基于55K芯片小麦籽粒相关性状的QTL定位分析

doi:10.7668/hbnxb.20194667

摘要/Abstract

摘要：

为了进一步挖掘小麦籽粒相关性状的主效QTL位点,探索籽粒性状之间的遗传关系,利用籽粒性状差异较大的小麦品种安农859和武农988构建的124份DH群体为研究材料,分别测定2 a 7个环境下的粒长、粒宽及千粒质量表型值,开展籽粒性状多元回归分析,并基于DH群体的55K芯片数据进行籽粒相关性状QTL检测。结果表明,多元回归分析中,粒宽对千粒质量的贡献最大。通过完备区间作图对籽粒性状进行QTL定位,除6D和7B染色体外,其他19条染色体上共检测到69个有关籽粒性状的QTL,包括24个千粒质量QTL、28个粒长QTL、17个粒宽QTL,单个QTL的表型解释率为6.87%~27.74%。其中,7A染色体上粒长相关的Qgl.ahau-7A.1在7个环境及BLUP下均被检测到,表型解释率为9.48%~22.26%,加性效应为0.11~0.21 mm,物理区间4.91 Mb(AX-110430243~AX-110442528),可能为新的主效QTL。因此,Qgl.ahau-7A.1位点可作为后续精细定位和分子标记辅助育种重点关注的区域。

关键词: 小麦, 籽粒性状, 千粒质量, 粒长, 粒宽, QTL

Abstract:

In order to further explore the primary QTL loci for grain-related traits in wheat and explore the genetic relationships among grain traits,124 DH populations constructed from wheat varieties AN859 and WN988 with large differences in grain traits were utilized as research materials,The phenotypic values of grain length,grain width,and thousand grains weight were measured in seven environments over two years,respectively,to carry out the multiple regression analysis of grain traits,and QTL detection of grain-related traits was performed based on the 55K microarray data of the DH populations.The results showed that grain width contributed most to thousand grains weight in the multiple regression analysis.QTL localization for grain traits by complete interval mapping,a total of 69 QTLs related to grain traits were detected on 19 chromosomes except chromosome 6D and 7B,including 24 QTLs for thousand grains weight,28 QTLs for grain length,and 17 QTLs for grain width,with phenotypic interpretations of individual QTLs ranging from 6.87% to 27.74%.Among them,grain length-associated Qgl.ahau-7A.1 on chromosome 7A was detected under seven environments and BLUP,with a phenotypic interpretation rate of 9.48%—22.26%,an additive effect of 0.11—0.21 mm,and a physical interval of 4.91 Mb(AX-110430243—AX-110442528),for the new primary effector QTL.Therefore,the Qgl.ahau-7A.1 locus can be used as a region of focus for subsequent fine localization and molecular marker-assisted breeding.

Key words: Wheat, Grain trait, Thousand grains weight, Grain length, Grain width, QTL

张津津, 赵晓雪, 刘萍, 万家乐, 陈心怡, 陈璨, 司红起, 李亮, 马传喜, 卢杰. 基于55K芯片小麦籽粒相关性状的QTL定位分析[J]. 华北农学报, 2024, 39(3): 8-14. doi: 10.7668/hbnxb.20194667.

ZHANG Jinjin, ZHAO Xiaoxue, LIU Ping, WAN Jiale, CHEN Xinyi, CHEN Can, SI Hongqi, LI Liang, MA Chuanxi, LU Jie. QTL Mapping Analysis of Grain Related Traits of Wheat Based on 55K Chip[J]. Acta Agriculturae Boreali-Sinica, 2024, 39(3): 8-14. doi: 10.7668/hbnxb.20194667.

