Evidence map›Paper›PMID 40021638›Full record

ArticleNature communications2025

Transcriptional diversification in a human-adapting zoonotic pathogen drives niche-specific evolution.

Soma Ghosh, Chao-Jung Wu, Abraham G Moller, Adrien Launay, Laina N Hall, Bryan T Hansen, Elizabeth R Fischer, Jung-Ho Youn, Pavel P Khil, John P Dekker

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Soma Ghosh *Bacterial Pathogenesis and Antimicrobial Resistance Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-6729-4838
Chao-Jung Wu *Bacterial Pathogenesis and Antimicrobial Resistance Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Abraham G MollerBacterial Pathogenesis and Antimicrobial Resistance Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Adrien LaunayBacterial Pathogenesis and Antimicrobial Resistance Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Laina N HallResearch Technologies Branch, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA.ORCID http://orcid.org/0000-0003-3135-332X
Bryan T HansenResearch Technologies Branch, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA.
Elizabeth R FischerResearch Technologies Branch, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA.
Jung-Ho YounNational Institutes of Health Clinical Center, National Institutes of Health, Bethesda, MD, USA.
Pavel P KhilBacterial Pathogenesis and Antimicrobial Resistance Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-4903-8777
John P DekkerBacterial Pathogenesis and Antimicrobial Resistance Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA. john.dekker@nih.gov.ORCID http://orcid.org/0000-0002-3701-5228

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial pathogens can undergo striking adaptive evolutionary change in the context of infection, driven by selection forces associated with host defenses and antibiotic treatment. In this work, we analyze the transcriptional landscape associated with adaptation in an emerging zoonotic pathogen, Bordetella hinzii, as it evolved during a 45-month infection in an IL12Rβ1-deficient immunocompromised host. We find evidence of multiple niche-specific modifications in the intravascular and gastrointestinal compartments, involving the superoxide dismutase system, glutamate and ectoine metabolism, chaperone-mediated protein folding, pilus organization, and peptide transport. Individual blood lineages displayed modifications in glutathione, phenylacetate, and 3-phenylpropionate metabolism, iron cluster assembly, and electron transport, whereas individual gastrointestinal lineages demonstrated changes relating to gluconeogenesis, de novo pyrimidine synthesis, and transport of peptides and phosphate ions. Down regulation of the flagellar operon with corresponding loss of flagellar structures occurred in multiple lineages, suggesting an evolutionary tradeoff between motility and host immune evasion. Finally, methylome analysis demonstrates alteration of global genome methylation associated with loss of a Type III methyltransferase. Our findings reveal striking plasticity in how pathogen transcriptomes explore functional space as they evolve in the context of host infection, and demonstrate that such analysis may uncover phenotypic adaptations not apparent from genomic analysis alone.

Indexed as

Evolution, MolecularZoonosesAdaptation, PhysiologicalAnimalsHumansImmunocompromised HostTranscriptome

Identifiers

PMID40021638
PMCPMC11871327

What OpenQuestion holds

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LicenceCC BY
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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.