谷子籽粒类黄酮含量和粒色的QTL定位

doi:10.3724/SP.J.1006.2024.34186

作物学报 ›› 2024, Vol. 50 ›› Issue (7): 1719-1727.doi: 10.3724/SP.J.1006.2024.34186

• 作物遗传育种·种质资源·分子遗传学 • 上一篇下一篇

谷子籽粒类黄酮含量和粒色的QTL定位

秦娜¹(), 叶珍言², 朱灿灿¹, 付森杰¹, 代书桃¹, 宋迎辉¹, 景雅¹, 王春义¹, 李君霞¹^,^*()

¹河南省农业科学院粮食作物研究所, 河南郑州 450002
²郑州大学农学院, 河南郑州 450001

收稿日期:2023-11-09 接受日期:2024-01-30 出版日期:2024-07-12 网络出版日期:2024-02-20
通讯作者: *李君霞, E-mail: lijunxia@126.com
作者简介:E-mail: qinna2004@126.com
基金资助:
河南省科研计划联合基金项目(232301420105);财政部和农业农村部国家现代农业产业技术体系建设专项(CARS-06);河南省重点研发专项(231111110300);河南省农业良种攻关项目(2022010401);河南省中央引导地方科技发展资金项目(Z20221341070)

QTL mapping for flavonoid content and seed color in foxtail millet

QIN Na¹(), YE Zhen-Yan², ZHU Can-Can¹, FU Sen-Jie¹, DAI Shu-Tao¹, SONG Ying-Hui¹, JING Ya¹, WANG Chun-Yi¹, LI Jun-Xia¹^,^*()

¹Cereal Crops Institute, Henan Academy of Agricultural Sciences, Zhengzhou 450002, Henan, China
²Agriculture College, Zhengzhou University, Zhengzhou 450001, Henan, China

Received:2023-11-09 Accepted:2024-01-30 Published:2024-07-12 Published online:2024-02-20
Contact: *E-mail: lijunxia@126.com
Supported by:
Scientific Research Plan Joint Fund of Henan Province(232301420105);China Agricultural Research System of the MOF and MARA(CARS-06);Key Research and Development Projects of Henan Province(231111110300);Joint Research on Agriculture Varieties of Henan Province(2022010401);Central Guidance on Science and Technology Development Project of Henan Province(Z20221341070)

摘要/Abstract

摘要：

谷子(Setaria italica L.)是我国北方地区重要的粮食作物, 籽粒营养丰富, 且富含多种类黄酮物质, 对生长发育和品质形成发挥着重要作用。目前谷子籽粒类黄酮合成及粒色形成相关调控机制研究较少。分析谷子类黄酮含量及粒色性状相关的QTL, 为类黄酮合成关键基因的精细定位、克隆及功能研究奠定基础, 同时, 也为揭示谷子类黄酮合成及代谢机制和培育富含类黄酮谷子品种提供技术支撑。本研究以红粒色高类黄酮品种金苗红酒谷和黄粒色低类黄酮品种豫谷28为亲本构建的包含150个家系的重组自交系(RIL)群体为试验材料, 在谷子成熟期对籽粒粒色和类黄酮含量相关性状进行分析。同时, 采用复合区间作图法(composite interval mapping, CIM)对粒色和类黄酮含量进行QTL定位与分析, 并对QTL置信区间内的候选基因进行预测。相关性分析表明, 类黄酮含量与粒色呈显著正相关。共定位到4个与类黄酮含量相关和11个与粒色相关的QTL, 分别位于1号、2号、5号、6号、7号、8号和9号染色体上, 单个QTL的表型贡献率为2.01%~29.25%, 6个为主效QTL, 其中, qSC1-2和qFLA1-1、qSC7-1和qFLA7-1、qSC9-3和qFLA9-1为2个性状下共同定位到的QTL。通过基因预测与功能注释, 筛选出QTL置信区间内5个与类黄酮物质合成及代谢相关的候选基因, 表明类黄酮物质的合成、代谢及利用相关基因极有可能控制了这些基因的表达。15个QTL分别聚集于7条染色体上, 基于基因功能注释, 共筛选了5个与谷子类黄酮合成及代谢相关的候选基因, 表明不同QTL位点参与到了共同遗传机制, 并可通过分子标记辅助选择进行类黄酮合成及代谢等有利基因的聚合育种。