http://www.hbnxb.net/CN/Y2024/V39/I3/8

图/表 6

参考文献 23

[1]	苗永平. 小麦粒重QTL定位及候选基因挖掘[D]. 兰州: 甘肃农业大学, 2022.
	Miao Y P. Wheat weight QTL mapping and candidate gene mining[D]. Lanzhou: Gansu Agricultural University, 2022.
[2]	陈佳慧, 兰进好, 王晖, 王文文, 田纪春. 小麦籽粒形态及千粒重性状的QTL初步定位[J]. 麦类作物学报, 2011, 31(6):1001-1006.doi:10.7606/j.issn.1009-1041.2011.06.001.
	Chen J H, Lan J H, Wang H, Wang W W, Tian J C. QTL mapping for traits of kernel morphology and grain weight in common wheat[J]. Journal of Triticeae Crops, 2011, 31(6):1001-1006.
[3]	余曼丽, 赵林姝, 郭会君, 古佳玉, 李军辉, 谢永盾, 赵世荣, 刘录祥. 小麦籽粒性状的QTL定位[J]. 麦类作物学报, 2014, 34(8):1029-1035.doi:10.7606/j.issn.1009-1041.2014.08.02.
	Yu M L, Zhao L S, Guo H J, Gu J Y, Li J H, Xie Y D, Zhao S R, Liu L X. QTL mapping for kernel traits in wheat[J]. Journal of Triticeae Crops, 2014, 34(8):1029-1035.
[4]	倪胜利, 何瑞, 刘媛, 张沛沛, 李兴茂, 杨德龙. 不同水分条件下小麦粒重QTL定位及其元分析[J]. 甘肃农业大学学报, 2021, 56(3):45-54.doi:10.13432/j.cnki.jgsau.2021.03.007.
	Ni S L, He R, Liu Y, Zhang P P, Li X M, Yang D L. QTL mapping and meta-analysis for grain weight of wheat under different moisture conditions[J]. Journal of Gansu Agricultural University, 2021, 56(3):45-54.
[5]	李涛. 小麦穗型和粒型形成的遗传基础解析[D]. 雅安: 四川农业大学, 2021.
	Li T. Analysis of genetic basis of ear type and grain type formation in wheat[D]. Yaan: Sichuan Agricultural University, 2021.
[6]	Xu D A, Wen W E, Fu L P, Li F J, Li J H, Xie L, Xia X C, Ni Z F, He Z H, Cao S H. Genetic dissection of a major QTL for kernel weight spanning the Rht-B1 locus in bread wheat[J]. Theoretical and Applied Genetics, 2019, 132(11):3191-3200.doi:10.1007/s00122-019-03418-w. pmid: 31515582
[7]	Ji G S, Xu Z B, Fan X L, Zhou Q, Chen L G, Yu Q, Liao S M, Jiang C, Feng B, Wang T. Identification and validation of major QTL for grain size and weight in bread wheat(Triticum aestivum L.)[J]. The Crop Journal, 2023, 11(2):564-572.doi:10.1016/j.cj.2022.06.014.
[8]	Chen Z Y, Cheng X J, Chai L L, Wang Z H, Bian R L, Li J, Zhao A J, Xin M M, Guo W L, Hu Z R, Peng H R, Yao Y Y, Sun Q X, Ni Z F. Dissection of genetic factors underlying grain size and fine mapping of QTgw.cau-7D in common wheat(Triticum aestivum L.)[J]. Theoretical and Applied Genetics, 2020, 133(1):149-162.doi:10.1007/s00122-019-03447-5.
[9]	Niaz M, Zhang L R, Lü G G, Hu H T, Yang X, Cheng Y Z, Zheng Y T, Zhang B Y, Yan X N, Htun A, Zhao L, Sun C W, Zhang N, Ren Y, Chen F. Identification of TaGL1-B1 gene controlling grain length through regulation of jasmonic acid in common wheat[J]. Plant Biotechnology Journal, 2023, 21(5):979-989.doi:10.1111/pbi.14009.
[10]	王鹏, 田甜, 张沛沛, 刘媛, 陈涛, 王彩香, 程宏波, 杨德龙. 小麦粒形QTL元分析及候选基因预测[J]. 麦类作物学报, 2021, 41(9):1090-1098.doi:10.7606/j.issn.1009-1041.2021.09.05.
	Wang P, Tian T, Zhang P P, Liu Y, Chen T, Wang C X, Cheng H B, Yang D L. Meta-analysis of quantitative trait loci and prediction of candidate genes for kernel morphology in wheat[J]. Journal of Triticeae Crops, 2021, 41(9):1090-1098.
[11]	Kumari S, Jaiswal V, Mishra V K, Paliwal R, Balyan H S, Gupta P K. QTL mapping for some grain traits in bread wheat(Triticum aestivum L.)[J]. Physiology and Molecular Biology of Plants, 2018, 24(5):909-920.doi:10.1007/s12298-018-0552-1.
[12]	Sesiz U, Balyan H S, Özkan H. QTL detection for grain size and shape traits using an improved genetic map in einkorn wheat(Triticum monococcum L.)[J]. Euphytica, 2023, 219(7):80.doi:10.1007/s10681-023-03202-4.
[13]	Su Z Q, Jin S J, Lu Y, Zhang G R, Chao S, Bai G H. Single nucleotide polymorphism tightly linked to a major QTL on chromosome 7A for both kernel length and kernel weight in wheat[J]. Molecular Breeding, 2016, 36(2):15.doi:10.1007/s11032-016-0436-4.
[14]	Song J, Xu D A, Dong Y, Li F J, Bian Y J, Li L L, Luo X M, Fei S P, Li L, Zhao C, Zhang Y, Xia X C, Ni Z F, He Z H, Cao S H. Fine mapping and characterization of a major QTL for grain weight on wheat chromosome arm 5DL[J]. Theoretical and Applied Genetics, 2022, 135(9):3237-3246.doi:10.1007/s00122-022-04182-0.
[15]	刘皓, 王华忠, 王立晖, 吕春晖. 小麦粒型相关性状的QTL定位分析[J]. 农业科技与装备, 2015(5):9-12.doi:10.3969/j.issn.1674-1161.2015.05.005.
	Liu H, Wang H Z, Wang L H, Lü C H. Mapping analysis on QTL of wheat related traits[J]. Agricultural Science & Technology and Equipment, 2015(5):9-12.
[16]	杨聪聪. 小麦粒重QTL侧翼标记开发和粒型同源基因GLW7的结构和表达分析[D]. 雅安: 四川农业大学, 2019.doi:10.27345/d.cnki.gsnyu.2019.000505.
	Yang C C. Development of flanking markers for wheat grain weight QTL and structure and expression analysis of TaGLW7[D]. Yaan: Sichuan Agricultural University, 2019.
[17]	Xin F, Zhu T, Wei S W, Han Y C, Zhao Y, Zhang D Z, Ma L J, Ding Q. QTL mapping of kernel traits and validation of a major QTL for kernel length-width ratio using SNP and bulked segregant analysis in wheat[J]. Scientific Reports, 2020, 10(1):25.doi:10.1038/s41598-019-56979-7. pmid: 31913328
[18]	Cho Y G, Eun M Y, Kim Y K, Chung T Y, Chae Y A. The semidwarf gene, sd-1,of rice(Oryza sativa L.).I.Linkage with the esterase locus,Estl-2[J]. Theoretical and Applied Genetics, 1994, 89(1):49-53.doi:10.1007/BF00226981. pmid: 24177768
[19]	逯腊虎, 杨斌, 张婷, 张伟, 袁凯, 史晓芳, 彭惠茹, 倪中福, 孙其信. 冬小麦旗叶大小及籽粒相关性状的QTL分析[J]. 华北农学报, 2018, 33(5):1-8. doi:10.7668/hbnxb.2018.05.001.
	Lu L H, Yang B, Zhang T, Zhang W, Yuan K, Shi X F, Peng H R, Ni Z F, Sun Q X. Quantitative trait loci analysis of flag leaf size and grain relative traits in winter wheat[J]. Acta Agriculturae Boreali-Sinica, 2018, 33(5):1-8. doi: 10.7668/hbnxb.2018.05.001
[20]	Duan X X, Yu H X, Ma W J, Sun J Q, Zhao Y, Yang R C, Ning T Y, Li Q F, Liu Q Q, Guo T T, Yan M, Tian J C, Chen J S. A major and stable QTL controlling wheat thousand grain weight:identification,characterization,and CAPS marker development[J]. Molecular Breeding, 2020, 40(7):68.doi:10.1007/s11032-020-01147-3.
[21]	Onishi K, Akie T, Cao L Z, Mori M, Hattori M, Hira K, Wano A, Oki W, Miura H. Validation of the QTL for grain length linked to the Rht-B1 locus in two genetic backgrounds of bread wheat(Triticum aestivum L.)[J]. Cereal Research Communications, 2021, 49(4):559-566.doi:10.1007/s42976-021-00148-y.
[22]	Song L, Liu J, Cao B L, Liu B, Zhang X P, Chen Z Y, Dong C Q, Liu X Q, Zhang Z H, Wang W X, Chai L L, Liu J, Zhu J, Cui S B, He F, Peng H R, Hu Z R, Su Z Q, Guo W L, Xin M M, Yao Y Y, Yan Y, Song Y M, Bai G H, Sun Q X, Ni Z F. Reducing brassinosteroid signalling enhances grain yield in semi-dwarf wheat[J]. Nature, 2023, 617(7959):118-124.doi:10.1038/s41586-023-06023-6.
[23]	Liu Y Y, Chen J, Yin C B, Wang Z Y, Wu H, Shen K C, Zhang Z L, Kang L P, Xu S, Bi A Y, Zhao X B, Xu D X, He Z H, Zhang X Y, Hao C Y, Wu J H, Gong Y, Yu X C, Sun Z W, Ye B T, Liu D N, Zhang L L, Shen L P, Hao Y F, Ma Y Z, Lu F, Guo Z F. A high-resolution genotype-phenotype map identifies the TaSPL17 controlling grain number and size in wheat[J]. Genome Biology, 2023, 24(1):196.doi:10.1186/s13059-023-03044-2.

