欢迎访问作物学报,今天是

作物学报 ›› 2010, Vol. 36 ›› Issue (2): 267-275.doi: 10.3724/SP.J.1006.2010.00267

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

小麦苗期光合作用及其相关性状的QTL分析

梁燕1,张坤普2,赵亮1,梁雪1,张雯婷1,孙晓琳1,孟庆伟1,田纪春1,*,赵世杰1,*   

  1. 1山东农业大学国家作物生物学重点实验室, 山东泰安 271018;2 中国科学院遗传与发育生物学研究所,北京 100101
  • 收稿日期:2009-05-26 修回日期:2009-10-02 出版日期:2010-02-10 网络出版日期:2010-01-10
  • 通讯作者: 赵世杰, E-mail: sjzhao@sdau.edu.cn; Tel: 0538-8249767; 田纪春, E-mail: jctian@sdau.edu.cn; Tel: 0538-8242040
  • 基金资助:

    本研究由国家重点基础研究发展计划(973计划)项目(2009CB118301)和国家高技术研究发展计划(863计划)项目(2006AA100101)资助。

Analysis of QTLs Associated with Photosynthesis Characteristics in Wheat Seedlings

LIANG Yan1,ZHANG Kun-Pu2,ZHAO Liang1,LIANG Xue1,ZHANG Wen-Ting1,SUN Xiao-Lin1,MENG Qing-Wei1,TIAN Ji-Chun1,*,ZHAO Shi-Jie1,*
  

  1. 1 State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an 271018, China; 2Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
  • Received:2009-05-26 Revised:2009-10-02 Published:2010-02-10 Published online:2010-01-10
  • Contact: ZHAO Shi-Jie, E-mail: sjzhao@sdau.edu.cn; Tel: 0538-8249767;WANG Ji-Chun, E-mail: jctian@sdau.edu.cn; Tel: 0538-8242040

摘要:

将小麦品种花培3号和豫麦57构建的DH群体的168个株系及其亲本,盆栽于两个环境中,利用324个SSR标记位点构建遗传图谱,对单叶净光合速率及相关参数、叶绿体色素含量和叶绿素荧光参数进行QTL定位和分析。利用基于混合线性模型的QTLNetwork 2.0,共检测到17个加性效应和20对上位性效应位点,其中所有加性效应位点和16对上位性效应位点具有环境互作效应。相关性较高的性状间有一些共同的QTL,表现出一因多效或者紧密连锁效应。在5D染色体上的Xwmc215Xgdm63区段,检测到控制叶绿素a、叶绿素b和类胡萝卜素含量的3个主效QTL,各位点的遗传效应贡献率较大,增效基因均来源于花培3号,适用于分子标记辅助选择和聚合育种。另外,该区段与控制单叶净光合速率(Pn)、气孔导度(Gs)、胞间CO2浓度(Ci)和胞间CO2浓度与胞外CO2浓度比值(Ci/Cr的QTL的定位区间相近。位于5B染色体控制胞间CO2浓度的QTL是个微效基因,但是QTL与两种环境的互作效应表现的遗传贡献比较大。)

关键词: 净光合速率, 叶绿素含量, 叶绿素荧光参数, QTL定位, 小麦

Abstract:

For the purpose of detecting QTLs associated with photosynthetic related traits, a set of 168 doubled haploid (DH) lines derived from the cross between Huapei 3 and Yumai 57 was tested with 324 SSR markers covering the whole genome of wheat (Triticum aestivum L.). The net photosynthetic rate, gas changes, chlorophyll content, and chlorophyll fluorescence in leaves were investigated in both DH population and the parents at seedling stage. QTL analysis was carried out using QTLNetwork version 2.0 based on the mixed linear model. A total of 17 additive QTLs and 20 pairs of epistatic QTLs were detected for the photosynthetic related traits. All additive QTLs and 16 pairs of epistatic QTLs had interactions with environments. In agreement with the high correlations of phenotypes, several traits shared common QTL regions, and showed tight linkages of these QTLs or pleiotropisms. In the interval between Xwmc215 and Xgdw63 on chromosome 5D, three major additive QTLs for chlorophyll a, chlorophyll b, and carotinoid contents explained the phenotypic variations by 18.23%, 10.40%, and 27.25%, respectively, whose positive alleles were all originated from Huapei 3. These QTLs are favorable for marker-assisted selection. In addition, this region was near the QTLs for net photosynthetic rate (Pn), stomatal conductance (Gs), intercellular CO2 concentration (Ci), and the ratio of Cito gas conductance (Cr). The QTL for Ci on chromosome 5B was a minor locus but explained relatively great phenotypic variation in the interactions between QTLs and environments.

