基于三维模型重构的花生网纹厚度性状QTL分析

doi:10.3724/SP.J.1006.2022.14114

作物学报 ›› 2022, Vol. 48 ›› Issue (8): 1894-1904.doi: 10.3724/SP.J.1006.2022.14114

• 作物遗传育种·种质资源·分子遗传学 • 上一篇下一篇

基于三维模型重构的花生网纹厚度性状QTL分析

张胜忠¹(), 胡晓辉¹, 慈敦伟¹, 杨伟强¹, 王菲菲¹, 邱俊兰², 张天雨³, 钟文³, 于豪諒⁴, 孙冬平⁴, 邵战功⁵, 苗华荣¹^,^*(), 陈静¹^,^*()

¹山东省花生研究所, 山东青岛 266100
²威海市种子管理站, 山东威海 264200
³山东省种子管理总站, 山东济南 250100
⁴烟台枫林食品股份有限公司, 山东烟台 264108
⁵莱西市农业农村局, 山东青岛 266600

收稿日期:2021-07-01 接受日期:2021-11-29 出版日期:2022-08-12 网络出版日期:2021-12-28
通讯作者: 苗华荣,陈静
作者简介:E-mail: 593318769@qq.com
基金资助:
国家自然科学基金项目(32001584);山东省农业良种工程(2020LZGC001);山东省农业科学院创新工程(CXGC2021A09);山东省农业科学院创新工程(CXGC2021A46);青岛市科技惠民示范引导专项(20-3-4-26-nsh)

QTLs analysis for reticulation thickness based on reconstruction of three dimensional models in peanut pods

ZHANG Sheng-Zhong¹(), HU Xiao-Hui¹, CI Dun-Wei¹, YANG Wei-Qiang¹, WANG Fei-Fei¹, QIU Jun-Lan², ZHANG Tian-Yu³, ZHONG Wen³, YU Hao-Liang⁴, SUN Dong-Ping⁴, SHAO Zhan-Gong⁵, MIAO Hua-Rong¹^,^*(), CHEN Jing¹^,^*()

¹Shandong Peanut Research Institute, Qingdao 266100, Shandong, China
²Weihai Seed Management Station, Weihai 264200, Shandong, China
³Shandong Seed Administration Station, Jinan 250100, Shandong, China
⁴Yantai Fenglin Foodstuff Co., Ltd, Yantai 264108, Shandong, China
⁵Agricultural and Rural Bureau of Laixi City, Qingdao 266600, Shandong, China

Received:2021-07-01 Accepted:2021-11-29 Published:2022-08-12 Published online:2021-12-28
Contact: MIAO Hua-Rong,CHEN Jing
Supported by:
National Natural Science Foundation of China(32001584);Breeding Project from Department Science & Technology of Shandong Province(2020LZGC001);Agricultural Scientific and the Technological Innovation Project of Shandong Academy of Agricultural Sciences(CXGC2021A09);Agricultural Scientific and the Technological Innovation Project of Shandong Academy of Agricultural Sciences(CXGC2021A46);Qingdao People's Livelihood Science and Technology Program(20-3-4-26-nsh)

摘要/Abstract

摘要：

荚果网纹厚度, 不仅是花生重要的品种特性, 也与花生适宜机械化收获特性密切相关。为探索花生荚果网纹厚度遗传基础, 本研究开发了一种基于三维模型重构测定网纹厚度的方法, 并且以品种花育36号和品系6-13配组衍生的181个重组自交系(recombinant inbred line, RIL)群体为材料, 考察了该RIL群体2019—2020年在山东青岛、东营和威海3个环境下表型数据。结果表明, 横向和纵向网纹厚度在RIL群体中均表现为连续分布和超亲遗传, 广义遗传率分别为0.92和0.91。利用前期构建的高密度遗传图谱, 共定位到11个与网纹厚度相关加性QTL, 其中6个与横纹厚度相关, 5个与纵纹厚度相关, 表型贡献率范围为5.21%~11.06%。定位到2个主效位点qLA2和qLO9, 可在不同环境下表达, 其增效等位基因分别来自花育36号和6-13。共定位到22对上位性QTL, 共涉及34个位点, 表型贡献率范围为0.55%~4.37%, 其中10对与横纹厚度相关, 12对与纵纹厚度相关。本研究结果将为花生相关性状基因定位和分子育种提供重要的参考。

关键词: 花生, 荚果网纹, QTL, 加性, 上位性

Abstract:

