MP3RNA-seq:Massively parallel 3′end RNA sequencing for high-throughput gene expression profiling and genotyping

• 作者: Jian Chen Xiangbo Zhang Fei Yi Xiang Gao Weibin Song Haiming Zhao Jinsheng Lai
• 来源期刊: 植物学报（英文版）
• 年，卷（期）: 2021,（7）
• 所属期刊栏目: New Technology
• 页码范围: 1227-1239
• 页数: 13页
• 语种: 英文

摘要

Transcriptome deep sequencing (RNA-seq) has become a routine method for global gene expression profiling. However, its application to large-scale experiments remains limited by cost and labor constraints. Here we describe a massively parallel 3′ end RNA-seq (MP3RNA-seq) method that introduces unique sample barcodes during reverse transcription to permit sample pooling immediately following this initial step. MP3RNA-seq allows for handling of hun-dreds of samples in a single experiment, at a cost of about $6 per sample for library construction and sequencing. MP3RNA-seq is effective for not only high-throughput gene expression profiling, but also genotyping. To demonstrate its utility, we applied MP3RNA-seq to 477 double haploid lines of maize. We iden-tified 19,429 genes expressed in at least 50％of the lines and 35,836 high-quality single nucleotide polymorphisms for genotyping analysis. Armed with these data, we performed expression and agronomic trait quantitative trait locus (QTL) mapping and identified 25,797 expression QTLs for 15,335 genes and 21 QTLs for plant height, ear height, and relative ear height. We conclude that MP3RNA-seq is highly reproducible, accurate, and sensitive for high-throughput gene expression profiling and genotyping, and should be generally applicable to most eukaryotic species.