crop Breeding Key Laboratory, Wenzhou 325000, Zhejiang
    2Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    3Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, Guangdong, China
    4College of Agriculture, Yangtze University, Jingzhou 434025, Hubei, China
    5Hainan Yazhou Bay Seed Laboratory, Sanya 572024, Hainan, China
  • Received:2022-04-24 Accepted:2022-09-05 Online:2023-05-12 Published:2022-09-15
  • Contact: *E-mail: xujianlong@caas.cn;E-mail: xjqiu216@yangtzeu.edu.cn
  • Supported by:
    Hainan Yazhou Bay Seed Laboratory(B21HJ0216);Wenzhou Agricultural New Variety Breeding Collaborative Project(2019ZX006)

Abstract:

Rice blast is one of the major fungal diseases that threaten rice production worldwide. To improve rice blast resistance, identifying blast resistant genes and introgressing them into elite rice varieties is an effective way. In this study, a panel of 212 xian accessions and 235 geng accessions collected worldwide were evaluated for resistance against five blast isolates at seedling stage. All of them showed large variations in resistance against five isolates, and 8 xian and 12 geng accessions were detected to present resistance to all five blast isolates. Using genome-wide association strategy, a total of 43 QTLs were identified for resistance to five isolates in mix population (xian subpopulation and geng subpopulation), including 9, 4, 14, 14, and 2 QTLs for GD00-193, GD08-T19, GD17-CQ16, HB1708, and HLJ13-856, respectively. Among them, 12 resistant QTLs were detected only in xian rice sub-population, 7 only detected in geng rice sub-population, and 1 simultaneously detected in both sub-populations, indicating that blast resistance was generally better in xian than in geng rice, and there was obvious differentiation in blast resistance between xian and geng rice. A total of 11 QTLs affected resistance to two or more trains or were simultaneously identified in two or more populations, and 23 candidate genes were identified by candidate interval association analysis and haplotype analysis. Different resistance candidate genes had different frequencies in xian and geng populations. The results provide germplasm resources and favorable genes information for molecular improvement of blast resistance in rice varieties and the breeding and utilization strategies of different resistance genes.

Key words: blast resistance, germplasm, genome-wide association study, quantitative trait locus (QTLs), favorable allele

Table 1

Resistance of germplasm to five blast isolates at seedling stage in the worldwide germplasms"

稻瘟病菌株
Blast isolate
混合群体 Mix population 籼稻 Xian rice 粳稻 Geng rice P a
平均值±
标准差
Mean ± SD
变幅
Range
变异系数
CV (%)
平均值±
标准差
Mean ± SD
变幅
Range
变异系数
CV (%)
平均值±
标准差
Mean ± SD
变幅
Range
变异系数
CV (%)
GD00-193 4.13±1.98 1-8 47.96 4.61±1.97 1-8 42.75 3.69±1.98 1-8 53.64 1.51×10-6
GD08-T19 2.87±1.33 1-7 46.29 2.87±1.39 1-7 48.39 2.83±1.23 1-6 43.43 0.76
GD17-CQ16 4.58±2.02 1-8 44.18 4.72±1.98 1-8 42.07 4.35±2.05 1-8 47.10 0.058
HB1708 4.21±2.00 1-7 47.48 4.41±1.93 1-7 43.90 4.08±1.96 1-7 48.17 0.076
HLJ13-856 3.27±1.42 1-7 43.39 3.02±1.35 1-6 44.66 3.52±1.45 1-7 41.26 2.02×10-4

Table 2

Correlation coefficients of blast resistances against five isolates in mix population, xian and geng subpopulations"

GD00-193 GD08-T19 GD17-CQ16 HB1708
GD08-T19 0.09
0.08
0.11
GD17-CQ16 0.49** 0.08
0.46** 0.09
0.51** 0.15*
HB1708 0.62** 0.12* 0.46**
0.65** 0.09 0.45**
0.60** 0.11 0.49**
HLJ13-856 -0.03 0.07 0.01 0.07
-0.04 0.08 0.05 -0.06
0.16* 0.08 0.09 0.21**

Table 3

QTLs identified against GD00-193 and GD17-CQ16 in the three populations"

