Evidence map›Paper›PMID 36097170›Full record

ArticleNature microbiology2022

A bacterial pan-genome makes gene essentiality strain-dependent and evolvable.

Federico Rosconi, Emily Rudmann, Jien Li, Defne Surujon, Jon Anthony, Matthew Frank, Dakota S Jones, Charles Rock, Jason W Rosch, Christopher D Johnston and 1 more

Abstract read
In one paragraph

Article in Nature microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

  1. Article
  2. Review
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  8. Review
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  11. Article
  12. Defining thebioRxiv : the preprint server for biology · 2026
    Article
  13. Microbiology spectrum · 2026
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  14. Article
  15. Article
  16. Article
  17. PanForest: predicting genes in genomes using random forests.Bioinformatics (Oxford, England) · 2026
    Article
  18. Article
  19. Suppressor analysis inFrontiers in microbiology · 2026
    Article
  20. Article

23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Federico RosconiBiology Department, Boston College, Chestnut Hill, MA, USA.ORCID http://orcid.org/0000-0001-6760-9003
Emily Rudmann *Biology Department, Boston College, Chestnut Hill, MA, USA.
Jien Li *Biology Department, Boston College, Chestnut Hill, MA, USA.
Defne SurujonBiology Department, Boston College, Chestnut Hill, MA, USA.
Jon AnthonyBiology Department, Boston College, Chestnut Hill, MA, USA.
Matthew FrankDepartment of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, USA.
Dakota S JonesVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-8423-6840
Charles RockDepartment of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, USA.ORCID http://orcid.org/0000-0001-8648-4189
Jason W RoschDepartment of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, USA.ORCID http://orcid.org/0000-0002-1798-1760
Christopher D JohnstonVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Tim van OpijnenBiology Department, Boston College, Chestnut Hill, MA, USA. tvanopij@broadinstitute.org.ORCID http://orcid.org/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
REGULATION OF LIPID METABOLISM IN E COLIR01GM034496 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI ROCK, CHARLES O · 1985 to 2022
$9.2M
The SyngenicDNA and μPOET Platform: Overcoming Innate Barriers to Genetic Engineering in Bacteria.R01DE027850 · NIDCR · FRED HUTCHINSON CANCER RESEARCH CENTER · PI JOHNSTON, CHRISTOPHER D · 2017 to 2021
$4.9M
The bacterial response to antibiotics and the evolution of antibiotic resistanceR01AI110724 · NIAID · BOSTON COLLEGE · PI VAN OPIJNEN, TIM · 2015 to 2019
$2.0M
Predicting species-wide virulence for a bacterial pathogen with a large pan-genomeR21AI117247 · NIAID · BOSTON COLLEGE · PI VAN OPIJNEN, TIM · 2016 to 2017
$430k
NIAID NIH HHS R01 AI110724NIAID NIH HHS R21 AI117247NIAID NIH HHS U01 AI124302NIDCR NIH HHS R01 DE027850NIGMS NIH HHS R01 GM034496
6 · The paper itself

Abstract

Many bacterial species are represented by a pan-genome, whose genetic repertoire far outstrips that of any single bacterial genome. Here we investigate how a bacterial pan-genome might influence gene essentiality and whether essential genes that are initially critical for the survival of an organism can evolve to become non-essential. By using Transposon insertion sequencing (Tn-seq), whole-genome sequencing and RNA-seq on a set of 36 clinical Streptococcus pneumoniae strains representative of >68% of the species' pan-genome, we identify a species-wide 'essentialome' that can be subdivided into universal, core strain-specific and accessory essential genes. By employing 'forced-evolution experiments', we show that specific genetic changes allow bacteria to bypass essentiality. Moreover, by untangling several genetic mechanisms, we show that gene essentiality can be highly influenced by and/or be dependent on: (1) the composition of the accessory genome, (2) the accumulation of toxic intermediates, (3) functional redundancy, (4) efficient recycling of critical metabolites and (5) pathway rewiring. While this functional characterization underscores the evolvability potential of many essential genes, we also show that genes with differential essentiality remain important antimicrobial drug target candidates, as their inactivation almost always has a severe fitness cost in vivo.

Indexed as

DNA Transposable ElementsGenome, BacterialGenes, EssentialStreptococcus pneumoniaeWhole Genome SequencingDNA Transposable Elements

Identifiers

PMID36097170
PMCPMC9519441

What OpenQuestion holds

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Registered trials

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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.