Evidence map›Paper›PMID 39030344›Full record

ArticleNature microbiology2024

CRISPRi-TnSeq maps genome-wide interactions between essential and non-essential genes in bacteria.

Bimal Jana, Xue Liu, Julien Dénéréaz, Hongshik Park, Dmitry Leshchiner, Bruce Liu, Clément Gallay, Junhao Zhu, Jan-Willem Veening, Tim van Opijnen

Abstract read
In one paragraph

Article in Nature microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. CRISPRi-mediatedAntimicrobial agents and chemotherapy · 2026
    Article
  4. Article
  5. Microbiology spectrum · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. CRISPRi-mediated validation of candidatebioRxiv : the preprint server for biology · 2025
    Article
  10. Review
  11. Identifying essential genes inJournal of bacteriology · 2025
    Article
  12. Review
  13. Review
  14. Review
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

10 authors.

Bimal JanaDepartment of Biology, Boston College, Chestnut Hill, MA, USA.
Xue LiuDepartment of Pathogen Biology, Base for International Science and Technology Cooperation: Carson Cancer Stem Cell Vaccines R&D Center, International Cancer Center, Shenzhen University Health Science Center, Shenzhen, China.
Julien DénéréazDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-6047-1726
Hongshik ParkDepartment of Biology, Boston College, Chestnut Hill, MA, USA.
Dmitry LeshchinerDepartment of Biology, Boston College, Chestnut Hill, MA, USA.
Bruce LiuDepartment of Biology, Boston College, Chestnut Hill, MA, USA.
Clément GallayDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-6296-8928
Junhao ZhuCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Jan-Willem VeeningDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland. jan-willem.veening@unil.ch.ORCID http://orcid.org/0000-0002-3162-6634
Tim van OpijnenBroad Institute of MIT and Harvard, Cambridge, MA, USA. tim.vanopijnen@childrens.harvard.edu.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
Drug resistance enablers and their role in antibiotic treatment failureU19AI158076 · NIAID · BROAD INSTITUTE, INC. · PI VAN OPIJNEN, TIM · 2022 to 2025
$10.0M
Evolvable essentiality in the pan-genome of Streptococcus pneumoniae and its mechanistic and evolutionary consequencesR01AI171038 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Jason W. Rosch, Federico Antonio Rosconi · 2022 to 2026
$3.0M
A priori adaptive evolution predictions for antibiotic resistance through genome-wide network analyses and machine learningR01AI148470 · NIAID · BOSTON COLLEGE · PI ORTIZ-MARQUEZ, JUAN CESAR FEDERICO, VAN OPIJNEN, TIM · 2020 to 2024
$2.0M
Pooled and dual-guided CRISPRi, a genome-wide tool for genetic interaction mapping in high-throughputR21AI156203 · NIAID · BOSTON COLLEGE · PI ORTIZ-MARQUEZ, JUAN CESAR FEDERICO · 2021 to 2022
$430k
Implementing objective measures of adherence and low cost genotyping to assess a community based intervention to strengthen virologic outcomes among youth failing ARTR21AI124402 · NIAID · COLLEGE OF HEALTH SCIS UNIV OF ZIMBABWE · PI NDHLOVU, CHIRATIDZO ELLEN · 2016 to 2017
$293k
CRISPRi-Tn-Seq: A genome-wide high throughput tool for bacterial essential and nonessential genetic-interaction mapping.R03AI135737 · NIAID · BOSTON COLLEGE · PI VAN OPIJNEN, TIM · 2018 to 2019
$157k
National Natural Science Foundation of China (National Science Foundation of China) 82270012NIAID NIH HHS R01 AI148470NIAID NIH HHS R01 AI171038NIAID NIH HHS R03 AI135737NIAID NIH HHS R21 AI124402NIAID NIH HHS R21 AI156203NIAID NIH HHS U01 AI124302NIAID NIH HHS U19 AI158076U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) AI124302U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) AI124402U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) AI135737U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) AI156203U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) AI158076
6 · The paper itself

Abstract

Genetic interactions identify functional connections between genes and pathways, establishing gene functions or druggable targets. Here we use CRISPRi-TnSeq, CRISPRi-mediated knockdown of essential genes alongside TnSeq-mediated knockout of non-essential genes, to map genome-wide interactions between essential and non-essential genes in Streptococcus pneumoniae. Transposon-mutant libraries constructed in 13 CRISPRi strains enabled screening of ~24,000 gene pairs. This identified 1,334 genetic interactions, including 754 negative and 580 positive interactions. Network analyses show that 17 non-essential genes pleiotropically interact with more than half the essential genes tested. Validation experiments confirmed that a 7-gene subset protects against perturbations. Furthermore, we reveal hidden redundancies that compensate for essential gene loss, relationships between cell wall synthesis, integrity and cell division, and show that CRISPRi-TnSeq identifies synthetic and suppressor-type relationships between both functionally linked and disparate genes and pathways. Importantly, in species where CRISPRi and Tn-Seq are established, CRISPRi-TnSeq should be straightforward to implement.

Indexed as

CRISPR-Cas SystemsDNA Transposable ElementsGenes, EssentialGenome, BacterialStreptococcus pneumoniaeBacterial ProteinsClustered Regularly Interspaced Short Palindromic RepeatsGene Knockout TechniquesGene Regulatory NetworksGenes, BacterialBacterial ProteinsDNA Transposable Elements

Identifiers

PMID39030344
PMCPMC11371651

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.