欢迎访问作物学报，今天是
作物学报

作物学报 ›› 2017, Vol. 43 ›› Issue (01): 19-30.doi: 10.3724/SP.J.1006.2017.00019

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

向日葵高密度遗传连锁图谱构建及两种水分条件下芽期性状的QTL分析

吕品1,于海峰2,于志贤1,张永虎2,张艳芳2,王婷婷1,侯建华1,*   

  1. 1内蒙古农业大学，内蒙古呼和浩特 010019; 2内蒙古农牧业科学院, 内蒙古呼和浩特 010031?
  • 收稿日期:2016-03-09 修回日期:2016-09-18 出版日期:2017-01-12 网络出版日期:2016-09-28
  • 通讯作者: 侯建华, E-mail: houjh68@163.com
  • 基金资助:

    本研究由国家自然科学基金项目(31160288, 31540043)资助。

Construction of High-density Genetic Map and QTL Mapping for Seed Germination Traits in Sunflower under Two Water Conditions

LYU Pin1,YU Hai-Feng2,YU Zhi-Xian1,ZHANG Yong-Hu2,ZHANG Yan-Fang2,WANG Ting-Ting1,HOU Jian-Hua1,*   

  1. 1 Inner Mongolia Agricultural University, Huhhot 010010, China; 2 Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Huhhot 010031, China
  • Received:2016-03-09 Revised:2016-09-18 Published:2017-01-12 Published online:2016-09-28
  • Contact: 侯建华, E-mail: houjh68@163.com
  • Supported by:

    The study was supported by the National Natural Science Foundation of China (31160288, 31540043).

RichHTML

PDF

528

被引次数

4

摘要：

干旱胁迫对向日葵发芽出苗有重要影响。以K55×K58组合衍生的187个F6重组自交系为材料，利用SSR、SRAP、AFLP标记构建向日葵高密度遗传连锁图谱，设置正常水分(CK)和模拟干旱(18%聚乙二醇PEG-6000)两种水分条件，调查9个芽期数量性状，PCR扩增株系，构建一张包含17个连锁群、1105个标记(368个SSR、368个SRAP和369个AFLP)的高密度遗传连锁图谱。该图谱覆盖基因组长度3846.0 cM，平均图距3.48 cM，连锁群长度147.6~295.5 cM，每个连锁群标记数10~165个。两种条件下检测到33个QTL，其中干旱条件下检测到发芽指数、发芽率、胚芽长、胚根长、胚芽鲜重和胚根鲜重6个性状的14个QTL，可解释6.1%~14.0%的表型变异；正常水分(CK)条件下检测到发芽势、胚根长、胚芽鲜重、胚根鲜重、胚根干重和胚芽干重6个性状的19个QTL，可解释6.1%~25.8%的表型变异。两种水分条件下检测到Qefw5-1、Qefw5-2、Qefw5-4、Qrfw5、Qrfw10和Qrl9共6个QTL的遗传贡献率超过10%，此外，还检测到9个影响干旱胁迫与正常水分条件下性状差值的QTL，可能对抗旱性有直接贡献。这些QTL可为向日葵芽期抗旱分子设计育种研究提供重要参考。

关键词: 向日葵, 遗传连锁图谱, 耐旱性, 芽期性状, QTL

Abstract:

Seed germination and emergence of sunflower are seriously affected by water stress. In this study, SSR, SRAP, and AFLP markers were applied to construct a genetic linkage map by using the F6 population derived from a cross of K55 (drought sensitive) ´ K58 (drought resistant). For mapping quantitative trait loci (QTLs) for nine traits of seed germination in sunflower,the parents and 187 F6 family lines were used to investigate seed germination traits under normal condition (CK) and 18% polyethylene glycol (PEG-6000) (drought stress). A genetic map consisting of 17 linkage groups was constructed with 1105 loci (368 SSR, 369 SRAP, 333 AFLP) which covers 3846.0 cM and the length of each linkage group varies from 147.6 to 295.5 cM, the number of markers in each linkage group varies from 10 to 165 with an average distance of 3.481 cM. As a result, a total of 33 QTLs were detected. We identified fourteen additive QTLs for germination index (GI), germination rate (GR), embryo length (EL), radicle length (RL), embryo fresh weight (EFW), radicle fresh weight (RFW) under18% PEG condition with explained phenotypic variance ranging from 6.1% to 14.0%. Nineteen additive QTLs were identified for germination energy(GE), radicle length (RL), embryo fresh weight (EFW), radicle fresh weight (RFW), embryo dry weight (EDW), radicle dry weight (RDW) under normal condition with explained phenotypic variance ranging from 6.1% to 25.8%. Each ofQefw5-2, Qefw5-1, Qefw5-4, Qrfw10, Qrfw5, and Qrl9could explain phenotypic variance over 10%. Nine QTLs affecting trait differences between stress treatment and control were identified, which are considered to directly contribute to drought tolerance. These QTLs identified could provide important reference to molecular breeding for drought-resistance during seed germination in sunflower.

