Breeding Introgression Line ‘Jijing 88’ (hd2/hd4) with Molecular Selection

doi:10.11924/j.issn.1000-6850.casb2022-0062

Abstract

Abstract:

The aim of this study is to transform rice heading stage genes hd2 and hd4 into an excellent variety ‘Jijing 88’, and further develop rice ‘Jijing 88’ (hd2/hd4) introgression lines which are suitable for planting in the northern part of Heilongjiang Province. With ‘Jijing 88’ as the receptor and ‘Kongyu 131’ as the donor, ‘Jijing 88’(hd2/hd4) introgression lines were created by molecular selection and backcrossing. The growth period, agronomic characters and yield of the introgression lines were identified in the third accumulated temperature area of cold region. ‘Jijing 88’ was crossed with ‘Kongyu 131’, ‘Jijing 88’ was used as the recurrent parent for 4 backcrosses, and the backcross offspring were self-crossed for 2 times. In each generation, Hd2-Caps and Hd4-Caps were used for foreground selection, and SSR markers were used for background selection. Thus, ‘Jijing 88’(hd2/hd4) introgression lines-1 and ‘Jijing 88’ (hd2/hd4) introgression lines-2 were obtained. Both of them had similar heading stage to ‘Kongyu 131’ and plant type characteristics to ‘Jijing 88’, but the yield was significantly higher than that of ‘Kongyu 131’. The successful breeding of rice ‘Jijing 88’ (hd2/hd4) introgression lines has made it possible for the lines to be used in the third accumulated temperature region and the lower limit of the second accumulated temperature region in Heilongjiang Province.

Key words: rice, ‘Jijing88’, molecular selection, heading stage gene, introgression line

CLC Number:

S511.22

LI Rongtian, SHI Liu, HUANG Liying, LIU Changhua. Breeding Introgression Line ‘Jijing 88’ (hd2/hd4) with Molecular Selection[J]. Chinese Agricultural Science Bulletin, 2022, 38(33): 1-9.

Figures/Tables 11

基因	引物	引物序列	内切酶	条带长度/bp
Hd2(hd2)	Hd2-Caps-F	5′-GGTGCGGTACCAGACCAGAAAGAGGC-3′ 5′-CACCACCCTGCTGTTGTTGG-3′	XcmI酶	84(Hd2)或101(hd2)
Hd2(hd2)	Hd2-Caps-R	5′-GGTGCGGTACCAGACCAGAAAGAGGC-3′ 5′-CACCACCCTGCTGTTGTTGG-3′	XcmI酶	84(Hd2)或101(hd2)
Hd4(hd4)	Hd4-Caps-F	5′-CGGCGCCCCGGCGCCACCGGTGCTC-3′ 5′-GCGGCGGGTAGTCATCGAAC-3′	XhoI酶	84(Hd4)或104(hd4)
Hd4(hd4)	Hd4-Caps-R	5′-CGGCGCCCCGGCGCCACCGGTGCTC-3′ 5′-GCGGCGGGTAGTCATCGAAC-3′	XhoI酶	84(Hd4)或104(hd4)

标记	连锁群	标记	连锁群	标记	连锁群	标记	连锁群	标记	连锁群	标记	连锁群
RM583	1	RM85	3	RM274	5	RM336	7	RM219	9	RM209	11
RM1195	1	RM232	3	RM267	5	RM481	7	RM278	9	RM224	11
RM493	1	RM8277	3	RM598	5	RM43	7	OSR28	9	RM21	11
RM443	1	RM424	3	RM571	5	RM567	7	RM542	9	RM332	11
RM10253	1	RM5393	3	RM3683	5	RM1357	7	RM23998	9	RM26315	11
RM10397	1	RM5442	3	RM18236	5	RM21321	7	RM24049	9	RM26362	11
RM71	2	RM471	4	RM190	6	RM72	8	RM331	10	RM19	12
RM208	2	RM119	4	RM253	6	RM339	8	RM258	10	RM17	12
RM561	2	RM551	4	RM176	6	RM331	8	RM590	10	RM3331	12
RM490	2	RM423	4	RM231	6	RM289	8	RM316	10	RM7102	12
RM3857	2	RM16304	4	RM5218	6	RM8020	8	RM5304	10	RM5653	12
RM5607	2	RM5607	4	RM4923	6	RM22508	8	RM6962	10	RM27783	12

