利用染色体单片段代换系定位水稻芽期耐冷QTL

doi:10.3724/SP.J.1259.2015.00338

植物学报 ›› 2015, Vol. 50 ›› Issue (3): 338-345.DOI: 10.3724/SP.J.1259.2015.00338

利用染色体单片段代换系定位水稻芽期耐冷QTL

朱金燕¹, 杨梅², 嵇朝球³, 王军¹, 杨杰¹, 范方军¹, 李文奇¹, 王芳权¹, 梁国华², 周勇^2,^*(), 仲维功^1,^*()

¹江苏省农业科学院粮食作物研究所, 国家水稻改良中心南京分中心, 南京 210014
²扬州大学教育部植物功能基因组学重点实验室, 扬州 225009
³江苏油田直属农场, 洪泽 211706

收稿日期:2014-05-26 接受日期:2014-09-29 出版日期:2015-05-01 发布日期:2015-04-08
通讯作者: 周勇,仲维功
作者简介:
? 共同第一作者
基金资助:
国家科技支撑计划(No.2011BAD16B03)、江苏省自然科学基金(No.BK20130725)、江苏省科技支撑计划(No.BE2012309)、国家重点基础研究发展计划(No.2013CBA01405)和优质高产多抗广适性水稻新品种选育(No.CX(12)1003-2)

Identification of Cold Tolerance at the Plumule Stage Quantitative Trait Loci with Single Segment Substituted Lines in Rice

Jinyan Zhu¹, Mei Yang², Chaoqiu Ji³, Jun Wang¹, Jie Yang¹, Fangjun Fan¹, Wenqi Li¹, Fangquan Wang¹, Guohua Liang², Yong Zhou^{2, *}, Weigong Zhong^{1, *}

¹Nanjing Branch of Chinese National Center for Rice Improvement, Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
²Jiangsu Provincial Key Laboratory of Plant Functional Genomics of Ministry of Education, Yangzhou University, Yangzhou 225009, China
³Jiangsu Oilfield Farm, Hongze 211706, China

Received:2014-05-26 Accepted:2014-09-29 Online:2015-05-01 Published:2015-04-08
Contact: Zhou Yong,Zhong Weigong
About author:
? These authors contributed equally to this paper

摘要/Abstract

摘要： 水稻(Oryza sativa)芽期耐冷性是其生长发育过程中不可忽视的重要数量性状, 易受遗传背景的干扰和环境因素的影响; 利用单片段代换系(SSSLs)能减少遗传背景的干扰。该研究以85个单片段代换系为材料, 其受体亲本为广陆矮4号, 供体亲本为日本晴。通过单因素方差分析和Dunnett’s多重比较, 分析单片段代换系与受体亲本之间芽期耐冷性的差异, 并对代换片段上的芽期耐冷QTL进行鉴定。以P≤0.001为阈值共检测到8个芽期耐冷QTL, 分别分布在第1、6、8、9和10号染色体上, 其中4个QTL通过代换作图被初步定位。这些QTL加性效应均表现为增效作用, 在2个年度间其加性效应值的变化范围分别为14%-44%和10%-45%, 加性效应百分率的变化范围分别为700% -2 200%和500%-2 250%, 其中qCTP9-2在2个年度间的加性效应均最高, 分别为44%和45%。研究结果对进一步发掘和利用新的水稻芽期耐冷QTL具有重要意义。

Abstract: Cold tolerance at the plumule stage is an important trait during rice growth and can be easily affected by genetic background and environmental factors. Single segment substitution lines (SSSLs) can effectively reduce the interference of the genetic background. We developed a set of genome-wide SSSLs carrying Nipponbare introgression segments in the background of Guangluai 4. Quantitative trait loci (QTL) analysis of cold tolerance at the plumule stage involved one-way ANOVA and Dunnett’s test for comparing SSSLs with the recurrent parent Guangluai 4 (P≤0.001). We detected eight QTL for cold tolerance at the plumule stage on chromosomes 1, 6, 8, 9 and 10; all had a positive effect. In both years studied, the additive effect of these QTL ranged from 14% to 44% and 10% to 45%, with additive effect percentages 700% to 2 200% and 500% to 2 250%. Four of these QTL were primarily mapped by using the substitution mapping method, and qCTP9-2 had the largest additive effect in both years for 44% and 45%, respectively. These results provide useful information for exploring and using new grain number-related resources.