Key words: Photosynthetic rate, Chlorophyll content, Chlorophyll fluorescence parameters, QTL mapping, Wheat

[1] Teng S, Qian Q, Zeng D L, Kunihiro Y, Fujimoto K, Huang D, Zhu L H. QTL analysis of leaf photosynthetic rate and related physiological traits in rice (Oryza sativa L.). Euphytica, 2004, 135: 1-7

[2] Hu M-L(胡茂龙), Wang C-M(王春明), Yang Q-H(杨权海), Zhai H-Q(翟虎渠), Lu W(陆巍), Zhang R-X(张荣铣), Wan J-M(万建民). QTL analysis for traits associated with photosynthetic functions in rice (Oryza sativa L.). Acta Genet Sin (遗传学报), 2005, 32(8): 818-824 (in Chinese with English abstract)

[3] Yang D L, Jing R L, Chang X P, Li W. Quantitative trait loci mapping for chlorophyll fluorescence and associated traits in wheat (Triticum aestivum L.). J Integr Plant Biol, 2007, 49: 646-654

[4] Huang X Q, Cloutier S, Lycar L, Radovanovic N, Humphreys D G, Noll J S, Somers D J, Brown P D. Molecular detection of QTLs for agronomic and quality traits in a doubled haploid population derived from two Canadian wheats (Triticum aestivum L.). Theor Appl Genet, 2006, 113: 753-766

[5] Xue G P, Lynne McIntyre C, Chapman S, Bower Neil I, Way H, Reverter A, Clarke B, Shorter R. Differential gene expression of wheat progeny with contrasting levels of transpiration efficiency. Plant Mol Biol, 2006, 61: 863-881

[6] Verma Vinesh, Foulkes M J, Worland A J, Sylvester-Bradley R, Caligari P D S, Snape J W. Mapping quantitative trait loci for flag leaf senescence as a yield determinant in winter wheat under optimal and drought-stressed environments. Euphytica, 2004, 135: 255-263

[7] Cao W-D(曹卫东), Jia J-Z(贾继增), Jin J-Y(金继运). Identification and interaction analysis of QTL for chlorophyll content in wheat seedling. Plant Nutr Fert Sci (植物营养与肥料学报), 2004, 10(5): 473-478 (in Chinese with English abstract)

[8] Su J Y, Tong Y P, Liu Q Y, Li B, Jing R L, Li J Y, Li Z S. Mapping quantitative trait loci for post-anthesis dry matter accumulation in wheat. J Integr Plant Biol, 2006, 48: 938-944

[9] Yang D L, Jing R L, Chang X P, Li W. Identification of quantitative trait loci and environmental interactions for accumulation and remobilization of water-soluble carbohydrates in wheat (Triticum aestivum L.) stems. Genetics-584, 2007, 176: 571

[10] Wang D L, Zhu J, Li Z K, Paterson A H. Mapping QTLs with epistatic effects and QTL×environment interactions by mixed linear model approaches. Theor Appl Genet,1999, 99: 1255-1264

[11] Yang J, Zhu J. Predicting superior genotypes in multiple environments based on QTL effects. Theor Appl Genet, 2005, 110: 1268-1274

[12] Hai Y(海燕), Kang M-H(康明辉). Breeding of a new wheat variety Huapei 3 with high yield and early maturing. Henan Agric Sci (河南农业科学), 2007, (5): 36-37 (in Chinese)

[13] Guo C-Q(郭春强), Bai Z-A(柏志安), Liao P-A(廖平安), Jin W-K(靳文奎). New high quality and yield wheat variety Yumai 57. China Seed (中国种业), 2004, (4): 54 (in Chinese)

[14] Zhang Y-H(张玉红), Liang Y(梁燕), Chen L-P(陈利平), Zhao S-J(赵世杰). Experimental design and implementation for gene assignment of photosynthetic characters of winter wheat DH seedlings in phytotron. Shandong Agric Sci (山东农业科学), 2008, (8): 106-107, 109 (in Chinese with English abstract)