连锁群	标记	数量	连锁群	标记	数量
1	RM583, RM1195, RM443	3	7	RM561, RM1357, RM21321	3
2	RM490, RM 71, RM3857	3	8	RM339, RM289, RM8020	3
3	RM232, RM8277, RM424	3	9	RM278, RM542, RM542	3
4	RM471, RM423, RM551	3	10	RM590, RM5304, RM316	3
5	RM267, RM571, RM3683	3	11	RM224, RM26362	2
6	RM190, RM253, RM176	3	12	RM19, RM7102	2

世代	总株数/株	前景选择植株/个	入选植株
世代	总株数/株	前景选择植株/个	杂合状态的背景选择SSR	背景恢复率/%
BC₁F₁	69	19	RM232, RM190, RM253, RM1357, RM289, RM176, RM21321	79.41
BC₂F₁	52	13	RM176, RM253, RM1357, RM21321	88.23
BC₃F₁	20	8	RM1357, RM21321	94.12
BC₄F₁	4	1	—	100.00

性状	空育131				导入系-1				导入系-2
性状	Ⅰ	Ⅱ	Ⅲ	$X ˉ$	Ⅰ	Ⅱ	Ⅲ	$X ˉ$	Ⅰ	Ⅱ	Ⅲ	$X ˉ$
株高/cm	80.38	81.12	80.57	80.69	97.46	96.82	97.49	97.26^**	93.26	94.41	94.02	93.90^**
穗数/(穗/株)	18.00	19.00	18.00	18.60	15.00	16.00	17.00	16.00^*	17.00	16.00	16.00	16.33^*
穗长/cm	14.91	14.68	14.15	14.58	16.07	16.64	16.38	16.36^**	15.60	16.30	15.30	15.73 ^*
穗重/g	35.25	34.16	33.96	34.46	42.05	42.84	43.17	42.69^**	38.93	41.72	40.56	40.40 ^**
穗粒数/(粒/穗)	79.00	79.00	80.00	79.33	130.00	132.00	129.00	130.33^**	123.00	121.00	119.00	121.00^**
结实率/%	92.76	90.50	89.75	91.00	86.01	83.63	85.62	85.09^**	85.11	88.12	87.89	87.04^*
千粒重/g	25.85	25.38	25.81	25.68	22.95	22.62	23.04	22.87^**	21.59	22.48	22.11	22.06^**
产量/(kg/m²)	0.93	0.86	0.96	0.92	1.09	1.18	1.22	1.16 ^**	1.16	1.03	1.12	1.10^*
倒伏指数	150.56	149.48	149.45	149.83	129.59	131.84	129.66	130.36^**	129.62	130.80	130.00	130.14^**

性状	空育131				导入系-1				导入系-2
性状	Ⅰ	Ⅱ	Ⅲ	$X ˉ$	Ⅰ	Ⅱ	Ⅲ	$X ˉ$	Ⅰ	Ⅱ	Ⅲ	$X ˉ$
株高/cm	80.38	81.12	80.57	80.69	97.46	96.82	97.49	97.26^**	93.26	94.41	94.02	93.90^**
穗数/(穗/株)	18.00	19.00	18.00	18.60	15.00	16.00	17.00	16.00^*	17.00	16.00	16.00	16.33^*
穗长/cm	14.91	14.68	14.15	14.58	16.07	16.64	16.38	16.36^**	15.60	16.30	15.30	15.73 ^*
穗重/g	35.25	34.16	33.96	34.46	42.05	42.84	43.17	42.69^**	38.93	41.72	40.56	40.40 ^**
穗粒数/(粒/穗)	79.00	79.00	80.00	79.33	130.00	132.00	129.00	130.33^**	123.00	121.00	119.00	121.00^**
结实率/%	92.76	90.50	89.75	91.00	86.01	83.63	85.62	85.09^**	85.11	88.12	87.89	87.04^*
千粒重/g	25.85	25.38	25.81	25.68	22.95	22.62	23.04	22.87^**	21.59	22.48	22.11	22.06^**
产量/(kg/m²)	0.93	0.86	0.96	0.92	1.09	1.18	1.22	1.16 ^**	1.16	1.03	1.12	1.10^*
倒伏指数	150.56	149.48	149.45	149.83	129.59	131.84	129.66	130.36^**	129.62	130.80	130.00	130.14^**