The thickness of pod reticulation is not only an important criterion of peanut taxonomy, but also an agronomy trait related to peanut mechanical harvesting. To explore the genetic mechanism of reticulation thickness of peanut pods, a novel phenotyping method was developed to determine the reticulation thickness through reconstructing three dimensional (3D) models of pods. Meanwhile, a recombinant inbred line (RIL) population (181 lines) was derived from a cross between Huayu 36 and 6-13 and planted in three environments from 2019 to 2020, including Qingdao, Dongying, and Weihai of Shandong province. Phenotypic data of the RIL population were collected from these three environments. Two related traits, thicknesses of latitudinal and longitudinal protuberant veins (reticulations), had continuous and transgressive distributions in the RIL population, with broad-sense heritablities of 0.92 and 0.91, respectively. Based on a previous high density genetic map, a total of 11 additive QTLs were identified explaining phenotypic variations of 5.21%-11.06%, among which six QTLs were related to thickness of latitudinal protuberant vein and five related to thickness of longitudinal protuberant vein. Two major loci, qLA2 and qLO9 could be detected in more than one environments, with contributing alleles coming from Huayu 36 and 6-13, respectively. A total of 22 pairs of epistatic QTLs involving 34 loci were identified explaining phenotypic variations of 0.55%-4.37%, among which 10 pairs of interactions were related to thickness of latitudinal protuberant vein and 12 pairs were related to thickness of longitudinal protuberant vein. These results provide valuable information for further gene mapping and molecular breeding in peanut.

Key words: peanut, pod reticulation, QTLs, additive, epistatic

张胜忠, 胡晓辉, 慈敦伟, 杨伟强, 王菲菲, 邱俊兰, 张天雨, 钟文, 于豪諒, 孙冬平, 邵战功, 苗华荣, 陈静. 基于三维模型重构的花生网纹厚度性状QTL分析[J]. 作物学报, 2022, 48(8): 1894-1904.

ZHANG Sheng-Zhong, HU Xiao-Hui, CI Dun-Wei, YANG Wei-Qiang, WANG Fei-Fei, QIU Jun-Lan, ZHANG Tian-Yu, ZHONG Wen, YU Hao-Liang, SUN Dong-Ping, SHAO Zhan-Gong, MIAO Hua-Rong, CHEN Jing. QTLs analysis for reticulation thickness based on reconstruction of three dimensional models in peanut pods[J]. Acta Agronomica Sinica, 2022, 48(8): 1894-1904.

图/表 9

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表1

图4

表2

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表3

表4

荚果网纹相关性状上位性QTL信息"

性状 Trait	QTL_i	染色体Chr.	标记区间 Marker interval	QTL_j	染色体Chr.	标记区间 Marker interval	LOD	上位性效应 AA	贡献率 PVE (%)
横纹厚度 LA	Epi-qLA1	1	Marker344-Marker340	Epi-qLA7	7	AHGS0035-AHGS1954	5.57	0.0015	2.72
	Epi-qLA2	2	Marker862-Marker746	Epi-qLA3.1	3	Marker1177-Marker1191	5.73	0.0021	2.64
	Epi-qLA3.2	3	Marker1894-Marker1906	Epi-qLA10.3	10	Marker5972-Marker5996	5.24	0.0016	2.58
	Epi-qLA3.2	3	Marker1894-Marker1906	Epi-qLA12	12	Marker6650-Marker6653	5.03	0.0017	2.82
	Epi-qLA3.2	3	Marker1894-Marker1906	Epi-qLA16	16	Marker10343-Marker10344	5.44	0.0021	2.77
	Epi-qLA5.1	5	Marker3174-Marker3169	Epi-qLA5.2	5	Marker3064-Marker3055	5.32	0.0023	1.77
	Epi-qLA5.2	5	Marker3064-Marker3055	Epi-qLA10.2	10	Marker5872-Marker5972	6.93	0.0027	3.50
	Epi-qLA5.1	5	Marker3174-Marker3169	Epi-qLA19	19	AHGS1634-Marker11752	5.26	-0.0015	2.65
	Epi-qLA8	8	Marker4781-Marker4778	Epi-qLA9	9	Marker5648-Marker5656	5.93	0.0016	3.17
	Epi-qLA9	9	Marker5648-Marker5656	Epi-qLA10.1	10	Marker5953-Marker5941	5.90	-0.0016	3.15
纵纹厚度 LO	Epi-qLO1.1	1	Marker25-Marker11	Epi-qLO15	15	Marker8480-Marker8432	5.44	0.1933	2.40
	Epi-qLO1.2	1	Marker597-Marker601	Epi-qLO11.2	11	Marker6349-Marker6352	5.55	0.0957	3.69
	Epi-qLO3	3	Marker1177-Marker1191	Epi-qLO11.1	11	Marker6220-Marker6275	9.91	-0.1251	4.37
	Epi-qLO5	5	Marker3174-Marker3169	Epi-qLO10.2	10	Marker5872-Marker5972	5.46	-0.1136	3.51
	Epi-qLO6.1	6	Marker3659-Marker3660	Epi-qLO20	20	Marker12781-Marker12791	6.64	0.1012	0.55
	Epi-qLO6.2	6	Marker4191-Marker4236	Epi-qLO8.1	8	Marker4862-Marker4875	6.99	-0.1060	3.32
	Epi-qLO7	7	Marker4658-Marker4605	Epi-qLO18	18	Marker11664-Marker11669	5.06	-0.1120	3.76
	Epi-qLO8.2	8	AGGS1495-Marker4770	Epi-qLO15.2	15	Marker8513-Marker8628	6.83	-0.1403	1.91
	Epi-qLO10.1	10	Marker5877-Marker5872	Epi-qLO11.1	11	Marker6220-Marker6275	5.39	0.2010	1.57
	Epi-qLO10.2	10	Marker5872-Marker5972	Epi-qLO15.2	15	Marker8513-Marker8628	6.75	0.2029	3.89
	Epi-qLO10.2	10	Marker5872-Marker5972	Epi-qLO16	17	Marker10786-C123	5.04	0.1245	2.59
	Epi-qLO13	13	Marker6815-Marker6823	Epi-qLO15.1	15	Marker8503-Marker8489	5.52	0.1190	3.37

