Scientia Agricultura Sinica ›› 2011, Vol. 44 ›› Issue (6): 1292-1300 .doi: 10.3864/j.issn.0578-1752.sas-2010-07294

• RESEARCH NOTES • Previous Articles     Next Articles

Optimization of EcoTILLING Technique in Barley

  

  1. (广州大学生命科学学院/植物抗逆基因功能研究广州市重点研究室)
  • Received:2010-09-12 Revised:2010-10-24 Online:2011-03-15 Published:2011-03-15
  • Contact: GUO Pei-guo, NING Zheng-xiang

Abstract:

【Objective】The goal of this work is to establish an optimized EcoTILLING protocol for identification of natural variations within target genes and specified regions of genomes in barley. 【Method】The universal adapter M13 was labeled with fluorescent dyes, the nested PCR with specific primer combination and M13 adapter was performed for the targeted region. The EcoTILLING protocol for barley was optimized, including the template amount and annealing temperature in PCR amplification, CELⅠamount and reaction time in cleavage of mispaired heteroduplex DNA. 【Result】The results showed that the optimal amount of genomic DNA in a 10 μL of reaction system was 20 ng as template for the first round of PCR, and the first PCR product was diluted 3-fold and used as a template for the second round. The proper annealing temperature for both first- and second-round PCRs was 58℃. Optimum amount of CELⅠ enzyme was 0.4 μL (3 U•μL-1) in a 20 μL of digestion reaction system, and 17.5 min at 45℃ was the optimal time for the cleavage of heteroduplex DNAs. 【Conclusion】The experiment indicates that the optimized EcoTILLING protocol can effectively detect DNA polymorphisms for natural population of barley with lower cost, and it could provide a foundation for larger scale efforts in reverse genetics and characterization of natural nucleotide variation in barley.

Key words: barley, EcoTILLING, optimization, point mutation

[1] YANG Yan, JIANG LiHua, LI Ni, SHI Jing, TAN DeShui, LIU YuMin, ZHAO HuanYu, XU Yu. Water and Fertilizer Management for Reducing Nitrogen Leaching in Facility Vegetable Fields and Achieving Concurrent Yield Increase and Efficiency Improvement [J]. Scientia Agricultura Sinica, 2026, 59(4): 850-861.
[2] ZHANG ZhiYong, TAN ShiChao, XIONG ShuPing, MA XinMing, WEI YiHao, WANG XiaoChun. Effects of Annual Water and Nitrogen Optimization on Yield and Nitrogen Migration of Wheat-Maize Rotation System in Irrigation Area of Northern Henan [J]. Scientia Agricultura Sinica, 2026, 59(2): 336-353.
[3] TONG ZhaoYang, LIU WenHua, ZHANG GuoXin, DONG ChunYan, ZHANG YanXia, XU XiaoWei, HE Dong, LIU HeChun, LI Yang, WANG FengTao, FENG Jing, YAO XiaoBo, LIU MeiJin, LIN RuiMing. The Relationship Between Occurrence of Hulless Barley Ear Rot and Population Migration of Grass Mite (Siteroptes spp.) [J]. Scientia Agricultura Sinica, 2025, 58(3): 493-506.
[4] MU ShuJia, DONG LiXia, LI Guang, YAN ZhenGang, LU YuLan. Optimization of N2O Emission Parameters in Dryland Spring Wheat Farmland Soil Based on Whale Optimization Algorithm [J]. Scientia Agricultura Sinica, 2025, 58(3): 537-547.
[5] SHI DeYang, GAO ChunHua, LI YanHong, ZHAO HaiJun, XIA DeJun. Effects of Row Spacing Configuration on the Canopy Characteristics and Grain Yield of the Intercropping Maize [J]. Scientia Agricultura Sinica, 2025, 58(23): 4872-4885.
[6] YANG WenJuan, GAO JiaCheng, WANG YanTing, LI Yan, GUO Ming, WANG JunCheng, MENG YaXiong, WANG HuaJun, SI ErJing. Function of Effector Pg00778 Regulation on the Pathogenicity of Pyrenophora graminea to Barley [J]. Scientia Agricultura Sinica, 2025, 58(15): 3020-3035.
[7] CAO JingWen, NIE ZhiGang, LI Guang, YANG Jie. Multi-Objective Optimization of Stable Yield and Emission Reduction of Dryland Spring Wheat Based on DNDC and NSGA-Ⅲ. Coupling Model [J]. Scientia Agricultura Sinica, 2025, 58(13): 2538-2551.
[8] ZHANG YanJun, DAI JianLong, DONG HeZhong. On Multi-Objective Collaborative Cultivation in Cotton Production [J]. Scientia Agricultura Sinica, 2025, 58(10): 1908-1916.
[9] WANG ChuFan, NIU Jun. Water and Carbon Footprint and Layout Optimization of Major Grain Crops in the Northwest China [J]. Scientia Agricultura Sinica, 2024, 57(6): 1137-1152.
[10] SU AnXiang, HE AnQi, MA GaoXing, ZHAO LiYan, YANG WenJian, HU QiuHui. Modeling and Optimization of 3D Printing Process of Pleurotus Eryngii Powder Using Neural Network-Genetic Algorithm [J]. Scientia Agricultura Sinica, 2024, 57(3): 584-596.
[11] ZHANG AiHong, YANG Fei, ZHAO YuanYe, ZHAO YiHan, DI DianPing, MIAO HongQin. Pathogenicity and Epidemic Risk of Barley Yellow Striate Mosaic Virus [J]. Scientia Agricultura Sinica, 2024, 57(23): 4686-4697.
[12] XU JinQing, BIAN HaiYan, CHEN TongRui, WANG Lei, WANG HanDong, YOU En, DENG Chao, TANG YouLin, SHEN YuHu. Comparison of the Genome Sequence Polymorphisms Between the Main Naked Barley Varieties Kunlun 14 and Kunlun 15 in Qinghai Province [J]. Scientia Agricultura Sinica, 2024, 57(21): 4192-4204.
[13] DONG Qing, SONG LianJie, ZHANG HongWei, SU DongYao, ZHANG Ao, ZHANG Lu, ZHANG HuiWen, LI BoSen, GAO YuHong, SUN XinSheng. Isolation of High-Efficient Ammonia-Removing Strains and Its Cultivated Condition Optimization [J]. Scientia Agricultura Sinica, 2024, 57(21): 4367-4375.
[14] ZHOU DaoMing, SUN Tao, ZHAO YuHong, JIA YuanJie, YANG MingFei, QU Feng, HU XiaoHui. Optimization of Water and Fertilizer Management of Substrate Cultivated Peppers Based on Quality, Yield, and Water and Fertilizer Use Efficiency [J]. Scientia Agricultura Sinica, 2023, 56(12): 2354-2366.
[15] CUI WeiNan, NIE ZhiGang, LI Guang, WANG Jun. Optimization of Dryland Wheat Grain Growth Model Parameters Based on an Improved Shuffled Frog Leaping Algorithm [J]. Scientia Agricultura Sinica, 2023, 56(12): 2274-2287.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!