References 35

[1]	贾旋, 杨青如, 文喜贤, 等. 水稻大钵体毯状苗机械育插秧技术研究与应用[J]. 中国稻米, 2022, 28(1):18-22,27. doi: 10.3969/j.issn.1006-8082.2022.01.004
[2]	唐亮, 陈温福. 东北粳稻发展趋势及展望[J]. 中国稻米, 2021, 27(5):1-4. doi: 10.3969/j.issn.1006-8082.2021.05.001
[3]	范志伟, 苏源, 徐胜光. 光照对不同生育期水稻根、叶界面CO₂交换的影响[J]. 西南农业学报, 2020, 33(5):941-946.
[4]	王秋菊, 张玉龙, 刘峰, 等. 黑龙江省水稻品种跨积温区种植的产量和品质变化[J]. 应用生态学报, 2013, 24(5):1381-1386.
[5]	赵凤民, 李修平, 薛菁芳, 等. 黑龙江省香稻资源遗传多样性分析[J]. 分子植物育种, 2020, 18(12):4120-4127.
[6]	刘丹, 王嘉宇, 刘进, 等. 黑龙江省部分育成粳稻资源的遗传多样性分析[J]. 植物遗传资源学报, 2019, 20(1):60-68.
[7]	张科, 魏海锋, 卓大龙, 等. 黑龙江省近年审定水稻品种基于SSR标记的遗传多样性分析[J]. 植物遗传资源学报, 2016, 17(3):447-454.
[8]	徐丽丽, 刘书涵, 李世伟, 等. 黑龙江省部分有色稻种质资源的遗传多样性分析[J]. 种子, 2020, 39(8):34-39.
[9]	陈书强. 施氮量和比例对不同类型水稻品种穗部性状和产量的影响[J]. 黑龙江农业科学, 2019(6):40-46.
[10]	张三元, 张俊国, 严永峰, 等. 吉林省超级稻育种研究与实践[J]. 沈阳农业大学学报, 2012, 43(6):681-687.
[11]	张俊国, 张三元, 全成哲, 等. 超级稻吉粳88的优异特性及推广应用[J]. 中国稻米, 2008(3):42-44.
[12]	林晋军, 姚威, 彭沙莎, 等. 水稻抽穗期性状QTL的全基因组关联定位分析[J]. 湖南农业大学学报:自然科学版, 2021, 47(3):283-290.
[13]	LU L, YAN W H, XUE W Y, et al. Evolution and association analysis of Ghd7 in rice[J]. Plos one, 2012, 7(5):e34021. doi: 10.1371/journal.pone.0034021 URL
[14]	LIU T M, LIU H Y, ZHANG H, et al. Validation and characterization of Ghd7.1, a major quantitative trait locus with pleiotropic effects on spikelets per panicle, plant height, and heading date in rice (Oryza sativa L.)[J]. Journal of integrative plant biology, 2013, 55(10):917-927. doi: 10.1111/jipb.12070 URL
[15]	YAN W H, LIU H Y, ZHOU X C, et al. Natural variation in Ghd7.1 plays an important role in grain yield and adaptation in rice[J]. Cell research, 2013, 23(7):969-971. doi: 10.1038/cr.2013.43 pmid: 23507971
[16]	孙宇琪, 卜庆云, 程云清, 等. 中国东北地区水稻抽穗期性状研究进展[J]. 土壤与作物, 2018, 7(2):177-183.
[17]	王皓然, 李荣田, 马腾旭, 等. 分子标记鉴定结合田间农艺性状选择培育水稻黑C173[J]. 黑龙江大学自然科学学报, 2021, 38(1):67-76,127.
[18]	LI X F, LIU H Z, WANG M Q, et al. Combinations of Hd2 and Hd4 genes determine rice adaptability to Heilongjiang Province, northern limit of China[J]. Journal of integrative plant biology, 2015, 57(8):698-707. doi: 10.1111/jipb.12326 URL
[19]	LIANG G H, CAO X Y, SUI J M, et al. Fine mapping of a semidwarf genesd-g in indica rice (Oryza sativa L.)[J]. Chinese science bulletin, 2004, 49(9):900-904.
[20]	杜杰, 陈小荣, 钟蕾, 等. 种植密度对自动调节力差异型双季稻产量、抗倒伏性及杂草发生的影响[J]. 江西农业大学学报, 2021, 43(5):951-960.
