欢迎访问作物学报,今天是

作物学报 ›› 2017, Vol. 43 ›› Issue (12): 1784-1790.doi: 10.3724/SP.J.1006.2017.01784

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

基于陆地棉背景的海岛棉染色体片段导入系产量性状QTL定位

朱协飞**,王鹏**,司占峰,张天真*   

  1. 南京农业大学棉花研究所 / 作物遗传与种质创新国家重点实验室,江苏南京 210095
  • 收稿日期:2016-12-31 修回日期:2017-09-10 出版日期:2017-12-12 网络出版日期:2017-09-28
  • 基金资助:

    本研究由国家现代农业产业技术体系建设专项(CARS-18-01)和国家重点研发计划项目(2016YFD0101400)专项经费资助。

QTL Mapping for Yield Components in Gossypium barbadense Chromosome Segment Introgression Lines Based on Gossypium hirsutum Background

ZHU Xie-Fei**, WANG Peng**, SI Zhan-Feng,ZHANG Tian-Zhen*   

  1. Cotton Institute, Nanjing Agricultural University / State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing 210095, China
  • Received:2016-12-31 Revised:2017-09-10 Published:2017-12-12 Published online:2017-09-28
  • Supported by:

    This study was supported by China Agriculture Research System (CARS-18-01) and the National Key R&D Program (2016YFD0101400).

摘要:

棉花产量分为籽棉产量和皮棉产量,其中高皮棉产量总是育种的首要目标。皮棉产量由单株铃数、衣分、单铃重等因素组成。其中衣分在各因素中的遗传率最高,同时也是产量育种中重要的选择指标。育种中利用分离群体对单株铃数、铃重等产量性状选择受环境影响较大。利用染色体片段导入系进行铃数、铃重等产量性状的定位,定向改良产量性状,是棉花分子设计育种的有效方法。本研究利用陆地棉TM-1为轮回亲本和海岛棉海7124为非轮回亲本构建了一套陆地棉背景的染色体片段导入系,并在7个环境的田间试验下,鉴定了它们的产量表现,定位了28个与单株铃数、铃重、衣分和籽指相关的QTL。其中,在Dt亚组染色体上鉴定出的产量性状QTL多于在At亚组染色体上鉴定出的。28个QTL中,加性效应为正的16个,加性效应为负的12个,表明海岛棉不同的导入片段效应不同,有的片段可以提高陆地棉产量,有的则降低陆地棉产量。在6个环境下,导入系IL008 (特征标记NAU2573和NAU3576)的衣分均显著高于轮回亲本TM-1,因此IL008可以应用于棉花分子育种,定向改良陆地棉的衣分。

关键词: 导入系, 产量, QTL定位, 加性效应

Abstract:

Cotton yield is divided into seed cotton yield and lint yield. High lint yield is always the primary breeding goal in cotton. Lint yield consists of three components, including boll number per plant, lint percentage and boll weight. Of them, lint percentage has the highest heritability and is a most important target in breeding for increasing lint yield. Selection of yield components such as boll number and boll weight is easily affected by environmental factors in temporary segregating populations. It is testified that it is one of efficient methods to map the yield component QTLs and develop the elite lines in molecular breeding by using chromosome segment introgression lines (CSILs). In the present study, we developed a set of CSILs using G. hirsutumacc TM-1 as a recurrent parent and G. barbadense cv. Hai 7124 as a non-recurrent parent through the molecular markers assisted-selection. Here, we identified 28 QTLs for yield components under seven environments. Much more QTLs were enriched on Dt subgenome than on At subgenome. The chromosome segments introgressed from G. barbadense have different effects on yields in G. hirsutum background. There were 16 QTLs showing positive additive effects, implying these chromosome segments introgressed from G. barbadense could be used to improve yield components, while 12 QTLs showing negative additive effects, decreasing yield components. Lint percentage in IL008 line anchored with the SSR markers NAU2573 and NAU3576 was significantly higher than that of the recurrent parent TM-1 under six environments. Therefore, the CSIL IL008 could be used in molecular breeding to improve the lint yield in G. hirsutum.

