ZHANG Hong-lei,ZHU Jie-hua,HU Zhen-zhu,et al.Detection and Analysis of Microsatellites in the Phytophthora infestans Genome[J].Northern Horticulture,2013,37(17):110-114.
致病疫霉基因组序列微卫星的发掘与开发分析
- Title:
- Detection and Analysis of Microsatellites in the Phytophthora infestans Genome
- 文章编号:
- 1001-0009(2013)17-0110-05
- Keywords:
- Phytophthora infestans; genome; microsatellite
- 分类号:
- Q 813
- 文献标志码:
- A
- 摘要:
- 利用SciRoKo软件,确定了致病疫霉整个基因组及其不同区域完美型和复合型微卫星的数量,并分析其分布规律。结果表明:在致病疫霉基因组中共发现了5 010个完美型微卫星位点,其出现频率平均为26.35个/Mb,最偏好基元类型为ACGG、AT和AAG;外显子区域仅含3~6个碱基的微卫星基元,其中3和6个碱基的微卫星基元占93.68%;复合型位点275个,82.18%为中断完美类型。通过SciRoKo软件对致病疫霉基因组不同区域的序列进行分析,共获得了430个适合开发高多态性微卫星标记位点,其中包括83个外显子编码区微卫星位点和264个非编码区位点;分别对32个编码区和105非编码区的微卫星位点进行验证,结果表明其开发成功率和多态性明显提高。
- Abstract:
- The amount and distribution of pure and compound microsatellite in the whole genome and its different regions of Phytophthora infestans were identified by software SciRoKo.The results showed that,a total of 5 010 loci for perfect microsatellites were detected in the genome,whose density was 26.35 SSRs/Mb,and the perfect motifs were ACGG,AT and AAG.Only motif for 3 to 6 bases occurred in the exons,in which the percent of microsatellites with 3 and 6 bases motif accounted for 93.68%.The number of compound microsatellites were 275,accounting for 82.18% was interrupted perfect microsatellites.The loci suitable for microsatellite markers were identified according to the software of SciRoKo.At last,430 loci suitable for the development of microsatellites were acquired,in which the coding regions were 83 and non-coding regions were 264.In the coding region and non-coding regions,which were respectively selected 32 and 105 microsatellite loci for validation.The results showed that the success rate of its development and polymorphism significantly increased.This provided a reliable method for the development of microsatellite in genome of high repetition.
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备注/Memo
第一作者简介:张宏磊(1986-),男,河北唐山人,硕士研究生,研究方向为植物病理学。E-mail:bdzhl2013@163.com.
责任作者:杨志辉(1975-),男,河北藁城人,博士,副教授,硕士生导师,研究方向为植物病理学。E-mail:bdyzh2002@yahoo.com.cn.
基金项目:国家自然科学基金资助项目(31000833)。
收稿日期:2013-04-15