[21]	郭洪刚, 曹雪娇, 曾晓芳, 等. CRISPR/Cas 9基因编辑技术降低贵州禾株高研究[J]. 种子, 2020, 39(7):1-5,11.
[22]	MIAH G, RAFII M Y, ISMAIL MOHD R, et al. Marker-assisted introgression of broad-spectrum blast resistance genes into the cultivated MR219 rice variety[J]. Journal of the science of food and agriculture, 2017, 97(9):2810-2818. doi: 10.1002/jsfa.8109 pmid: 27778337
[23]	ZHOU X C, NONG C X, WU B, et al. Combinations of Ghd7, Ghd8 and Hd1 determine strong heterosis of commercial rice hybrids in diverse ecological regions[J]. Journal of experimental botany, 2021, 72(20):6963-6976. doi: 10.1093/jxb/erab344 pmid: 34283218
[24]	REN M M, HUANG M G, QIU H Y, et al. Genome-wide association study of the genetic basis of effective tiller number in rice[J]. Rice, 2021, 14(1):1-13. doi: 10.1186/s12284-020-00444-x URL
[25]	吴昊, 陈涛, 姚姝, 张亚东, 等. 分子标记辅助选择技术及其在水稻定向改良上的应用研究进展[J]. 江苏农业科学, 2014, 42(2):22-27.
[26]	张习春, 孙建华, 王倩, 等. 抗稻瘟病恢复系黔恢101选育及安优101的应用[J]. 中国稻米, 2021, 27(2):108-110. doi: 10.3969/j.issn.1006-8082.2021.02.025
[27]	吕军, 蒋洪波, 姜秀英, 等. 利用分子标记辅助选择聚合水稻Pi-ta和fgr基因[J/OL]. 分子植物育种:1-8[2022-01-18]. http://kns.cnki.net/kcms/detail/46.1068.S.20201105.1514.010.html.
[28]	曾文秀, 王彤, 胡大明, 等. 利用分子标记辅助选育‘上师大21号’香软水稻新品系及试种[J]. 分子植物育种, 2020, 18(17):5776-5781.
[29]	周文甲, 田晓杰, 任月坤, 等. 利用CRISPR/Cas9创造早熟香味水稻[J]. 土壤与作物, 2017, 6(2):146-152.
[30]	HIRAKAWA Y, SAWA S. Diverse function of plant peptide hormones in local signaling and development[J]. Current opinion in plant biology, 2019, 51:81-87. doi: S1369-5266(18)30165-1 pmid: 31132657
[31]	XU X, ZHANG M C, XU Q, et al. Quantitative trait loci identification and genetic diversity analysis of panicle structure and grain shape in rice[J]. Plant growth regulation, 2020, 90(1):89-100. doi: 10.1007/s10725-019-00549-4 URL
[32]	周岩, 郭嘉, 胡玉锋, 等. 稻香相关基因OsBADH2在“吉粳88”中的基因编辑研究[J]. 生物技术通报, 2020, 36(3):88-94. doi: 10.13560/j.cnki.biotech.bull.1985.2019-0740
[33]	郭桂珍, 张奎林, 杨春刚, 等. 优质高产多抗水稻新品种吉粳511选育及高产栽培技术[J]. 中国稻米, 2014, 20(2):76-77. doi: 10.3969/j.issn.1006-8082.2014.02.023
[34]	ZHANG Q F. Strategies for developing green super rice[J]. Proceedings of the national academy of sciences of the united states of america, 2007, 104(42):16402-16409. doi: 10.1073/pnas.0708013104 pmid: 17923667
[35]	黎珉, 王文生, 徐建龙, 等. 水稻基因组多样性及其在绿色超级稻育种中的应用[J]. 生命科学, 2018, 30(10):1038-1043.