关键词: 谷子, 类黄酮含量, 粒色, QTL定位, 候选基因

Abstract:

Foxtail millet (Setaria italica L.) is an important grain crop in northern China. The grain is rich in nutrients and many kinds of flavonoid, which plays an important role in growth and quality formation. At present, there are few studies on the regulatory mechanisms of flavonoid synthesis and seed color formation in foxtail millet. The quantitative trait loci (QTL) analysis of flavonoid content and seed color traits in foxtail millet laid a foundation for fine mapping, cloning, and functional study of key genes for flavonoid synthesis, and it also provided technical support for revealing the mechanism of flavonoid synthesis and metabolism in foxtail millet and cultivating millet varieties rich in flavonoid. In this study, a recombinant inbred line (RIL) population consisting of 150 families was used as the experimental materials, which was constructed using a red seed-color high-flavonoid variety Jinmiaohongjiugu and a yellow seed-color low-flavonoid variety Yugu 28 as the parents. The related traits of seed color and flavonoid content were analyzed at maturity stage in foxtail millet. At the same time, composite interval mapping (CIM) was used to locate and analyze QTL for seed color and flavonoid content, and the candidate genes within the QTL confidence intervals were predicted. Correlation analysis showed that flavonoid content was significantly positively correlated with seed color. A total four and eleven QTL associated with flavonoids content and seed color were located on chromosomes 1, 2, 5, 6, 7, 8, and 9, respectively, and individual QTL phenotypic contribution rate was 2.01%-29.25%, six major QTLs were identified, qSC1-2 and qFLA1-1, qSC7-1 and qFLA7-1, qSC9-3, and qFLA9-1 were co-localized QTL under both two traits. Through gene prediction and functional annotation, five candidate genes related to flavonoid synthesis and metabolism in the confidence interval of QTL were screened, indicating that the genes related to flavonoid synthesis, metabolism, and utilization were most probably to regulate the expression of these genes. 15 QTL were clustered on seven chromosomes, respectively, and five candidate genes related to flavonoid synthesis and metabolism were screened based on gene functional annotation, indicating that different QTL loci were involved in the common genetic mechanism, and the pyramiding breeding of beneficial genes such as flavonoid synthesis and metabolism could be carried out through molecular marker-assisted selection.

Key words: foxtail millet, flavonoid content, seed colour, QTL mapping, candidate genes

秦娜, 叶珍言, 朱灿灿, 付森杰, 代书桃, 宋迎辉, 景雅, 王春义, 李君霞. 谷子籽粒类黄酮含量和粒色的QTL定位[J]. 作物学报, 2024, 50(7): 1719-1727.

QIN Na, YE Zhen-Yan, ZHU Can-Can, FU Sen-Jie, DAI Shu-Tao, SONG Ying-Hui, JING Ya, WANG Chun-Yi, LI Jun-Xia. QTL mapping for flavonoid content and seed color in foxtail millet[J]. Acta Agronomica Sinica, 2024, 50(7): 1719-1727.

