摘要
为精准鉴别饲用燕麦品种和解决生产中品种混乱问题,本研究采用15对SSR引物对19个饲用燕麦品种的基因组DNA进行扩增,在遗传多样性分析的基础上筛选核心引物组合,构建供试品种的分子指纹图谱,开发其分子身份证。结果表明:15对SSR引物共检测到70个等位基因,每个位点检测到2~8个等位基因;有效等位基因数范围在1.6437~5.4783之间,平均2.5741;观测杂合度在0.3939~0.8931之间,高于期望杂合度;引物M08的多态信息含量(PIC)值最高,为0.8391,M07的PIC值最低,为0.4736。剔除PIC低于0.7的引物后,剩余引物对供试品种的区分率在10.53%~26.32%之间;2对引物组合中,M08-M03和GM8-M03的区分率最高,均为73.68%,但仍不足以区分所有品种;3对引物组合中M08-P15-M03的区分率为100%,可将19个供试燕麦品种完全区分开。通过核心引物组合M08-P15-M03对各品种的扩增片段进行数字化编码,并按照固定的引物顺序将各带型编码依次连接,构建了各品种的分子身份证,并将其转化为可供机器识别的条形码和二维码,实现了品种的快速鉴别。
In order to accurately identify forage oat varieties and solve the problems of variety confusion in production,15 pairs of SSR primers were used to amplify the genomic DNA of 19 forage oat varieties,on the basis of genetic diversity analysis,core primer combinations were screened to construct the molecular fingerprints of the tested varieties and developed their molecular identity cards.The results showed that a total of 70 alleles were detected with 15 pairs of SSR primers,with 2-8 alleles detected at each locus,and the number of effective alleles ranged from 1.6437 to 5.4783,with an average of 2.5741;the observed heterozygosity(Ho)ranged from 0.3939 to 0.8931,which was higher than that of expected heterozygosity;and the polymorphism information content(PIC)value of primer M08 was the highest(0.8391),and that of primer M07 was the lowest(0.4736).After excluding primers with PIC lower than 0.7,the distinguishing rate of the remaining primers to the test varieties was 10.53%to 26.32%.Among the two pairs of primer,M08-M03 and GM8-M03 had the highest distinguishing rate(73.68%),but it was still insufficient to distinguish all varieties.The distinguishing rate of M08-P15-M03 in 3 pairs of primers was 100%,which could completely distinguish 19 tested oat varieties.By using core primers M08-P15-M03,the amplified fragments of each variety were digitally encoded,and each band type code was connected successively according to the fixed sequence of primers,and the molecular identification codes of each variety were successfully constructed and converted into barcodes and two-dimensional codes that could be recognized by machines,realizing rapid identification of varieties.
作者
冉婵宇
慕平
柴继宽
张跃华
刘金生
赵桂琴
RAN Chanyu;MU Ping;CHAI Jikuan;ZHANG Yuehua;LIU Jinsheng;ZHAO Guiqin(College of Pratacultural Science,Gansu Agricultural University/Key Laboratory of Grassland Ecosystem Ministry of Education/Gansu Grassland Engineering Laboratory/The Sino-U.S Joint Centers for Grazingland Ecosystem Sustainability,Lanzhou 730070,China;College of Agronomy,Gansu Agricultural University,Lanzhou 730070,China;National Center of Pratacultural Technology Innovation(under preparation),Hohhot 010000,China;Shandan County Tianze Agricultural and Animal Husbandry Science and Technology Development Co.,Shandan 734100,China)
出处
《中国草地学报》
CSCD
北大核心
2024年第8期19-28,共10页
Chinese Journal of Grassland
基金
张掖市重大技术攻关项目(ZY2022JBGS01)
国家草业技术创新中心(筹)重大创新平台建设专项(CCPTZX2023B05)。
