正常与水分胁迫下水稻叶片叶绿素含量的QTL分析

doi:10.17521/cjpe.2006.0064

摘要/Abstract

摘要：

随着分子标记技术的发展,利用不同的遗传群体对叶绿素的分子遗传机理进行了一些探索,定位了一些控制叶绿素含量的数量性状基因座(Quantitative trait loci, QTL)。该研究着眼于当前干旱严重影响农业生产的形势,以水稻重组自交系‘珍汕97B’×‘IRAT109’ F₉代群体195个株系为材料,在正常与水分胁迫环境下研究叶片叶绿素含量与光合速率的变化及相关性,定位不同水分条件下影响叶绿素含量的QTL,为阐明干旱环境下水稻叶绿素含量的分子遗传机理、分子标记辅助育种和节水抗旱稻培育提供理论基础和依据。研究表明叶绿素含量与光合速率在正常供水下呈极显著正相关(r=0.185 7^**),但在干旱下则表现无关(r=0.076 6)。QTL定位共检测到13个影响叶绿素含量的主效QTL,分别位于第1、2、3、4、5、6、10染色体:其中在干旱处理下检测到6个,其联合贡献率为47.39%;在正常供水下检测到7个,联合贡献率达56.19%。检测到显著互作效应位点16对:其中干旱处理下有4对显著互作,联合贡献率为18.57%;正常供水下有12对显著互作,联合贡献率达38.49%。

关键词: 重组自交系, 叶绿素含量, 光合速率, QTL分析, 水稻

Abstract:

With the development of molecular marker techniques, researchers have begun to study the genetic mechanisms that control the chlorophyll content (CC) of plants. Researchers have mapped some of the quantitative trait loci (QTLs) controlling CC in different genetic rice populations. Because drought is the major obstacle to agriculture production, this study was carried out under well water and water stressed conditions to map QTLs affecting CC, and to analyze correlations between the CC and photosynthetic rate (P_n) with a recombinant inbred line (RILs) population. The objective was to provide a theoretical foundation for better understanding the molecular genetic mechanisms of CC under different water conditions, breeding with marker assistance selection, and development of drought tolerant and water saving rice cultivars. A significant positive correlation between CC and P_n (r=0.185 7^**) was found under normal watering conditions, but there was no significant correlation (r=0.076 6) under drought stress. A total of 13 main QTLs related to CC were detected and located on chromosomes 1, 2, 3, 4, 5, 6, 10. Of these, 6 QTLs were identified under drought stress with an accumulated contribution of 47.39% and 7 QTLs were identified under normal conditions with a total contribution of 56.19%. A total of 16 pairs of digenic interactions were detected including 4 pairs under drought stress with a total contribution of 18.57% and 12 pairs under normal conditions that accounted for 38.49% of the total.

Key words: Recombinant inbred lines (RILs), Chlorophyll content (CC), Photosynthetic rate (P_n), Analysis of quantitative trait loci (QTL), Rice (Oryza sativa)

胡颂平, 梅捍卫, 邹桂花, 刘鸿艳, 刘国兰, 蔡润, 李明寿, 罗利军. 正常与水分胁迫下水稻叶片叶绿素含量的QTL分析. 植物生态学报, 2006, 30(3): 479-486. DOI: 10.17521/cjpe.2006.0064

HU Song-Ping, MEI Han-Wei, ZOU Gui-Hua, LIU Hong-Yan, LIU Guo-Lan, CAI Run, LI Ming-Shou, LUO Li-Jun. ANALYSIS OF QUNATITATIVE TRAIT LOCI FOR CHLOROPHYLL CONTENT IN RICE LEAVES UNDER DROUGHT STRESS. Chinese Journal of Plant Ecology, 2006, 30(3): 479-486. DOI: 10.17521/cjpe.2006.0064

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链接本文: https://www.plant-ecology.com/CN/10.17521/cjpe.2006.0064

https://www.plant-ecology.com/CN/Y2006/V30/I3/479

图/表 7

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处理 Treatments	‘IRAT109’	‘珍汕97B’ ‘Zhenshan97B’		重组自交系 Recombinant inbred lines (RILs)
处理 Treatments	均值 Mean±SD	均值 Mean±SD		范围 Range	均值 Mean±SD	峰度 Peak	偏度 Skewness	F值 F value
N	4.96±0.10		4.72±0.18	3.83~5.52	4.61±0.32	0.05	0.15	0.45
S	4.69±0.13		4.41±0.10	3.90~5.69	4.62±0.32	0.13	0.33

处理 Treatments	‘IRAT109’	‘珍汕97B’ ‘Zhenshan97B’		重组自交系 Recombinant inbred lines (RILs)
处理 Treatments	均值 Mean±SD	均值 Mean±SD		范围 Range	均值 Mean±SD	峰度 Peak	偏度 Skewness	F值 F value
N	4.96±0.10		4.72±0.18	3.83~5.52	4.61±0.32	0.05	0.15	0.45
S	4.69±0.13		4.41±0.10	3.90~5.69	4.62±0.32	0.13	0.33

性状 Traits	正常条件下光合速率 N-P_n	干旱胁迫下叶绿素含量 S-CC	正常条件下叶绿素含量 N-CC
S-P_n	0.347 7^**	0.076 6	0.109 8
N-P_n		0.285 2^**	0.185 7^**
S-CC			0.766 7^**

性状 Traits	正常条件下光合速率 N-P_n	干旱胁迫下叶绿素含量 S-CC	正常条件下叶绿素含量 N-CC
S-P_n	0.347 7^**	0.076 6	0.109 8
N-P_n		0.285 2^**	0.185 7^**
S-CC			0.766 7^**

数量性状位点 QTLs	处理 Treatments	染色体 Chromosome	标记区间 Marker intervals	LOD值 LOD values	贡献率 PVE(%)	加性效应 Additive	概率 p
qCC1	S	1	RM443-RM297	4.56	6.46	0.083 2	<0.000 1
qCC2a	S	2	RM438-RM424	2.69	4.81	0.071 8	0.000 4
qCC3a	S	3	RM132-RM22	5.02	8.26	-0.094 1	<0.000 1
qCC3b	S	3	RM520-RM571	5.43	9.35	-0.100 1	<0.000 1
qCC4a	S	4	RM349-RM127	2.13	3.98	0.065 3	0.001 7
qCC5	S	5	RM153-RM507	5.94	14.53	0.124 8	<0.000 1
qCC2b	N	2	RM424-RM561	2.31	3.54	0.052 7	0.001 1
qCC3c	N	3	RM22-RM231	7.92	13.95	-0.104 6	<0.000 1
qCC3d	N	3	RM426-RM203	5.65	10.51	-0.090 8	<0.000 1
qCC4b	N	4	RM255-RM349	2.85	5.31	0.064 5	0.000 3
qCC6a	N	6	RM549-RM539	4.00	6.39	0.070 8	<0.000 1
qCC6b	N	6	RM3-RM162	4.51	9.26	-0.085 2	<0.000 1
qCC10	N	10	RM271-RM269	3.02	7.23	-0.075 3	0.000 2