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性状 Trait	年份 Year	亲本 Parents		RILs群体 RILs populations
性状 Trait	年份 Year	金苗红酒谷 Jinmiaohongjiugu	豫谷28 Yugu 28	范围 Range	平均值 Mean	标准差 SD
类黄酮	2021	10.39	5.38	4.07-11.37	6.92	0.60
Flavonoid (mg g^-1)	2022	10.28	5.46	4.12-10.48	6.78	0.62
粒色	2021	红粒 Red seed	黄粒 Yellow seed	0-2	0.80	0.11
Seed color	2022	红粒 Red seed	黄粒 Yellow seed	0-2	0.78	0.13

	类黄酮 Flavonoid		粒色 Seed color
	2021	2022	2021	2022
类黄酮Flavonoid
2021	1
2022	0.969^**	1
粒色 Seed color
2021	0.756^**	0.866^**	1
2022	0.832^**	0.841^**	0.987^**	1

QTL	染色体 Chr.	环境 Environment	标记区间 Markers interval	遗传位置 Genetic position (cM)	LOD值 LOD value	表型贡献率 Phenotypic variance efficiency (%)	加性效应 Additive effect
qSC1-1	1	BLUP (2021, 2022)	SICAAS1049-SICAAS1006	30.39-50.57	10.70	7.87	0.27
qSC1-2	1	BLUP (2021, 2022)	SICAAS1052-SICAAS1068	134.52-175.47	31.59	29.25	-0.78
qSC1-3	1	BLUP	SICAAS1068-SICAAS1008	175.47-192.79	6.04	9.08	0.43
qSC2-1	2	BLUP (2022)	SICAAS2035-SICAAS2038	0-35.40	6.45	5.93	0.34
qSC5-1	5	BLUP (2021, 2022)	SICAAS5034-SICAAS5035	40.16-59.87	2.89	2.01	-0.11
qSC6-1	6	BLUP (2022)	SICAAS6081-SICAAS6002	27.38-41.67	5.23	11.48	0.40
qSC7-1	7	BLUP	SICAAS7019-SICAAS7073	49.53-61.76	3.01	10.67	0.32
qSC8-1	8	BLUP	SICAAS8001-SICAAS8019	5.39-45.95	2.78	3.51	0.06
qSC9-1	9	BLUP (2021)	SICAAS9023-SICAAS9107	0-68.88	3.86	3.68	0.02
qSC9-2	9	BLUP (2022)	SICAAS9107-SICAAS9131	68.88-123.22	2.79	3.52	-0.01
qSC9-3	9	BLUP (2021, 2022)	SICAAS9131-SICAAS9042	123.33-169.79	2.94	3.51	0.03
qFLA1-1	1	BLUP (2021, 2022)	SICAAS1052-SICAAS1068	134.52-175.47	4.52	16.89	0.71
qFLA5-1	5	BLUP (2021, 2022)	SICAAS5046-SICAAS5008	133.79-153.33	2.70	10.87	0.60
qFLA7-1	7	BLUP (2022)	SICAAS7019-SICAAS7073	49.53-61.76	3.05	9.63	0.54
qFLA9-1	9	BLUP	SICAAS9131-SICAAS9042	123.33-169.79	3.56	18.05	0.62

QTL	染色体 Chr.	标记 Marker	候选基因 Candidate genes	功能注释 Functional annotation	基因物理位置 Gene physical location (Mb)
qSC1-2	1	SICAAS1052-SICAAS1068	Seita.1G240600	苯丙氨酸解氨酶 Phenylalanine ammonia-lyase	31,806,380-31,808,846
qFLA5-1	5	SICAAS5046-SICAAS5008	Seita.5G070500	异黄酮还原酶 Isoflavone reductase	6,041,130-6,042,851
qSC5-1	5	SICAAS5060-SICAAS5034	Seita.5G124200	UDP-糖基转移酶 UDP-glycosyltransferase	10,408,350-10,412,722
qSC8-1	8	SICAAS8001-SICAAS8019	Seita.8G188600	香豆酰辅酶A Agmatine coumaroyl CoA	33,585,009-33,586,364
qFLA9-1	9	SICAAS9131-SICAAS9042	Seita.9G169100	醛酮还原酶 Aldo/keto reductase	55,949,693-55,952,956

谷子籽粒类黄酮含量和粒色的QTL定位

QTL mapping for flavonoid content and seed color in foxtail millet

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