玉米叶宽的QTL定位及全基因组选择分析

doi:10.6048/j.issn.1001-4330.2023.07.006

新疆农业科学 ›› 2023, Vol. 60 ›› Issue (7): 1606-1613.DOI: 10.6048/j.issn.1001-4330.2023.07.006

• 作物遗传育种·种质资源·分子遗传学·土壤肥料 • 上一篇下一篇

玉米叶宽的QTL定位及全基因组选择分析

陈占辉¹(), 孙强¹, 任姣姣¹(), 黄博文¹, 许加波¹, 杨杰², 吴鹏昊¹()

1.新疆农业大学农学院,乌鲁木齐 830052
2.新疆农业科学院粮食作物研究所,乌鲁木齐 830052

收稿日期:2022-10-30 出版日期:2023-07-20 发布日期:2023-07-11
通信作者: 吴鹏昊(1984-),男,新疆呼图壁人,教授,博士,博士生导师,研究方向为玉米遗传育种,(E-mail)craie788@126.com；
任姣姣(1988-),女,河北蠡县人,副教授,博士,硕士生导师,研究方向为玉米遗传育,(E-mail)renjiaojiao789@sina.com
作者简介:陈占辉(1998-),男,青海海东人,硕士研究生,研究方向为玉米遗传育种,(E-mail)1291607673@qq.com
基金资助:
国家自然科学基金项目“玉米生物诱导单倍体母本被诱导关键性状的遗传解析和全基因组选择”(U2003304);国家自然科学基金“玉米田间耐旱性遗传解析及全基因组预测研究”(32001561);国家自然科学基金“玉米单倍体雌穗自然加倍遗传解析及全基因组预测研究”(32060484);自治区天山创新团队“玉米生物育种及配套技术创新团队”(2022D14017);自治区自然科学基金重点基金“基于机器学习多组学技术对玉米大田耐旱的分子基础遗传解析与功能基因挖掘”(2022D01D34);自治区重点研发项目“玉米绿色丰产提质增效技术优化集成及应用-伊犁河谷区玉米绿色高效种植技术研究与示范”(2021B02002-2-2)

QTL mapping and genomic selection of maize leaf width

CHEN Zhanhui¹(), SUN Qiang¹, REN Jiaojiao¹(), HUANG Bowen¹, XU Jiabo¹, YANG Jie², WU Penghao¹()

1. College of Agronomy, Xinjiang Agricultural University, Urumqi 830052,China
2. Institute of Food Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091,China

Received:2022-10-30 Online:2023-07-20 Published:2023-07-11
Correspondence author: WU Penghao(1984-),male,Hutubi, Xinjiang,professor,doctoral supervisor,mainly engaged in maize genetics and breeding,(E-mail)craie788@126.com；
REN Jiaojiao(1988-),female, from Lixian County, Hebei Province, Associate professor,Master guide, doctor, Mainly engaged in Maize Genetics and breeding, (E-mail)renjiaojiao789@sina.com
Supported by:
National Natural Science Foundation of"Genetic analysis and genome-wide selection of key traits induced by biologically induced haploid female parents in maize"(U2003304);"genetic analysis and genome-wide prediction of drought tolerance in maize field"(32001561);"NATURAL doubling genetic analysis and genome-wide prediction of haploid femaleears in maize"(32060484);Tianshan Innovation Team "Corn Biological Breeding and Supporting Technology Innovation Team"(2022D14017);Key Foundation of Autonomous Region "Molecular Genetic Analysis and Functional Gene Mining of Drought resistance in Corn Field based on Machine Learning Multi-omics Technology"(2022D01D34);Key R & D project of the autonomous region "optimization, integration and application of corn green high yield, quality and efficiency improvement technology - research and demonstration of corn green and efficient planting technology in Yili River Valley"(2021b02002-2-2)

摘要/Abstract

摘要：

【目的】分析控制玉米叶宽的关键QTL位点,为选育具有理想株型的玉米奠定基础。【方法】以玉米自交系B73和郑58为亲本构建F_2∶3家系,采用液相48k探针捕获技术检测基因型,对多环境下玉米叶宽表型进行QTL定位和全基因组选择。【结果】叶宽在基因型、环境、基因型与环境的互作变异项都具有显著差异,遗传力为0.39。共检测到12个穗位叶宽相关QTL位点,分别位于第1、3、4、5、8和10号染色体,表型贡献率为3.75%~16.17%。位于bin 1.06和bin 5.01的2个QTL在多环境下被检测到,具有环境稳定性,其中位于bin 5.01的QTL为主效位点,可用于精细定位研究。当SNP标记个数为300、训练群体占总群体50%时即可得到较好的预测精度。【结论】玉米叶宽是由主效多基因控制的,全基因组选择可以加速玉米叶宽性状的选育效率。