Key words: Sunflower, Genetic linkage map, Drought tolerance, Seed germination traits, QTL

[1] 刘天鹏, 董孔军, 何继红, 任瑞玉, 张磊, 杨天育. 糜子育成品种芽期抗旱性鉴定与评价研究. 植物遗传资源学报, 2014, 15: 746–752
Liu T P, Dong K J, He J H, Ren R Y, Zhang L, Yang T Y. Identification and evaluation on the drought resistance of broomcorn millet bred cultivars at germinating stage. J Plant Genet Resour, 2014, 15:746–752 (in Chinese with English abstract)
[2] Al-Chaarani G R, Gentzbittel L, Wedzony M, Sarrafi A. Identification of QTLs for germination and seedling development in sunflower (Helianthus annuus L.). Plant Sci, 2005, 6: 1–7
 [3] Davar R, Majd A, Darvishzadeh R, Sarrafi A. Mapping quantitative trait loci for seedling vigour and development in sunflower (Helianthus annuus L.) using recombinant inbred line population. Plant Omics J, 2001, 4: 418–427
[4] 袁倩倩, 李卓坤, 田纪春, 韩淑晓. 不同水分胁迫下小麦胚芽鞘和胚根长度的QTL分析. 作物学报, 2011, 37: 294–301
Yuan Q Q, Li Z K, Tian J C, Han S X. QTL Mapping for coleoptile length and radicle length in wheat under different simulated moisture stresses. Acta Agron Sin, 2011, 37: 294–301
[5] Rex Bernardo. Molecular markers and selection for complex traits in plants: learning from the last 20 years. Crop Sci, 2008, 48: 1649–1664
[6] Rieseberg L H, Choi H, Chan R. Genomic map of a diploid hybrid species. Heredity,1993, 70: 285–293
[7] Tang S, Yu J K, Slabaugh M B, Shintani D K, Knapp S J. Simple sequence repeat map of the sunflower genome. Theor Appl Genet, 2002, 105: 1124–1136
[8] Bowers J E, Bachlava E, Brunick R L, Rieseberg L H, Knapp S J, Burke J M. Development of a 10,000 locus genetic map of the sunflower genome based on multiple crosses. Genom Genet, 2012:71–729
[9] Talukder Z I, Gong L, Hulke B S, Pegadaraju V, Song Q J, Schultz Q, Qi L. A high-density SNP map of sunflower derived from RAD-sequencing facilitating fine-mapping of the rust resistance gene R12. PLoS One, 2014, 7: 1–14
[10] 黄先群, Genzbitelle L, Fabre F, Saraffi A. SSR分子标记丰富向日葵(Helianthus annuus L.)遗传图谱的研究. 西南农业学报, 2012, 25: 1031–1038
Hang X Q, Genzbitelle L, Fabre F, Saraffi A. Indication of genetic linkage map for sunflower by SSR markers. Southwest China J Agric Sci, 2012, 25: 1031–1038 (in Chinese with English abstract)
[11] 张永虎, 于海峰, 侯建华, 李素萍, 吕品, 于志贤. 利用向日葵重组自交系构建遗传图谱. 遗传, 2014, 36: 1036–1042
Zhang Y H, Yu H F, Hou J H, Li S P, Lü P, Yu Z X. Construction of a genetic map of sunflower using a population of recombinant inbred lines (RILs), Hereditas, 2014, 36: 1036–1042 (in Chinese with English abstract)
[12] Abdi N, Darvishzadeh R, Jafari1 M, Pirzad A, Haddadi P. Genetic analysis and QTL mapping of agro-morphological traits in sunflower (Helianthus annuus L.) under two contrasting water treatment conditions. Plant Omics J, 2012, 5: 149–158