Key words: CSILs, Yield, QTL mapping, Additive Effect

[1]Jiang C X, Wright R J, El-Zik K, Paterson A H. Polyploid formation created unique avenues for response to selection in Gossypium (cotton). Proc Natl Acad Sci USA, 1998, 95: 4419–4424 [2]Eshed Y, Zamir D. An introgression line population of Lycopersicon pennellii in the cultivated tomato enables the identification and fine mapping of yield-associated QTL. Genetics, 1995, 141: 1147–1162 [3]Doi K, Wata N, Yoshimura A. The construction of chromosome substitution lines of African rice (Oryza glaberrima Steud.) in the background of japonica rice (O. sativa L.). Rice Genet Newsl, 1997, 14: 39–41 [4]王立秋, 赵永锋, 薛亚东, 张祖新, 郑用琏, 陈景堂. 玉米衔接式单片段导入系群体的构建和评价. 作物学报, 2007, 33: 663–668 Wang L Q, Zhao Y F, Xue Y D, Zhang Z X, Zheng Y L, Chen J T. Development and evaluation of two link-up single segment introgression lines (SSILs) in Zea mays. Acta Agron Sin, 2007, 33: 663–668 (in Chinese with English abstract) [5]Liu G M, Li W T, Zeng R Z, Zhang, G Q. Development of single segment substitution lines (SSSLs) of subspecies in rice. Chin J Rice Sci, 2003, 17:201-204 [6]Von K M, Wang H, Léon J, Pillen K. Development of candidate introgression lines using an exotic barley accession (Hordeumvul gare ssp. spontaneum) as donor. Theor Appl Genet , 2004, 109: 1736–1745 [7]Howell P M, Marshall D F, Lydiate D J. Towards developing intervarietal substitution lines in Brassica napus using marker-assisted selection. Genome, 1996, 39: 248–358 [8]Guo W Z, Cai C P, Wang C B, Zhao L, Wang L, Zhang TZ. A preliminary analysis of genome structure and composition in Gossypium hirsutum. BMC Genomics, 2008, 9: 314–331 [9]Kohel R J, Lewis C F, Richmond T R. Texas marker-1: description of a genetic standard for Gossypium hirsutum L. Crop Sci, 1970, 10: 670–671 [10]潘家驹. 棉花育种学. 中国农业出版社, 1998 Pan J J. Cotton Breeding. China Agriculture Press, 1998 (in Chinese) [11]Yang C, Guo W Z, Li G Y, Gao F, Lin S S, Zhang T Z. QTLs mapping for Verticillium wilt resistance at seedling and maturity stages for in G. barbadense L. Plant Sci, 2008, 174: 290–298 [12]Wang P, Ding Y Z, Lu Q X. Development of Gossypium barbadense chromosome segment substitution lines in the genetic standard line TM-1 of Gossypium hirsutum. Sci Bull, 53: 1512–1517 [13]Wang J K, Wan X Y, Crossa J, Crouch J, Weng J F, Zhai H Q, Wan J M. QTL mapping of grain length in rice (Oryza sativa L.) using chromosome segment substitution lines. Genet Res, 2006, 88: 93–104 [14]Wang J K, Wan X Y, Li H H, Pfeiffer W H, Crouch J, Wan J M. Application of identified QTL-marker associations in rice quality improvement through a design-breeding approach. Theor Appl Genet, 2007, 115: 87–100 [15]McCouch S R, Cho Y G, Yano M, Paule E, Blinstrue M, Morishima H M, Kinosita T. Report on QTL nomenclature. Rice Genet Newsl, 1997, 14: 11–13 [16]Ren L H, Guo W Z, Zhang T Z. Identification of quantitative trait loci (QTLs) affecting yield and fiber properties in chromosome 16 in cotton using substitution line. Acta Bot Sin, 2002, 44, 7: 815–820 [17]Wu M Q, Zhang X L, Nie Y C, He D H. Localization of QTLs for yield and fiber quality traits of tetraploid cotton cultivar. J Genet Genomics, 2003, 30: 443–452 [18]Rong J K, Alex Feltus F, Waghmare V N, Pierce G J, Chee P W, Draye X, Saranga Y, Wright R J, Wilkins T A, May O L, Smith C W, Gannaway J R, Wendel J F, Paterson A H. Meta-analysis of polyploid cotton QTL shows unequal contributions of subgenomes to a complex network of genes and gene clusters implicated in lint fiber development. Genetics, 2007, 176: 2577–2588 [19]Paterson A H, Saranga Y, Menz M, Jiang C X, Wright R J. QTL analysis of genotype × environment interaction affecting cot ton fiber quality. Theor Appl Genet, 2003, 6: 384–396 [20]Wang P, Zhu Y J, Song X L, Cao Z B, Ding Y Z, Liu B L, Zhu X F, Wang S, Guo W Z, Zhang T Z. Genetic dissection of long staple fiber qualities in Gossypium barbadense using inter-specific chromosome segment introgression lines. Theor Appl Genet, 2012,124: 1415–1428 [21]Ebitani T, Takeuchi Y, Nonoue Y, Yamamoto T, Takeuchi K, Yano M. Construction and evaluation of chromosome segment substitution lines carrying overlapping chromosome segments of indica rice cultivar ‘Kasalath’ in a genetic background of japonica elite cultivar ‘Koshihikari’ . Breed Sci, 2005, 55: 65–73 [22]万建民. 作物分子设计育种. 作物学报, 2006, 32: 455–462 Wan J M. Perspectives of molecular design breeding in crops. Acta Agron Sin, 2006, 32: 455–462 [23]Xi Z Y, He F H, Zeng R Z, Zhang Z M, Ding X H, Li W T, Zhang G Q. Development of a wide population of chromosome single-segment substitution lines in the background of an elite cultivar of rice (Oryza sativa L.). Genome, 2006, 49: 476–484 [24]Wang B H, Guo W Z, Zhu X F, Wu Y T, Huang N T, Zhang T Z. QTL Mapping of yield and yield components for elite hybrid derived-RILs in Upland cotton. J Genet Genomics, 2007, 34: 35–45 [25]Cao Z B, Wang P, Zhu X F, Chen H, Zhang T Z. SSR marker assisted improvement of fiber qualities in Gossypium hirsutum using G. barbadense introgression lines. Theor Appl Genet, 2014, 127: 587–594