稻瘟病菌株
Blast isolate
QTL 混合群体/Mix population 籼稻 Xian rice 粳稻 Geng rice 前人克隆的基因
Previously cloned genes
染色体
Chr.
峰值SNP
Peak SNP
P
P-value
贡献率
R2 (%)
染色体
Chr.
峰值SNP
Peak SNP
P
P-value
贡献率
R2 (%)
染色体
Chr.
峰值SNP
Peak SNP
P
P-value
贡献率
R2 (%)
GD00-193 qGD001-1 1 1,552,373 4.69E-07 4.48
qGD001-2 1 29,020,467 1.48E-08 17.94
qGD001-3 1 33,145,916 9.94E-08 11.23 Pish/ Pi37 [27,28]
qGD003 3 16,012,660 1.68E-06 2.78
qGD004 4 34,840,786 2.41E-06 1.72
qGD006 6 10,380,192 3.32E-06 13.49 Piz-t/Pi2/Pi9/Pi50/Pi-gm [23]
qGD008 8 17,498,650 2.32E-07 15.86 8 17,465,932 3.67E-06 15.90
qGD009 9 10,969,346 3.77E-07 2.89
qGD011 11 15,664,938 2.18E-06 13.78
GD17-CQ16 qGD171-1 1 1,302,057 3.67E-07 19.43
qGD171-2 1 1,568,573 8.78E-10 6.25
qGD171-3 1 28,986,912 1.35E-07 9.70 pitp(t) [26]
qGD173-1 3 14,041,426 2.36E-07 5.97
qGD173-2 3 25,260,390 6.15E-07 7.27
qGD176-1 6 11,067,689 5.83E-08 9.18
qGD176-2 6 22,491,478 1.68E-06 3.58
qGD177 7 4,852,217 1.34E-06 4.93 7 4,852,217 3.96E-06 4.23 qDI14-7 [31]
qGD178 8 20,759,700 7.36E-09 3.56 GF14c [39]
qGD179 9 10,755,714 2.91E-07 9.00
qGD1710 10 19,198,827 8.20E-08 3.03
qGD1711-1 11 7,018,865 7.34E-07 1.95 11 7,086,996 1.93E-06 10.64 Pia/RGA4/Os11gRGA4 /RGA5/Os11gRGA5 [32,33]
qGD1711-2 11 27,821,721 1.63E-08 6.76 11 27,724,695 6.15E-06 7.79 11 27,821,721 2.36E-08 3.69 Pik [34]
qGD1712 12 17,657,476 1.75E-07 7.32

Fig. S1

Manhattan plots and QQ plots of markers associated with five blast strains."

Table 4

QTLs identified against GD08-T19, HB1708, and HLJ13-856 in the three populations."

稻瘟病菌株
Blast isolate
QTL 混合群体/Mix population 籼稻/Xian 粳稻/Geng 前人克隆的基因
Previously cloned genes
染色体
Chr.
峰值SNP
Peak SNP
P
P-value
贡献率
R2 (%)
染色体
Chr.
峰值SNP
Peak SNP
P
P-value
贡献率
R2 (%)
染色体
Chr.
峰值SNP
Peak SNP
P
P-value
贡献率
R2 (%)
GD08-T19 qGD086 6 6,535,818 2.41E-06 12.44 Pi27(t) [30]
qGD0811 11 22,027,592 1.14E-06 9.24
qGD0812-1 12 10,118,034 4.36E-06 8.19
qGD0812-2 12 12,070,327 7.84E-07 5.89
HB1708 qHB171-1 1 1,523,579 1.12E-06 3.39
qHB171-2 1 2,388,489 2.94E-06 3.70 Pit [25]
qHB171-3 1 33,005,596 1.32E-10 1.08 1 33,092,697 1.52E-07 1.09 Pish/ Pi37 [27,28]
qHB173 3 10,681,409 3.64E-06 10.87
qHB174 4 17,870,237 4.80E-07 17.50
qHB175-1 5 3,738,799 2.47E-06 7.80 Pi25(t) [30]
qHB175-2 5 28,480,050 4.05E-07 4.30
qHB176-1 6 10,425,293 8.48E-08 4.22 6 10,451,191 1.60E-06 12.64 Piz-t/Pi2/Pi9/Pi50/Pi-gm [23]
qHB176-2 6 22,699,279 1.41E-07 8.36
qHB177 7 4,833,062 1.18E-08 10.94 qDI14-7 [31]
qHB178-1 8 6,463,393 2.81E-11 10.82 8 6,463,393 4.42E-11 32.11
qHB178-2 8 20,852,827 2.77E-06 1.81 GF14c [39]
qHB1710 10 5,633,234 2.00E-07 8.35
qHB1711 11 20,645,223 1.72E-07 10.16
HLJ13-856 qHL132 2 35,127,933 1.26E-07 18.93 Pib [29]
qHL1311 11 7,037,500 1.42E-06 2.02 Pia/RGA4/Os11gRGA4 /RGA5/Os11gRGA5 [32,33]

Fig. 1

Candidate interval association and haplotype analysis of seven single candidate loci Different lowercase letter represents significantly difference at P < 0.01 in haplotype analysis."

Fig. 2

Candidate interval association and haplotype analysis of four multiple candidate locus Different lowercase letter represents significantly difference at P < 0.01 in haplotype analysis."

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