[13] Haddadi P, Yazdi-samadi B, Naghavi M R, Kalantari A, Maury P, Sarrafi A. QTL analysis of agronomic traits in recombinant inbred lines of sunflower under partial irrigation. Plant Biotechnol Rep, 2011, 5: 135–146
[14] Adiredjo A L, Navaud O, Munos S, Langlade N B, Lamaze T, Grieu P. Genetic control of water use efficiency and leaf carbon isotope discrimination in sunflower (Helianthus annuu L.) subjected to two drought scenarios. PLoS One, 2014, 10.1371/journal.pone.0101218
[15] 陈雪, 于海峰, 侯建华, 安玉麟. 向日葵芽期、苗期抗旱性鉴定方法研究. 中国油料作物报, 2009, 31: 344–348
Chen X, Yu H F, Hou J H, An Y L. Drought resistance of sunflower in bud and seedling emergences stage. Chin J Oil Crop Sci, 2009, 31: 344–348 (in Chinese with English abstract)
[16] Paniego N, Echaide M, Muñoz M, Fernandez L, Torales S, Faccio P, Fuxan I, Carrera M, Zandomeni R, Suarez E Y, Hopp H E. Microsatellite isolation and characterization in sunflower (Helianthus annuus L.). Genome, 2002, 45: 34–43
[17] Li G, Quiros C F. Sequence-related amplified polymorphism (SRAP), a new marker system based on a simple PCR reaction: its application to mapping and gene tagging in Brassica. Theor Appl Genet, 2001, 103: 455–461
[18] 房冬梅, 吕品, 侯建华. 油葵SSR-PCR反应体系的优化及引物筛选. 中国农学通报, 2015, 31: 205–209
Fang D M, Lü P, Hou J H. Optimization of SSR-PCR reaction system and primer screening in oil sunflower. Chin Agric Sci Bull, 2001, 103: 455–461 (in Chinese with English abstract)
[19] 于志贤, 侯建华. 油葵SRAP-PCR反应体系的建立与优化. 中国农学通报, 2013, 29: 296–301
Yu Z X, Hou J H. Establishment and optimization of SRAP-PCR reaction system in sunflower. Chin Agric Sci Bull, 2013, 29: 296–301 (in Chinese with English abstract)
[20] 昝逢刚, 吴才文, 陈学宽, 赵培方, 赵俊, 刘家勇. 118份甘蔗种质资源遗传多样性的AFLP分析. 作物学报, 2014, 40: 1877–1883
Zan F G, Wu C W, Chen X K, Zhao P F, Zhao J, Liu J Y. Genetic diversity of 118 sugarcane germplasm using AFLP markers. Acta Agron Sin, 2014, 40: 1877–1883 (in Chinese with English abstract)
[21] 李媛媛, 沈金雄, 王同华, 傅廷栋, 马朝芝. 利用SRAP、SSR和AFLP标记构建甘蓝型油菜遗传连锁图谱. 中国农业科学, 2007, 40: 1118–1126
Li Y Y, Shen J X, Wang T H, Fu T D, Ma C Z. Construction of a linkage map using SRAP, SSR and AFLP markers in Brassica napus L. Sci Agric Sin, 2007, 40: 1118–1126 (in Chinese with English abstract)
[22] 吴传书, 王丽侠, 王素华, 陈红霖, 吴健新, 程须珍, 杨晓明. 绿豆高密度分子遗传图谱的构建. 中国农业科学, 2014, 47: 2088–2098
Wu C S, Wang L X, Wang S H, Chen H L, Wu J X, Cheng X Z, Yang X M. Construction of a genetic linkage map in mungbean. Sci Agric Sin, 2014, 47: 2088–2098 (in Chinese with English abstract)
[23] 王茂芊, 李博, 王华忠. 甜菜遗传连锁图谱初步构建. 作物学报, 2014, 40: 222−230
Wang M Q, Li B, Wang H Z. Construction of molecular genetic linkage map of sugarbeet. Acta Agron Sin, 2014, 40: 222−230
[24] 赵秀琴, 朱苓华, 徐建龙. 灌溉与自然降雨条件下水稻高代回交导入系产量QTL的定位. 作物学报, 2007, 33: 1536–1542