项目 Project	染色体 Chromosome	标记数 Marker number	遗传长度/cM Genetic length	最大间距/cM Max interval	平均间距/cM Average map distance
第一同源群	1A	78	335.86	91.59	4.31
First homology group	1B	51	348.24	35.77	6.83
	1D	57	405.45	58.92	7.11
第二同源群	2A	58	496.02	49.43	8.55
Second homology group	2B	126	593.43	69.68	4.71
	2D	102	774.45	46.62	7.59
第三同源群	3A	147	667.57	56.79	4.54
Third homology group	3B	100	511.90	56.87	5.12
	3D	81	762.34	70.38	9.41
第四同源群	4A	53	316.60	29.43	5.97
Fourth homology group	4B	83	275.36	17.95	3.32
	4D	79	398.41	51.87	5.04
第五同源群	5A	118	703.43	56.34	5.96
Fifth homology group	5B	119	483.09	54.49	4.06
	5D	106	536.13	28.30	5.06
第六同源群	6A	42	262.04	25.85	6.24
Sixth homology group	6B	82	298.97	33.90	3.65
	6D	63	334.41	44.91	5.31
第七同源群	7A	142	665.11	81.35	4.68
Seventh homology group	7B	104	355.99	31.79	3.42
	7D	145	932.52	73.37	6.43
总计Total		1 936	10 457.32	91.59	5.40