关键词: 玉米; 叶宽; 数量性状位点

Abstract:

【Objective】 To carry out ggenetic analysis of the leaf width of maize and detection of major QTL controlling leaf in the hope of providing an important theoretical basis for breeding maize with ideal plant type.【Methods】 In this experiment, the F_2∶3 family was constructed from the maize inbred lines B73 and Zheng 58 which were genotyped by liquid phase 48k probe capture technology and phenotyped in multi-environment trails for QTL mapping and genomic selection.【Results】 The results showed that the leaf width displayed significant differences in genotype, environment, and genotype and environment interaction.The broad-sense heritability was 0.39.A total of 12 QTL distributed on chromosomes 1, 3, 4, 5, 8 and 10 were identified for leaf width.The phenotypic variation explained of each QTL ranged from 3.75% to 16.17%.Two loci, located on bin1.06 and bin5.01, were stable QTL detected in multiple environments.The QTL located on bin 5.01 was a major QTL, which could be used for fine mapping.When the number of SNPs reached 300 and the training population size reached 50%.【Conclusion】 Leaf width is controlled by major polygenes, and genome selection can accelerate the efficiency of leaf wide traits.

Key words: maize; leaf width; QTL

中图分类号:

S513

陈占辉, 孙强, 任姣姣, 黄博文, 许加波, 杨杰, 吴鹏昊. 玉米叶宽的QTL定位及全基因组选择分析[J]. 新疆农业科学, 2023, 60(7): 1606-1613.

CHEN Zhanhui, SUN Qiang, REN Jiaojiao, HUANG Bowen, XU Jiabo, YANG Jie, WU Penghao. QTL mapping and genomic selection of maize leaf width[J]. Xinjiang Agricultural Sciences, 2023, 60(7): 1606-1613.