朱金燕, 杨梅, 嵇朝球, 王军, 杨杰, 范方军, 李文奇, 王芳权, 梁国华, 周勇, 仲维功. 利用染色体单片段代换系定位水稻芽期耐冷QTL. 植物学报, 2015, 50(3): 338-345.

Jinyan Zhu, Mei Yang, Chaoqiu Ji, Jun Wang, Jie Yang, Fangjun Fan, Wenqi Li, Fangquan Wang, Guohua Liang, Yong Zhou, Weigong Zhong. Identification of Cold Tolerance at the Plumule Stage Quantitative Trait Loci with Single Segment Substituted Lines in Rice. Chinese Bulletin of Botany, 2015, 50(3): 338-345.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.chinbullbotany.com/CN/10.3724/SP.J.1259.2015.00338

https://www.chinbullbotany.com/CN/Y2015/V50/I3/338

图/表 3

图1 2012年(A)和2013年(B)单片段代换系的芽期耐冷性频率分布图

Figure 1 Distribution of cold tolerance at the plumule stage of single segment substitution lines (SSSLs) in years of 2012 (A) and 2013 (B)

表1 2012年和2013年水稻芽期耐冷QTL及其加性效应

Table 1 Detection of the QTLs and additive effects for cold tolerance at the plumule stage in the SSSLs in years of 2012 and 2013

SSSLs	Chromosome	Substituted segment	Length (Mb)	QTL	2012		2013
SSSLs	Chromosome	Substituted segment	Length (Mb)	QTL	Additive effect (%)	Additive effect contribution (%)	Additive effect (%)	Additive effect contribution (%)
C32001	1	RM3148-RM6324	2.8	qCTP1-1	37	1 850	29	1 450
C32112	6	RM162-S6-16	5.05	qCTP6-1	41	2 050	10	500
C32129	8	RM22722	1.39	qCTP8-1	43	2 150	39	1 950
C32130	8	RM22822-RM22905	4.32	qCTP8-2	23	1 150	10	500
C32133	8	RM23175-RM23642	7.65	qCTP8-3	41	2 050	10	500
C32134	9	RM23679-RM23747	3.08	qCTP9-1	26	1 350	15	750
C32136	9	RM23679-RM23780	5.30	qCTP9-1	32	1 650	23	1 150
C32142	9	H16-RM24805	7.51	qCTP9-2	44	2 200	45	2 250
C32145	10	RM25213-S10-24	4.39	qCTP10-1	14	700	29	1 450

图2 水稻芽期耐冷QTL的代换作图粗黑线段为供体的代换片段, QTL位于2条竖线(虚线)之间。

Figure 2 Substitution mapping of QTLs for cold tolerance at the plumule stage in rice The substituted segments are represented by horizontal dark bars. The regions to which the substituted segments best map QTL are shown by two vertical dotted lines (dash line).