项目 Project	染色体 Chromosome	标记数 Marker number	遗传长度/cM Genetic length	最大间距/cM Max interval	平均间距/cM Average map distance
第一同源群	1A	78	335.86	91.59	4.31
First homology group	1B	51	348.24	35.77	6.83
	1D	57	405.45	58.92	7.11
第二同源群	2A	58	496.02	49.43	8.55
Second homology group	2B	126	593.43	69.68	4.71
	2D	102	774.45	46.62	7.59
第三同源群	3A	147	667.57	56.79	4.54
Third homology group	3B	100	511.90	56.87	5.12
	3D	81	762.34	70.38	9.41
第四同源群	4A	53	316.60	29.43	5.97
Fourth homology group	4B	83	275.36	17.95	3.32
	4D	79	398.41	51.87	5.04
第五同源群	5A	118	703.43	56.34	5.96
Fifth homology group	5B	119	483.09	54.49	4.06
	5D	106	536.13	28.30	5.06
第六同源群	6A	42	262.04	25.85	6.24
Sixth homology group	6B	82	298.97	33.90	3.65
	6D	63	334.41	44.91	5.31
第七同源群	7A	142	665.11	81.35	4.68
Seventh homology group	7B	104	355.99	31.79	3.42
	7D	145	932.52	73.37	6.43
总计Total		1 936	10 457.32	91.59	5.40

性状 Trait	环境 Environments	亲本 Parents		DH群体(124份) DH population (124 copies)							遗传力 H²
性状 Trait	环境 Environments	安农 859 AN859	武农988 WN988	最小值 Min	最大值 Max	均值 Mean	标准差 s	偏度 Skew.	峰度 Kurtosis	变异系数/% CV	遗传力 H²
千粒质量/g	E1	34.01	44.25	31.18	61.17	45.58	5.78	-0.18	0.08	12.67	0.87
Thousand	E2	42.50	59.72	32.96	68.76	49.57	6.55	0.18	0.07	13.22
grains	E3	45.11	61.26	40.89	67.96	52.62	5.87	0.27	-0.55	11.15
weight	E4	37.94	42.47	30.83	57.42	42.46	4.89	-0.02	0.17	11.49
	E5	47.96	59.44	38.74	67.64	50.35	5.53	0.33	-0.17	10.98
	E6	47.99	54.34	36.93	62.19	49.72	5.07	-0.21	-0.22	10.19
	E7	45.86	51.96	35.92	59.79	48.90	5.19	-0.14	-0.46	10.62
	BLUP	43.52	52.92	39.23	59.51	48.47	4.13	0.12	-0.43	8.52
粒长/mm	E1	5.90	7.01	5.60	7.42	6.51	0.37	0.04	-0.11	5.64	0.91
Grain	E2	5.96	7.46	5.82	7.58	6.64	0.34	0.02	0.08	5.18
length	E3	6.37	7.31	5.69	7.72	6.72	0.37	-0.13	0.27	5.47
	E4	6.24	7.06	3.39	7.70	6.78	0.31	0.02	0.13	4.55
	E5	6.47	7.81	5.98	7.68	6.97	0.32	-0.19	0.00	4.59
	E6	6.76	7.81	6.09	7.90	7.12	0.34	-0.22	0.12	4.83
	E7	6.79	7.78	6.05	7.84	7.16	0.36	-0.28	0.12	4.69
	BLUP	6.38	7.43	5.96	7.58	6.84	0.30	-0.22	0.20	4.43
粒宽/mm	E1	2.94	3.19	2.88	3.74	3.24	0.18	0.18	0.28	5.48	0.87
Grain	E2	3.21	3.45	2.63	3.93	3.33	0.19	-0.30	1.02	5.78
width	E3	3.29	3.51	3.02	4.87	3.43	0.21	2.52	15.58	6.25
	E4	3.22	3.24	2.86	3.92	3.27	0.15	0.27	1.81	4.73
	E5	3.42	3.61	3.12	3.89	3.48	0.17	0.23	-0.28	4.75
	E6	3.39	3.46	3.01	4.27	3.43	0.16	0.72	4.81	4.79
	E7	3.41	3.44	3.03	4.08	3.42	0.16	0.14	1.76	4.62
	BLUP	3.28	3.41	3.07	3.92	3.37	0.13	0.54	2.07	3.75

