Transcription elongation is interrupted by sequences that inhibit nucleotide addition and cause RNA polymerase (RNAP) to pause. Here, by use of native-elongating-transcript sequencing (NET-seq) and a variant of NET-seq that enables analysis of mutant RNAP derivatives in merodiploid cells (mNET-seq), we analyze transcriptional pausing genome-wide in vivo in Escherichia coli. We identify a consensus pause-inducing sequence element, G−10Y−1G+1 (where −1 corresponds to the position of the RNA 3′ end). We demonstrate that sequence-specific interactions between RNA polymerase core enzyme and a core recognition element (CRE) that stabilize transcription initiation complexes also occur in transcription elongation complexes and facilitate pause read-through by stabilizing RNAP in a post-translocated register. Our findings identify key sequence determinants of transcriptional pausing and establish that RNAP-CRE interactions modulate pausing.
Toxin-antitoxin (TA) systems are widespread in prokaryotes. Among these, the mazEF TA system encodes an endoribonucleolytic toxin, MazF, that inhibits growth by sequence-specific cleavage of single-stranded RNA. Defining the physiological targets of a MazF toxin first requires the identification of its cleavage specificity, yet the current toolkit is antiquated and limited. We describe a rapid genome-scale approach, MORE (Mapping by Overexpression of an RNase in Escherichia coli) RNA-seq, for defining the cleavage specificity of endoribonucleolytic toxins. Application of MORE RNA-seq to MazF-mt3 from Mycobacterium tuberculosis reveals two critical ribosomal targets — the essential, evolutionarily conserved helix/loop 70 of 23S rRNA and the anti-Shine-Dalgarno (aSD) sequence of 16S rRNA. Our findings support an emerging model where both rRNA and mRNA are principal targets of MazF toxins and suggest that, as in E. coli, removal of the aSD sequence by a MazF toxin modifies ribosomes to selectively translate leaderless mRNAs in M. tuberculosis.
Allele age has long been a focus of population genetic research, primarily because it can be an important clue to the fitness effects of an allele. By virtue of their effects on fitness, alleles under directional selection are expected to be younger than neutral alleles of the same frequency. We developed a new coalescent-based estimator of a close proxy for allele age, the time when a copy of an allele first shares common ancestry with other chromosomes in a sample not carrying that allele. The estimator performs well, including for the very rarest of alleles that occur just once in a sample, with a bias that is typically negative. The estimator is mostly insensitive to population demography and to factors that can arise in population genomic pipelines, including the statistical phasing of chromosomes. Applications to 1000 Genomes Data and UK10K genome data confirm predictions that singleton alleles that alter proteins are significantly younger than those that do not, with a greater difference in the larger UK10K dataset, as expected. The 1000 Genomes populations varied markedly in their distributions for singleton allele ages, suggesting that these distributions can be used to inform models of demographic history, including recent events that are only revealed by their impacts on the ages of very rare alleles.
Transcription initiation that involves the use of a 2- to ~4-nt oligoribonucleotide primer, “primer-dependent initiation,” (PDI) has been shown to be widely prevalent at promoters of genes expressed during the stationary phase of growth in Escherichia coli. However, the extent to which PDI impacts E. coli physiology, and the extent to which PDI occurs in other bacteria is not known. Here we establish a physiological role for PDI in E. coli as a regulatory mechanism that modulates biofilm formation. We further demonstrate using high-throughput sequencing of RNA 5′ ends (5′ RNA-seq) that PDI occurs in the pathogenic bacterium Vibrio cholerae. A comparative global analysis of PDI in V. cholerae and E. coli reveals that the pattern of PDI is strikingly similar in the two organisms. In particular, PDI is detected in stationary phase, is not detected in exponential phase, and is preferentially apparent at promoters carrying the sequence T−1A+1 or G−1G+1 (where position +1 corresponds to the position of de novo initiation). Our findings demonstrate a physiological role for PDI and suggest PDI may be widespread among Gammaproteobacteria. We propose that PDI in both E. coli and V. cholerae occurs though a growth phase-dependent process that leads to the preferential generation of the linear dinucleotides 5´-UA-3´ and 5´-GG-3´.
The Pop-Gen Pipeline Platform (PPP) is a software platform for population genomic analyses. The PPP was designed as a collection of scripts that facilitate common population genomic workflows in a consistent and standardized Python environment. Functions were developed to encompass entire workflows, including: input preparation, file format conversion, various population genomic analyses, and output generation. The platform has also been developed with reproducibility and extensibility of analyses in mind. The PPP is an open-source package that is available for download and use at https://ppp.readthedocs.io/en/latest/PPP_pages/install.html
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