Detecting RNA-RNA interactions in E. coli using a modified CLASH method

BMC Genomics

Zheng Wang¹  Wuju Li¹  Tao Liu¹  Kaiyu Zhang¹  Song Xu¹  Baolei Tian²  Hanjiang Fu²  Xiaofei Zheng² 

[1] Beijing Institute of Basic Medical Sciences;Beijing Institute of Radiation Medicine;

关键词: RNA-RNA interaction;    High-throughput sequencing;    Bacteria;   

DOI  :  10.1186/s12864-017-3725-3

来源: DOAJ

【 摘 要 】

Abstract Background Bacterial small regulatory RNAs (sRNAs) play important roles in sensing environment changes through sRNA-target mRNA interactions. However, the current strategy for detecting sRNA-mRNA interactions usually combines bioinformatics prediction and experimental verification, which is hampered by low prediction accuracy and low-throughput. Additionally, among the 4736 sequenced bacterial genomes, only about 2164 sRNAs from 319 strains have been described. Furthermore, target mRNAs of only 157 sRNAs have been uncovered. Obviously, highly efficient methods were required to detect sRNA-mRNA interactions in the sequenced genomes. This study aimed to apply a modified CLASH (cross-linking, ligation and sequencing hybrids) method to detect RNA-RNA interactions in E. coli, a model bacterial organism. Results Statistically significant interactions were detected in 29 transcript pairs. To the best of our knowledge, 24 pairs were reported for the first time and were novel RNA interactions, including tRNA-tRNA, tRNA-ncRNA (non-coding RNA), tRNA-rRNA, rRNA-mRNA, rRNA-ncRNA, rRNA-rRNA, rRNA-IGT (intergenic transcript), and tRNA-IGT interactions. Conclusions Discovery of novel RNA-RNA interactions in the present study demonstrates that RNA-RNA interactions might be far more complicated than ever expected. New methods may be required to help discover more novel RNA-RNA interactions. The present work describes a high-throughput protocol not only for discovering new RNA interactions, but also directly obtaining base-pairing sequences, which should be useful in assessing RNA structure and interactions.

【 授权许可】

Unknown