Analysis of Blast Resistance Genes and Neck Blast Resistance of japonica Rice Varieties/Lines Recently Developed in Jiangsu Province

doi:10.16819/j.1001-7216.2020.0208

Abstract

Abstract:

【Objective】Evaluating the breeding potential of the known blast resistance (R) genes harbored in rice varieties is one of prerequisites for developing rice blast resistant varieties and R genes-based control of the disease epidemic. 【Method】A total of 195 new japonica varieties/lines from Jiangsu Province were genotyped using functional markers corresponding to 14 rice blast R gene loci. In order to identify gene or gene combination with breeding potential against neck-blast, 158 japonica rice varieties were then artificially inoculated with blast strains as well as 17 advanced backcrossing lines containing Pigm gene in two different genetic backgrounds at booting stage. 【Result】Most varieties carried 2 to 5 R genes, and none of new varieties contained Pigm; the distribution frequencies of Pib, Pita and Pikh were relatively high and all exceeded 45%, the rest 10 genes were under 30%; Pid3, Pid2, Pia and Pb1 had apparently higher frequency in lines from regional tests than that in authorized and released varieties. Three genes with effects ordered as Pia > Pi3/5/i > Pita significantly contributed to neck-blast resistance, and significantly positive interaction effects were found between Pia and Pita, and between Pi3/5/i and Pita. Combination effect of Pia+Pita was significantly higher than that of Pi3/5/i+Pita, and the varieties harboring Pia+Pita reached resistant or highly resistant levels. The resistance of 17 advanced backcrossing lines carrying Pigm was all significantly improved as compared with corresponding controls, and all reached resistant level or even higher. 【Conclusion】 The results suggested that Pigm and the combination of Pia+Pita have critically important breeding potential in japonica rice breeding against neck blast in Jiangsu Province.

Key words: japonica rice, neck blast, resistance gene, gene distribution, breeding value

摘要：

【目的】明确水稻品种携带的抗稻瘟病基育种应用价值,是利用抗病基因培育抗病品种控制病害流行的重要前期工作。【方法】利用功能标记分析了14个抗稻瘟病基因在江苏近年育成的195个粳稻新品种/系中的分布情况,并对其中158个品种和17份携带抗稻瘟病基因Pigm的高世代回交株系进行穗颈瘟接种鉴定。【结果】大多数品种携带2~5个抗病基因,但所有品种均不含有Pigm基因;Pib、Pita和Pikh基因在供试品种中的分布频率较高,均在45%以上,其余基因均在30%以内;Pid3、Pid2、Pia、Pb1在新育成品种中的出现频率明显高于审定品种。测试品种对穗颈瘟的抗性主要与3个基因显著相关,贡献率由高至低依次为Pia、Pi3/5/i和Pita;其中,Pia或Pi3/5/i与Pita间的聚合效应均显著高于各基因单独存在时的抗病效应,且以Pia和Pita间的聚合效应最强,携带该基因组合的所有品种对穗颈瘟均表现抗至高抗水平抗性。回交导入Pigm基因的所有17份株系对穗颈瘟的抗性均显著高于各自轮回亲本,且均达到了抗病以上水平。【结论】抗病基因Pigm及基因组合“Pia+Pita”在江苏粳稻抗穗颈瘟育种中具有重要的育种应用价值。

关键词: 粳稻, 穗颈瘟, 抗病基因, 基因分布, 育种价值

CLC Number:

S435.111.4⁺1

Xiaoqiu WANG, Haibo DU, Xijun CHEN, Mingyou LI, Jianan WANG, Zhiwen XU, Zhiming FENG, Zongxiang CHEN, Shimin ZUO. Analysis of Blast Resistance Genes and Neck Blast Resistance of japonica Rice Varieties/Lines Recently Developed in Jiangsu Province[J]. Chinese Journal OF Rice Science, 2020, 34(5): 413-424.

