Crops ›› 2017, Vol. 33 ›› Issue (5): 21-25.doi: 10.16035/j.issn.1001-7283.2017.05.004

Previous Articles     Next Articles

Research Progress on Improvement for Verticillium Wilt Resistance by Molecular Marker-Assisted Selection in Cotton

Feng Changhui,Zhang Youchang,Bie Shu,Zhang Jiaohai,Wang Xiaogang,Xia Songbo,Zhang Cheng,Qin Hongde   

  1. Institute of Industrial Crops,Hubei Academy of Agricultural Sciences/Key Laboratory of Cotton Biology and Genetic Breeding in the Middle Reaches of the Changjiang River,Ministry of Agriculture,P.R.China,Wuhan 430070,Hubei,China
  • Received:2017-05-19 Revised:2017-07-06 Online:2017-10-15 Published:2018-08-26
  • Contact: Hongde Qin

RichHTML

3

PDF (PC)

126

Abstract:

Cotton Verticillium wilt caused by Verticillium dahliae Kleb. has become one of the main impediments to cotton sustainable production in China．Molecular marker-assisted selection (MAS) can transform traditional phenotypic selection into direct genotypic selection to improve the efficiency of selection. However, insufficient progress has been made in research to apply molecular markers to MAS of cotton Verticillium wilt resistance. This paper was devoted to make a detailed review that focused on the progresses on improvement for Verticillium wilt resistance by MAS in cotton. Moreover, the problems encountered in practical application of improvement for Verticillium wilt resistance by MAS were discussed emphatically. The promise of MAS in breed for resistance to Verticillium wilt was also discussed in this review. So these research summary might provide very important information for the molecular breeding of resistance to Verticillium wilt of cotton in China.

Key words: Cotton, Marker-assisted selection, Verticillium wilt, Molecular marker