性状 Trait	环境 Environments	亲本 Parents		DH群体(124份) DH population (124 copies)							遗传力 H²
性状 Trait	环境 Environments	安农 859 AN859	武农988 WN988	最小值 Min	最大值 Max	均值 Mean	标准差 s	偏度 Skew.	峰度 Kurtosis	变异系数/% CV	遗传力 H²
千粒质量/g	E1	34.01	44.25	31.18	61.17	45.58	5.78	-0.18	0.08	12.67	0.87
Thousand	E2	42.50	59.72	32.96	68.76	49.57	6.55	0.18	0.07	13.22
grains	E3	45.11	61.26	40.89	67.96	52.62	5.87	0.27	-0.55	11.15
weight	E4	37.94	42.47	30.83	57.42	42.46	4.89	-0.02	0.17	11.49
	E5	47.96	59.44	38.74	67.64	50.35	5.53	0.33	-0.17	10.98
	E6	47.99	54.34	36.93	62.19	49.72	5.07	-0.21	-0.22	10.19
	E7	45.86	51.96	35.92	59.79	48.90	5.19	-0.14	-0.46	10.62
	BLUP	43.52	52.92	39.23	59.51	48.47	4.13	0.12	-0.43	8.52
粒长/mm	E1	5.90	7.01	5.60	7.42	6.51	0.37	0.04	-0.11	5.64	0.91
Grain	E2	5.96	7.46	5.82	7.58	6.64	0.34	0.02	0.08	5.18
length	E3	6.37	7.31	5.69	7.72	6.72	0.37	-0.13	0.27	5.47
	E4	6.24	7.06	3.39	7.70	6.78	0.31	0.02	0.13	4.55
	E5	6.47	7.81	5.98	7.68	6.97	0.32	-0.19	0.00	4.59
	E6	6.76	7.81	6.09	7.90	7.12	0.34	-0.22	0.12	4.83
	E7	6.79	7.78	6.05	7.84	7.16	0.36	-0.28	0.12	4.69
	BLUP	6.38	7.43	5.96	7.58	6.84	0.30	-0.22	0.20	4.43
粒宽/mm	E1	2.94	3.19	2.88	3.74	3.24	0.18	0.18	0.28	5.48	0.87
Grain	E2	3.21	3.45	2.63	3.93	3.33	0.19	-0.30	1.02	5.78
width	E3	3.29	3.51	3.02	4.87	3.43	0.21	2.52	15.58	6.25
	E4	3.22	3.24	2.86	3.92	3.27	0.15	0.27	1.81	4.73
	E5	3.42	3.61	3.12	3.89	3.48	0.17	0.23	-0.28	4.75
	E6	3.39	3.46	3.01	4.27	3.43	0.16	0.72	4.81	4.79
	E7	3.41	3.44	3.03	4.08	3.42	0.16	0.14	1.76	4.62
	BLUP	3.28	3.41	3.07	3.92	3.37	0.13	0.54	2.07	3.75

性状 Traits	系数 Coefficient	标准误 Standard error	方差膨胀系数 VIF	拟合优度 R²
常量 Constant	-70.982	4.080		0.880
粒长 Grain length	4.900	0.445	1.069
粒宽 Grain width	25.508	1.067	1.069

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