Kosiński Jan Grzegorz, Ranaweera Sandeepani, Chełkowska-Pauszek Agnieszka, Kashlev Mikhail, Babitzke Paul, Żywicki Marek
Department of Computational Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań 61-614, Poland.
Department of Biochemistry and Molecular Biology, Center for RNA Molecular Biology, Pennsylvania State University, University Park, PA 16802, United States.
Nucleic Acids Res. 2025 Jun 20;53(12). doi: 10.1093/nar/gkaf553.
In recent years, Term-seq became a standard experimental approach for high-throughput identification of 3' ends of bacterial transcripts. It was widely adopted to study transcription termination events and 3' maturation of bacterial RNAs. Despite widespread utilization, a universal bioinformatics toolkit for comprehensive analysis of Term-seq sequencing data is still lacking. Here, we describe TERMITe, a novel method for the identification of stable 3' RNA ends based on bacterial Term-seq data. TERMITe works with data obtained from both currently available Term-seq protocols and provides robust identification of the 3' RNA termini. Unique features of TERMITe include the calculation of the transcription termination efficiency using matched RNA-seq data and the comprehensive annotation of the identified 3' RNA ends, allowing functional analysis of the results. We have applied TERMITe to the comparative analysis of experimentally validated intrinsic terminators spanning different species across the bacterial domain of life, revealing substantial differences in their sequence and secondary structure. We also provide a complete atlas of experimentally validated intrinsic transcription termination sites for 13 bacterial species: Escherichia coli, Bacillus subtilis, Listeria monocytogenes, Enterococcus faecalis, Synechocystis sp., Streptomyces clavuligerus, Streptomyces griseus, Streptomyces coelicolor, Streptomyces avermitilis, Streptomyces lividans, Streptomyces tsukubaensis, Streptomyces venezuelae, and Zymomonas mobilis.
近年来,Term-seq成为高通量鉴定细菌转录本3'末端的标准实验方法。它被广泛用于研究转录终止事件和细菌RNA的3'成熟过程。尽管得到了广泛应用,但仍缺乏用于全面分析Term-seq测序数据的通用生物信息学工具包。在此,我们描述了TERMITe,一种基于细菌Term-seq数据鉴定稳定3'RNA末端的新方法。TERMITe适用于从当前可用的Term-seq方案获得的数据,并能可靠地鉴定3'RNA末端。TERMITe的独特之处包括使用匹配的RNA-seq数据计算转录终止效率,以及对鉴定出的3'RNA末端进行全面注释,从而对结果进行功能分析。我们已将TERMITe应用于对跨越生命细菌域不同物种的经实验验证的内在终止子的比较分析,揭示了它们在序列和二级结构上的显著差异。我们还提供了13种细菌的经实验验证的内在转录终止位点的完整图谱,这些细菌包括:大肠杆菌、枯草芽孢杆菌、单核细胞增生李斯特菌、粪肠球菌、集胞藻属、克拉维链霉菌、灰色链霉菌、天蓝色链霉菌、阿维链霉菌、淡青链霉菌、筑波链霉菌、委内瑞拉链霉菌和运动发酵单胞菌。