[1] Fradin E F, Thomma B P . Physiology and molecular aspects of Verticillium wilt diseases caused by V.dahliae and V.albo-atrum. Molecular Plant Pathology, 2006,7(2):71-86.
doi: 10.1111/mpp.2006.7.issue-2
[2] Mohan M, Nair S, Bhagwat A , et al. Genome mapping,molecular markers and marker-assisted selection in crop plants. Molecular Breeding, 1997,3(2):87-103.
doi: 10.1023/A:1009651919792
[3] 王芙蓉, 刘任重, 王留明 , 等. 陆地棉品种抗黄萎病性状的分子标记及其辅助选择效果. 棉花学报, 2007,19(6):424-430.
doi: 10.3969/j.issn.1002-7807.2007.06.002
[4] Guo X H, Cai C P, Yuan D D , et al. Development and identification of Verticillium wilt-resistant upland cotton accessions by pyramiding QTL related to resistance. Journal of Integrative Agriculture, 2016,15(3):512-520.
doi: 10.1016/S2095-3119(15)61083-8
[5] Ribaut J M, Hoisington D . Marker-assisted selection:New tools and strategies. Trends in Plant Science, 1998,3:236-239.
doi: 10.1016/S1360-1385(98)01240-0
[6] 石玉真, 刘爱英, 李俊文 , 等. 与棉花纤维强度连锁的主效QTL应用于棉花分子标记辅助育种. 分子植物育种, 2007,5(4):521-527.
[7] 张保才 . AB-QTL法定位海岛棉优异纤维品质基因和抗黄萎病基因. 北京:中国农业科学院, 2006.
[8] 吴翠翠, 简桂良, 王安乐 , 等. 棉花抗黄萎病 QTL 初步定位. 分子植物育种, 2010,8(4):680-686.
[9] Ning Z Y, Zhao R, Chen H , et al. Molecular tagging of a major quantitative trait locus for broad-spectrum resistance to Verticillium wilt in upland cotton cultivar Prema. Crop Science, 2013,53:2304-2312.
doi: 10.2135/cropsci2012.12.0694
[10] 齐俊生, 马存, 张元恩 , 等. 海岛棉抗黄萎病基因的AFLP分子标记. 植物病理学报, 2001,31(s):63-68.
[11] 高玉千, 聂以春, 张献龙 . 棉花抗黄萎病基因的QTL定位. 棉花学报, 2003,15(2):73-78.
[12] Yang C, Guo W Z, Li G J , et al. QTLs mapping for Verticillium wilt resistance at seedling and maturity stages in Gossypium barbadense L. Plant Science, 2008,174:290-298.
doi: 10.1016/j.plantsci.2007.11.016
[13] 王红梅, 张献龙, 贺道华 , 等. 陆地棉对黄萎病抗性的分子标记研究. 植物病理学报, 2005,35(4):333-339.
doi: 10.3321/j.issn:0412-0914.2005.04.009
[14] Fang H, Zhou H P, Sanogo S , et al. Quantitative trait locus analysis of Verticillium wilt resistance in an introgressed recombinant inbred population of upland cotton. Molecular Breeding, 2014,33:709-720.
doi: 10.1007/s11032-013-9987-9
[15] Abdurakhmonov I Y, Saha S, Jenkins J N , et al. Linkage disequilibrium based association mapping of fiber quality traits in G.hirsutum L.variety germplasm. Genetica, 2009,136:401-417.
doi: 10.1007/s10709-008-9337-8
[16] 郭志军, 赵云雷, 陈伟 , 等. 陆地棉SSR标记遗传多样性及其与农艺性状的关联分析. 棉花学报, 2014,26(5):420-430.
[17] Zhao Y L, Wang H M, Chen W , et al. Genetic structure,linkage disequilibrium and association mapping of Verticillium wilt resistance in elite cotton (Gossypium hirsutum L.) germplasm population. Plos One, 2014,9(1):e86308.
doi: 10.1371/journal.pone.0086308
[18] 潘晓飚, 陈凯, 张强 , 等. 分子标记辅助选育水稻抗白叶枯病和稻瘟病多基因聚合恢复系. 作物学报, 2013,39(9):1582-1593.
doi: 10.3724/SP.J.1006.2013.01582
[19] 李莉, 邢跃先, 赵贤容 , 等. 利用分子标记辅助选择技术提高玉米对丝黑穗病的抗性. 植物保护学报, 2012,39(4):304-307.
[20] 高安礼, 何华纲, 陈全战 , 等. 分子标记辅助选择小麦抗白粉病基因Pm2、Pm4a和Pm21的聚合体. 作物学报, 2005,31(11):1400-1405.
[21] 徐乐 . 多环境下陆地棉产量、纤维品质、抗黄萎病性的评价及QTL定位. 武汉:华中农业大学, 2012.
[22] 杨璨, 孙全, 王微娜 , 等. 海岛棉单萜合酶基因克隆及其受黄萎病诱导的表达分析. 南方农业学报, 2016,47(5):604-610.
[23] 孔祥瑞, 王红梅, 陈伟 , 等. 陆地棉黄萎病抗性的分子标记辅助选择效果. 棉花学报, 2010,22(6):527-532.
doi: 1002-7807(2010)06-0527-06
[24] 李志坤, 张艳, 王省芬 , 等. 棉花抗黄萎病基因的分子标记辅助选择研究. 河北农业大学学报, 2011,34(6):1-4.
