Evidence map›Paper›PMID 30517198›Full record

ArticlePLoS pathogens2018

The Transcriptional landscape of Streptococcus pneumoniae TIGR4 reveals a complex operon architecture and abundant riboregulation critical for growth and virulence.

Indu Warrier, Nikhil Ram-Mohan, Zeyu Zhu, Ariana Hazery, Haley Echlin, Jason Rosch, Michelle M Meyer, Tim van Opijnen

Abstract read
In one paragraph

Article in PLoS pathogens, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Article
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  3. Microbiology spectrum · 2026
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  6. Analysis of 3'-seq data from multiplebioRxiv : the preprint server for biology · 2025
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  15. Article
  16. Article
  17. An RNA-centric global view ofProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Review
  19. BSGatlas: a unifiedMicrobial genomics · 2021
    Article
  20. An in vivo atlas of host-pathogen transcriptomes duringProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Indu WarrierBiology Department, Boston College, Chestnut Hill, Massachusetts, United States of America.ORCID 0000-0002-6225-7149
Nikhil Ram-MohanBiology Department, Boston College, Chestnut Hill, Massachusetts, United States of America.ORCID 0000-0002-7761-2772
Zeyu ZhuBiology Department, Boston College, Chestnut Hill, Massachusetts, United States of America.
Ariana HazeryBiology Department, Boston College, Chestnut Hill, Massachusetts, United States of America.ORCID 0000-0003-2940-7106
Haley EchlinDepartment of Infectious Diseases, St Jude Children's Research Hospital, Memphis, Tennessee, United States of America.
Jason RoschDepartment of Infectious Diseases, St Jude Children's Research Hospital, Memphis, Tennessee, United States of America.
Michelle M MeyerBiology Department, Boston College, Chestnut Hill, Massachusetts, United States of America.ORCID 0000-0001-7014-9271
Tim van OpijnenBiology Department, Boston College, Chestnut Hill, Massachusetts, United States of America.ORCID 0000-0001-6895-6795

Funding

Predicting the emergence of antibiotic resistance through multi-omics approaches and Immune System-surveillanU01AI124302 · NIAID · BOSTON COLLEGE · PI BENTO, JOSE, COOPER, VAUGHN · 2016 to 2020
$10.2M
The bacterial response to antibiotics and the evolution of antibiotic resistanceR01AI110724 · NIAID · BOSTON COLLEGE · PI VAN OPIJNEN, TIM · 2015 to 2019
$2.0M
Evolutionary forces that maintain structured RNA regulators in commensal and pathogenic bacteriaR01GM115931 · NIGMS · BOSTON COLLEGE · PI MEYER, MICHELLE MARGARET, VAN OPIJNEN, TIM · 2015 to 2018
$1.2M
NIAID NIH HHS R01 AI110724NIAID NIH HHS U01 AI124302NIGMS NIH HHS R01 GM115931
6 · The paper itself

Abstract

Efficient and highly organized regulation of transcription is fundamental to an organism's ability to survive, proliferate, and quickly respond to its environment. Therefore, precise mapping of transcriptional units and understanding their regulation is crucial to determining how pathogenic bacteria cause disease and how they may be inhibited. In this study, we map the transcriptional landscape of the bacterial pathogen Streptococcus pneumoniae TIGR4 by applying a combination of high-throughput RNA-sequencing techniques. We successfully map 1864 high confidence transcription termination sites (TTSs), 790 high confidence transcription start sites (TSSs) (742 primary, and 48 secondary), and 1360 low confidence TSSs (74 secondary and 1286 primary) to yield a total of 2150 TSSs. Furthermore, our study reveals a complex transcriptome wherein environment-respondent alternate transcriptional units are observed within operons stemming from internal TSSs and TTSs. Additionally, we identify many putative cis-regulatory RNA elements and riboswitches within 5'-untranslated regions (5'-UTR). By integrating TSSs and TTSs with independently collected RNA-Seq datasets from a variety of conditions, we establish the response of these regulators to changes in growth conditions and validate several of them. Furthermore, to demonstrate the importance of ribo-regulation by 5'-UTR elements for in vivo virulence, we show that the pyrR regulatory element is essential for survival, successful colonization and infection in mice suggesting that such RNA elements are potential drug targets. Importantly, we show that our approach of combining high-throughput sequencing with in vivo experiments can reconstruct a global understanding of regulation, but also pave the way for discovery of compounds that target (ribo-)regulators to mitigate virulence and antibiotic resistance.

Indexed as

AnimalsGenes, BacterialHigh-Throughput Nucleotide SequencingMiceOperonStreptococcus pneumoniaeTranscription, GeneticVirulence

Identifiers

PMID30517198
PMCPMC6296669

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.