图/表 6

参考文献 21

[1]	柏延文. 种植密度对不同株型玉米生理特性及产量的影响[D]. 杨凌: 西北农林科技大学, 2020.
	BAI Yanwen. Effect of planting density on physiological characteristics and yield of maize with different plant types[D]. Yangling: Northwest Agriculture and Forestry University, 2020.
[2]	赵小强. 玉米株型相关耐旱遗传机理研究[D]. 兰州: 甘肃农业大学, 2018.
	ZHAO Xiaoqiang. Research on genetic mechanism of drought tolerance associatedwith maize plant type[D]. Lanzhou: Gansu Agricultural University, 2018.
[3]	KU L X, Zhang J, Guo S L, et al. Integrated multiple population analysis of leaf architecture traits in maize (Zea mays L.)[J]. Journal of experimental botany, 2012, 63(1):261-274. DOI URL
[4]	唐登国. 玉米叶宽和叶长性状的QTL定位与分析[D]. 成都: 四川农业大学, 2013.
	TANG Dengguo. QTL localization and analysis of leaf width and leaf length traits in maize[D]. Chengdu: Sichuan Agricultural University, 2013.
[5]	张莹莹, 杨青, 代资举, 等. 玉米穗三叶叶宽QTL定位及Meta分析[J]. 河南农业科学, 2019, 48(12):15-22.
	ZHANG Yingying, YANG Qing, DAI Ziju, et al. QTL localization and Meta-analysis[J]. Henan Agricultural Science, 2019, 48(12):15-22.
[6]	张旷野. 玉米叶宽相关基因ZmLW1的精细定位和候选基因发掘[D]. 沈阳: 沈阳农业大学, 2020.
	ZHANG Kuangye. Fine localization and candidate gene discovery of ZmLW1, a leaf width-related gene in maize[D]. Shenyang: Shenyang Agricultural University, 2020.
[7]	王会涛, 柳华峰, 郑耀刚, 等. 玉米叶型相关性状QTL定位及上位性效应分析[J]. 分子植物育种, 2018, 16(15):4955-4963.
	WANG Huitao, LIU Huafeng, ZHENG Yaogang, et al. QTL localization and epistatic effects analysis of Leaf-type-related traits in maize[J]. Molecular Plant Breeding, 2018, 16(15):4955-4963.
[8]	尹立林, 马云龙, 项韬, 等. 全基因组选择模型研究进展及展望[J]. 畜牧兽医学报, 2019, 50(2):233-242.
	YIN Lilin, MA Yunlong, XIANG Tao, et al. Progress and outlook of genome-wide selection model[J]. Journal of Livestock and Veterinary Medicine, 2019, 50 (2):233-242.
[9]	Bernardo R. Molecular Markers and Selection for Complex Traits in Plants:Learning from the Last 20 Years[J]. Crop Science, 2015, 48(5).
[10]	Zhao Y, Mette M F, Reif J C, et al. Genomic selection in hybrid breeding[J]. Plant Breeding, 2015, 134(1):1-10. DOI URL
[11]	钟源, 赵小强, 李文丽. 不同水分环境下玉米叶形相关性状与SSR标记的关联分析[J]. 中国生态农业学报(中英文), 2020, 28(11):1726-1738
	ZHONG Yuan, ZHAO Xiaoqiang, LI Wenli. Association analysis of maize leaf shape-related traits and SSR markers in different moisture environments[J]. Chinese Journal of Ecological Agriculture, 2020, 28(11):1726-1738.
[12]	赵小强, 姬祥卓, 彭云玲. 花期玉米(Zea mays)穗三叶叶形结构的遗传效应及配合力分析[J]. 分子植物育种, 2020, 18(9):3024-3031.
	ZHAO Xiaoqiang, JI Xiangzhuo, PENG Yunling. Genetic effect and coordination force analysis of the leaf shape structure of flowering maize (Zea mays)[J]. Molecular Plant Breeding, 2020, 18(9):3024-3031.
[13]	Wang J K, H H, et al. Version 4.1 of QTL Ici Mapping:Integrated software for genetic linkage map construction and QTL mapping in bi-parental populations[C] Beijing: The Seventh International Crop Science Conference, 2016.
[14]	李宗泽. 玉米单倍体被诱导率及其相关穗部性状的遗传分析[D]. 乌鲁木齐: 新疆农业大学, 2021.
	LI Zongze. Genetic analysis of maize haploid induction rate and its associated panicle traits[D]. Urumqi: Xinjiang Agricultural University, 2021.
[15]	孙强. 玉米关键植株性状QTL定位和全基因组选择[D]. 乌鲁木齐: 新疆农业大学, 2021.
	SUN Qiang. QTL localization and genome-wide selection of key plant traits in maize[D]. Urumqi: Xinjiang Agricultural University, 2021.
[16]	MD Edwards, Stuber C W, Wendel J F. Molecular-marker-facilitated investigations of quantitative-trait loci in maize.I.Numbers, genomic distribution and types of gene action[J]. Genetics, 1987, 116(1):113-125. DOI PMID
[17]	赵文明. 玉米株型相关性状QTL定位与分析[D]. 郑州: 河南农业大学, 2008.
	ZHAO Wenming. Localization and analysis of QTL for maize plant type-related traits[D]. Zhengzhou: Henan Agricultural University, 2008.
[18]	Wei X, Wang X, Guo S, et al. Epistatic and QTL×environment interaction effects on leaf area-associated traits in maize[J]. Plant Breeding, 2016, 135(6):671-676. DOI URL
[19]	郑祖平, 黄玉碧, 田孟良, 等. 不同供氮水平下玉米株型相关性状的QTLs定位和上位性效应分析[J]. 玉米科学, 2007(2):14-18.
	ZHENG Zuping, HUANG Yubi, TIAN Mengliang, et al. Localization of QTLs and epistatic effect analysis of type-related traits in maize at different nitrogen supply levels[J]. Maize Science, 2007 (2):14-18.
[20]	Cao S, Loladze A, Yuan Y, et al. Genome-Wide Analysis of Tar Spot Complex Resistance in Maize Using Genotyping-by-Sequencing SNPs and Whole-Genome Prediction[J]. Plant Genome, 2017, 10(2).
[21]	Zhang X, Ren J, Li Z, et al. Genetic Dissection of Resistance to Common Rust (Puccinia Sorghi) in Tropical Maize (Zea mays L.) by Combined Genetic Mapping and Genomic Prediction[J]. Frontiers in Plant Science, 2021,(12):1664-1675.