[25] 祁伟彦, 张永军, 张天真 , 等. 基于人工病圃筛选和分子标记辅助的棉花抗黄萎病育种方法研究与应用. 分子植物育种, 2012,10(5):607-612.
doi: 10.3969/mpb.010.000607
[26] Li C Q, Liu G S, Zhao H H , et al. Marker-assisted selection of Verticillium wilt resistance in progeny populations of upland cotton derived from mass selection-mass crossing. Euphytica, 2013,191:469-480.
doi: 10.1007/s10681-013-0917-z
[27] 顾爱星 , Liu J G, 李丹,等.棉花黄萎病抗性影响因子连锁的分子标记筛选. 新疆农业科学, 2015,52(3):493-502.
doi: 10.6048/j.issn.1001-4330.2015.03.017
[28] 冯常辉, 张友昌, 李国荣 , 等. 棉花育种中黄萎病抗性连锁SSR标记辅助选择的效果. 湖北农业科学, 2016,55(23):6045-6049.
doi: 10.14088/j.cnki.issn0439-8114.2016.23.008
[29] Shi Y Z, Zhang B C, Liu A Y , et al. Quantitative trait loci analysis of Verticillium wilt resistance in interspecific backcross populations of Gossypium hirsutum×Gossypium barbadense. BMC Genomics, 2016,17:877.
doi: 10.1186/s12864-016-3128-x
[30] Reinisch A J, Dong J M, Brubaker C L , et al. A detailed RFLP map of cotton Gossypium hirsutum×Gossypium barbadense:chromosome organization and evolution in a disomic polyploid genome. Genetics, 1994,138(3):829-847.
[31] 房卫平, 祝水金, 季道藩 . 陆地棉和海岛棉的黄萎病抗性遗传研究. 棉花学报, 2003,15(1):3-7.
[32] 齐俊生, 马存, 赵良忠 , 等. 海岛棉品种抗黄萎病遗传规律初步研究. 棉花学报, 2000,12(4):169-171.
doi: 10.3969/j.issn.1002-7807.2000.04.001
[33] 葛海燕, 汪业春, 郭旺珍 , 等. 陆地棉抗黄萎病性状的遗传及分子标记研究. 棉花学报, 2008,20(1):19-22.
doi: 10.3969/j.issn.1002-7807.2008.01.004
[34] 张华崇, 张文蔚, 简桂良 , 等. 中植棉2号抗黄萎病的主基因+多基因遗传特性分析. 棉花学报, 2016,28(5):513-518.
[35] Yano M, Sasaki T . Genetic and molecular dissection of quantitative traits in rice. Plant Molecular Biology, 1997,35(1):145-153.
doi: 10.1023/A:1005764209331 pmid: 9291968
[36] 蒋锋, 赵君, 周雷 , 等. 陆地棉抗黄萎病基因的分子标记定位. 中国科学C辑:生命科学, 2009,39(9):849-861.
[37] 陈红, 李吉莲, 刘萍 , 等. 4个抗黄萎病海岛棉染色体片段导入系黄萎病抗性配合力分析. 棉花学报, 2014,2(4):290-294.
doi: 10.3969/j.issn.1002-7807.2014.04.011
[38] 郭宝生, 王凯辉, 刘素恩 , 等. 陆地棉品种和骨干品系黄萎病抗性鉴定. 植物遗传资源学报, 2014,15(2):389-393.
doi: 10.13430/j.cnki.jpgr.2014.02.024
[39] Wang H T, Jin X, Zhang B B , et al. Enrichment of an intraspecific genetic map of upland cotton by developing markers using parental RAD sequencing. DNA Research, 2015,22(2):147-160.
doi: 10.1093/dnares/dsu047
[40] Zhang T Z, Hu Y, Jiang W K , et al. Sequencing of allotetraploid cotton (Gossypium hirsutum L.acc.TM-1) provides a resource for fiber improvement. Nature Biotechnology, 2015,3(5):531-537.
[1] Tang Liyuan, Li Xinghe, Zhang Sujun, Wang Haitao, . QTL Mapping for Photosynthesis#br# Related Traits in Upland Cotton [J]. Crops, 2018, 34(5): 85-90.
[2] Wen Zhang,Tao Lu,Yuxia Ye,Quanyi Liu,Yang Feng. Studies on the Effect of Mixed Defoliant on Cotton in Kuitun District, Xinjiang [J]. Crops, 2018, 34(3): 103-107.
[3] Shanshan Lu,Chenglai Wu,Yan Li,Chunqing Zhang. The Molecular Basis of Holding the Feature and Genetic Purity for Maize Inbred Lines [J]. Crops, 2018, 34(1): 41-48.
[4] Haihua Luo,Deyi Shao,Gong Chen,Xiumin Xu,Xin Gao,Changkai Yuan,Jinjian Peng,Feiyu Tang. Comparative Analysis of Trait Correlation between Conventional Varieties (Lines) and Hybrids of Cotton [J]. Crops, 2017, 33(5): 31-37.
[5] Jixia Liu,Junjian Shan,Yuanchun Ma,Baoan Zeng. Pathogenicity and Biological Characteristics of Verticillium wilt of Sunflower in Ningxia [J]. Crops, 2017, 33(4): 161-164.