[1] 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.
[2] 马胜乾, 王志平, 陈浩天, 窦淑贤, 张燕, 邓艾兴, 张卫建, 原向阳, 宋振伟. 秸秆还田下耕作方式与氮肥施用量对东北玉米产量及土壤团聚体的影响[J]. 作物学报, 2026, 52(6): 1802-1816.
[3] 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.
[4] 张思思, 赵向辉, 周洋, 姚云凤, 朱荣昱, 董元杰, 胡国庆, 徐通, 刘兆新. 冬闲期翻耕和绿肥还田对连作花生田土壤理化性质和产量的影响[J]. 作物学报, 2026, 52(5): 1472-1486.
[5] 张宁宁, 滕雨菲, 任娜娜, 魏兴卓, 闫书豪, 樊可心, 王永宏, 陈文康, 张兴华, 朱万超, 徐淑兔, 薛吉全. 201份玉米自交系抗旱表型评价及可塑性分析[J]. 作物学报, 2026, 52(5): 1309-1325.
[6] 王宇诚, 张露, 刘阿康, 黄见良, 彭少兵, 袁珅. 基于产量差的作物大面积单产提升策略与展望[J]. 作物学报, 2026, 52(5): 1279-1290.
[7] 赵佳雪, 周龙昊, 郭岂源, 尚伦霄, 王涵, 刘志涛, 陈曦, 张晓佩, 宋宪亮, 毛丽丽. 长期秸秆还田与深松通过改善土壤环境与棉花光合特性提高滨海盐碱地棉花产量[J]. 作物学报, 2026, 52(5): 1548-1560.
[8] 郭星宇, 胡丹, 林苏期, 王梦凯, 谭文峰, 黄传琴. 生物炭配施化肥提高玉米‖大豆下玉米产量和土壤生态系统多功能性[J]. 作物学报, 2026, 52(5): 1536-1547.
[9] 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.
[10] 闫安, 蒋昆炜, 王蓉圆, 田林, 张璐, 王韵, 徐建龙. 水稻剑叶小维管束数基因SVN7的鉴定与克隆[J]. 作物学报, 2026, 52(5): 1364-1372.
[11] 刘昕萌, 任昊, 张继波, 张吉旺, 赵斌, 任佰朝, 刘鹏, 王洪章. 茉莉酸甲酯(MeJA)缓解高温影响玉米雌穗分化的生理机制[J]. 作物学报, 2026, 52(5): 1561-1572.
[12] 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.
[13] 张鸿蓉, 王菲儿, 李盼, 仇海龙, 朱静, 赵连豪, 南运有, 何蔚, 樊志龙, 胡发龙, 柴强, 殷文. 减量20%灌水与25%有机肥替代化肥提高青贮玉米产量的光合特性[J]. 作物学报, 2026, 52(5): 1487-1500.
[14] 蔡宏玮, 于爱忠, 姜科强, 王鹏飞, 王玉珑, 霍建喆, 庞小能, 尹波, 尚永盼. 干旱灌区有机肥替代部分化肥促进甜玉米产量提升的关键机制[J]. 作物学报, 2026, 52(4): 1166-1180.
[15] 崔雪梅, 柳妍娣, 刘景辉, 米俊珍, 武俊英, 赵宝平. 不同基因型燕麦强弱势粒生理特性与产量关系研究[J]. 作物学报, 2026, 52(4): 1220-1235.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!