欢迎访问作物学报,今天是

作物学报 ›› 2017, Vol. 43 ›› Issue (02): 307-312.doi: 10.3724/SP.J.1006.2017.00307

• 研究简报 • 上一篇    

与小麦抗白粉病基因Pm48紧密连锁分子标记的开发

付必胜1,**,刘颖1,2,**,张巧凤1,吴小有1,高海东3,蔡士宾1,戴廷波2,*,吴纪中1,*   

  1. 1江苏省农业科学院粮食作物研究所 / 江苏省农业种质资源保护与利用平台, 江苏南京 210014; 2南京农业大学农学院, 江苏南京 210095; 3南京集思慧远生物科技有限公司, 江苏南京 210014
  • 收稿日期:2016-07-26 修回日期:2016-11-02 出版日期:2017-02-12 网络出版日期:2016-11-15
  • 通讯作者: 吴纪中, E-mail: wujz@jaas.ac.cn, Tel: 025-84391667; 戴廷波, E-mail: tingbod@njau.edu.cn, Tel: 025-84395033
  • 基金资助:

    本研究由国家科技支撑计划项目(2013BAD01B02-12),国家现代农业产业技术体系建设专项(CARS-3-1-17),江苏省农业科技自主创新资金项目(CX(14)5006)和江苏省自然科学基金(BK2012783)资助。

Development of Markers Closely Linked with Wheat Powdery Mildew Resistance Gene Pm48

FU Bi-Sheng1,**,LIU Ying1,2,**,ZHANG Qiao-Feng1,WU Xiao-You1,GAO Hai-Dong3,CAI Shi-Bin1,DAI Ting-Bo2,*,WU Ji-Zhong1,*   

  1. 1 Institute of Food Crops, Jiangsu Academy of Agricultural Sciences / Jiangsu Provincial Platform for Conservation and? Utilization of Agricultural Germplasm, Nanjing 210014, China; 2 College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China; 3 Genepioneer Biotechnologies Co. Ltd., Nanjing 210014, China
  • Received:2016-07-26 Revised:2016-11-02 Published:2017-02-12 Published online:2016-11-15
  • Contact: 吴纪中, E-mail: wujz@jaas.ac.cn, Tel: 025-84391667; 戴廷波, E-mail: tingbod@njau.edu.cn, Tel: 025-84395033
  • Supported by:

    This study was supported by the National Key Technology R&D Program of China (2013BAD01B02-12), the China Agriculture Research System (CARS-3-1-17), Jiangsu Provincial Foundation of Agricultural Scienti?c Innovation [CX (14)5006], and the Natural Science Foundation of Jiangsu Province (BK2012783).

摘要:

Pm48为本实验室鉴定的一个抗白粉病新基因。为精细定位该基因,利用混池ddRAD测序鉴定了81个与该基因关联的序列,开发了STS标记Xmp931,转化了CAPS标记Xmp928Xmp930Xmp936;同时,利用粗山羊草基因组序列开发了71个基因组SSR标记,定位了其中的Xmp1089Xmp1112。在115个宁糯麦1号´Tabasco衍生的 F2:3家系中,Xmp928与目的基因共分离,Xmp1112位于近着丝粒方向处距抗病基因3.1 cM。在671个纯合感病家系中,标记Xmp928仍与目的基因共分离。利用3个中国春5DS缺失系,最终将Pm48定位在小麦5DS上0.63–0.67的臂区段中。

关键词: 小麦, 抗白粉病基因, 分子标记, 混池ddRAD测序

Abstract:

Pm48 is a novel powdery mildew resistance gene identified previously in our laboratory. This study aimed at developing close molecular markers for fine mapping of the gene. The ddRAD-sequencing assay revealed 81 SNPs associated with the target gene, in which one converted into the STS marker Xmp931 and three converted into the CAPS markers Xmp928, Xmp930, and Xmp936. We also developed 71 genomic SSR markers according to the genome sequence of Aegilops tauschii. And mapped two of them, Xmp1089 and Xmp1112. Using the 115 F2:3 families derived from the cross of Ningnuomai 1 ´ Tabasco, the target gene was found to be co-segregated with Xmp928 and distal to Xmp1112 with the genetic distance of 3.1 cM towards centromere. In the 671 homozygous susceptible families, Xmp928 also showed co-segregated with the target gene. We also physically mapped Pm48 to the bin of 5DS 0.63–0.67 by using three Chinese Spring 5DS deletion lines.