[6] Yujie Wang,Baoyu Liu,Lei Zhou,Xiping Zhou,Shuangping Liu,Qi Wang,Jun Zhao,Hongyou Zhou. Improving the Control Ability of Anti-Cropping Agent on Sunflower Verticillium wilt [J]. Crops, 2017, 33(4): 155-160.
[7] Zhimin Dong,Zhi Li,Jia Liu,Liang Chen,Zhigang Yi,Bo Wang,Baoquan Liu. Progress on Resistance to Frogeye Leaf Spot in Soybean [J]. Crops, 2017, 33(3): 1-5.
[8] Min Xu,Yushu Hu,Jinglin Li,Lulu Jin,Zisheng Wang. Clustering and Correlation Analysis of Earlier-Mauture Cotton Innovation Germplasm based on Biological Characters [J]. Crops, 2017, 33(1): 25-31.
[9] Xiefei Zhu,Shenghua Li,Sen Wang. Combining Ability Analysis of Verticillium Wilt-Resistance in Five Resistant Cultivars [J]. Crops, 2016, 32(6): 33-37.
[10] Sujun Zhang,Liyuan Tang,Cunjing Liu,Zhenxing Jiang,Jina Chi,Haiyan Tian,Xinghe Li,Jianhong Zhang,Xiangyun Zhang. Association Analysis of Fiber Quality with SSR Markers in Gossypium barbadense L. [J]. Crops, 2016, 32(4): 93-100.
[11] Tian Weiliang, Ge Zhenhong, Sun Hui. Preliminary Study on Extraction Process of Lignin from Cotton Seed Hulls [J]. Crops, 2013, 29(2): 130-133.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] Guangcai Zhao,Xuhong Chang,Demei Wang,Zhiqiang Tao,Yanjie Wang,Yushuang Yang,Yingjie Zhu. General Situation and Development of Wheat Production[J]. Crops, 2018, 34(4): 1 -7 .
[2] Baoquan Quan,Dongmei Bai,Yuexia Tian,Yunyun Xue. Effects of Different Leaf-Peg Ratio on Photosynthesis and Yield of Peanut[J]. Crops, 2018, 34(4): 102 -105 .
[3] Xuefang Huang,Mingjing Huang,Huatao Liu,Cong Zhao,Juanling Wang. Effects of Annual Precipitation and Population Density on Tiller-Earing and Yield of Zhangzagu 5 under Film Mulching and Hole Sowing[J]. Crops, 2018, 34(4): 106 -113 .
[4] Wenhui Huang, Hui Wang, Desheng Mei. Research Progress on Lodging Resistance of Crops[J]. Crops, 2018, 34(4): 13 -19 .
[5] Yun Zhao,Cailong Xu,Xu Yang,Suzhen Li,Jing Zhou,Jicun Li,Tianfu Han,Cunxiang Wu. Effects of Sowing Methods on Seedling Stand and Production Profit of Summer Soybean under Wheat-Soybean System[J]. Crops, 2018, 34(4): 114 -120 .
[6] Mei Lu,Min Sun,Aixia Ren,Miaomiao Lei,Lingzhu Xue,Zhiqiang Gao. Effects of Spraying Foliar Fertilizers on Dryland Wheat Growth and the Correlation with Yield Formation[J]. Crops, 2018, 34(4): 121 -125 .
[7] Xiaofei Wang,Haijun Xu,Mengqiao Guo,Yu Xiao,Xinyu Cheng,Shuxia Liu,Xiangjun Guan,Yaokun Wu,Weihua Zhao,Guojiang Wei. Effects of Sowing Date, Density and Fertilizer Utilization Rate on the Yield of Oilseed Perilla frutescens in Cold Area[J]. Crops, 2018, 34(4): 126 -130 .
[8] Pengjin Zhu,Xinhua Pang,Chun Liang,Qinliang Tan,Lin Yan,Quanguang Zhou,Kewei Ou. Effects of Cold Stress on Reactive Oxygen Metabolism and Antioxidant Enzyme Activities of Sugarcane Seedlings[J]. Crops, 2018, 34(4): 131 -137 .
[9] Jie Gao,Qingfeng Li,Qiu Peng,Xiaoyan Jiao,Jinsong Wang. Effects of Different Nutrient Combinations on Plant Production and Nitrogen, Phosphorus and Potassium Utilization Characteristics in Waxy Sorghum[J]. Crops, 2018, 34(4): 138 -142 .
[10] Na Shang,Zhongxu Yang,Qiuzhi Li,Huihui Yin,Shihong Wang,Haitao Li,Tong Li,Han Zhang. Response of Cotton with Vegetative Branches to Plant Density in the Western of Shandong Province[J]. Crops, 2018, 34(4): 143 -148 .