Boosting the power of transcriptomics by developing an efficient gene expression profiling approach. Issue 1 (23rd September 2021)

• Record Type: Journal Article
• Authors: Wang, Jing; Xu, Jun; Yang, Xiaohan; Xu, Song; Zhang, Ming; Lu, Fei
• Is Part Of: Plant biotechnology journal. Volume 20:Issue 1(2022)
• Page Start: 201
• Page End: 210
• Publication Date: 2021-09-23
• Subjects: 3′RNA‐seq -- SiPAS -- transcriptomics -- gene expression profiling -- plant genomics; Plant biotechnology -- Periodicals; Plant genetic engineering -- Periodicals; 630.272
• DOI: 10.1111/pbi.13706
• Languages: English
• ISSNs: 1467-7644

Abstract

Summary: Recent advances in plant genomics are scaling up gene expression profiling from the individual level to the population level, making transcriptomics a more powerful tool while deciphering the genome function. This study developed an efficient 3′RNA‐seq method, Simplified Poly(A) Anchored Sequencing (SiPAS), to perform large‐scale experiments of gene expression quantification. Aside from being cost‐effective, by conducting a comprehensive performance assessment of SiPAS in hexaploid wheat, we demonstrated that SiPAS is highly sensitive, accurate, and reproducible while quantifying gene expression. Our method is anticipated to boost studies of population transcriptomics in plants and improve our understanding of genome biology.