亲本Parents		环境 Environ- ment	均值 Mean	最小值 Max.	最大值 Min.	标准差 S.D.	变幅 A.O.F	变异系数 CV.	峰度 Kurtosis	偏度 Skewness
郑58	B73	环境 Environ- ment	均值 Mean	最小值 Max.	最大值 Min.	标准差 S.D.	变幅 A.O.F	变异系数 CV.	峰度 Kurtosis	偏度 Skewness
8.02	9.04	海南	8.68	8.55	8.82	0.06	0.27	0.01	0.21	-0.44
		九圣禾	8.04	7.23	8.99	0.31	1.76	0.04	0.09	-0.22
		三坪	7.24	6.96	7.63	0.13	0.67	0.02	0.07	-0.02
		联合	8.00	7.78	8.19	0.07	0.41	0.01	-0.17	-0.11

亲本Parents		环境 Environ- ment	均值 Mean	最小值 Max.	最大值 Min.	标准差 S.D.	变幅 A.O.F	变异系数 CV.	峰度 Kurtosis	偏度 Skewness
郑58	B73	环境 Environ- ment	均值 Mean	最小值 Max.	最大值 Min.	标准差 S.D.	变幅 A.O.F	变异系数 CV.	峰度 Kurtosis	偏度 Skewness
8.02	9.04	海南	8.68	8.55	8.82	0.06	0.27	0.01	0.21	-0.44
		九圣禾	8.04	7.23	8.99	0.31	1.76	0.04	0.09	-0.22
		三坪	7.24	6.96	7.63	0.13	0.67	0.02	0.07	-0.02
		联合	8.00	7.78	8.19	0.07	0.41	0.01	-0.17	-0.11

变异来源 Source	自由度 Degree of freedom	平方和 Sum of square	均方 Mean of square	F	P	遗传力 H²
环境Environment	2	420.49	210.24	726.28	<0.01^**	0.39
基因型Genotype	199	109.78	0.55	1.91	<0.01^**
基因型环境互作GXE	398	166.11	0.42	1.44	<0.01^**
误差Error	597	172.82	0.29
总变异Variation	1 196	869.20

变异来源 Source	自由度 Degree of freedom	平方和 Sum of square	均方 Mean of square	F	P	遗传力 H²
环境Environment	2	420.49	210.24	726.28	<0.01^**	0.39
基因型Genotype	199	109.78	0.55	1.91	<0.01^**
基因型环境互作GXE	398	166.11	0.42	1.44	<0.01^**
误差Error	597	172.82	0.29
总变异Variation	1 196	869.20

QTL	环境 Environ ment	染色体 /Bin Chromo- some /Bin	遗传位置 Genetic position (cM)	物理距离 /Mb^a Physical position /Mb^a	左翼标记 Left marker	右翼标记 Right marker	LOD值	表型贡献率 PVE (%)	加性效应 Add	显性效应 Dom	基因效应^b Gene action
qew1-1	海南	1/1.06	74	196.18~197.14	RM1_149	RM1_150	2.73	5.04	0.1	-0.06	PD
qew3-1	海南	3/3.07	52	198.91~198.92	RM3_117	RM3_118	2.93	5.51	-0.1	-0.01	A
qew5-1	海南	5/5.01	17	8.86~8.90	RM5_27	RM5_26	8.06	16.17	0.2	0.01	A
qew8-1	海南	8/8.02	13	13.54~13.64	RM8_22	RM8_23	2.52	4.41	0.06	0.09	OD
qew1-2	三坪	1/1.07	84	212.21~212.36	RM1_173	RM1_174	2.57	5.88	0.05	-0.01	A
qew4-1	三坪	4/4.08	60	188.92~189.03	RM4_135	RM4_136	4.66	10.63	0.05	0.05	D
qew8-2	九圣禾	8/8.05	31	138.67~138.78	RM8_63	RM8_64	2.65	6.28	0.01	0.02	OD
qew1-3	联合	1/1.06	74	196.18~197.14	RM1_149	RM1_150	4.02	5.47	0.05	-0.01	A
qew3-2	联合	3/3.04	28	36.82~50.97	RM3_50	RM3_51	3.93	5.21	-0.05	-0.01	A
qew4-2	联合	4/4.09	69	223.31~224.37	RM4_155	RM4_156	6.03	8.19	0.06	0.02	PD
qew5-2	联合	5/5.01	17	8.86~8.90	RM5_27	RM5_26	9.08	13.18	0.08	0.01	A
qew10-1	联合	10/10.07	56	146.71~146.77	RM10_102	RM10_103	2.78	3.75	0.04	0.0001	A

