摘要
探索更适合规模化低深度重测序的建库方式对畜禽基因组育种有重要的应用价值,采用4种不同方法进行文库构建,并比较手工和自动化的低覆盖度数据表现。结果表明,基于MGIcare、PCRfree及TN5等酶切法建库数据与经典机械打断法具有类似的数据表现,并且在操作流程上更加简便、快速。自动化建库较手工方式获得的测序数据一致性更好。利用这些方法可以得到300万~700万的SNPs(对应测序深度0.5×-1×)。
Explore a library construction method more suitable for large-scale low-depth resequencing,which had important applica⁃tion value for livestock and poultry genome breeding,four different methods were used to construct the library,and the performance of manual and automated low-coverage data was compared.The results showed that the database based on MGIcare,PCRfree and TN5 digestion methods had similar data performance with the classical mechanical disruption method,and the operation process was sim⁃pler and faster.Automated database construction had better consistency than manual sequencing data.Using these methods,3 million to 7 million SNPs(corresponding to sequencing depth 0.5×-1×)can be obtained.
作者
杨漫漫
陈涛
沈俊然
王然
李勇
YANG Man-man;CHEN Tao;SHEN Jun-ran;WANG Ran;LI Yong(BGI Institute of Applied Agriculture,BGI-Shenzhen/Shenzhen Engineering Laboratory for Genomics-Assisted Animal Breeding,Shenzhen 518083,Guangdong,China)
出处
《湖北农业科学》
2022年第21期189-192,200,共5页
Hubei Agricultural Sciences
基金
广东省重点领域研发计划项目(2018B020203002)
深圳市科技计划项目(JCYJ20180307163440037)。
关键词
文库构建
自动化
低覆盖度重测序
library preparation
automation
low-coverage resequencing