[15] Lichtenthaler H K, Wellburn A R. Determinations of total carotenoids and chlorophylls a and b of leaf extracts in different solvents. Biochem Soc Trans, 1983, 11: 591-592
[16] Zhang K P, Zhao L, Tian J C, Chen G F, Jiang X L, Liu B. A genetic map constructed using a doubled haploid population derived from two elite chinese common wheat varieties. J Integr Plant Biol, 2008, 50: 941-950
[17] Zhang K P, Tian J C, Zhao L, Liu B, Chen G F. Detection of quantitative trait loci for heading date based on the doubled haploid progeny of two elite Chinese wheat cultivars. Genetica, 2009, 135: 257-265
[18] Zhang K-P(张坤普), Zhao L(赵亮), Hai Y(海燕), Chen G-F(陈广凤), Tian J-C(田纪春). QTL mapping for adult-plant resistance to powdery mildew, lodging resistance and internode length below spike in wheat. Acta Agron Sin (作物学报), 2008, 34(8): 1350-1357 (in Chinese with English abstract)
[19] Zhang K-P(张坤普), Xu X-B(徐宪斌), Tian J-C(田纪春). QTL mapping for grain yield and spike related traits in common wheat. Acta Agron Sin (作物学报), 2009, 35(2): 270-278 (in Chinese with English abstract)
[20] Börner A, Schumann E, Fürste A, Cöster H, Leithold B, Röder M S, Weber W E. Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat (Triticum aestivum L.). Theor Appl Genet,2002, 105: 921-936
Groos C, Robert N, Bervas E, Charmet G. Genetic analysis of grain protein-content, grain yield and thousand-kernel weight in bread wheat. Theor Appl Genet,2003, 106: 1032-1040
[1] 翟胜男, 曹新有, 李豪圣, 李吉虎, 李法计, 刘金栋, 夏先春, 吕莹莹, 马瑞峰, 王颖, 耿洪伟, 刘建军. 小麦Pod-A1Pod-D1Pod-2D位点等位变异对籽粒过氧化物酶活性的遗传效应分析[J]. 作物学报, 2026, 52(6): 1593-1603.
[2] 习千辉, 徐梓瑗, 刘梦梦, 王宏艺, 郎凯琳, 井震海, 陈锋, 赵磊. 小麦籽粒铜含量的全基因组关联分析及候选基因预测[J]. 作物学报, 2026, 52(6): 1604-1617.
[3] 毛嘉琦, 黄朋雨, 赵佳佳, 郑兴卫, 武棒棒, 郝宇琼, 屈非, 刘成, 马朋涛, 郑军. 山西小麦品种白粉病抗性评价及抗病基因分子检测[J]. 作物学报, 2026, 52(6): 1669-1681.
[4] 胡川, 赵凯男, 黄修利, 吴金芝, 任开明, 王贺正, 付国占, 黄明, 李友军. 一次灌溉下耕作方式和氮肥用量对旱地小麦产量和品质的影响[J]. 作物学报, 2026, 52(6): 1830-1846.
[5] 陈雪燕, 何华川, 李政嘉, 董新盼, 李藕琪, 刘小云, 李丹萍, 陈志伟, 刘国霞, 吕胜源, 吴印莹, 赵振东, 曹新有, 万何平. 水培盐碱复合胁迫下‘济麦60’苗期根系有机酸分泌动态变化及其转录调控机制[J]. 作物学报, 2026, 52(6): 1859-1875.
[6] 高沛阳, 李瑾璇, 董宇奎, 石玉, 张振, 张永丽. 测墒补灌下小麦分蘖发生和成穗对施氮量的响应[J]. 作物学报, 2026, 52(6): 1847-1858.
[7] 郑玉珍, 齐飞艳, 孙子淇, 刘华, 秦利, 石磊, 王娟, 汪蒙蒙, 韩锁义, 徐静, 苗利娟, 黄冰艳, 董文召, 郑峥, 张新友. 花生籽仁总超长链脂肪酸和7种脂肪酸组分的QTL定位[J]. 作物学报, 2026, 52(6): 1646-1657.
[8] 张献丰, 郭利建, 李康春, 孔斌雪, 刘玉芳, 车卓, 杨德龙. 小麦ABHD6基因家族鉴定与粒重功能标记开发[J]. 作物学报, 2026, 52(6): 1711-1727.
[9] 王壮壮, 武紫君, 张永新, 张芯源, 袁丽雪, 陈如雪, 刘世举, 段剑钊, 冯伟, 王同朝, 王永华. 豫东南黏壤潮土区水氮优化协同提高冬小麦产量和氮素利用效率[J]. 作物学报, 2026, 52(5): 1501-1521.
[10] 何万龙, 耿洪伟, 张飞飞, 米克热阿依·阿巴白克热, 罗紫洋, 李鹏程, 周钊宇, 程宇坤. 基于深度学习的小麦重要病害图像识别系统的研究[J]. 作物学报, 2026, 52(5): 1401-1417.
[11] 张振, 冯连杰, 石玉, 于振文, 张永丽. 节水补灌下不同穗型小麦产量形成差异研究[J]. 作物学报, 2026, 52(5): 1522-1535.
[12] 侯思宇, 王国璀, 韦金贵, 谢玮欣, 殷文, 樊志龙, 柴强, 胡发龙. 绿肥配施化学氮肥对西北干旱灌区小麦干物质积累及产量形成的影响[J]. 作物学报, 2026, 52(4): 1208-1219.
[13] 尚云秋, 赵竹, 陈欢, 丁永刚, 乔玉强, 李玮, 张向前, 曹承富, 杜世州. 长期定位耕作方式对雨养小麦籽粒灌浆和产量形成的影响[J]. 作物学报, 2026, 52(4): 1236-1250.
[14] 乔宇馨, 李程越, 康晓玉, 张鑫琪, 贾绍辉, 刘倩, 曹亚丽, 史鑫蕊, 郝兴宇, 李萍. 基于APSIM模型的长期免耕秸秆覆盖对旱地小麦增产效应研究[J]. 作物学报, 2026, 52(4): 1181-1192.
[15] 李灿, 张喜伟, 朱博涛, 张沛沛. 小麦GSK激酶TaSK41的功能分析及互作蛋白的筛选[J]. 作物学报, 2026, 52(3): 677-687.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!