王小秋, 杜海波, 陈夕军, 李明友, 王嘉楠, 许志文, 冯志明, 陈宗祥, 左示敏. 江苏近年育成粳稻新品种/系的稻瘟病抗性基因及穗颈瘟抗性分析[J]. 中国水稻科学, 2020, 34(5): 413-424.

Figures/Tables 11

Table 1 Information of controls used in detection of resistance genes to blast disease in present study.

基因	染色体	阳性对照	阴性对照	基因	染色体	阳性对照	阴性对照
Gene	Chr.	Control 1	Control 2	Gene	Chr.	Control 1	Control 2
Pit	1	IRBLt-K59	丽江新团黑谷LTH	Pia	11	IRBLa-A	丽江新团黑谷LTH
Pib	2	IRBLb-B	丽江新团黑谷LTH	Pik	11	IRBLk-Ka	丽江新团黑谷LTH
Pigm	6	谷梅4号Gumei 4	丽江新团黑谷LTH	Pikm	11	IRBLkm-Ts	日本晴Nipponbare
Pid3	6	地谷Digu	丽江新团黑谷LTH	Pikh	11	IRBLkh-K3	丽江新团黑谷LTH
Pi25	6	地谷Digu	丽江新团黑谷LTH	Pi1	11	IRBL1-CL	日本晴Nipponbare
Pid2	6	地谷Digu	丽江新团黑谷LTH	Pb1	11	镇稻18 Zhendao 18	日本晴Nipponbare
Pid2	6	地谷Digu	丽江新团黑谷LTH	Pita	12	IRBLta-K1	丽江新团黑谷LTH
Pi3/5/i	9	IRBL5-M	丽江新团黑谷LTH

Table 2 Information of molecular markers used in detection of resistant genes to blast disease in present study.

基因 Gene	染色体 Chr.	标记 Marker	引物序列(5'-3') Primer sequences(5'-3')	片段大小 Fragment size / bp	抗/感病功能 Function	限制性内切酶 Enzyme	参考文献 Reference
Pit	1	tRn1	F: GTTGGAGCTACGGTTGTTCAG	733	抗 R		[20]
		tRn2	F: CCAAGGGATTAGGTCCTAGTG	733	抗 R
		tN11	R: CAGCGATGGTATGAGCACAA	530	感 S
Pib	2	Pibdom	F: GAACAATGCCCAAACTTGAGA	365	抗 R		[21]
		Pibdom	R: GGGTCCACATGTCAGTGAGC	365	抗 R
		Lys145	F: TCGGTGCCTCGGTAGTCAGT	803	感 S
		Lys145	R: GGGAAGCGGATCCTAGGTCT	803	感 S
Pigm	6	GMR-3	F: AGTTCTACTTACGGAGGAGC	146+98	抗 R		[22]
		GMR-3	R: AGAATTATGATAAAGAGAAAGGAA	146+98	抗 R
		Actin1-1	F: ACAAAGTTTTCAACCGGCCTA	146	感 S
		Actin1-1	R: CTGGTACCCTCATCAGGCATC	146	感 S
Pid3	6	Pid3-dCAPS	F: TACTACTCATGGAAGCTAGTTCTC	751	抗 R	BamH I	[23]
Pid3	6	Pid3-dCAPS	R: ACGTCACAAATCATTCGCTC	751	抗 R	BamH I	[23]
Pi25	6	CAP3	F: CCTCACGTTTCTACGTCTTG	490	抗 R	Nde I	[24]
Pi25	6	CAP3	R: CACACCATTTCTGATGAACC	490	抗 R	Nde I	[24]
Pid2	6	D2	F: TTGGCTATCATAGGCGTCC	1057	抗 R	MIu I	[25]
Pid2	6	D2	R: ATTTGAAGGCGTTTGCGTAGA	1057	抗 R	MIu I	[25]
Pi3/5/i	9	M-Pi5	F: ATAGATCATGCGCCCTCTTG	206	抗 R		[26]
Pi3/5/i	9	M-Pi5	R: ATAGATCATGCGCCCTCTTG	307	感 S		[26]
Pia	11	Pia	F: CTTTTGAGCTTGATTGGTCTGC	116	抗 R		[27]
Pia	11	Pia	R: CTATTGCACCAGAGGGACCAG	125	感 S		[27]
Pik	11	RGA4	F: GGAAAGCTGATATGTTGTCG	1650 -	抗 R
Pik	11	RGA4	R:ACTCGGAGTCGGAGAGTCAG	1650 -	感 S
Pikh	11	FM143	F: CCCAACATTGGTAGTAGTGC	285	抗 R		[28]
Pikh	11	FM143	R: TCCTTCATACGCAAVCCAATCT	401	感 S		[28]
Pikm	11	DKm1	F: TGAGCTCAAGGCAAGAGTTGAGGA	174	抗 R		[29]
		DKm1	R: TGTTCCAGCAACTCGATGAG	213	感 S
		DKm2	F: CAGTAGCTGTGTCTCAGAACTATG	290	抗 R
		DKm2	R: AAGGTACCTCTTTTCGGCCAG	332	感 S
Pi1	11	M-Pi1	F: GTGCTGCTGTGGCTAGTTTG	460 -	抗 R		[30]
Pi1	11	M-Pi1	R: AGTCCCCGCTCAATTTTTCT	460 -	感 S		[30]
Pb1	11	Pb1	F: ATCAACGCTACCTTCCC	159 -	抗 R		[31]
Pb1	11	Pb1	R: GTGCCATCACAATTTCTTC	159 -	感 S		[31]
Pita	12	Pita-R	F: AGCAGGTTATAAGCTAGGCC	1042	抗 R		[32]
		Pita-R	R: CTACCAACAAGTTCATCAAA	1042	抗 R
		Pita-S	F: AGCAGGTTATAAGCTAGCTAT	1042	感 S
		Pita-S	R: CTACCAACAAGTTCATCAAA	1042	感 S

