Computational prediction of functional abortive RNA in E. coli

被引:0
作者
Marcus, Jeremy I. [1 ]
Hassouna, Soha [1 ,2 ]
Nair, Nikhil U. [2 ]
机构
[1] Tufts Univ, Dept Comp Sci, Medford, MA 02155 USA
[2] Tufts Univ, Dept Chem & Biol Engn, Medford, MA 02155 USA
关键词
Noncoding; RNA; Transcription; E; coli; Abortives; Regulation; INITIATION IN-VIVO; ESCHERICHIA-COLI; GENE-EXPRESSION; REGULATORY RNAS; ANTISENSE RNAS; NONCODING RNAS; POLYMERASE-II; TRANSCRIPTION; PROMOTER; VITRO;
D O I
10.1016/j.ygeno.2017.03.003
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Failure by RNA polymerase to break contacts with promoter DNA results in release of bound RNA and re-initiation of transcription. These abortive RNAs were assumed to be non-functional but have recently been shown to affect termination in bacteriophage T7. Little is known about the functional role of these RNA in other genetic models. Using a computational approach, we investigated whether abortive RNA could exert function in E. coli. Fragments generated from 3780 transcription units were used as query sequences within their respective transcription units to search for possible binding sites. Sites that fell within known regulatory features were then ranked based upon the free energy of hybridization to the abortive. We further hypothesize about mechanisms of regulatory action for a select number of likely matches. Future experimental validation of these putative abortive-mRNA pairs may confirm our findings and promote exploration of functional abortive RNAs (faRNAs) in natural and synthetic systems. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:196 / 203
页数:8
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