Key words: Wheat, Powdery mildew resistance gene, Molecular markers, Bulked ddRAD-seq

[1]Johnson J, Baenziger P, Yamazaki W, Smith R. Effects of powdery mildew on yield and quality of isogenic lines of 'Chancellor' wheat. Crop Sci, 1979, 19: 349–352
[2]Xiao M, Song F, Jiao J, Wang X, Xu H, Li H. Identification of the gene Pm47 on chromosome 7BS conferring resistance to powdery mildew in the Chinese wheat landrace Hongyanglazi. Theor Appl Genet, 2013, 126: 1397–1403
[3]Mohler V, Bauer C, Schweizer G, Kempf H, Hartl L. Pm50: a new powdery mildew resistance gene in common wheat derived from cultivated emmer. J Appl Genet, 2013, 54: 259–263
[4]Zhan H, Li G, Zhang X, Li X, Guo H, Gong W, Jia J, Qiao L, Ren Y, Yang Z, Chang Z. Chromosomal location and comparative genomics analysis of powdery mildew resistance gene Pm51 in a putative wheat–Thinopyrum ponticum introgression line. PLoS One, 2014, 9: e113455
[5]Xu H, Yi Y, Ma P, Qie Y, Fu X, Xu Y, Zhang X, An D. Molecular tagging of a new broad-spectrum powdery mildew resistance allele Pm2c in Chinese wheat landrace Niaomai. Theor Appl Genet, 2015, 128: 2077–2084
[6]Hyten D, Cannon S, Song Q, Weeks N, Fickus E, Shoemaker R, Specht J, Farmer A, May G, Cregan P. Highthroughput SNP discovery through deep resequencing of a reduced representation library to anchor and orient scaffolds in the soybean whole genome sequence. BMC Genomics, 2010, 11: 38
[7]Pfender W, Saha M, Johnson E, Slabaugh M. Mapping with RAD (restriction-site associated DNA) markers to rapidly identify QTL for stem rust resistance in Lolium perenne. Theor Appl Genet, 2011, 122:1467–1480
[8]Wang N, Fang L, Xin H, Wang L, Li S. Construction of a high-density genetic map for grape using next generation restriction-site associated DNA sequencing. BMC Plant Biol, 2012, 12: 148
[9]Peterson B K, Weber J N, Kay E H, Fisher H S, Hoekstra H E. Double digest RADseq: an inexpensive method for de novo SNP discovery and genotyping in model and non-model species. PLoS One, 2012, 7: e37135
[10]Davik J, Sargent D J, Brurberg M B, Lien S, Kent M, Alsheikh M. A ddRAD based linkage map of the cultivated strawberry, Fragaria xananassa. PLoS One, 2015, 10: e0137746
[11]Zhou X, Xia Y, Ren X, Chen Y, Huang L, Huang S, Liao B, Lei Y, Yan L, Jiang H. Construction of a SNP-based genetic linkage map in cultivated peanut based on large scale marker development using next-generation double-digest restriction-site-associated DNA sequencing (ddRADseq). BMC Genomics, 2014, 15: 351
[12]Wu Z, Wang B, Chen X, Wu J, King G, Xiao Y, Liu K. Evaluation of linkage disequilibrium pattern and association study on seed oil content in Brassica napus using ddRAD sequencing. PLoS One, 2016, 11: e0146383
[13]Feuillet C, Travella S, Stein N, Albar L, Nublat A, Keller B. Map-based isolation of the leaf rust disease resistance gene Lr10 from the hexaploid wheat (Triticum aestivum L.) genome. Proc Natl Acad Sci USA, 2003, 100: 15253–15258
[14]Yan L, Loukoianov A, Tranquilli G, Helguera M, Fahima T, Dubcovsky J. Positional cloning of the wheat vernalization gene VRN1. Proc Natl Acad Sci USA, 2003, 100: 6263–6268
[15]Fu D, Uauy C, Distelfeld A, Blechl A, Epstein L, Chen X, Sela H, Fahima T, Dubcovsky J. A kinase-START gene confers temperature-dependent resistance to wheat stripe rust. Science, 2009, 323: 1357–1360
[16]Krattinger S, Lagudah E, Spielmeyer W, Singh R, Huerta-Espino J, McFadden H, Bossolini E, Selter L, Keller B. A putative ABC transporter confers durable resistance to multiple fungal pathogens in wheat. Science, 2009, 323: 1360–1363
[17]Yahiaoui N, Srichumpa P, Dudler R, Keller B. Genome analysis at different ploidy levels allows cloning of the powdery mildew resistance gene Pm3b from hexaploid wheat. Plant J, 2004, 37: 528–538