参考文献 39

1	陈大洲, 钟平安, 肖叶青, 黄英金, 谢建坤 (2002). 利用SSR标记定位东乡野生稻苗期耐冷性基因. 江西农业大学学报(自然科学版) 24, 753-756.
2	陈玮, 李炜 (2005). 水稻RIL群体芽期耐冷性基因的分子标记定位. 武汉植物学研究 23, 116-120.
3	韩龙植, 曹桂兰, 芮钟斗, 安永平, 乔永利, 黄兴九, 高熙宗 (2004). 水稻芽期耐冷性与其他耐冷性状的相关关系. 作物学报 30, 990-995.
4	韩龙植, 高熙宗, 朴钟泽 (2002). 水稻耐冷性遗传及基因定位研究概况与展望. 中国水稻科学 16, 193-198.
5	何风华, 席章营, 曾瑞珍, Talukdar A, 张桂权 (2005). 利用高代回交和分子标记辅助选择建立水稻单片段代换系. 遗传学报 32, 825-831.
6	纪素兰, 江玲, 王益华, 刘世家, 刘喜, 翟虎渠, 万建民 (2007). 利用回交重组自交群体检测水稻耐低温发芽数量性状基因座. 南京农业大学学报 30, 1-6.
7	梁谊, 王建军, 游承俐 (1998). 亚洲水稻耐冷性研究现状. 云南农业大学学报 13, 135-138.
8	林静, 张亚东, 朱镇, 赵凌, 陈涛, 王才林 (2008). 利用重组自交系群体检测水稻芽期耐冷性QTL. 江西农业学报 20(3), 1-3.
9	刘冠明, 李文涛, 曾瑞珍, 张泽民, 张桂权 (2004). 水稻单片段代换系代换片段的QTL鉴定. 遗传学报 31, 1395-1400.
10	钱前, 曾大力, 何平, 郑先武, 陈英, 朱立煌 (1999). 水稻籼粳交DH群体苗期的耐冷性QTLs分析. 科学通报 44, 2402-2408.
11	乔永利, 韩龙植, 安永平, 张媛媛, 曹桂兰, 高熙宗 (2005). 水稻芽期耐冷性QTL的分子定位. 中国农业科学 38, 217-221.
12	徐云碧, 申宗坦 (1989). 籼粳稻间苗期耐冷性的遗传研究. 中国农业科学 22(5), 14-18.
13	严长杰, 李欣, 程祝宽, 于恒秀, 顾铭洪, 朱立煌 (1999). 利用分子标记定位水稻芽期耐冷性基因. 中国水稻科学 13(3), 134-138.
14	杨川航, 王玉平, 涂斌, 曾玉清, 李仕贵 (2012). 利用籼粳交RIL群体对水稻耐寒性及再生力的QTL分析. 中国水稻科学 26, 741-745.
15	詹庆才, 曾曙珍, 熊伏星, 齐藤浩二, 加藤明 (2003). 水稻苗期耐冷性QTLs的分子定位. 湖南农业大学学报(自然科学版) 29, 7-11.
16	张露霞, 王松凤, 江玲, 万建民 (2007). 利用重组自交系群体检测水稻芽期耐冷性QTL. 南京农业大学学报 30(4), 1-5.
17	周勇, 朱孝波, 袁华, 郑英, 钦鹏, 魏应海, 王玉平, 黄世君, 李仕贵 (2013). 水稻单片段代换系芽期和苗期耐冷性分析及耐冷性QTL鉴定. 中国水稻科学 27, 381-388.
18	朱金燕, 嵇朝球, 周勇, 王军, 王中德, 杨杰, 范方军, 梁国华, 仲维功 (2011). 利用染色体单片段代换系定位水稻株高QTL. 植物学报 46, 632-641.
19	Andaya VC, Mackill DJ (2003). Mapping of QTLs associated with cold tolerance during the vegetative stage in rice.J Exp Bot 54, 2579-2585.
20	Baruah AR, Ishigo-Oka N, Adachi M, Oguma Y, Tokizono Y, Onishi K, Sano Y (2009). Cold tolerance at the early growth stage in wild and cultivated rice.Euphytica 165, 459-470.
21	Eshed Y, Zamir D (1995). An introgression line population of Lycopersicon pennellii in the cultivated tomato enables the identification and fine mapping of yield-associated QTL.Genetics 141, 1147-1162.
22	Fujino K, Sekiguchi H (2011). Origins of functional nucleotide polymorphisms in a major quantitative trait loc- us, qLTG3-1, controlling low-temperature germinability in rice.Plant Mol Biol 75, 1-10.
23	Fujino K, Sekiguchi H, Sato T, Kiuchi H, Nonoue Y, Takeuchi Y, Ando Y, Lin SY, Yano M (2004). Mapping of quantitative trait loci controlling low-temperature germinability in rice (Oryza sativa L.).Theor Appl Genet 108, 794-799.
24	Glaszmann JC, Kaw RN, Khush GS (1990). Genetic divergence among cold tolerant rices (Oryza sativa L.).Euphytica 45, 95-104.
25	Jeong EG (2001). Molecular genetic analysis of quantitative trait loci related to cold tolerance in rice. Ph. D thesis. Kangwon: Kangwon National University.
