A micro-RNA-Seq Method for Transcriptome Analysis of Yak Oocytes
The RNA-Seq approach has been used as a powerful tool for transcriptome analysis because it is advantageous over conventional methods.However, this technology requires a large amount of input total RNA.Thus, many research samples such as oocytes are unable to meet the minimum amount request of sequencing.To address this challenge, we established an improved micro-RNA-Seq method in a model of yak oocytes, and the starting amount of total RNA as low as 10 ng.After deep sequencing, a total of 47 619 254 clean reads with 4 Gb data were obtained in the micro-oocyte library.Quality control tests and basic analysis results showed that the sequencing quality of the library was good.Further compared with the standard RNA-Seq method, the result of randomness assessment showed that the reads random distribution in the two sequencing methods looked both well and similar.The correlation coefficient between the QPCR result and micro-RNA-Seq data was high (P =0.81), and the Pearson correlation of gene expression level between micro-RNA-Seq and standard RNA-Seq was nearly to 0.9 (P =0.88),indicating that the micro-RNA-Seq has a high correlation with the standard RNA-Seq.The study provides an improved and reliable transcriptome sequencing method for trace sample especially for the yak oocyte.
Micro-RNA-Seq oocyte yak smart transcriptome
Lan Daoliang Xiong Xianrong Hu Min Li Jian
Institute of Qinghai-Tibetan Plateau, Southwest University for Nationalities, Chengdu, 610041, China College of Life Science and Technology, Southwest University for Nationalities, Chengdu, 610041, Chi Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518000, China
国际会议
The 5th International Conference on Yak(第五届国际耗牛大会)
兰州
英文
139-146
2014-08-27（万方平台首次上网日期，不代表论文的发表时间）