[18]Cao A, Xing L, Wang X, Yang X, Wang W, Sun Y, Qian C, Ni J, Chen Y, Liu D, Wang X, Chen P. Serine/threonine kinase gene Stpk-V, a key member of powdery mildew resistance gene Pm21, confers powdery mildew resistance in wheat. Proc Natl Acad Sci USA, 2011, 108: 7727–7732
[19]Gao H, Zhu F, Jiang Y, Wu J, Yan W, Zhang Q, Jacobi A, Cai S. Genetic analysis and molecular mapping of a new powdery mildew resistant gene Pm46 in common wheat. Theor Appl Genet, 2012, 125: 967–973
[20]McIntosh R, Dubcovsky J, Rogers W, Morris W, Appels R, Xia X. Catalogue of gene symbols for wheat: 2013–2014 supplement, http://www.wheat.pw.usda.gov/GG2/pubs.shtml
[21]Endo T R, Gill B S. The deletion stocks of common wheat. J Hered, 1996, 87: 295–307
[22]盛宝钦. 用反应型记载小麦苗期白粉病. 植物保护, 1988, (1): 14
Sheng B Q. Infection reaction types against wheat powdery mildew at seedling stage. Plant Prot, 1988, (1): 14 (in Chinese)
[23]Ma Z Q, Sorrells M E, Tanksley S D. RFLP markers linked to powdery mildew resistance genes Pm1, Pm2, Pm3, and Pm4 in wheat. Genome, 1994, 37: 871–875
[24]Lander E, Green P, Abrahamson J, Barlow A, Daley M, Lincoln S, Newburg L. Mapmaker: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics, 1987, 1: 174–181
[25]刘仁虎, 孟金陵. MapDraw, 在Exel中绘制遗传连锁图的宏. 遗传, 2003, 25: 317–321
Liu R, Meng J. MapDraw: a Microsoft Excel macro for drawing genetic linkage maps based on given genetic linkage data. Hereditas (Beijing), 2003, 25: 317–321 (in Chinese)
[26]Kosambi D. The estimation of map distances from recombination values. Ann Eugenics, 1943, 12: 172–175
[27]You F M, Wanjugi H, Huo N, Lazo G R, Luo M C, Anderson O D, Dvorak J, Gu Y Q. RJPrimers: unique transposable element insertion junction identification and primer design for marker development. Nucl Acid Res, 2010, 38: 313–320
[28]Xue S, Zhang Z, Lin , Kong Z, Cao Y, Li C, Yi H, Mei M, Zhu H, Wu J, Xu H, Zhao D, Tian D, Zhang C, Ma Z. A high-density intervarietal map of the wheat genome enriched with markers derived from expressed sequence tags. Theor Appl Genet, 2008, 117: 181–189
[29]Suenaga K, Khairallah M, William H, Hoisington D. A new intervarietal linkage map and its application for quantitative trait locus analysis of “gigas” features in bread wheat. Genome, 2005, 48: 65–75
[30]Paillard S, Schnurbusch T, Winzeler M, Messmer M, Sourdille P, Abderhalden O, Keller B, Schachermayr G. An integrative genetic linkage map of winter wheat (Triticum aestivum L.). Theor Appl Genet, 2003, 107: 1235–1242
[31]Akpinar B, Magni F, Yuce M, Lucas S, Šimková H, Šafá? J, Vautrin S, Bergès H, Cattonaro F, Dole?el J, Budak H. The physical map of wheat chromosome 5DS revealed gene duplications and small rearrangements. BMC Genomics, 2015, 16: 453
[32]Erayman M, Sandhu D, Sidhu D, Dilbirligi M, Baenziger P S, Gill K S. Demarcating the gene-rich regions of the wheat genome. Nucl Acids Res, 2004, 32: 3546–3565

[1] 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.
[2] 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.
[3] 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.
[4] 彭佳泺, 李颖, 李丹丹, 杨军宁, 郭学峰, 张文姣, 俞晓雪, 周亚荣, 王振玉, 王彩香, 马雄风, 宿俊吉. 陆地棉I类LBD家族成员鉴定及GhLBD6调控开花期的功能和单倍型分析[J]. 作物学报, 2026, 52(6): 1682-1697.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[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] 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.
[13] 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.
[14] 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.
[15] 王楚锐, 李开祥, 赵志, 肖麓, 唐国永, 赵志刚, 徐亮, 杜德志, 柳海东. 甘蓝型春油菜早花基因BnCRY2功能位点KASP标记的开发及应用[J]. 作物学报, 2026, 52(3): 708-721.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!