26	Koseki M, Kitazawa N, Yonebayashi S, Machara Y, Wang ZX, Minobe Y (2010). Identification and fine mapping of a major quantitative trait locus originating from wild rice, controlling cold tolerance at the seedling stage.Mol Genet Genom 284, 45-54.
27	Kwon YW, Kim JH, Ahn SB (1979a). Studies on the chilling injury of rice seedling. I. Characterization of chilling injury and recovery of rice seedling of different leaf stages.J Korean Soc Crop Sci 24, 11-23.
28	Kwon YW, Kim JH, Oh YJ, Lee MH (1979b). Studies on the chilling injury of rice seedling. II. Maximum tolerance of the recent varieties from indica × japonica cross to chilling stress at the 3rd leaf stage.J Korean Soc Crop Sci 24(2), 17-26.
29	Li CC, Rutger JN (1980). Inheritance of cool temperature seedling vigor in rice and its relationship with other agronomic characters.Crop Sci 20, 295-298.
30	Li LF, Liu X, Xie K, Wang YH, Liu F, Lin QY, Wang WY, Yang CY, Lu BY, Liu SJ, Chen LM, Jiang L, Wan JM (2013). qLTG-9, a stable quantitative trait locus for low- temperature germination in rice (Oryza sativa L.).Theor Appl Genet 126, 2313-2322.
31	McCouch SR, Doerge RW (1995). QTL mapping in rice.Trends Genet 11, 482-487.
32	Saito K, Hayano-Saito Y, Kuroki M, Sato Y (2010). Map- based cloning of the rice cold tolerance gene Ctb1.Plant Sci 179, 97-102.
33	Saito K, Miura K, Nagano K (1995). Chromosomal location of quantitative trait loci for cool tolerance at the booting stage in rice variety “Norin-PL8”.Breed Sci 45, 337-340.
34	Teng S, Zeng DL, Qian Q, Kunihifo Y, Huang DN, Zhuang LH (2001). QTL analysis of rice low temperature germinability.Chin Sci Bull 46, 1800-1803.
35	Toriyama K, Futsuhara Y (1960). Genetic studies on cool tolerance in rice. I. Inheritance of cool tolerance.Jpn J Breed 10, 143-153.
36	Ye CR, Kato A, Saito K, Ise K, Dai LY, Yang QZ (2001). QTL analysis of cold tolerance at the booting stage in Yunnan rice variety Chongtui.Chin J Rice Sci 15, 13-16.
37	Young ND, Tanksley SD (1989). Restriction fragment length polymorphism maps and the concept of graphical genotypes.Theor Appl Genet 77, 95-101.
38	Zhang ZH, Su L, Li W, Chen W, Zhu YG (2005). A major QTL conferring cold tolerance at the early seedling stage using recombinant inbred lines of rice (Oryza sativa L.).Plant Sci 168, 527-534.
39	Zhou L, Zeng YW, Hu GL, Pan YH, Yang SM, You AQ, Zhang HL, Li JJ, Li ZC (2012). Characterization and identification of cold tolerant near-isogenic lines in rice.Breed Sci 62, 196-201.

利用染色体单片段代换系定位水稻芽期耐冷QTL

Identification of Cold Tolerance at the Plumule Stage Quantitative Trait Loci with Single Segment Substituted Lines in Rice

RichHTML

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 3

参考文献 39

相关文章 0

编辑推荐

Metrics

本文评价