PLoS pathogens

Genetic factors affecting Haemophilus influenzae growth in different environments identified by CRISPRi-seq

Updated

Abstract

Essence

An inducible -seq platform mapped medium-specific growth genes in Haemophilus influenzae and refined its essential gene set.

Evidence

A genome-wide in vitro CRISPRi-seq study in H. influenzae across two culture media identified medium-dependent fitness costs for multiple genes, showed some programmed fitness defects were rescuable, and refined earlier Tn-seq essentialome calls.

Caveat

These results are limited to in vitro growth conditions, so they do not directly show which genes matter during infection or predict drug or vaccine efficacy.

Simplified

Key numbers

99.27%
Genome Coverage
Percentage of the H. influenzae genome targeted by the library.
531
Essential Genes Identified
Number of essential genes shared between sBHI and media.

Key figures

Fig 1
Development and validation of a gene silencing system in Haemophilus influenzae
Sets up a controllable CRISPRi platform highlighting growth reduction upon gene silencing in H. influenzae
ppat.1013650.g001
  • Panel A
    Schematic of genetic engineering to insert and expression cassettes into the H. influenzae chromosome using and vector cloning steps
  • Panel B
    Growth curves of dcas9 strain and strains expressing sspA, fabH, or glyA sgRNAs with and without inducer; growth is visibly reduced with aTc in fabH and glyA sgRNA strains
  • Panel C
    Workflow for constructing a genome-wide CRISPRi sgRNA library by annealing oligos, cloning into pPEPZHi vector, transforming into E. coli, plasmid purification, and final transformation into H. influenzae dcas9 strain
Fig 2
Growth, cell shape, and nucleoid structure in H. influenzae with targeting specific genes
Highlights reduced growth and altered cell and nucleoid morphology upon CRISPRi induction targeting essential genes and
ppat.1013650.g002
  • Panel A
    Growth curves (optical density over 15 hours) for strains targeting ftsZ and dnaA genes, showing reduced growth with induction (black circles) compared to no induction (white circles)
  • Panel B
    Phase contrast microscopy images of bacterial morphology for strains without (-) or with sspA, ftsZ, and dnaA , showing visibly elongated cells in ftsZ and dnaA strains with aTc
  • Panel C
    Detailed phase contrast and -stained images showing nucleoid morphology changes in ftsZ and dnaA strains with and without aTc; induced cells (+aTc) appear elongated with altered nucleoid organization outlined in several cells
Fig 3
gene fitness during Haemophilus influenzae growth in sBHI medium
Highlights stronger fitness loss over time for essential genes during induction in H. influenzae growth
ppat.1013650.g003
  • Panel A
    Experimental workflow showing CRISPRi library growth with and without inducer, DNA extraction, sequencing, and analysis after 7, 14, and 21 generations
  • Panels B
    Volcano plots of fitness scores at 7, 14, and 21 generations; red dots mark essential genes with significant fitness loss ( < -1, P < 0.05)
  • Panel C
    Heatmap with hierarchical clustering of significantly enriched or depleted sgRNAs over three timepoints; red indicates fitness loss, blue indicates fitness gain
  • Panel D
    Venn diagram showing overlap of sgRNAs with reduced abundance after aTc induction at 7, 14, and 21 generations
  • Panel E
    Growth curves () of strains expressing specific sgRNAs with and without aTc; growth is visibly reduced in presence of aTc for HI_t06, dnaE, and rpoH
Fig 4
gene fitness scores and growth effects in H. influenzae during medium growth
Highlights stronger fitness loss and growth reduction over time for essential genes targeted by in H. influenzae grown in CDM.
ppat.1013650.g004
  • Panels A
    Volcano plots of target fitness scores at 7, 14, and 21 generations showing essential genes with significant fitness loss ( < -1, P < 0.05) as red dots.
  • Panel B
    Heatmap with hierarchical clustering of significantly enriched or depleted sgRNAs over three timepoints; red indicates fitness loss and blue indicates fitness gain.
  • Panel C
    Venn diagram showing overlap of sgRNAs with reduced abundance after induction at 7, 14, and 21 generations, with 259 sgRNAs common to all timepoints.
  • Panel D
    Growth curves of derivative strains expressing specific sgRNAs in CDM with and without ; growth () is visibly reduced in presence of aTc for dnaE, rpoH, and rplO sgRNAs compared to controls.
Fig 5
Medium-specific essential genes and growth effects in Haemophilus influenzae.
Highlights distinct gene essentiality and growth impairment patterns between nutrient-rich and defined media in H. influenzae.
ppat.1013650.g005
  • Panel A
    Number of essential genes by COG functional categories in sBHI (blue) and (red) media.
  • Panel B
    Scatterplot of gene fitness scores after 21 generations in sBHI versus CDM; blue, red, black dots indicate medium-specific or shared essential genes, with labeled genes essential in at least one medium.
  • Panel C
    in CDM showing gene ratio, number of differentially essential genes (dot size), and significance (color) for metabolic pathways.
  • Panels D and E
    Growth curves () over 15 hours for strains expressing targeting guaB (D) and ilvE (E) in sBHI and CDM, with and without induction; black circles (+aTc) show visibly reduced growth compared to white circles (-aTc) in CDM.
1 / 5

Full Text

What this is

  • This research presents a platform for gene regulation in Haemophilus influenzae, enhancing functional genomics in bacteria.
  • The platform enables genome-wide fitness analyses, revealing growth medium-dependent fitness costs for various genes.
  • An extensive online resource, HaemoBrowse, is introduced for visualizing genome annotations and spacers.

Essence

  • The study develops a system that allows for precise gene regulation in H. influenzae, uncovering essential genes and their medium-dependent fitness costs.

Key takeaways

  • The platform covers 99.27% of the H. influenzae genome, facilitating the study of essential genes across different growth conditions.
  • Fitness analysis revealed that 531 genes were essential in both sBHI and CDM media, with 80.3% of these genes shared between the two conditions.
  • The platform demonstrated that gene silencing effects could be reversed by supplementing the growth medium with specific nutrients, such as L-serine.

Caveats

  • The study's findings are based on laboratory conditions, which may not fully replicate in vivo environments.
  • The system's effectiveness may vary based on the genetic context of the targeted genes.

Definitions

  • CRISPRi: A technology that uses CRISPR to inhibit gene expression without altering the DNA sequence.
  • sgRNA: Single-guide RNA, a component of the CRISPR system that directs the Cas9 protein to the target DNA.

Simplified

Funding

Competing interests

1 of 8
authors report competing interests
PubMed

What Lands in Your Inbox Each Week:

  • 📚7 fresh studies
  • 📝plain-language summaries
  • ✅direct links to original studies
  • 🏅top journal indicators
  • 📅weekly delivery
  • 🧘‍♂️always free