Zhao X Q, Zhu L H, Xu J L, Li Z K. QTL Mapping of yield under irrigation and rainfed field conditions for advanced backcrossing introgression lines in rice. Acta Agron Sin, 2007, 33: 1536–1542 (in Chinese with English abstract)
[25] 彭勃, 王阳, 李永祥, 刘成, 刘志斋, 王迪, 谭巍巍, 张岩, 孙宝成, 石云素, 宋燕春, 王天宇, 黎裕. 不同水分环境下玉米产量构成因子及籽粒相关性状的QTL分析. 作物学报, 2010, 36: 1832–1842
Peng B, Wang Y, Li Y X, Liu C, Liu Z Z, Wang D, Tan W W, Zhang Y, Sun B C, Shi Y S, Song Y C, Wang T Y, Li Y. QTL Analysis for yield components and kernel-related traits in maize under different water regimes. Acta Agron Sin, 2010, 36: 1832–1842 (in Chinese with English abstract)
[26] 谭巍巍, 李永祥, 王阳, 刘成, 刘志斋, 彭勃, 王迪, 张岩, 孙宝成, 石云素, 宋燕春, 杨德光, 王天宇, 黎裕. 在干旱和正常水分条件下玉米穗部性状QTL分析. 作物学报, 2011, 37: 235–248
Tan W W, Li Y X, Wang Y, Liu C, Liu Z Z, Peng B, Wang D, Zhang Y, Sun B C, Shi Y S, Song Y C, Yang D G, Wang T Y, Li Y. QTL Mapping of ear traits of maize under different water regimes. Acta Agron Sin, 2008, 34: 1199–1205 (in Chinese with English abstract)
[27] 吴亚辉, 陶星星, 肖武名, 郭涛, 刘永柱, 王慧, 陈志强. 水稻穗部性状的QTL分析. 作物学报, 2014, 40: 214–221
Wu Y H, Tao X X, Xiao W M, Guo T, Liu Y Z, Wang H, Chen Z Q. Dissection of QTLs for panicle traits in rice (Oryza sativa). Acta Agron Sin, 2014, 40: 214–221 (in Chinese with English abstract)
[1] 胡文静, 李东升, 裔新, 张春梅, 张勇. 小麦穗部性状和株高的QTL定位及育种标记开发和验证[J]. 作物学报, 2022, 48(6): 1346-1356.
[2] 于春淼, 张勇, 王好让, 杨兴勇, 董全中, 薛红, 张明明, 李微微, 王磊, 胡凯凤, 谷勇哲, 邱丽娟. 栽培大豆×半野生大豆高密度遗传图谱构建及株高QTL定位[J]. 作物学报, 2022, 48(5): 1091-1102.
[3] 张艳波, 王袁, 冯甘雨, 段慧蓉, 刘海英. 棉籽油分和3种主要脂肪酸含量QTL分析[J]. 作物学报, 2022, 48(2): 380-395.
[4] 张波, 裴瑞琴, 杨维丰, 朱海涛, 刘桂富, 张桂权, 王少奎. 利用单片段代换系鉴定巴西陆稻IAPAR9中的粒型基因[J]. 作物学报, 2021, 47(8): 1472-1480.
[5] 罗兰, 雷丽霞, 刘进, 张瑞华, 金桂秀, 崔迪, 黎毛毛, 马小定, 赵正武, 韩龙植. 利用东乡普通野生稻染色体片段置换系定位产量相关性状QTL[J]. 作物学报, 2021, 47(7): 1391-1401.
[6] 韩玉洲, 张勇, 杨阳, 顾正中, 吴科, 谢全, 孔忠新, 贾海燕, 马正强. 小麦株高QTL Qph.nau-5B的效应评价[J]. 作物学报, 2021, 47(6): 1188-1196.
[7] 周新桐, 郭青青, 陈雪, 李加纳, 王瑞. GBS高密度遗传连锁图谱定位甘蓝型油菜粉色花性状[J]. 作物学报, 2021, 47(4): 587-598.
[8] 李书宇, 黄杨, 熊洁, 丁戈, 陈伦林, 宋来强. 甘蓝型油菜早熟性状QTL定位及候选基因筛选[J]. 作物学报, 2021, 47(4): 626-637.
[9] 沈文强, 赵冰冰, 于国玲, 李凤菲, 朱小燕, 马福盈, 李云峰, 何光华, 赵芳明. 优良水稻染色体片段代换系Z746的鉴定及重要农艺性状QTL定位及其验证[J]. 作物学报, 2021, 47(3): 451-461.
[10] 蒙姜宇, 梁光伟, 贺亚军, 钱伟. 甘蓝型油菜耐盐和耐旱相关性状的QTL分析[J]. 作物学报, 2021, 47(3): 462-471.
[11] 王瑞莉, 王刘艳, 雷维, 吴家怡, 史红松, 李晨阳, 唐章林, 李加纳, 周清元, 崔翠. 结合RNA-seq分析和QTL定位筛选甘蓝型油菜萌发期与铝毒胁迫相关的候选基因[J]. 作物学报, 2021, 47(12): 2407-2422.
[12] 吕国锋, 别同德, 王慧, 赵仁慧, 范金平, 张伯桥, 吴素兰, 王玲, 汪尊杰, 高德荣. 长江下游麦区新育成品种(系) 3种主要病害的抗性鉴定及抗病基因/ QTL的分子检测[J]. 作物学报, 2021, 47(12): 2335-2347.
[13] 马猛, 闫会, 高闰飞, 后猛, 唐维, 王欣, 张允刚, 李强. 紫甘薯SSR标记遗传图谱构建与重要农艺性状QTL定位[J]. 作物学报, 2021, 47(11): 2147-2162.
[14] 孟鑫浩, 张靖男, 崔顺立, Charles Y.Chen, 穆国俊, 侯名语, 杨鑫雷, 刘立峰. 花生荚果与种子相关性状QTL定位及与环境互作分析[J]. 作物学报, 2021, 47(10): 1874-1890.
[15] 李竟才, 王强林, 宋威武, 黄维, 肖桂林, 吴承金, 顾钦, 宋波涛. 基于侯选基因标记的四倍体马铃薯休眠QTL关联分析[J]. 作物学报, 2020, 46(9): 1380-1387.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备15008789号-2