玉米叶宽的QTL定位及全基因组选择分析

QTL mapping and genomic selection of maize leaf width

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 21

相关文章 15

编辑推荐

Metrics

[1]	王挺, 张力, 张凡凡, 黄嵘峥, 李肖, 张玉琳, 陈永成, 赵建涛, 马春晖. 适合青贮的玉米品种生产性能筛选及营养价值评价[J]. 新疆农业科学, 2023, 60(7): 1596-1605.
[2]	蓝陈仪航, 姚禹博, 周俊祥, 付开赟, 丁新华, 尹晓辉, 刘文, 王娜, 郭文超, 邓建宇. 亚洲玉米螟性信息素鉴定及其应用研究进展[J]. 新疆农业科学, 2023, 60(7): 1614-1622.
[3]	邵盘霞, 赵准, 邵武奎, 郝晓燕, 高升旗, 李建平, 胡文冉, 黄全生. 玉米ZmCDPK22基因在干旱胁迫下的表达分析[J]. 新疆农业科学, 2023, 60(6): 1372-1378.
[4]	陆晏天, 桑志勤, 徐灿, 张力, 夏春兰, 王友德, 李伟, 陈树宾. 历年新疆和宁夏审定玉米品种主要性状的演化及品种审定现状分析[J]. 新疆农业科学, 2023, 60(6): 1379-1388.
[5]	杨明花, 刘强, 廖必勇, 彭云承, 布阿依夏木·那曼提, 达吾来·杰克山. 不完全双列杂交玉米组合抗倒伏综合评价[J]. 新疆农业科学, 2023, 60(4): 832-840.
[6]	周广威, 韩登旭, 朱琦, 张少民. 耐低磷新疆春玉米基因型筛选及其磷效率[J]. 新疆农业科学, 2023, 60(4): 847-856.
[7]	陈果, 郝晓燕, 高升旗, 胡文冉, 赵准, 黄全生. 玉米钙依赖蛋白激酶全基因组鉴定及抗旱表达分析[J]. 新疆农业科学, 2023, 60(4): 857-864.
[8]	董秀丽, 韩登旭, 杨杰, 阿布来提·阿布拉, 戴爱梅, 李俊杰, 王业建, 刘俊, 郗浩江, 梁晓玲, 李铭东. 密植条件下玉米主要农艺性状的综合性分析[J]. 新疆农业科学, 2023, 60(4): 865-871.
[9]	侯良忠, 郭同军, 张俊瑜, 苏玲玲, 古再丽努尔·艾麦提, 温小燕, 朱晓芳, 杨建中, 王文奇. 不同比例籽用西葫芦皮瓤与玉米秸秆混贮效果评价[J]. 新疆农业科学, 2023, 60(3): 567-573.
[10]	段燕燕, 胡静, 祁炳琴, 潘志远, 吴昊楠, 勾玲. 正反交对玉米杂交种茎秆抗倒伏性能及种植密度的响应[J]. 新疆农业科学, 2023, 60(12): 2949-2961.
[11]	张伟, 靳范, 李谦绪, 张俊三, 翟修萍, 王善博. 玉米籽粒联合收获机清选装置优化设计与试验[J]. 新疆农业科学, 2023, 60(12): 3102-3112.
[12]	唐怀君, 谢小清, 张磊, 孙宝成, 杨杰, 刘成. 283份玉米田间抗旱性鉴定与筛选[J]. 新疆农业科学, 2023, 60(11): 2687-2693.
[13]	谢小清, 唐怀君, 张磊, 孙宝成, 刘成. 玉米果穗性状及其抗旱性随灌水量的变化规律[J]. 新疆农业科学, 2023, 60(10): 2412-2418.
[14]	魏勇, 高雨, 杨敏, 许子豪, 任万平. 饲喂蒸汽压片玉米对新疆褐牛产肉性能及肝脏营养物质代谢的影响[J]. 新疆农业科学, 2023, 60(10): 2583-2589.
[15]	王挺, 张凡凡, 黄华, 杨光维, 陈卫国, 张力, 马春晖. 基于模糊相似优先比法评价规模化牧场全株玉米青贮饲料品质[J]. 新疆农业科学, 2023, 60(1): 215-225.