Fig. 1. Validation of the molecular markers in determining the corresponding resistance gene using known positive and negative varieties or lines as well as 10 japonica varieties randomly selected from Jiangsu Province. In the picture, the lanes from left to right are DNA Markers, positive control, negative control and 10 random japonica varieties from Jiangsu Province; About the DNA markers, expect Pid2 and Pia were DL2000, Pit was 20 bp DNA ladder, others was DL10000; The information of positive and negative control is listed in Table 1.

Fig. 2. Distribution frequency of resistance genes in japonica rice from Jiangsu Province(A) and the distribution of gene number carried by varieties(B).

Fig. 3. Distribution of resistance genes in different types of japonica rice.

Fig. 4. Comparison of resistance gene distribution frequency between varieties authorized before 2019 and regional test varieties in 2019.

Fig. 5. Distribution of disease grade in varieties tested. EMMLJ, Early- and medium-maturity late japonica rice; LMMJ, Late-maturity medium japonica rice; MMMJ, Medium-maturity medium japonica rice.

Fig. 6. Analysis of the resistance gene number carried by each variety and disease grade.

Fig. 7. Logistic regression statistical analysis about the contribution of each resistance genes to neck blast resistance. A and B mean single gene one by one logistic regression statistical parameter chart and multigene logistic regression statistical parameter chart, respectively; In regressive analysis, if the regression coefficient reached significant or extremely significant level, then there will be a P value around the specific gene; The dark dots mean dominance ration, the dark lines mean 95% confidence interval of each dominance ration.

Fig. 8. Contribute significantly of three genes to the resistance of neck blast resistance and the comparison of disease grade differences among them and their combinations. - means the absence of the specific resistance gene; The value above each bar means the average disease grade of each gene or gene combination; The lowercase letter means significance difference at 5% level between two disease grades.

Fig. 9. Resistance performance of advanced backcrossing lines with Pigm and the corresponding recurrent parents.

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