表4

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性状 Trait	环境Environment	亲本Parents		RIL群体RIL population
性状 Trait	环境Environment	花育36号Huayu 36	6-13	平均值Mean	标准差SD	最小值Min.	最大值Max.	峰度Kurt.	偏度Skew.	Shapiro-Wilk
横纹厚度 LA (mm)	E1	0.2431	0.0293^**	0.1902	0.0829	0.0167	0.4448	-0.12	0.10	0.989^*
	E2	0.2320	0.0514^**	0.1731	0.0914	0.0147	0.4854	0.54	0.60	0.977^**
	E3	0.1961	0.0496^**	0.1993	0.0909	0.0101	0.4854	0.26	0.31	0.986^*
纵纹厚度 LO (mm)	E1	0.4003	0.7165^**	0.4884	0.1138	0.2704	0.7673	-0.27	0.50	0.970
	E2	0.3811	0.7356^**	0.4871	0.1277	0.2538	0.9096	-0.11	0.37	0.981^**
	E3	0.4278	0.7490^**	0.4777	0.1340	0.1788	0.8519	0.74	0.81	0.948

性状Trait	来源Source	自由度DF	方差SS	标准差MS	F值F-value	P值P value	遗传率h²
横纹厚度 LA	基因型G	169	0.0851	0.0005	20.4911	P<0.001	0.92
	环境E	2	0.0015	0.0007	29.6624	P<0.001
	基因型×环境G × E	252	0.0148	0.0001	2.3888	P<0.001
	误差Error	833	0.0205	0
纵纹厚度 LO	基因型G	169	0.1643	0.0010	13.9010	P<0.001	0.91
	环境E	2	0.0003	0.0002	2.2961	P<0.001
	基因型×环境G × E	252	0.0311	0.0001	1.7620	P<0.001
	误差Error	832	0.0582	0.0001

性状 Trait	QTL	环境Env.	染色体Chr.	标记区间 Marker interval	置信区间 C.I. (cM)	LOD	加性效应Add	贡献率PVE (%)
横纹厚度 LA	qLA2	E1	2	Marker938-Marker875	0-3.9	3.31	-0.0030	11.06
		E2	2	Marker938-Marker875	0-5.6	2.91	-0.0029	6.08
		E3	2	Marker938-Marker864	0-2.8	3.70	-0.0039	7.44
	qLA3	E1	3	Marker1868-Marker1876	24.8-34.2	2.93	0.0028	5.62
	qLA12	E3	12	Marker6681-Marker6697	91-105.2	2.64	0.0021	5.21
	qLA15	E1	15	Marker9048-Marker9075	35-53.1	2.83	-0.0034	5.34
	qLA16.1	E1	16	Marker9463-Marker10015	0.9-11.2	4.30	0.0047	10.79
	qLA16.2	E2	16	Marker10139-Marker10315	19.3-24.8	3.59	-0.0034	7.55
纵纹厚度 LO	qLO4	E1	4	Marker2874-3754F	35-53.1	3.21	-0.0034	8.31
		E3	4	Marker2874-3754F	34.3-52.7	3.10	-0.0040	8.74
	qLO9	E1	9	Marker4980-Marker5581	0.9-11.2	3.76	0.0047	10.96
		E2	9	Marker4980-Marker5533	1-11.2	3.85	0.0050	10.99
	qLO12	E3	12	Marker6697-Marker6722	96-105.5	4.07	0.0045	10.71
	qLO17	E2	17	Marker10418-Marker10431	0-8.4	2.61	-0.0033	6.05
	qLO19	E2	19	Marker11749-Marker11769	11.5-15.5	3.10	0.0047	7.26

基于三维模型重构的花生网纹厚度性状QTL分析

QTLs analysis for reticulation thickness based on reconstruction of three dimensional models in peanut pods

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