mSphere of Influence: Rethinking microbial identity through variability

Laura Veschetti works in the field of microbial genomics and adaptation. In this mSphere of Influence article, she reflects on how the work of Marvig et al. on within-host evolution of <i>Pseudomonas aeruginosa</i>, together with long-term evolution experiments by Lenski and colleagues, reshaped her understanding of microbial identity by framing variability as a defining biological feature rather than an exception. Drawing on concepts from population genomics, pangenomics, and regulatory heterogeneity, she discusses how focusing on evolutionary processes rather than static reference genomes has influenced her approach to studying bacterial adaptation.

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Publication Details

Journal
mSphere
Published
2026-03-09
DOI
https://doi.org/10.1128/msphere.00026-26
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

mSphere of Influence: Rethinking microbial identity through variability

Laura Veschetti
mSphere
Evolution and Genetic Dynamics
article

mSphere of Influence: Rethinking microbial identity through variability

Laura Veschetti
article en

Abstract

Laura Veschetti works in the field of microbial genomics and adaptation. In this mSphere of Influence article, she reflects on how the work of Marvig et al. on within-host evolution of <i>Pseudomonas aeruginosa</i>, together with long-term evolution experiments by Lenski and colleagues, reshaped her understanding of microbial identity by framing variability as a defining biological feature rather than an exception. Drawing on concepts from population genomics, pangenomics, and regulatory heterogeneity, she discusses how focusing on evolutionary processes rather than static reference genomes has influenced her approach to studying bacterial adaptation.

mSphere
Vita-Salute San Raffaele University (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT)
Openalex Percentile: Top 29%
Evolution and Genetic Dynamics
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