Evidence map›Paper›PMID 40842837›Full record

ArticleFrontiers in microbiology2025

Protein functional domain analysis enhances genotype-phenotype associations in comparative genomic studies of

Irene Bianconi, Alfonso Esposito, Silvano Piazza, Elena Piffer, Elisabetta Pagani, Olivier Jousson

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Irene BianconiDepartment of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento, Italy.
Alfonso EspositoDepartment of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento, Italy.
Silvano PiazzaComputational Biology Unit, International Centre for Genetic Engineering and Biotechnology, ICGEB, Trieste, Italy.
Elena PifferDepartment of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento, Italy.
Elisabetta Pagani *Laboratory of Microbiology and Virology, Provincial Hospital of Bolzano (SABES-ASDAA), Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität, Bolzano, Italy.
Olivier Jousson *Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: The genomes of 40 strains of Results: The majority of our findings regarding phenotypic adaptation over time were consistent with the population structure and followed the evolutionary pathways described in the literature. However, an exact relationship between the presence of genes and specific phenotypes could not be established. The SAPP approach enabled the identification of 189 protein domains that were significantly enriched in antibiotic-resistant strains, as well as 87 domains associated with other phenotypic adaptations. In some cases, the domains were commonly associated with antibiotic resistances, for example, outer membrane efflux pumps and porins. However, we also detected a number of domains with unknown function. Discussion: Our findings provide a foundation for a more comprehensive understanding of the phenotypic adaptations occurring during microevolution in lung environments and facilitate the identification of new targets for the design of novel antimicrobial agents.

Indexed as

antimicrobial resistancecomparative genomicsfunctional domainsgenotype–phenotype relationshipPseudomonas aeruginosa

Identifiers

PMID40842837
PMCPMC12364933

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